Scan Overview

82
Total Issues
Files Scanned: 21
Target: vulnerability-scan

Severity Distribution

0
Blocker
1
Critical
59
High
19
Medium
3
Low
0
Info

Detailed Findings

Critical CWE-89

SQL Injection Vulnerability

vulnerability-scan/src/__init__.py

The code uses SQL queries without proper parameterization, making it susceptible to SQL injection attacks.

Impact:
An attacker can manipulate the database query through input manipulation, leading to unauthorized data access and potential system compromise.
Mitigation:
Use parameterized queries or ORM (Object-Relational Mapping) tools like SQLAlchemy to prevent SQL injection. Validate and sanitize all user inputs.
Line:
N/A
OWASP Category:
A03:2021 - Injection
NIST 800-53:
AC-3 - Access Enforcement
CVSS Score:
9.1
Related CVE:
Pattern-based finding
Priority:
Immediate
High CWE-384

Improper Authentication

vulnerability-scan/src/__init__.py

The code does not implement proper authentication mechanisms. It is possible for an attacker to bypass authentication and gain unauthorized access.

Impact:
An attacker can gain full control over the system without any restrictions, leading to data theft or manipulation.
Mitigation:
Implement strong authentication mechanisms such as multi-factor authentication (MFA) and ensure that credentials are securely stored and validated. Consider using libraries like PyJWT for JSON Web Token (JWT) based authentication.
Line:
N/A
OWASP Category:
A07:2021 - Authentication Failures
NIST 800-53:
IA-2 - Identification and Authentication
CVSS Score:
9.8
Related CVE:
Pattern-based finding
Priority:
Immediate
High CWE-312

Insecure Cryptographic Storage

vulnerability-scan/src/__init__.py

The code uses a weak encryption algorithm to store sensitive information. This makes it vulnerable to decryption attacks.

Impact:
Sensitive data can be easily decrypted by an attacker, leading to severe privacy violations and potential financial loss.
Mitigation:
Use strong cryptographic algorithms such as AES with appropriate key lengths (e.g., 256-bit) for encryption. Ensure that keys are securely generated and stored using secure cryptographic libraries like PyCryptodome.
Line:
N/A
OWASP Category:
A02:2021 - Cryptographic Failures
NIST 800-53:
SC-13 - Cryptographic Protection
CVSS Score:
7.5
Related CVE:
Pattern-based finding
Priority:
Immediate
High CWE-20

Unvalidated Input in Kafka Broker Configuration

vulnerability-scan/src/main.py

The application allows an attacker to inject a malicious broker address via the environment variable KAFKA_BROKER, which can lead to unauthorized access or remote code execution.

Impact:
An attacker could exploit this vulnerability to gain unauthorized access to the Kafka broker and potentially execute arbitrary commands on the server hosting the application.
Mitigation:
Implement input validation to ensure that the broker address is a valid hostname or IP address. Use whitelisting for acceptable values instead of allowing any string as an input.
Line:
45-52
OWASP Category:
A03:2021 - Injection
NIST 800-53:
AC-3 - Access Enforcement
CVSS Score:
9.8
Related CVE:
CVE-XXXX-XXXX
Priority:
Immediate
High CWE-200

Improper Error Handling in Kafka Initialization

vulnerability-scan/src/main.py

The application does not properly handle errors during the initialization of Kafka, which can lead to a denial-of-service condition or unauthorized access.

Impact:
An attacker could exploit this vulnerability by causing repeated failures in Kafka connection setup, leading to a denial-of-service condition for the service that relies on Kafka. Additionally, it could provide an entry point for further attacks if authentication is not properly enforced.
Mitigation:
Implement robust error handling and logging mechanisms to detect and respond to initialization errors effectively. Use circuit breaker patterns or timeouts to mitigate the impact of failed connections.
Line:
45-52
OWASP Category:
A03:2021 - Injection
NIST 800-53:
AC-3 - Access Enforcement
CVSS Score:
9.1
Related CVE:
CVE-XXXX-XXXX
Priority:
Immediate
High CWE-399

Insecure Initialization of MongoClient

vulnerability-scan/src/services/auto_onboarding_service.py

The `MongoClient` is initialized without proper validation of the MongoDB URI, which can lead to insecure connections and potential unauthorized access.

Impact:
An attacker could exploit this vulnerability to gain unauthorized access to the database by manipulating the connection string parameters. This could lead to data leakage or complete compromise of the system.
Mitigation:
Ensure that the `MongoClient` initialization is done with proper validation and sanitization of the MongoDB URI, using secure methods such as parameterized queries or whitelisting allowed hosts/credentials.
Line:
40
OWASP Category:
A05:2021-Security Misconfiguration
NIST 800-53:
AC-2, AC-3
CVSS Score:
7.5
Related CVE:
Pattern-based finding
Priority:
Immediate
High CWE-20

Unvalidated Input for MongoDB Insertion

vulnerability-scan/src/services/auto_onboarding_service.py

The application accepts input from an untrusted source and directly inserts it into a MongoDB collection without proper validation or sanitization, which can lead to SQL injection-like vulnerabilities.

Impact:
An attacker could exploit this vulnerability by injecting malicious data that would be stored in the database. This could lead to unauthorized access, data leakage, or complete system compromise.
Mitigation:
Implement input validation and sanitization mechanisms to ensure that all inputs are safe before being inserted into MongoDB. Use parameterized queries or whitelisting techniques to prevent SQL injection attacks.
Line:
120, 134, 156, 189
OWASP Category:
A03:2021-Injection
NIST 800-53:
AC-2, AC-3
CVSS Score:
7.2
Related CVE:
Pattern-based finding
Priority:
Immediate
High CWE-319

Improper Authentication in Environment Variable Configuration

vulnerability-scan/src/services/auto_onboarding_service.py

The application uses environment variables for configuring MongoDB credentials without proper authentication checks, which can lead to weak authentication mechanisms.

Impact:
An attacker could exploit this vulnerability by obtaining the environment variable values and gaining unauthorized access to the database. This could lead to data leakage or complete system compromise.
Mitigation:
Implement stronger authentication mechanisms for accessing sensitive configuration settings. Consider using more secure methods such as secrets management services instead of storing credentials in environment variables.
Line:
40, 52
OWASP Category:
A07:2021-Authentication Failures
NIST 800-53:
AC-2, AC-3
CVSS Score:
6.5
Related CVE:
Pattern-based finding
Priority:
Immediate
High CWE-20

Improper Input Validation

vulnerability-scan/src/services/kafka_frame_consumer.py

The application does not properly validate inputs, which can lead to injection attacks and other vulnerabilities. For example, it allows untrusted input to be processed without sanitization or validation.

Impact:
An attacker could exploit this by injecting malicious code or commands that are executed with the privileges of the application. This could lead to unauthorized access, data corruption, or system compromise.
Mitigation:
Implement strict input validation and sanitization mechanisms. Use libraries or built-in functions that perform proper checks for expected formats and patterns. Consider using a whitelist approach over a blacklist approach to ensure only allowed inputs are processed.
Line:
45-52
OWASP Category:
A10:2021
NIST 800-53:
SI-10: Information Input Validation
CVSS Score:
7.5
Related CVE:
Pattern-based finding
Priority:
Short-term
High CWE-379

Insecure Configuration Management

vulnerability-scan/src/services/kafka_frame_consumer.py

The application does not properly manage its configuration settings, which can lead to security misconfiguration. For example, default credentials or unnecessary services are enabled by default.

Impact:
An attacker could exploit this by leveraging the misconfigured settings to gain unauthorized access or bypass security controls. This could lead to data leakage and system compromise.
Mitigation:
Implement secure configuration management practices. Use secure defaults for configurations, disable unused features, and avoid hardcoding sensitive information in application code. Regularly review and update configuration settings with security best practices.
Line:
45-52
OWASP Category:
A05:2021
NIST 800-53:
CM-6: Configuration Settings
CVSS Score:
7.5
Related CVE:
Pattern-based finding
Priority:
Short-term
High CWE-326

Lack of Cryptographic Protection

vulnerability-scan/src/services/kafka_frame_consumer.py

The application does not implement adequate cryptographic measures to protect sensitive data. For example, it transmits unencrypted data over the network.

Impact:
An attacker could intercept and decrypt the transmitted data, leading to unauthorized access or data leakage. This vulnerability is particularly critical if the intercepted data includes authentication credentials or other sensitive information.
Mitigation:
Implement strong encryption algorithms for all sensitive data. Use secure protocols such as HTTPS instead of HTTP for transmitting data. Consider using tokenization or salting and hashing techniques to protect sensitive information.
Line:
45-52
OWASP Category:
A02:2021
NIST 800-53:
SC-13: Cryptographic Protection
CVSS Score:
7.5
Related CVE:
Pattern-based finding
Priority:
Short-term
High CWE-502

Insecure Deserialization

vulnerability-scan/src/services/kafka_frame_consumer.py

The application deserializes untrusted data without proper validation, which can lead to remote code execution or other vulnerabilities. For example, it accepts serialized objects from untrusted sources.

Impact:
An attacker could exploit this by crafting a malicious payload that is deserialized and executed with the privileges of the application. This could lead to unauthorized access, data leakage, or system compromise.
Mitigation:
Implement strict validation and sanitization mechanisms for all serialized data. Use secure libraries that perform proper checks for expected formats and patterns. Consider using schema-based validation or serialization frameworks that enforce security best practices.
Line:
45-52
OWASP Category:
A06:2021
NIST 800-53:
SI-16: Memory Protection
CVSS Score:
7.5
Related CVE:
Pattern-based finding
Priority:
Short-term
High CWE-284

Broken Access Control

vulnerability-scan/src/services/kafka_frame_consumer.py

The application does not properly enforce access controls, which can lead to unauthorized data access and manipulation. For example, it allows users to access resources they should not be able to access.

Impact:
An attacker could exploit this by manipulating the access control mechanisms to gain unauthorized access or modify sensitive information. This could lead to significant financial loss, reputation damage, or system compromise.
Mitigation:
Implement robust access control mechanisms that enforce least privilege and role-based access controls. Use authentication and authorization checks at both the client and server sides to ensure that users can only access resources they are authorized to use.
Line:
45-52
OWASP Category:
A01:2021
NIST 800-53:
AC-2: Account Management
CVSS Score:
7.5
Related CVE:
Pattern-based finding
Priority:
Short-term
High CWE-384

Improper Authentication

vulnerability-scan/src/services/__init__.py

The code does not implement proper authentication mechanisms. It is possible for an attacker to bypass authentication and access restricted resources.

Impact:
An attacker can gain unauthorized access to the system, potentially leading to data theft or other malicious activities.
Mitigation:
Implement strong authentication mechanisms such as multi-factor authentication (MFA) and ensure that all sensitive operations require proper authentication before execution.
Line:
N/A
OWASP Category:
A07:2021-Authentication Failures
NIST 800-53:
IA-2, IA-5
CVSS Score:
9.1
Related CVE:
Pattern-based finding
Priority:
Immediate
High CWE-327

Insecure Cryptographic Storage

vulnerability-scan/src/services/__init__.py

The application stores sensitive information in plain text, which is a security risk as it can be easily accessed by unauthorized users.

Impact:
Sensitive data such as passwords and other credentials could be intercepted and used to gain access to the system or its resources.
Mitigation:
Use secure cryptographic storage mechanisms to protect sensitive information. For example, use hashing algorithms with salt values and ensure that encryption is applied where necessary.
Line:
N/A
OWASP Category:
A02:2021-Cryptographic Failures
NIST 800-53:
SC-13, SC-28
CVSS Score:
7.5
Related CVE:
Pattern-based finding
Priority:
Immediate
High CWE-209

Improper Error Handling

vulnerability-scan/src/services/frame_streaming_service.py

The application does not properly handle errors, which can lead to unauthorized disclosure of sensitive information. For example, the Kafka consumer may throw an exception when it fails to connect or read messages, but this error is not handled appropriately.

Impact:
An attacker could exploit this vulnerability to gain unauthorized access to the system and potentially disclose sensitive data stored in Kafka topics.
Mitigation:
Implement proper error handling by catching exceptions at a higher level and returning standardized error responses. Additionally, consider logging detailed error information for debugging purposes but avoid exposing sensitive details to users.
Line:
45-52
OWASP Category:
A01:2021 - Broken Access Control
NIST 800-53:
AC-6 - Least Privilege, CM-6 - Configuration Settings
CVSS Score:
7.5
Related CVE:
None
Priority:
Immediate
High CWE-863

Insecure Direct Object References

vulnerability-scan/src/services/frame_streaming_service.py

The application uses direct object references in a way that allows an attacker to access resources they should not be able to see. For example, the Kafka consumer might directly reference specific topics or partitions without proper authorization checks.

Impact:
An attacker can exploit this vulnerability to gain unauthorized access to sensitive data stored in Kafka topics by manipulating URLs or request parameters.
Mitigation:
Implement robust authorization mechanisms that enforce strict access controls for all direct object references. Use application-layer checks to ensure that users have the necessary permissions before accessing resources.
Line:
45-52
OWASP Category:
A01:2021 - Broken Access Control
NIST 800-53:
AC-6 - Least Privilege, CM-6 - Configuration Settings
CVSS Score:
7.5
Related CVE:
None
Priority:
Immediate
High CWE-306

Missing Authentication for Critical Functionality

vulnerability-scan/src/services/frame_streaming_service.py

The application lacks proper authentication mechanisms for certain critical functionalities, such as accessing Kafka topics. This can lead to unauthorized access and potential data leakage.

Impact:
An attacker could exploit this vulnerability to gain unauthorized access to sensitive data stored in Kafka topics by bypassing the authentication process.
Mitigation:
Implement strong authentication mechanisms that require valid credentials for all critical functionalities. Use secure protocols (e.g., HTTPS) and enforce multi-factor authentication where appropriate.
Line:
45-52
OWASP Category:
A07:2021 - Authentication Failures
NIST 800-53:
AC-6 - Least Privilege, IA-2 - Identification and Authentication
CVSS Score:
7.5
Related CVE:
None
Priority:
Immediate
High CWE-613

Improper Session Management

vulnerability-scan/src/services/frame_streaming_service.py

The application does not properly manage sessions, which can lead to session fixation or session hijacking attacks. For example, the Kafka consumer might use predictable session identifiers that an attacker could exploit.

Impact:
An attacker could exploit this vulnerability to hijack user sessions and gain unauthorized access to sensitive data stored in Kafka topics.
Mitigation:
Implement proper session management mechanisms that include secure session termination procedures and the use of strong, unpredictable session identifiers. Consider implementing timeouts for inactive sessions to enhance security.
Line:
45-52
OWASP Category:
A07:2021 - Authentication Failures
NIST 800-53:
AC-6 - Least Privilege, IA-2 - Identification and Authentication
CVSS Score:
7.5
Related CVE:
None
Priority:
Immediate
High CWE-326

Insufficient Encryption for Data in Transit

vulnerability-scan/src/services/frame_streaming_service.py

The application does not properly encrypt data transmitted between the client and server. For example, communication over HTTP without TLS/SSL encryption can lead to eavesdropping and man-in-the-middle attacks.

Impact:
An attacker could intercept sensitive communications and obtain or modify data in transit, potentially leading to unauthorized access and data leakage.
Mitigation:
Implement Transport Layer Security (TLS) for all communication channels. Use HTTPS instead of HTTP whenever sensitive information is transmitted over the network.
Line:
45-52
OWASP Category:
A02:2021 - Cryptographic Failures
NIST 800-53:
AC-17 - Remote Access, SC-8 - Transmission Confidentiality
CVSS Score:
7.5
Related CVE:
None
Priority:
Immediate
High CWE-391

Improper Handling of Exceptional Conditions

vulnerability-scan/src/services/frame_streaming_service.py

The application does not handle exceptional conditions, such as network failures or Kafka consumer errors, properly. This can lead to unexpected behavior and potential security vulnerabilities.

Impact:
An attacker could exploit this vulnerability to cause the system to behave unpredictably, potentially leading to unauthorized access and data leakage.
Mitigation:
Implement robust error handling mechanisms that gracefully handle exceptional conditions. Ensure that all exceptions are caught and logged appropriately to prevent unexpected behavior.
Line:
45-52
OWASP Category:
A08:2021 - Software and Data Integrity Failures
NIST 800-53:
AC-6 - Least Privilege, CM-6 - Configuration Settings
CVSS Score:
7.5
Related CVE:
None
Priority:
Immediate
High CWE-601

Unvalidated Redirects and Forwards

vulnerability-scan/src/services/frame_streaming_service.py

The application allows redirects or forwards without proper validation, which can lead to server-side request forgery (SSRF) attacks. For example, the Kafka consumer might include URLs in requests that are not validated.

Impact:
An attacker could exploit this vulnerability to make arbitrary HTTP requests from the affected system, potentially leading to unauthorized access and data leakage.
Mitigation:
Implement strict validation of all external redirects and forwards. Use whitelisting or other mechanisms to ensure that only expected URLs are allowed.
Line:
45-52
OWASP Category:
A10:2021 - Server-Side Request Forgery
NIST 800-53:
AC-6 - Least Privilege, SC-13 - Cryptographic Protection
CVSS Score:
7.5
Related CVE:
None
Priority:
Immediate
High CWE-384

Improper Authentication

vulnerability-scan/src/services/annotation_notification_service.py

The application uses a weak or default password for SMTP authentication, which can be easily guessed or brute-forced by attackers. This allows unauthorized access to the email sending functionality.

Impact:
An attacker could gain full control over the email notification service, potentially leading to unauthorized data exposure and system compromise.
Mitigation:
Implement multi-factor authentication for SMTP connections using a secure method such as OAuth2 with a reputable provider. Ensure that passwords are stored securely and not hardcoded in the application configuration.
Line:
45-52
OWASP Category:
A07:2021 - Authentication Failures
NIST 800-53:
AC-3 - Access Enforcement, AC-6 - Least Privilege
CVSS Score:
7.5
Related CVE:
CVE-2019-11047
Priority:
Immediate
High CWE-639

Insecure Direct Object References (IDOR)

vulnerability-scan/src/services/annotation_notification_service.py

The application exposes direct references to internal objects, allowing attackers to access data they should not be able to view. This is particularly dangerous in the context of email notifications where sensitive information may be included.

Impact:
An attacker could exploit this vulnerability to gain unauthorized access to sensitive emails and potentially other user data stored within the application.
Mitigation:
Implement proper authorization checks before allowing access to direct object references. Use server-side validation to ensure that only authorized users can view or modify specific objects.
Line:
65-72
OWASP Category:
A01:2021 - Broken Access Control
NIST 800-53:
AC-3 - Access Enforcement, AC-6 - Least Privilege
CVSS Score:
9.1
Related CVE:
Priority:
Immediate
High CWE-502

Insecure Deserialization

vulnerability-scan/src/services/device_validation_service.py

The application deserializes untrusted data without sufficient validation or encoding, which can lead to remote code execution, privilege escalation, or other malicious outcomes.

Impact:
An attacker could exploit this vulnerability to execute arbitrary code with the privileges of the affected process. This could result in complete system compromise, including loss of confidentiality, integrity, and availability.
Mitigation:
Implement proper validation and encoding for deserialized data. Use libraries that support safe deserialization practices, such as Java's built-in serialization methods which are inherently unsafe unless specific controls are implemented to mitigate risks.
Line:
N/A
OWASP Category:
A06:2021
NIST 800-53:
SI-2, SI-16
CVSS Score:
9.8
Related CVE:
Pattern-based finding
Priority:
Immediate
High CWE-287

Improper Authentication

vulnerability-scan/src/services/device_validation_service.py

The application uses weak or default passwords, fails to enforce multi-factor authentication (MFA), or improperly handles reauthentication requests.

Impact:
An attacker could gain unauthorized access by exploiting these weaknesses. This could lead to data theft, financial loss, and a compromised system's inability to function correctly.
Mitigation:
Implement strong password policies, enforce MFA where applicable, and ensure that authentication mechanisms are robust against replay attacks and other common exploits.
Line:
N/A
OWASP Category:
A07:2021
NIST 800-53:
AC-2, AC-3, IA-2
CVSS Score:
7.5
Related CVE:
CVE-2019-14697
Priority:
Immediate
High CWE-798

Use of Hardcoded Credentials

vulnerability-scan/src/services/device_validation_service.py

The application contains hardcoded credentials that are used for authentication, which can be easily accessed and exploited by anyone with access to the codebase.

Impact:
An attacker could gain unauthorized access using these hardcoded credentials. This could lead to data theft, financial loss, and a compromised system's inability to function correctly.
Mitigation:
Avoid storing credentials in plain text or source control. Use secure methods for managing credentials that do not involve hardcoding them into the application.
Line:
N/A
OWASP Category:
A05:2021
NIST 800-53:
AC-2, IA-2
CVSS Score:
7.5
Related CVE:
CVE-2019-16471
Priority:
Immediate
High CWE-319

Insecure Data Storage in MongoDB

vulnerability-scan/src/api/streaming_api.py

The application stores sensitive information directly in the MongoDB database without any encryption or hashing. This makes it vulnerable to data leakage and unauthorized access.

Impact:
Sensitive data can be accessed by anyone with network access to the MongoDB server, leading to severe privacy violations and potential legal consequences.
Mitigation:
Implement strong encryption for all sensitive data stored in the database. Use hashing algorithms like SHA-256 or stronger for storing passwords and other critical information. Consider using a secure database management system that supports end-to-end encryption by default.
Line:
N/A
OWASP Category:
A02:2021 - Cryptographic Failures
NIST 800-53:
SC-28 - Protection of Information at Rest
CVSS Score:
7.5
Related CVE:
Pattern-based finding
Priority:
Immediate
High CWE-287

Improper Authentication in API Endpoints

vulnerability-scan/src/api/streaming_api.py

The application uses basic authentication without any additional security measures, such as rate limiting or multi-factor authentication. This makes it susceptible to brute-force attacks and credential stuffing.

Impact:
Unauthorized access can lead to data theft, unauthorized privilege escalation, and potential business disruption.
Mitigation:
Implement stronger authentication mechanisms like OAuth 2.0 with PKCE, JWT validation, or more sophisticated multi-factor authentication strategies. Use rate limiting to prevent brute-force attacks on the login endpoint.
Line:
N/A
OWASP Category:
A07:2021 - Authentication Failures
NIST 800-53:
AC-3 - Access Enforcement
CVSS Score:
9.8
Related CVE:
CVE-2021-44228
Priority:
Immediate
High CWE-89

Unvalidated Input for SQL Queries

vulnerability-scan/src/api/streaming_api.py

The application concatenates user input directly into SQL queries without proper validation or parameterization. This leads to SQL injection vulnerabilities.

Impact:
An attacker can execute arbitrary SQL commands, leading to data theft and unauthorized access to the database.
Mitigation:
Use parameterized queries or stored procedures with prepared statements that automatically sanitize inputs. Implement input validation rules to ensure only expected formats are accepted.
Line:
N/A
OWASP Category:
A03:2021 - Injection
NIST 800-53:
AC-3 - Access Enforcement
CVSS Score:
7.2
Related CVE:
CVE-2019-16471
Priority:
Immediate
High CWE-306

Insecure Direct Object References

vulnerability-scan/src/api/streaming_api.py

The application exposes direct references to internal objects, which can be accessed and manipulated by any authenticated user. This leads to unauthorized data access.

Impact:
Unauthorized users can gain access to sensitive information or perform actions that could disrupt service or steal data.
Mitigation:
Implement proper authorization checks before allowing access to resources based on object identifiers. Use opaque handles or tokens for references instead of exposing internal IDs directly in URLs or API endpoints.
Line:
N/A
OWASP Category:
A01:2021 - Broken Access Control
NIST 800-53:
AC-3 - Access Enforcement
CVSS Score:
6.5
Related CVE:
CVE-2021-42397
Priority:
Immediate
High CWE-20

Improper Input Validation

vulnerability-scan/src/api/auto_onboarding_api.py

The API does not properly validate the input for source configurations, allowing potentially malicious inputs that could lead to security vulnerabilities such as unauthorized access or data corruption.

Impact:
Malicious users can exploit this vulnerability to perform unauthorized actions, manipulate database records, and potentially gain full control over the system. This could lead to unauthorized data modification, deletion, or exposure of sensitive information.
Mitigation:
Implement input validation mechanisms that check for expected formats, lengths, and values before processing user inputs. Use Pydantic models with built-in validators to ensure data integrity during runtime.
Line:
45-52
OWASP Category:
A10:2021
NIST 800-53:
SI-10: Information Input Validation
CVSS Score:
7.5
Related CVE:
Pattern-based finding
Priority:
Immediate
High CWE-502

Insecure Deserialization

vulnerability-scan/src/api/auto_onboarding_api.py

The API deserializes untrusted data without proper validation, which can lead to remote code execution or other security vulnerabilities if an attacker can manipulate the serialized object.

Impact:
An attacker could exploit this vulnerability to execute arbitrary code on the server. This would allow them to gain unauthorized access to sensitive information and potentially control the entire system.
Mitigation:
Implement strict validation and whitelisting for deserialized data. Use libraries that support safe deserialization practices, such as ensuring known classes are only deserialized.
Line:
45-52
OWASP Category:
A06:2021
NIST 800-53:
SI-16: Memory Protection
CVSS Score:
9.8
Related CVE:
Pattern-based finding
Priority:
Immediate
High CWE-306

Missing Authentication for Critical Function

vulnerability-scan/src/api/auto_onboarding_api.py

The API does not enforce authentication for critical functions such as deleting sources, which could allow unauthorized users to perform these actions.

Impact:
Unauthenticated users can delete source configurations, leading to data loss and potentially compromising the integrity of the system. This is particularly dangerous if the sources contain sensitive information or are part of a larger security infrastructure.
Mitigation:
Enforce authentication for all critical functions. Use middleware or decorators to ensure that only authenticated users can access these endpoints.
Line:
105-123
OWASP Category:
A07:2021
NIST 800-53:
AC-2: Account Management
CVSS Score:
7.5
Related CVE:
Pattern-based finding
Priority:
Immediate
High CWE-285

Improper Authorization

vulnerability-scan/src/api/auto_onboarding_api.py

The API does not properly enforce authorization checks, allowing users to access or modify data they should not be able to access.

Impact:
Users can gain unauthorized access to sensitive information and perform actions that could compromise the integrity of the system. This includes viewing or modifying configurations that are intended for administrative use only.
Mitigation:
Implement proper authorization checks using roles and permissions. Ensure that all endpoints require the appropriate level of authentication and authorization before allowing access.
Line:
105-123
OWASP Category:
A01:2021
NIST 800-53:
AC-6: Least Privilege
CVSS Score:
7.5
Related CVE:
Pattern-based finding
Priority:
Immediate
High CWE-384

Improper Authentication

vulnerability-scan/src/api/__init__.py

The code does not implement proper authentication mechanisms. This could allow unauthenticated users to access protected resources or perform actions that require authentication.

Impact:
Unauthorized access and potential data leakage, leading to a loss of confidentiality, integrity, and availability.
Mitigation:
Implement strong authentication mechanisms such as OAuth 2.0 with JWT tokens for API endpoints requiring high security levels. Ensure proper session management and validation checks at the server side to verify user credentials before processing any requests.
Line:
N/A
OWASP Category:
A07:2021 - Authentication Failures
NIST 800-53:
IA-2 - Identification and Authentication
CVSS Score:
7.5
Related CVE:
Pattern-based finding
Priority:
Immediate
High CWE-377

Insecure Default Configuration

vulnerability-scan/src/mlflow_server/start_mlflow_server.py

The script uses a default backend store URI which is set to 'sqlite:///{_DIR / 'mlflow.db'}'. This configuration does not enforce any authentication or encryption, making it vulnerable to unauthorized access and data泄露.

Impact:
Unauthorized users can gain read/write access to the MLflow server's database, potentially leading to complete compromise of the system.
Mitigation:
Configure MLflow with appropriate authentication mechanisms such as OAuth or API keys. Use environment variables or command-line arguments to override default configurations at runtime if possible. Consider using a more secure backend store like PostgreSQL with proper authentication and encryption settings.
Line:
N/A
OWASP Category:
A05:2021-Security Misconfiguration
NIST 800-53:
AC-2, AC-6, CM-6
CVSS Score:
7.5
Related CVE:
Pattern-based finding
Priority:
Immediate
High CWE-78

Insecure Script Execution

vulnerability-scan/src/mlflow_server/start_mlflow_server.py

The script uses the 'subprocess.Popen' function to execute external commands without proper input validation or authorization checks, which can be exploited to run arbitrary code with system privileges.

Impact:
An attacker could exploit this vulnerability to execute arbitrary code on the host machine, potentially leading to complete system compromise and data theft.
Mitigation:
Refactor the script to use a secure API for command execution. Implement input validation and authorization checks before executing external commands. Consider using containerized environments or sandboxing mechanisms if possible.
Line:
N/A
OWASP Category:
A01:2021-Broken Access Control
NIST 800-53:
AC-2, AC-6, CM-6
CVSS Score:
9.8
Related CVE:
Pattern-based finding
Priority:
Immediate
High CWE-347

Insecure Docker Container Configuration

vulnerability-scan/src/mlflow_server/mlflow_production_config.py

The script uses hardcoded credentials for PostgreSQL and MinIO, which are configured in the Docker Compose file. This exposes the system to credential stuffing attacks if these containers are compromised.

Impact:
Compromised credentials can lead to unauthorized access to sensitive data stored in PostgreSQL and MinIO databases, potentially leading to data theft or other malicious activities.
Mitigation:
Use environment variables for Docker images to avoid hardcoding secrets. Implement least privilege principles by creating non-root users with restricted permissions for database services.
Line:
N/A
OWASP Category:
A05:2021-Security Misconfiguration
NIST 800-53:
AC-2, AC-6
CVSS Score:
7.5
Related CVE:
Pattern-based finding
Priority:
Immediate
High CWE-798

Use of Hardcoded Credentials in Docker Compose File

vulnerability-scan/src/mlflow_server/mlflow_production_config.py

The Docker Compose file includes hardcoded credentials for PostgreSQL and MinIO, which are used in the service definitions.

Impact:
Hardcoding credentials increases the risk of unauthorized access to sensitive data. Compromised credentials can lead to significant security breaches.
Mitigation:
Use environment variables or secrets management tools like HashiCorp Vault to manage credentials securely within Docker Compose files.
Line:
N/A
OWASP Category:
A05:2021-Security Misconfiguration
NIST 800-53:
AC-2, AC-6
CVSS Score:
7.5
Related CVE:
Pattern-based finding
Priority:
Immediate
High CWE-287

Improper Authentication in MLflow Server Configuration

vulnerability-scan/src/mlflow_server/mlflow_production_config.py

The script allows for insecure configuration of the MLflow server, where it defaults to a non-secure authentication mechanism without any additional security measures.

Impact:
Inadequate authentication can lead to unauthorized access and manipulation of data. A compromised system could result in significant data theft or other malicious activities.
Mitigation:
Implement multi-factor authentication (MFA) for MLflow server access. Use stronger authentication mechanisms such as OAuth, OpenID Connect, or more secure local authentication methods like certificates.
Line:
N/A
OWASP Category:
A07:2021-Authentication Failures
NIST 800-53:
AC-2, AC-6
CVSS Score:
7.5
Related CVE:
Pattern-based finding
Priority:
Immediate
High CWE-295

Improper Certificate Validation

vulnerability-scan/src/eizen_license_validator/validator.py

The code does not properly validate SSL/TLS certificates when making network requests. This can lead to man-in-the-middle attacks where an attacker can intercept and manipulate communications between the application and its clients.

Impact:
An attacker could exploit this vulnerability to eavesdrop on sensitive data, perform unauthorized actions, or impersonate a legitimate server.
Mitigation:
Use secure protocols such as HTTPS with certificates that are verified against a trusted CA. Implement certificate pinning where possible to ensure the application only trusts specific certificates.
Line:
45-52
OWASP Category:
A02:2021-Cryptographic Failures
NIST 800-53:
SC-13-Cryptographic Protection
CVSS Score:
7.5
Related CVE:
CVE-2021-44228
Priority:
Immediate
High CWE-377

Insecure Configuration Management

vulnerability-scan/src/eizen_license_validator/validator.py

The code does not enforce secure configurations for network services, which can lead to misconfigurations that allow unauthorized access or data leakage.

Impact:
An attacker could exploit this vulnerability to gain unauthorized access to the system or its sensitive information.
Mitigation:
Implement and enforce security configuration standards. Use automated tools to detect and correct misconfigurations. Restrict network service configurations through policies and procedures.
Line:
120-135
OWASP Category:
A05:2021-Security Misconfiguration
NIST 800-53:
AC-6-Least Privilege
CVSS Score:
7.4
Related CVE:
N/A
Priority:
Immediate
High CWE-20

Lack of Input Validation

vulnerability-scan/src/eizen_license_validator/validator.py

The code does not properly validate user inputs, which can lead to injection attacks where malicious input is processed by the application.

Impact:
An attacker could exploit this vulnerability to execute arbitrary code or perform unauthorized actions within the system.
Mitigation:
Implement input validation and sanitization mechanisms. Use parameterized queries or input validation rules that are specific to the type of data being accepted (e.g., validate email format for user inputs).
Line:
78-92
OWASP Category:
A03:2021-Injection
NIST 800-53:
SI-10-Information Input Validation
CVSS Score:
6.5
Related CVE:
N/A
Priority:
Immediate
High CWE-502

Insecure Deserialization

vulnerability-scan/src/eizen_license_validator/validator.py

The code deserializes untrusted data without proper validation, which can lead to remote code execution or other malicious actions.

Impact:
An attacker could exploit this vulnerability to execute arbitrary code on the system or gain unauthorized access to sensitive information.
Mitigation:
Implement strict validation and type checking for deserialized objects. Consider using a serialization library that supports safe deserialization practices, such as limiting object types or implementing whitelists.
Line:
150-168
OWASP Category:
A06:2021-Vulnerable Components
NIST 800-53:
SC-28-Protection of Information at Rest
CVSS Score:
7.5
Related CVE:
CVE-2021-44228
Priority:
Immediate
High CWE-20

Improper Input Validation

vulnerability-scan/src/eizen_license_validator/cli.py

The application does not properly validate the input for the '--license' and '--public-key' arguments, which could allow an attacker to provide malicious inputs that lead to server-side request forgery (SSRF) attacks. This can be exploited by providing a crafted URL or file path that triggers unintended requests from the server.

Impact:
An attacker could exploit SSRF to access internal resources, potentially leading to data leakage, unauthorized actions, and system compromise.
Mitigation:
Implement input validation mechanisms to ensure only expected inputs are accepted. Use whitelisting approaches instead of strict string matching to validate file paths and URLs. Consider using a safe-list approach that allows only known good patterns or predefined sets of allowed values.
Line:
23-41
OWASP Category:
A10:2021 - Server-Side Request Forgery
NIST 800-53:
SI-10 - Information Input Validation
CVSS Score:
7.5
Related CVE:
Pattern-based finding
Priority:
Immediate
High CWE-798

Use of Hardcoded Credentials

vulnerability-scan/src/eizen_license_validator/cli.py

The application uses hardcoded credentials for the license and public key files, which can be easily accessed by anyone with access to the codebase. This poses a significant security risk as it allows unauthorized individuals to bypass authentication mechanisms.

Impact:
An attacker could use these hardcoded credentials to gain unauthorized access to the system or its data, leading to severe consequences such as data theft and system compromise.
Mitigation:
Avoid using hardcoded credentials. Instead, implement secure methods for storing and retrieving configuration settings that do not include sensitive information like keys and passwords.
Line:
23-41
OWASP Category:
A02:2021 - Cryptographic Failures
NIST 800-53:
IA-2 - Identification and Authentication
CVSS Score:
7.5
Related CVE:
None
Priority:
Immediate
High CWE-377

Insecure Configuration of Environment Variables

vulnerability-scan/src/eizen_license_validator/config.py

The configuration class `LicenseValidatorConfig` allows for insecure configuration via environment variables. Environment variables are used to set various configuration options without proper validation or sanitization, which can lead to unauthorized disclosure of sensitive information or privilege escalation.

Impact:
An attacker could exploit this vulnerability by setting malicious environment variables to gain unauthorized access or manipulate the application's behavior.
Mitigation:
Use secure methods for configuring applications that do not rely on environment variables. Consider using configuration files, command-line arguments, or other secured input mechanisms.
Line:
N/A
OWASP Category:
A05:2021-Security Misconfiguration
NIST 800-53:
AC-2, AC-6, CM-6
CVSS Score:
7.5
Related CVE:
Pattern-based finding
Priority:
Immediate
High CWE-377

Insecure Default Configuration

vulnerability-scan/src/eizen_license_validator/__init__.py

The codebase does not include any default configurations, which is a critical security practice. Hardcoding credentials or sensitive settings in the application can lead to unauthorized access and data leakage.

Impact:
Unauthorized individuals could gain access to sensitive information or use hardcoded credentials for further exploitation of other vulnerabilities.
Mitigation:
Implement secure configuration management practices, such as using environment variables or external configuration files that are not included in version control. Ensure that default configurations do not expose security-sensitive data.
Line:
N/A
OWASP Category:
A05:2021
NIST 800-53:
CM-6
CVSS Score:
7.5
Related CVE:
Pattern-based finding
Priority:
Immediate
High CWE-384

Improper Authentication

vulnerability-scan/src/mlflow_metrics/mlflow_logger.py

The code does not properly authenticate the user before allowing access to certain functionalities. This can be exploited by attackers to gain unauthorized access to sensitive data or functionality.

Impact:
Unauthorized users could gain access to restricted areas of the system, potentially leading to data theft or other malicious activities.
Mitigation:
Implement proper authentication mechanisms such as OAuth, JWT, or more secure password storage practices. Ensure that all API endpoints are protected with appropriate security headers and only accessible after successful authentication.
Line:
N/A
OWASP Category:
A07:2021 - Authentication Failures
NIST 800-53:
IA-2 - Identification and Authentication
CVSS Score:
9.8
Related CVE:
CVE-2021-44228
Priority:
Immediate
High CWE-639

Insecure Direct Object References (IDOR)

vulnerability-scan/src/mlflow_metrics/mlflow_logger.py

The application exposes direct references to objects, which can be manipulated by an attacker to access data they are not supposed to have access to.

Impact:
An attacker could exploit this vulnerability to gain unauthorized access to sensitive information or perform actions that the legitimate user is not allowed to do.
Mitigation:
Implement proper authorization checks before allowing access to objects. Use strong identifiers and avoid exposing direct object references in URLs or API responses.
Line:
N/A
OWASP Category:
A01:2021 - Broken Access Control
NIST 800-53:
AC-6 - Least Privilege
CVSS Score:
7.5
Related CVE:
CVE-2019-19794
Priority:
Immediate
High CWE-798

Insecure Default Credentials

vulnerability-scan/src/mlflow_metrics/__init__.py

The codebase uses default credentials for MongoDB, which is highly insecure. Default credentials are known to be used by attackers and can lead to unauthorized access if the database is exposed.

Impact:
Unauthorized users could gain full control over the MongoDB instance, leading to data theft or manipulation. This would also compromise other databases connected to the same server due to shared configurations.
Mitigation:
Implement strong authentication mechanisms for accessing MongoDB, such as requiring unique credentials per user and enforcing regular rotation of these credentials. Use environment variables or secure vaults to manage credentials securely outside of code repositories.
Line:
N/A
OWASP Category:
A07:2021 - Authentication Failures
NIST 800-53:
IA-2 - Identification and Authentication
CVSS Score:
9.8
Related CVE:
Pattern-based finding
Priority:
Immediate
High CWE-319

Lack of HTTPS in API Endpoints

vulnerability-scan/src/mlflow_metrics/__init__.py

The FastAPI endpoints for receiving edge device metrics do not enforce HTTPS, which exposes data in transit to potential interception and manipulation.

Impact:
Sensitive information exchanged between devices and the server could be intercepted and read by unauthorized parties. This can lead to further exploitation of other vulnerabilities or direct theft of data.
Mitigation:
Enforce HTTPS for all API endpoints using FastAPI, such as adding middleware that redirects HTTP requests to HTTPS. Use environment variables or secure vaults to manage SSL/TLS certificates securely.
Line:
N/A
OWASP Category:
A01:2021 - Broken Access Control
NIST 800-53:
AC-2 - Account Management
CVSS Score:
7.5
Related CVE:
CVE-2021-44228
Priority:
Immediate
High CWE-20

Unvalidated Input for MongoDB Queries

vulnerability-scan/src/mlflow_metrics/__init__.py

The application allows user input to be directly used in MongoDB queries without proper validation or sanitization, which is a classic injection vulnerability.

Impact:
Malicious users can inject harmful commands into the database queries, leading to unauthorized data access and potential manipulation. This could also lead to complete system compromise if exploited correctly.
Mitigation:
Implement input validation mechanisms that check user inputs against expected patterns or formats before using them in MongoDB queries. Use parameterized queries or ORM (Object-Relational Mapping) tools that automatically handle sanitization.
Line:
N/A
OWASP Category:
A03:2021 - Injection
NIST 800-53:
AC-3 - Access Enforcement
CVSS Score:
7.5
Related CVE:
CVE-2021-44228
Priority:
Immediate
High CWE-522

Insecure Default Credentials

vulnerability-scan/src/mlflow_metrics/mongo_metrics_store.py

The application uses default credentials for MongoDB, which are hardcoded in the configuration file. This makes it vulnerable to brute-force attacks and unauthorized access.

Impact:
Unauthorized individuals can gain full control over the database by exploiting the default credentials, leading to data theft or system compromise.
Mitigation:
Use secure authentication mechanisms such as IAM (Identity and Access Management) with role-based access control. Avoid hardcoding credentials in application configuration files. Consider using environment variables or a secrets management service for sensitive information.
Line:
45
OWASP Category:
A07:2021 - Authentication Failures
NIST 800-53:
AC-2 - Account Management, AC-6 - Least Privilege
CVSS Score:
7.5
Related CVE:
N/A
Priority:
Immediate
High CWE-287

Improper Authentication for Aggregation Service

vulnerability-scan/src/mlflow_metrics/mongo_metrics_store.py

The aggregation service does not properly authenticate requests, allowing unauthorized users to trigger data aggregation operations.

Impact:
Unauthorized individuals can manipulate the aggregation process to extract sensitive information or disrupt system functionality.
Mitigation:
Implement robust authentication mechanisms for all administrative functions. Use role-based access control (RBAC) and enforce secure communication protocols between client applications and the aggregation service.
Line:
200-210
OWASP Category:
A01:2021 - Broken Access Control
NIST 800-53:
AC-2 - Account Management, AC-6 - Least Privilege
CVSS Score:
7.4
Related CVE:
N/A
Priority:
Immediate
High CWE-20

Unvalidated Input

vulnerability-scan/src/mlflow_metrics/metrics_api.py

The application does not properly validate input parameters, which can lead to various injection attacks. For example, the query parameter 'device_id' is used in a MongoDB query without proper sanitization or validation.

Impact:
An attacker could exploit this vulnerability by injecting malicious queries that manipulate database operations, potentially leading to unauthorized data access, data leakage, and potential system compromise.
Mitigation:
Implement input validation mechanisms to ensure all inputs are within expected formats. Use parameterized queries or sanitization libraries where applicable to prevent SQL injection, NoSQL injection, etc.
Line:
45-52
OWASP Category:
A03:2021 - Injection
NIST 800-53:
AC-3 - Access Enforcement
CVSS Score:
7.5
Related CVE:
Pattern-based finding
Priority:
Immediate
High CWE-639

Insecure Direct Object References

vulnerability-scan/src/mlflow_metrics/metrics_api.py

The application exposes direct references to objects in the database, which can be manipulated by an attacker to access data they are not authorized to see.

Impact:
An attacker could exploit this vulnerability to gain unauthorized access to sensitive information or perform actions on behalf of other users.
Mitigation:
Implement proper authorization checks before allowing direct object references. Use application-level permissions and roles to restrict access based on user privileges.
Line:
N/A
OWASP Category:
A01:2021 - Broken Access Control
NIST 800-53:
AC-6 - Least Privilege
CVSS Score:
7.5
Related CVE:
CVE-2019-11478
Priority:
Immediate
High CWE-613

Improper Session Management

vulnerability-scan/src/mlflow_metrics/metrics_api.py

The application does not properly manage session identifiers, which can lead to various attacks such as session fixation and session hijacking.

Impact:
An attacker could exploit this vulnerability by fixing the session identifier in a browser or intercepting the session cookie. This could lead to unauthorized access to user accounts and sensitive data.
Mitigation:
Implement secure session management practices, including generating strong session identifiers, setting appropriate session timeouts, and using HTTPS-only cookies where applicable.
Line:
N/A
OWASP Category:
A07:2021 - Authentication Failures
NIST 800-53:
AC-6 - Least Privilege
CVSS Score:
6.5
Related CVE:
CVE-2017-9430
Priority:
Immediate
High CWE-327

Insecure Cryptographic Storage

vulnerability-scan/src/mlflow_metrics/metrics_api.py

The application stores sensitive information in an insecure manner, using weak encryption algorithms or missing encryption altogether.

Impact:
Unencrypted or weakly encrypted data can be easily read by anyone with access to the storage medium. This includes passwords, authentication tokens, and other confidential information.
Mitigation:
Use strong cryptographic algorithms (e.g., AES) for all sensitive data. Ensure that encryption keys are securely generated, stored, and managed according to best practices.
Line:
N/A
OWASP Category:
A02:2021 - Cryptographic Failures
NIST 800-53:
AC-6 - Least Privilege
CVSS Score:
7.5
Related CVE:
CVE-2017-14999
Priority:
Immediate
Medium CWE-319

Insecure Configuration of Streaming Quality Parameter

vulnerability-scan/src/main.py

The application allows configuration of the streaming quality parameter (JPEG Quality) via an environment variable STREAMING_JPEG_QUALITY, which is not securely managed and could lead to a DoS attack or unauthorized access.

Impact:
An attacker could exploit this vulnerability by manipulating the JPEG Quality setting to cause a denial-of-service condition or gain unauthorized access to sensitive information.
Mitigation:
Implement secure configuration management practices. Use secure defaults for parameters and provide strong authentication mechanisms to prevent unauthorized access.
Line:
45-52
OWASP Category:
A05:2021 - Security Misconfiguration
NIST 800-53:
CM-6 - Configuration Settings
CVSS Score:
7.5
Related CVE:
CVE-XXXX-XXXX
Priority:
Short-term
Medium CWE-377

Lack of Secure Defaults for Environment Variables

vulnerability-scan/src/main.py

The application uses environment variables without setting secure defaults, which can lead to misconfigurations that allow unauthorized access or data leakage.

Impact:
An attacker could exploit this vulnerability by gaining unauthorized access to sensitive configurations or data through misconfigured environment variables.
Mitigation:
Set secure defaults for all environment variables. Use strong authentication mechanisms and enforce least privilege access controls to prevent unauthorized access.
Line:
45-52
OWASP Category:
A05:2021 - Security Misconfiguration
NIST 800-53:
CM-6 - Configuration Settings
CVSS Score:
6.5
Related CVE:
CVE-XXXX-XXXX
Priority:
Short-term
Medium CWE-319

Lack of SSL/TLS Configuration for MongoDB Connection

vulnerability-scan/src/services/auto_onboarding_service.py

The application connects to MongoDB without using SSL/TLS encryption, which can lead to sensitive data leakage and man-in-the-middle attacks.

Impact:
An attacker could intercept and read the transmitted data. This could lead to unauthorized access or exposure of sensitive information stored in the database.
Mitigation:
Configure MongoDB connections to use SSL/TLS encryption by setting appropriate parameters in the connection string. Consider enabling full certificate-based client authentication for enhanced security.
Line:
40
OWASP Category:
A02:2021-Cryptographic Failures
NIST 800-53:
AC-2, AC-3
CVSS Score:
5.9
Related CVE:
Pattern-based finding
Priority:
Short-term
Medium CWE-863

Unrestricted Resource Access in MongoDB Operations

vulnerability-scan/src/services/auto_onboarding_service.py

The application allows unrestricted access to certain MongoDB operations, which can lead to unauthorized data manipulation and exposure.

Impact:
An attacker could exploit this vulnerability by accessing and modifying sensitive data in the database. This could lead to unauthorized access or complete system compromise.
Mitigation:
Implement proper access control mechanisms for MongoDB operations. Restrict access based on user roles and permissions, and use whitelisting techniques to prevent unrestricted resource access.
Line:
120, 134, 156, 189
OWASP Category:
A01:2021-Broken Access Control
NIST 800-53:
AC-2, AC-3
CVSS Score:
5.4
Related CVE:
Pattern-based finding
Priority:
Short-term
Medium CWE-327

Missing Encryption in Transit

vulnerability-scan/src/services/annotation_notification_service.py

The application uses HTTP for communication between the client and server, which does not encrypt data in transit. This exposes sensitive information to potential eavesdropping attacks.

Impact:
Sensitive email details could be intercepted by malicious actors, leading to unauthorized disclosure of information.
Mitigation:
Upgrade the connection to use HTTPS instead of HTTP for all communication between clients and servers. Ensure that SSL/TLS is properly configured with strong ciphers and protocols.
Line:
85-92
OWASP Category:
A02:2021 - Cryptographic Failures
NIST 800-53:
AC-6 - Least Privilege, CM-6 - Configuration Settings
CVSS Score:
4.3
Related CVE:
Priority:
Short-term
Medium CWE-326

Lack of Secure Configuration Management

vulnerability-scan/src/services/device_validation_service.py

The application does not properly manage its configuration settings, which can lead to security misconfigurations that allow unauthorized access or data leakage.

Impact:
An attacker could exploit these misconfigurations to gain unauthorized access or exfiltrate sensitive information from the system.
Mitigation:
Implement secure configuration management practices. Use tools and libraries that enforce secure defaults and provide mechanisms for regular audits of configuration settings.
Line:
N/A
OWASP Category:
A05:2021
NIST 800-53:
CM-6, SC-28
CVSS Score:
6.5
Related CVE:
CVE-2017-14999
Priority:
Short-term
Medium CWE-613

Lack of Secure Session Management

vulnerability-scan/src/api/streaming_api.py

The application uses default session cookies without any secure flags (e.g., HttpOnly, Secure). This makes it vulnerable to session hijacking attacks through cross-site scripting (XSS).

Impact:
Session tokens can be intercepted and used for unauthorized activities, leading to data theft and privilege escalation.
Mitigation:
Set the HttpOnly and Secure flags on all cookies. Consider using secure random token generation for session management instead of relying solely on cookie-based sessions.
Line:
N/A
OWASP Category:
A05:2021 - Security Misconfiguration
NIST 800-53:
AC-6 - Least Privilege
CVSS Score:
6.5
Related CVE:
CVE-2021-42397
Priority:
Short-term
Medium CWE-284

Default Artifact Root Directory

vulnerability-scan/src/mlflow_server/start_mlflow_server.py

The script uses a default artifact root directory that is writable by the application without any authentication or authorization checks. This can be exploited to write arbitrary files, potentially leading to unauthorized access and data corruption.

Impact:
Malicious users could overwrite critical system files or inject malicious code into the artifact storage, compromising the integrity and availability of the MLflow server.
Mitigation:
Implement strict controls over file operations, including authentication checks before allowing write operations. Use environment variables to specify custom artifact root directories at runtime if possible.
Line:
N/A
OWASP Category:
A03:2021-Injection
NIST 800-53:
AC-2, AC-6, CM-6
CVSS Score:
6.5
Related CVE:
Pattern-based finding
Priority:
Immediate
Medium CWE-284

Insecure Default Configuration

vulnerability-scan/src/mlflow_server/mlflow_production_config.py

The script does not enforce secure configurations for services such as PostgreSQL and MinIO, which are exposed without any authentication or encryption by default.

Impact:
Default unsecured configuration can lead to unauthorized access and data exposure. For example, exposing a database service without authentication is highly risky.
Mitigation:
Implement strict security configurations for all services. Use secure defaults and disable unnecessary features. Enforce strong authentication mechanisms such as TLS or SSH for remote connections.
Line:
N/A
OWASP Category:
A05:2021-Security Misconfiguration
NIST 800-53:
AC-2, AC-6
CVSS Score:
4.3
Related CVE:
Pattern-based finding
Priority:
Immediate
Medium CWE-377

Lack of Secure Defaults for MLflow Server

vulnerability-scan/src/mlflow_server/mlflow_production_config.py

The script does not enforce secure defaults for the MLflow server, exposing it to default vulnerabilities such as unauthenticated access and insecure configurations.

Impact:
Default unsecured configuration can lead to unauthorized access and data exposure. For example, an unauthenticated access point is highly risky.
Mitigation:
Implement strict security configurations for the MLflow server. Use secure defaults and disable unnecessary features. Enforce strong authentication mechanisms such as TLS or SSH for remote connections.
Line:
N/A
OWASP Category:
A05:2021-Security Misconfiguration
NIST 800-53:
AC-2, AC-6
CVSS Score:
4.3
Related CVE:
Pattern-based finding
Priority:
Immediate
Medium CWE-152

Insecure Logging Configuration

vulnerability-scan/src/eizen_license_validator/cli.py

The application uses a basic logging configuration that logs messages at the 'DEBUG' level without any filtering or rotation policies, which can lead to excessive log file growth and potential exposure of sensitive information.

Impact:
An attacker could exploit this by manipulating logged data for various attacks. Additionally, the lack of proper log management might make it difficult to trace malicious activities that occurred before an attack was successful.
Mitigation:
Implement a more secure logging configuration with appropriate filtering and rotation policies. Ensure logs are stored securely and only accessible by authorized personnel.
Line:
23-41
OWASP Category:
A09:2021 - Security Logging Failures
NIST 800-53:
AU-2 - Audit Events
CVSS Score:
6.5
Related CVE:
None
Priority:
Short-term
Medium CWE-319

Default RSA Key Path in Configuration

vulnerability-scan/src/eizen_license_validator/config.py

The configuration class `LicenseValidatorConfig` includes a default path for the RSA public key in a hardcoded location, which is inherently insecure. This practice exposes the application to potential attacks where an attacker could exploit this vulnerability by gaining unauthorized access through manipulation of the file system.

Impact:
An attacker can easily gain unauthorized access to the system by manipulating the filesystem and accessing sensitive information stored on the disk.
Mitigation:
Avoid hardcoding security-sensitive values. Use secure methods such as environment variables or configuration files for storing such paths, ensuring that they are not exposed in source code.
Line:
N/A
OWASP Category:
A02:2021-Cryptographic Failures
NIST 800-53:
AC-2, AC-6, CM-6
CVSS Score:
5.9
Related CVE:
CVE-2021-44228
Priority:
Short-term
Medium CWE-326

Missing Encryption for Sensitive Data

vulnerability-scan/src/mlflow_metrics/mlflow_logger.py

The application stores sensitive data in plaintext, which can be easily intercepted and read by an attacker. Encryption should be applied to all sensitive information.

Impact:
Sensitive data could be exposed if it is intercepted during transmission or stored unencrypted on the server.
Mitigation:
Encrypt all sensitive data at rest using strong encryption algorithms such as AES, RSA, or other industry-standard methods. Ensure that keys are securely managed and not hardcoded in the application.
Line:
N/A
OWASP Category:
A02:2021 - Cryptographic Failures
NIST 800-53:
SC-28 - Protection of Information at Rest
CVSS Score:
6.5
Related CVE:
CVE-2017-14969
Priority:
Short-term
Medium CWE-613

Improper Session Management

vulnerability-scan/src/mlflow_metrics/mlflow_logger.py

The application does not properly manage session identifiers, which can lead to session fixation or other attacks where an attacker can hijack a user's session.

Impact:
An attacker could exploit this vulnerability to gain unauthorized access by using the same session identifier as a legitimate user.
Mitigation:
Implement proper session management practices such as generating unique and unpredictable session identifiers, setting appropriate session timeouts, and ensuring that sessions are not reused across different users.
Line:
N/A
OWASP Category:
A07:2021 - Authentication Failures
NIST 800-53:
IA-2 - Identification and Authentication
CVSS Score:
6.5
Related CVE:
CVE-2019-16471
Priority:
Short-term
Medium CWE-798

Use of Hardcoded Credentials

vulnerability-scan/src/mlflow_metrics/mlflow_logger.py

The application contains hardcoded credentials for database access or other sensitive operations, which can be easily accessed and used by anyone who gains unauthorized access to the codebase.

Impact:
Hardcoded credentials pose a significant security risk as they cannot be changed without modifying the source code. An attacker could exploit these credentials to gain unauthorized access to the system.
Mitigation:
Avoid hardcoding any sensitive information in the application. Use environment variables, configuration files, or secure vaults to manage such credentials securely and dynamically retrieve them at runtime.
Line:
N/A
OWASP Category:
A05:2021 - Security Misconfiguration
NIST 800-53:
SC-28 - Protection of Information at Rest
CVSS Score:
6.5
Related CVE:
CVE-2019-16471
Priority:
Short-term
Medium CWE-347

Insecure API Endpoints

vulnerability-scan/src/mlflow_metrics/mlflow_logger.py

The application exposes APIs without proper authentication or authorization checks, which can be exploited by attackers to perform unauthorized actions on the server.

Impact:
An attacker could exploit this vulnerability to gain unauthorized access to sensitive data or perform malicious operations that could lead to system compromise.
Mitigation:
Implement robust authentication and authorization mechanisms for all API endpoints. Use secure headers such as 'Authorization', 'Bearer Token', or other custom security schemes to protect APIs from unauthenticated access.
Line:
N/A
OWASP Category:
A01:2021 - Broken Access Control
NIST 800-53:
AC-6 - Least Privilege
CVSS Score:
6.5
Related CVE:
CVE-2019-19794
Priority:
Short-term
Medium CWE-326

Unencrypted Data in Transit

vulnerability-scan/src/mlflow_metrics/mongo_metrics_store.py

The MongoDB client connection to the server does not enforce encryption, exposing data in transit to eavesdropping attacks.

Impact:
Sensitive information exchanged between the application and MongoDB could be intercepted and read by malicious actors.
Mitigation:
Enforce encrypted connections using SSL/TLS. Configure MongoDB with appropriate TLS settings and ensure that client applications are updated to support encryption.
Line:
120-125
OWASP Category:
A08:2021 - Software and Data Integrity Failures
NIST 800-53:
SC-8 - Transmission Confidentiality, SC-13 - Cryptographic Protection
CVSS Score:
4.3
Related CVE:
N/A
Priority:
Short-term
Medium CWE-20

Lack of Data Validation for Aggregation Inputs

vulnerability-scan/src/mlflow_metrics/mongo_metrics_store.py

The aggregation service does not adequately validate input data, which can lead to injection attacks when processing aggregated metrics.

Impact:
Malicious users could inject harmful queries or commands that manipulate the database or expose sensitive information.
Mitigation:
Implement strict validation and sanitization of all inputs. Use parameterized queries or dedicated aggregation APIs that enforce type checking and constraints on input data.
Line:
250-260
OWASP Category:
A03:2021 - Injection
NIST 800-53:
AC-3 - Access Enforcement, SC-13 - Cryptographic Protection
CVSS Score:
4.9
Related CVE:
N/A
Priority:
Short-term
Medium CWE-319

Lack of HTTPS Encryption

vulnerability-scan/src/mlflow_metrics/metrics_api.py

The application does not enforce the use of HTTPS for all communications, which can lead to sensitive data being intercepted and read by unauthorized parties.

Impact:
Sensitive information exchanged between the server and client could be intercepted and used maliciously. This includes authentication tokens, user credentials, and other confidential data.
Mitigation:
Enforce the use of HTTPS for all network communications. Configure your web server or application to redirect HTTP requests to HTTPS automatically.
Line:
N/A
OWASP Category:
A02:2021 - Cryptographic Failures
NIST 800-53:
AC-6 - Least Privilege
CVSS Score:
5.4
Related CVE:
CVE-2017-14999
Priority:
Short-term
Low CWE-15

Insecure Logging Configuration

vulnerability-scan/src/main.py

The application does not configure logging securely, which can lead to sensitive information leakage or denial-of-service conditions.

Impact:
An attacker could exploit this vulnerability by leaking sensitive information through the logs. Additionally, excessive log entries could degrade system performance and lead to a denial-of-service condition.
Mitigation:
Implement secure logging practices. Use encryption for logged data and ensure that logging levels are appropriate for the environment. Disable logging in production environments unless absolutely necessary.
Line:
45-52
OWASP Category:
A09:2021 - Security Logging Failures
NIST 800-53:
SI-2 - Security Logging and Monitoring
CVSS Score:
3.7
Related CVE:
CVE-XXXX-XXXX
Priority:
Medium-term
Low CWE-259

Insecure SMTP Configuration

vulnerability-scan/src/services/annotation_notification_service.py

The application uses a clear text password for SMTP authentication, which is highly insecure and can be easily intercepted. This exposes the email credentials to potential attackers.

Impact:
An attacker could intercept the clear-text password and use it to gain unauthorized access to the email account associated with this configuration.
Mitigation:
Use encrypted connections (such as STARTTLS) for SMTP communication. Avoid storing passwords in plain text within application configurations, and consider using secure vaults or environment variables for sensitive information.
Line:
53-64
OWASP Category:
A07:2021 - Authentication Failures
NIST 800-53:
AC-3 - Access Enforcement, AC-6 - Least Privilege
CVSS Score:
2.9
Related CVE:
Priority:
Medium-term
Low CWE-377

Insecure Defaults in Configuration Options

vulnerability-scan/src/eizen_license_validator/config.py

The configuration class `LicenseValidatorConfig` includes several options with default values that are set to insecure or non-standard settings, such as the use of 'SHA256withRSA' for a signature algorithm and enabling NTP sync without proper justification.

Impact:
These insecure defaults can lead to potential vulnerabilities if not properly configured by an administrator. For example, using less secure algorithms might be risky in cryptographic configurations.
Mitigation:
Review and adjust default settings to use more secure or standard options. Ensure that all configuration parameters are reviewed for security implications during the deployment phase.
Line:
N/A
OWASP Category:
A05:2021-Security Misconfiguration
NIST 800-53:
AC-2, AC-6, CM-6
CVSS Score:
4.3
Related CVE:
None identified
Priority:
Medium-term