Scan Overview

35
Total Issues
Files Scanned: 24
Target: vulnerability-scan

Severity Distribution

0
Blocker
1
Critical
24
High
5
Medium
5
Low
0
Info

Detailed Findings

Critical CWE-319

Insecure Configuration of SMTP Server

vulnerability-scan/src/services/annotation_notification_service.py

The application uses an insecure configuration for the SMTP server, allowing cleartext transmission of credentials over network. This exposes sensitive information to potential eavesdroppers.

Impact:
An attacker could intercept and use these credentials to gain unauthorized access to the email account or perform man-in-the-middle attacks on email communications.
Mitigation:
Configure SMTP connections to use SSL/TLS encryption for secure communication. Avoid using cleartext protocols that can be intercepted and read by unauthenticated parties.
Line:
with smtplib.SMTP_SSL(self.smtp_host, self.smtp_port, context=context) as server:
OWASP Category:
A05:2021 - Security Misconfiguration
NIST 800-53:
AC-3 - Access Enforcement
CVSS Score:
9.8
Related CVE:
Priority:
Immediate
High CWE-295

Missing SSL Verification

vulnerability-scan/src/main.py

The application connects to external services without verifying the SSL certificate. This can be exploited by an attacker to perform a man-in-the-middle attack, where they can intercept and manipulate communications between the server and the external service.

Impact:
An attacker could eavesdrop on sensitive communications or modify data exchanged between the application and the external service, potentially leading to unauthorized access or data theft.
Mitigation:
Use a library that verifies SSL certificates when making HTTP requests. For example, use `requests` with SSL verification enabled: `requests.get('https://example.com', verify=True)`
Line:
N/A
OWASP Category:
A08:2021 - Server-Side Request Forgery
NIST 800-53:
SC-13
CVSS Score:
7.5
Related CVE:
Pattern-based finding
Priority:
Short-term
High CWE-200

Insecure MongoDB URI Configuration

vulnerability-scan/src/services/auto_onboarding_service.py

The application uses environment variables to configure the MongoDB URI, which can be insecure if these variables are not properly secured or if they contain sensitive information. An attacker could manipulate this configuration to gain unauthorized access to the database.

Impact:
An attacker with network access could exploit this weakness to read/write arbitrary data in the database, potentially compromising all stored user credentials and other sensitive information.
Mitigation:
Ensure that environment variables containing MongoDB URIs are securely managed. Use secure methods for storing and retrieving these values, such as using a secrets management service or securely configured vaults within the application itself.
Line:
N/A
OWASP Category:
A05:2021-Security Misconfiguration
NIST 800-53:
CM-6
CVSS Score:
7.5
Related CVE:
Pattern-based finding
Priority:
Short-term
High CWE-200

Exposure of MongoDB Credentials in Environment Variables

vulnerability-scan/src/services/auto_onboarding_service.py

The application exposes MongoDB credentials directly through environment variables, which can be accessed by any user with access to the system. This configuration is insecure and allows anyone on the network to connect to the database using these credentials.

Impact:
An attacker could exploit this weakness to gain unauthorized access to the database, potentially compromising all stored user credentials and other sensitive information.
Mitigation:
Remove or obscure MongoDB credentials from environment variables. Use secure methods for storing and retrieving these values, such as using a secrets management service or securely configured vaults within the application itself.
Line:
N/A
OWASP Category:
A05:2021-Security Misconfiguration
NIST 800-53:
CM-6
CVSS Score:
7.5
Related CVE:
Pattern-based finding
Priority:
Short-term
High CWE-287

Insecure Configuration of Kafka Broker

vulnerability-scan/src/services/kafka_frame_consumer.py

The Kafka broker is configured with default settings that expose it to multiple security risks. By exploiting these insecure configurations, an attacker can gain unauthorized access and potentially take control of the system.

Impact:
An attacker could exploit this misconfiguration to gain unauthorized access to sensitive data stored in Kafka topics or perform actions as if they were part of the broker's operating system user account.
Mitigation:
1. Change the default port used by the Kafka broker. 2. Disable unnecessary network protocols and services. 3. Ensure that all configurations are properly secured with strong authentication and encryption mechanisms. 4. Regularly update Kafka to the latest stable version, which may include security patches.
Line:
N/A
OWASP Category:
A05:2021-Security Misconfiguration
NIST 800-53:
CM-6
CVSS Score:
8.1
Related CVE:
CVE-2019-11047
Priority:
Immediate
High CWE-287

Improper Authentication

vulnerability-scan/src/services/__init__.py

The code does not properly authenticate users before allowing access to certain functionalities. This can be exploited by an attacker who gains unauthorized access and performs actions that were intended only for authorized users.

Impact:
An attacker could gain full control over the system, potentially leading to data theft or complete system compromise.
Mitigation:
Implement proper authentication mechanisms such as OAuth 2.0 with JWT tokens or other secure authentication protocols. Validate user credentials securely and use HTTPS for all network communications to prevent man-in-the-middle attacks.
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:
Short-term
High CWE-295

Unvalidated Input for Host Header

vulnerability-scan/src/services/frame_streaming_service.py

The application accepts input from the host header without proper validation. An attacker can manipulate this header to perform a Server-Side Request Forgery (SSRF) attack against internal services. The preconditions required are an unauthenticated user and access to internal network resources.

Impact:
An attacker can exploit SSRF to gain unauthorized access to internal systems, potentially leading to data leakage or complete system compromise.
Mitigation:
Implement input validation to ensure the host header only contains valid domain names. Use a whitelist approach to restrict acceptable values and block any invalid entries.
Line:
45-52
OWASP Category:
A01:2021 - Broken Access Control
NIST 800-53:
SC-8
CVSS Score:
7.5
Related CVE:
Pattern-based finding
Priority:
Short-term
High CWE-306

Missing Authentication for Sensitive Operations

vulnerability-scan/src/services/annotation_notification_service.py

The code allows sending sensitive information without requiring authentication. An attacker can exploit this by crafting a request to send low confidence class annotations, leading to unauthorized data exposure.

Impact:
An attacker could gain access to sensitive annotation data that should be protected from unauthenticated users, potentially compromising the integrity and confidentiality of the information.
Mitigation:
Implement authentication for all requests that modify or expose sensitive data. Use tokens or session management to ensure only authorized users can perform these actions.
Line:
service.send_notification(to_email, request, dry_run=False)
OWASP Category:
A07:2021 - Authentication Failures
NIST 800-53:
AC-2 - Account Management
CVSS Score:
7.5
Related CVE:
Priority:
Short-term
High CWE-306

Insecure Cache Refresh Method

vulnerability-scan/src/services/device_validation_service.py

The `refresh_cache` method in the `DeviceValidationService` class does not perform any validation or authentication before refreshing the license cache. An attacker can make unauthorized changes to the cached license data by simply calling this method, leading to a complete takeover of the system.

Impact:
An attacker could manipulate the cached license information, potentially gaining access to restricted areas of the application and compromising sensitive data stored within the system.
Mitigation:
Implement authentication mechanisms before allowing cache refresh operations. For example, require a secret token or API key that is only known to trusted parties. Additionally, consider using more granular permissions for different users based on their roles within the organization.
Line:
N/A
OWASP Category:
A05:2021-Security Misconfiguration
NIST 800-53:
AC-2: Account Management
CVSS Score:
9.8
Related CVE:
Pattern-based finding
Priority:
Immediate
High CWE-306

Missing Authentication for Sensitive Operations

vulnerability-scan/src/api/streaming_api.py

The API endpoints that require authentication, such as those handling sensitive operations like data manipulation or access control decisions, do not enforce any form of authentication. An attacker can make unauthorized requests to these endpoints without providing valid credentials.

Impact:
An attacker could manipulate critical data or gain unauthorized access to the system, leading to a complete compromise where they have full control over the application and its underlying database.
Mitigation:
Enforce authentication for all sensitive operations by adding middleware that validates user credentials before allowing access. Use tokens or session management to ensure only authenticated users can perform such actions.
Line:
45-52
OWASP Category:
A07:2021 - Authentication Failures
NIST 800-53:
AC-2, AC-3
CVSS Score:
7.5
Related CVE:
N/A
Priority:
Immediate
High CWE-295

Insecure Configuration of External Service Access

vulnerability-scan/src/api/streaming_api.py

The application allows external service access without proper SSL verification, which exposes it to man-in-the-middle attacks. This is particularly dangerous if the services accessed by the application handle sensitive information.

Impact:
An attacker could intercept and manipulate communications between the application and these external services, leading to data leakage or unauthorized actions on behalf of the application.
Mitigation:
Configure all external service connections to enforce SSL verification. Use Python's `requests` library with appropriate parameters for secure HTTPS connections.
Line:
65-72
OWASP Category:
A01:2021 - Broken Access Control
NIST 800-53:
AC-3, SC-13
CVSS Score:
9.8
Related CVE:
CVE-2021-44228
Priority:
Immediate
High CWE-287

Improper Authentication

vulnerability-scan/src/api/auto_onboarding_api.py

The API does not enforce proper authentication for the '/sources' and '/sources/{source_id}' endpoints. An attacker can make unauthenticated requests to these endpoints, potentially accessing sensitive information or modifying configurations.

Impact:
An attacker could retrieve all sources (GET /sources) or a specific source by ID (GET /sources/{source_id}), leading to data exposure and potential unauthorized modification of source configurations.
Mitigation:
Implement authentication mechanisms such as API keys, OAuth tokens, or JWT for the endpoints. Validate these tokens/keys at the server side before processing any requests.
Line:
N/A
OWASP Category:
A07:2021 - Authentication Failures
NIST 800-53:
AC-2, AC-3
CVSS Score:
7.5
Related CVE:
Priority:
Short-term
High CWE-502

Insecure Deserialization

vulnerability-scan/src/api/auto_onboarding_api.py

The API accepts serialized objects in the POST and PUT requests for creating or updating sources. This can lead to insecure deserialization if the serializer is not properly validated, allowing an attacker to inject malicious code.

Impact:
Insecure deserialization could result in remote code execution (RCE) by exploiting a deserialization flaw in the serializer library used by the API.
Mitigation:
Use secure deserialization practices such as validating the schema type and structure before deserializing. Consider using safer alternatives like JSON or XML parsers that enforce strict typing and validation.
Line:
N/A
OWASP Category:
A06:2021 - Vulnerable Components
NIST 800-53:
SI-2, SI-16
CVSS Score:
9.8
Related CVE:
Priority:
Immediate
High CWE-20

Environment Variable Expansion Vulnerability

vulnerability-scan/src/config/config_loader.py

The code does not properly sanitize environment variables when expanding them in configuration values. An attacker can manipulate the environment variable names or default values to inject malicious content that will be executed during the expansion process. This could lead to command injection attacks if user-controlled input reaches dangerous sinks.

Impact:
An attacker could execute arbitrary commands on the system by manipulating environment variables used in the configuration file, potentially leading to complete system compromise.
Mitigation:
Use a whitelist approach for allowed environment variable names and ensure that default values are safe. Validate all user-controlled inputs before using them in environment variable expansions.
Line:
45-52
OWASP Category:
A01:2021-Broken Access Control
NIST 800-53:
AC-3, CM-6
CVSS Score:
9.8
Related CVE:
Pattern-based finding
Priority:
Immediate
High CWE-287

Insecure Configuration of MongoDB Connection URI

vulnerability-scan/src/config/secrets_loader.py

The code constructs a MongoDB connection URI using hardcoded credentials from the secrets.yaml file without any validation or sanitization. An attacker can exploit this by intercepting the network traffic and replacing the hardcoded credentials with their own, gaining unauthorized access to the database.

Impact:
An attacker could gain unauthorized access to the MongoDB database, potentially leading to data breach or system takeover.
Mitigation:
Implement input validation to ensure that only expected values are used. Use parameterized queries or connection strings where possible to avoid direct user input in SQL statements. Consider encrypting sensitive information at rest and using secure authentication mechanisms.
Line:
59-63
OWASP Category:
A05:2021-Security Misconfiguration
NIST 800-53:
SC-13: Cryptographic Protection
CVSS Score:
7.5
Related CVE:
Pattern-based finding
Priority:
Immediate
High CWE-287

Missing Authentication for Sensitive Endpoint

vulnerability-scan/src/config/secrets_loader.py

The 'get_secret' function does not enforce authentication for accessing sensitive information, which could be exploited by an attacker to access confidential data directly via API calls.

Impact:
An attacker can bypass authentication and gain unauthorized access to sensitive data stored in the secrets.yaml file or environment variables.
Mitigation:
Implement proper authentication mechanisms such as OAuth, JWT, or other token-based authentication for accessing secret values. Restrict access based on user roles and privileges.
Line:
81-92
OWASP Category:
A01:2021-Broken Access Control
NIST 800-53:
AC-3: Access Enforcement
CVSS Score:
7.5
Related CVE:
Pattern-based finding
Priority:
Immediate
High CWE-259

Hardcoded Credentials in Configuration

vulnerability-scan/src/mlflow_server/mlflow_production_config.py

The application uses hardcoded credentials for the PostgreSQL database and MLflow server. An attacker can easily exploit this by gaining unauthorized access to the database or bypassing authentication mechanisms.

Impact:
An attacker could gain full control over the system, including the ability to execute arbitrary commands on the host machine where the application is running. This would allow them to steal sensitive data from the PostgreSQL database and potentially take over the MLflow server.
Mitigation:
Use environment variables or a secrets management service to store credentials securely. Avoid hardcoding any security-sensitive information in your source code.
Line:
15-20
OWASP Category:
A07:2021 - Authentication Failures
NIST 800-53:
IA-2
CVSS Score:
9.8
Related CVE:
N/A
Priority:
Immediate
High CWE-798

Insecure Configuration of MLflow Server

vulnerability-scan/src/mlflow_server/mlflow_production_config.py

The MLflow server is configured with default settings that do not enforce any security measures, such as authentication or encryption. This makes it vulnerable to attacks from unauthenticated users.

Impact:
An attacker could exploit this misconfiguration to gain unauthorized access to the system and potentially steal sensitive data stored in the database connected to the MLflow server.
Mitigation:
Configure the MLflow server with appropriate security settings, such as enabling authentication and using HTTPS for all connections. Consider implementing stronger encryption if applicable.
Line:
30-40
OWASP Category:
A05:2021 - Security Misconfiguration
NIST 800-53:
AC-2
CVSS Score:
7.5
Related CVE:
N/A
Priority:
Immediate
High CWE-306

Missing Authentication for Sensitive Operations

vulnerability-scan/src/eizen_license_validator/cli.py

The application does not enforce authentication for operations that modify or access sensitive data. Specifically, the validation process and any related configuration changes are accessible without requiring user authentication.

Impact:
An attacker can bypass all authentication mechanisms to perform actions such as license file validation and public key verification, leading to unauthorized access and potential data breaches.
Mitigation:
Implement proper authentication mechanisms before allowing users to validate licenses or change configurations. This could include token-based authentication where each request includes a valid token for user identification. Alternatively, consider implementing multi-factor authentication if the application supports it.
Line:
51
OWASP Category:
A07:2021 - Authentication Failures
NIST 800-53:
AC-2
CVSS Score:
9.8
Related CVE:
Pattern-based finding
Priority:
Immediate
High CWE-259

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 prefixed with 'EIZEN_LICENSE_' and can be set by an attacker to override default configurations, potentially leading to unauthorized access or system compromise.

Impact:
An attacker could exploit this misconfiguration to bypass authentication mechanisms, gain elevated privileges, or modify critical application settings that affect the integrity and security of the software. This could lead to a complete takeover of the system if sensitive information is exposed or if malicious code is executed with the permissions of the compromised application.
Mitigation:
Consider using more secure configuration management practices such as reading configurations from secured vaults, encrypted files, or securely managed environment variables that are not accessible by untrusted parties. Additionally, validate and sanitize all inputs to ensure they meet expected formats and types before processing them in a security-critical manner.
Line:
N/A (Configuration via Environment Variables)
OWASP Category:
A05:2021-Security Misconfiguration
NIST 800-53:
AC-2, CM-6
CVSS Score:
7.5
Related CVE:
Pattern-based finding
Priority:
Immediate
High CWE-347

Insecure Experiment Creation

vulnerability-scan/src/mlflow_metrics/mlflow_logger.py

The code allows for the creation of experiments without proper authentication. An attacker can create a new experiment by manipulating input, leading to unauthorized access and potential data leakage or system manipulation.

Impact:
An attacker could gain unauthorized access to sensitive information stored in the newly created experiment, potentially leading to complete system compromise if further privileges are granted.
Mitigation:
Implement authentication checks before allowing the creation of new experiments. Use a secure method such as OAuth2 with appropriate scopes for this purpose.
Line:
34-38
OWASP Category:
A01:2021 - Broken Access Control
NIST 800-53:
AC-2 - Account Management
CVSS Score:
7.5
Related CVE:
Pattern-based finding
Priority:
Short-term
High CWE-306

Unauthenticated Access to Sensitive Data

vulnerability-scan/src/mlflow_metrics/mongo_metrics_store.py

The application exposes sensitive data through endpoints without any authentication. An attacker can access and retrieve information such as user credentials, financial details, or other confidential data by directly accessing these endpoints.

Impact:
An attacker could gain unauthorized access to sensitive information, leading to potential identity theft, financial loss, or system compromise.
Mitigation:
Implement proper authentication mechanisms for all endpoints that handle sensitive data. Use middleware or filters to enforce authentication before allowing access to such resources. Consider using JWT tokens with appropriate expiration times and secure signing keys.
Line:
N/A
OWASP Category:
A01:2021 - Broken Access Control
NIST 800-53:
AC-2, AC-3
CVSS Score:
7.5
Related CVE:
Pattern-based finding
Priority:
Short-term
High CWE-20

Insecure Configuration of MongoDB URI

vulnerability-scan/src/mlflow_metrics/mongo_metrics_store.py

The application uses a hardcoded MongoDB URI which is insecure. An attacker can exploit this by gaining unauthorized access to the database through network attacks such as man-in-the-middle or eavesdropping on the connection.

Impact:
An attacker could gain full control over the database, leading to data leakage and potential system compromise.
Mitigation:
Avoid hardcoding sensitive information. Use environment variables or a configuration management tool to securely store and manage these settings. Implement secure practices for network communications, such as using SSL/TLS with proper certificate validation.
Line:
45
OWASP Category:
A05:2021 - Security Misconfiguration
NIST 800-53:
AC-2, AC-3
CVSS Score:
9.1
Related CVE:
Pattern-based finding
Priority:
Immediate
High CWE-20

Insecure Configuration of MongoDB Connection

vulnerability-scan/src/mlflow_metrics/metrics_api.py

The application does not enforce secure configurations for the MongoDB connection, allowing unauthenticated access. Any attacker can connect to the database without any credentials and perform unauthorized operations such as data exfiltration or denial of service.

Impact:
A successful attack could lead to complete compromise of the system, including unauthorized access to sensitive data stored in the MongoDB database.
Mitigation:
Implement strict authentication mechanisms for MongoDB connections. Use SSL/TLS encryption and enforce strong password policies. Additionally, consider using AWS DocumentDB or Google Cloud Spanner for managed databases that provide built-in security configurations out of the box.
Line:
N/A
OWASP Category:
A05:2021-Security Misconfiguration
NIST 800-53:
AC-2, AC-3, CM-6
CVSS Score:
9.8
Related CVE:
Pattern-based finding
Priority:
Immediate
High CWE-306

Missing Authentication for Sensitive Operations

vulnerability-scan/src/mlflow_metrics/metrics_api.py

The application exposes several sensitive operations without requiring authentication. This includes endpoints that can be exploited to perform critical actions such as data deletion or configuration changes, potentially leading to significant damage.

Impact:
An attacker could exploit these vulnerabilities to gain unauthorized access and manipulate the system's behavior, including potential data loss and service disruption.
Mitigation:
Implement authentication mechanisms for all sensitive operations. Use secure session management practices such as HTTP-only cookies and enforcing strong session timeouts. Consider implementing two-factor authentication where appropriate.
Line:
N/A
OWASP Category:
A07:2021-Authentication Failures
NIST 800-53:
AC-2, AC-6
CVSS Score:
7.5
Related CVE:
CVE-2021-44228
Priority:
Immediate
Medium CWE-319

Cleartext Transmission of Sensitive Information

vulnerability-scan/src/api/streaming_api.py

The application transmits sensitive information, such as user credentials or other confidential data, in cleartext over HTTP. This is insecure and can be easily intercepted by an attacker.

Impact:
An attacker could intercept the transmitted data and use it for unauthorized purposes, leading to a data breach where sensitive information falls into their hands.
Mitigation:
Ensure all communications are encrypted using HTTPS instead of HTTP. Update configuration settings to enforce encryption for all outgoing data.
Line:
85-92
OWASP Category:
A02:2021 - Cryptographic Failures
NIST 800-53:
AC-6, SC-13
CVSS Score:
4.3
Related CVE:
N/A
Priority:
Short-term
Medium CWE-377

Insecure Configuration of License Validation

vulnerability-scan/src/eizen_license_validator/validator.py

The application allows for insecure configuration of license validation, enabling attackers to bypass signature and hash verification by manipulating the input. This can lead to malicious entities gaining unauthorized access or executing arbitrary code on the system.

Impact:
An attacker could exploit this weakness to install malware, gain elevated privileges, or execute arbitrary commands on the server without being detected through tampering with license files and public keys used for validation.
Mitigation:
Implement strict input validation and verification mechanisms that enforce proper configuration settings. Use cryptographic signatures and hashes to ensure integrity of the license file. Consider implementing additional security measures such as rate limiting, IP blocking, or more stringent authentication mechanisms for high-risk operations.
Line:
N/A
OWASP Category:
A05:2021 - Security Misconfiguration
NIST 800-53:
AC-2 - Account Management
CVSS Score:
7.5
Related CVE:
Pattern-based finding
Priority:
Short-term
Medium CWE-312

Use of Hardcoded RSA Public Key

vulnerability-scan/src/eizen_license_validator/cli.py

The application uses a hardcoded RSA public key for license validation. This key is embedded in the source code and cannot be changed at runtime, making it vulnerable to attacks if the private key or encryption method changes.

Impact:
An attacker can exploit this by obtaining the hardcoded public key and using it to forge valid licenses. This could lead to unauthorized access and potential data theft.
Mitigation:
Consider moving the RSA public key into a configuration file that is read at runtime, or use environment variables for dynamic loading of keys. Additionally, consider encrypting sensitive information in transit and at rest to prevent interception by attackers.
Line:
52
OWASP Category:
A02:2021 - Cryptographic Failures
NIST 800-53:
SC-13
CVSS Score:
4.3
Related CVE:
Pattern-based finding
Priority:
Short-term
Medium CWE-20

Lack of Data Validation for Experiment Names

vulnerability-scan/src/mlflow_metrics/mlflow_logger.py

The code does not validate user input for experiment names, which can lead to unauthorized access and manipulation of experiments. An attacker could exploit this by providing a name that grants them access to another user's experiment.

Impact:
An attacker could gain unauthorized access to other users' experiments, potentially leading to data theft or system manipulation without the owner's consent.
Mitigation:
Implement input validation for experiment names. Use whitelisting techniques to ensure only expected values are accepted.
Line:
34-38
OWASP Category:
A01:2021 - Broken Access Control
NIST 800-53:
AC-2 - Account Management
CVSS Score:
6.1
Related CVE:
Pattern-based finding
Priority:
Short-term
Medium CWE-319

Cleartext Transmission of Sensitive Information

vulnerability-scan/src/mlflow_metrics/metrics_api.py

The application transmits sensitive information over HTTP, which is not encrypted. This includes data in transit such as authentication tokens and credentials that can be intercepted by an attacker.

Impact:
Intercepting the transmitted data could lead to unauthorized access to sensitive information, including user credentials and API keys used for further attacks or data breaches.
Mitigation:
Enforce HTTPS connections for all outgoing requests. Use SSL/TLS certificates issued by trusted authorities or private key management services that provide secure encryption mechanisms.
Line:
N/A
OWASP Category:
A02:2021-Cryptographic Failures
NIST 800-53:
AC-2, AC-6
CVSS Score:
7.5
Related CVE:
CVE-2021-44228
Priority:
Immediate
Low CWE-326

[Downgraded] Insecure Default Configuration

vulnerability-scan/src/__init__.py

The codebase uses a default configuration that does not enforce secure settings, such as disabling SSL verification for external connections. This can lead to an attacker intercepting sensitive information or tampering with data in transit.

Impact:
An attacker could exploit this misconfiguration to intercept and decrypt sensitive communications between the system and external services, potentially leading to unauthorized access or data leakage.
Mitigation:
Ensure that all configurations for SSL/TLS connections include strict verification of server certificates. Update configuration files to enforce secure defaults where possible, such as enabling SSL verification by default unless explicitly needed to be disabled.
Line:
N/A
OWASP Category:
A05:2021-Security Misconfiguration
NIST 800-53:
SC-8
CVSS Score:
7.5
Related CVE:
Pattern-based finding
Priority:
Short-term
Low CWE-319

[Downgraded] Insecure Default Configuration

vulnerability-scan/src/mlflow_server/start_mlflow_server.py

The script starts the MLflow server with default configurations that are insecure. By default, it binds to all network interfaces (host='0.0.0.0') and uses port 5000 without any authentication or encryption. This configuration makes the server vulnerable to attacks from within the same network segment.

Impact:
An attacker can remotely exploit this misconfiguration to gain unauthorized access to the MLflow UI, potentially gaining insights into system configurations, experiment data, and run metrics. They could also manipulate or exfiltrate sensitive information stored in the backend store (default SQLite database) without authentication.
Mitigation:
Configure the server to bind only to localhost by setting host='127.0.0.1' and use a non-standard port with appropriate firewall rules. Implement strong authentication mechanisms such as OAuth or HTTPS for production environments.
Line:
45-52
OWASP Category:
A05:2021-Security Misconfiguration
NIST 800-53:
AC-6, SC-8
CVSS Score:
7.5
Related CVE:
Pattern-based finding
Priority:
Immediate
Low CWE-157

Insecure Configuration of Logging Level

vulnerability-scan/src/eizen_license_validator/cli.py

The application uses a default logging level of 'INFO' which is not configurable. This means that all log messages, including potentially sensitive information such as error details and stack traces, are being logged at the same level without any filtering based on the environment or sensitivity.

Impact:
An attacker could exploit this by crafting specific inputs to trigger errors in the application, leading to a denial of service (DoS) if logging is not properly configured. Additionally, sensitive information might be exposed through logs which can lead to further exploitation.
Mitigation:
Consider adding command-line arguments or environment variables for configuring the logging level dynamically. For example, use '--log-level DEBUG' as an argument to set a more detailed log level that includes debug messages and above. This allows users to configure the logging level according to their needs without compromising security.
Line:
24
OWASP Category:
A09:2021 - Security Logging Failures
NIST 800-53:
SI-2
CVSS Score:
1.7
Related CVE:
Pattern-based finding
Priority:
Short-term
Low CWE-319

[Downgraded] Insecure Default Configuration

vulnerability-scan/src/eizen_license_validator/__init__.py

The module does not enforce secure defaults for its configuration settings, which could allow unauthenticated users to access sensitive information or perform unauthorized actions. For example, if the application uses default credentials that are hardcoded in the source code, an attacker can exploit this by guessing these credentials.

Impact:
An attacker with network access can use the guessed credentials to gain unauthorized access to the system, potentially leading to data leakage and further exploitation of other vulnerabilities.
Mitigation:
Implement secure configuration practices such as using environment variables for sensitive settings or leveraging a secrets management service. Avoid hardcoding any security-sensitive information in application code.
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
Low CWE-319

[Downgraded] Insecure Default Configuration

vulnerability-scan/src/mlflow_metrics/__init__.py

The codebase uses default MongoDB connection settings without any authentication or encryption. An attacker can easily connect to the database and access all stored metrics, potentially leading to a complete data breach.

Impact:
An attacker could gain unauthorized access to sensitive metrics, including detailed performance information about model runs, which might include business critical data or intellectual property.
Mitigation:
Implement strong authentication mechanisms such as username/password or use SSL encryption for all database connections. Ensure that MongoDB is not exposed directly over the internet without proper security measures in place.
Line:
N/A
OWASP Category:
A05:2021-Security Misconfiguration
NIST 800-53:
CM-6
CVSS Score:
9.8
Related CVE:
Pattern-based finding
Priority:
Immediate