Scan Overview

24
Total Issues
Files Scanned: 15
Target: vulnerability-scan

Severity Distribution

0
Blocker
2
Critical
19
High
2
Medium
1
Low
0
Info

Detailed Findings

Critical CWE-259

Use of Hardcoded Credentials in Milvus Configuration

vulnerability-scan/config/constants.py

The application uses hardcoded credentials for the Milvus database in various environment variables. An attacker who gains access to the source code or can guess these values could directly authenticate to the Milvus instance without any additional steps.

Impact:
An attacker with access to the Milvus instance could gain full administrative control, leading to a complete data breach and potential system takeover.
Mitigation:
Remove hardcoded credentials from your source code. Use secure methods such as AWS Secrets Manager or HashiCorp Vault for managing sensitive information in environment variables.
Line:
13, 14, 15, 16
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
Critical CWE-295

Missing SSL Verification for External Connections

vulnerability-scan/src/security_config.py

The application does not verify SSL certificates when making external connections, which can be exploited by an attacker to perform man-in-the-middle attacks and gain unauthorized access.

Impact:
An attacker could exploit this vulnerability to intercept sensitive communications between the application and external services, leading to a significant data breach or system compromise.
Mitigation:
Ensure SSL certificate verification is enabled for all external connections. Use secure socket layers (SSL) with proper certificate pinning or validation mechanisms.
Line:
45-52
OWASP Category:
A03:2021-Injection
NIST 800-53:
AC-3, SC-8
CVSS Score:
9.1
Related CVE:
Pattern-based finding
Priority:
Immediate
High CWE-287

Insecure Configuration of Milvus Client

vulnerability-scan/main.py

The application initializes a Milvus client without proper authentication configuration. The Milvus client is configured with default settings, which allows unauthenticated access to the database.

Impact:
An attacker can exploit this misconfiguration to gain unauthorized access to the database, potentially leading to data theft or system compromise.
Mitigation:
Ensure that all external service connections require proper authentication. Update the Milvus client initialization code to include required credentials and secure settings. For example: `milvus_client = MilvusClient(host=MILVUS_HOST, port=MILVUS_PORT, user=MILVUS_USER, password=MILVUS_PASSWORD, collection_name=MILVUS_COLLECTION, dimension=MILVUS_DIMENSION, secure=True)`
Line:
45-52
OWASP Category:
A05:2021-Security Misconfiguration
NIST 800-53:
AC-3, CM-6
CVSS Score:
9.1
Related CVE:
Pattern-based finding
Priority:
Immediate
High CWE-327

Unprotected FaceAnalysis Model Load

vulnerability-scan/main.py

The application loads a machine learning model without any form of protection or authentication. This makes the model accessible to anyone who can interact with the service, potentially leading to unauthorized use.

Impact:
An attacker could exploit this misconfiguration by loading and using the FaceAnalysis model for malicious purposes, such as data theft or system manipulation.
Mitigation:
Implement a secure authentication mechanism before allowing access to the machine learning model. Use middleware or API keys to restrict access. For example: `if not request.headers.get('X-API-KEY') == 'valid_api_key': raise HTTPException(status_code=403, detail='Forbidden')`
Line:
54-61
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-327

Insecure Configuration of Video Processing

vulnerability-scan/api_routers/router_functions.py

The code does not properly configure the video processing parameters, allowing for potential unauthorized access. Specifically, the 'process_login_embeddings' function allows for login attempts without proper authentication checks, enabling an attacker to bypass security measures and gain unauthorized access.

Impact:
An attacker could exploit this misconfiguration to perform unauthorized actions such as accessing protected user data or system functionalities without permission, leading to a significant compromise of the system's integrity and confidentiality.
Mitigation:
Implement proper authentication mechanisms for all video processing endpoints. Ensure that any sensitive operations require appropriate authorization checks before execution. Consider implementing role-based access control (RBAC) to restrict access based on user roles or permissions.
Line:
45-52
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-287

Missing Authentication for S3 Access

vulnerability-scan/config/constants.py

The application retrieves AWS credentials (S3_ACCESS_KEY and S3_SECRET_KEY) from environment variables without any authentication or validation. An attacker who gains access to these credentials can directly interact with the S3 bucket, potentially leading to unauthorized data exposure, modification, or deletion.

Impact:
An attacker could gain full control over the S3 bucket, exposing sensitive information stored there and potentially causing significant damage by altering or deleting data.
Mitigation:
Implement a secure authentication mechanism such as AWS IAM roles for applications. Validate credentials upon retrieval to ensure they are legitimate. Consider using more stringent access controls within AWS itself.
Line:
42, 43
OWASP Category:
A07:2021 - Authentication Failures
NIST 800-53:
AC-6 - Least Privilege, IA-2 - Identification and Authentication
CVSS Score:
7.5
Related CVE:
Pattern-based finding
Priority:
Immediate
High CWE-918

SSRF via Private IP Range Access

vulnerability-scan/config/constants.py

The application allows access to internal services via IP addresses that are part of private networks (CIDR blocks). An attacker can exploit this by manipulating the API call to request resources from internal systems, potentially leading to SSRF attacks.

Impact:
An attacker could use SSRF to access internal network resources, including data stores or other applications, potentially compromising sensitive information and allowing further exploitation of other vulnerabilities within the system.
Mitigation:
Implement strict validation on external IPs that are allowed to make requests. Use whitelisting for IP addresses instead of blacklisting private networks which can be bypassed with carefully crafted requests.
Line:
61
OWASP Category:
A10:2021 - Server-Side Request Forgery
NIST 800-53:
AC-3 - Access Enforcement, SC-8 - Transmission Confidentiality
CVSS Score:
7.5
Related CVE:
Pattern-based finding
Priority:
Immediate
High CWE-22

Path Traversal in Video File Validation

vulnerability-scan/utils/validators.py

The function `validate_video_file_size` allows for path traversal by allowing the inclusion of '..' in the file path. This can lead to an attacker manipulating the file path to access files outside the intended directory, potentially leading to unauthorized data exposure or system compromise.

Impact:
An attacker could exploit this vulnerability to read arbitrary files from the filesystem, potentially exposing sensitive information or compromising the application and its environment.
Mitigation:
Consider using `os.path.basename` instead of `os.path.realpath` for file path validation to prevent directory traversal attempts. Additionally, ensure that the resolved file path is within an allowed directory.
Line:
N/A
OWASP Category:
A01:2021 - Broken Access Control
NIST 800-53:
AC-2 - Account Management
CVSS Score:
7.5
Related CVE:
Pattern-based finding
Priority:
Immediate
High CWE-918

SSRF via Private IP Resolution

vulnerability-scan/utils/validators.py

The function `validate_video_url` allows for SSRF by checking the URL scheme and extension but does not properly validate that the hostname does not resolve to a private IP address. This can be exploited by an attacker to make the application perform unauthorized requests to internal services.

Impact:
An attacker could exploit this vulnerability to conduct server-side request forgery attacks, potentially accessing sensitive data or compromising internal networks.
Mitigation:
Enhance input validation to ensure that hostnames do not resolve to private IP addresses. Consider using a blacklist of known private IP ranges and perform DNS resolution checks before making network requests.
Line:
N/A
OWASP Category:
A10:2021 - Server-Side Request Forgery
NIST 800-53:
AC-3 - Access Enforcement
CVSS Score:
7.5
Related CVE:
Pattern-based finding
Priority:
Immediate
High CWE-532

Insecure Logging of Sensitive Information

vulnerability-scan/utils/error_handler.py

The function 'log_and_sanitize_error' logs detailed error information including metadata, which may contain sensitive data such as passwords and API keys. If an attacker can manipulate the context or metadata to include sensitive information, they could log this information in a way that it becomes accessible via server logs, potentially leading to data breach.

Impact:
An attacker who gains access to these logs could use the logged error_id and detailed metadata (filtered but not fully sanitized) to correlate errors across users or systems. This could lead to unauthorized disclosure of sensitive information, compromising user privacy and trust in the system.
Mitigation:
Consider implementing a more robust logging mechanism that does not log potentially sensitive data unless explicitly necessary for debugging purposes. Use environment variables or configuration files to manage which metadata is logged, ensuring only non-sensitive data is included. Additionally, ensure proper access controls are in place to prevent unauthorized access to logs.
Line:
21-34
OWASP Category:
A09:2021 - Security Logging Failures
NIST 800-53:
IA-2, SC-8
CVSS Score:
7.5
Related CVE:
Pattern-based finding
Priority:
Immediate
High CWE-89

SQL Injection Vulnerability in UserName and MemberId

vulnerability-scan/utils/models.py

The `validate_safe_input` function does not properly sanitize user input, allowing it to be interpreted as SQL commands. This can lead to SQL injection attacks where an attacker can manipulate the database queries by injecting SQL code through the validated fields 'userName' and 'memberId'. For example, if a user inputs '; DROP TABLE users;--', this could drop the entire 'users' table.

Impact:
An attacker can execute arbitrary SQL commands on the server, potentially leading to data loss, unauthorized access, or complete system compromise.
Mitigation:
Use parameterized queries or input validation libraries that do not interpret user input as part of a query. Alternatively, consider using an ORM (Object-Relational Mapping) library which inherently provides protection against SQL injection attacks.
Line:
45-52
OWASP Category:
A03:2021-Injection
NIST 800-53:
AC-3, SC-13
CVSS Score:
9.8
Related CVE:
Pattern-based finding
Priority:
Immediate
High CWE-287

Missing Authentication for Sensitive Operations

vulnerability-scan/src/security_config.py

The application does not enforce authentication for certain sensitive operations, such as accessing the configuration settings directly through environment variables. This can be exploited by an attacker to gain unauthorized access.

Impact:
An attacker could exploit this vulnerability to obtain sensitive security configurations, leading to a significant data breach or system compromise.
Mitigation:
Enforce authentication for all operations that require privileged access. Use middleware or application-level checks to ensure only authenticated users can access sensitive settings.
Line:
45-52
OWASP Category:
A07:2021-Authentication Failures
NIST 800-53:
AC-2, AC-6, IA-2
CVSS Score:
9.1
Related CVE:
Pattern-based finding
Priority:
Immediate
High CWE-287

Insecure Configuration of Milvus Client

vulnerability-scan/src/dependencies.py

The code initializes a Milvus client with environment variables for host, port, user, and password. However, it does not perform any validation or sanitization of these inputs. An attacker can manipulate the environment variables to control the configuration of the Milvus client, potentially leading to unauthorized access or data leakage.

Impact:
An attacker could exploit this misconfiguration to gain unauthorized access to the Milvus database, read sensitive information, or perform actions on behalf of the compromised account. This would be particularly dangerous if the Milvus instance is used for critical applications where confidentiality and integrity are essential.
Mitigation:
Ensure that all configuration settings are validated and sanitized before being used to initialize any client. Consider implementing a more secure method for managing sensitive information, such as using a secrets management service or securely stored credentials in a vault.
Line:
config['milvus'] = {...}
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-20

Insecure Video Processing with Untrusted Input

vulnerability-scan/src/video_processor.py

The `process_video` method in the `VideoProcessor` class does not properly validate or sanitize user-controlled input. An attacker can provide a malicious video file that, when processed, could lead to arbitrary code execution or other system impacts due to insecure deserialization or command injection vulnerabilities.

Impact:
An attacker could exploit this vulnerability to execute arbitrary code on the server, potentially leading to complete system compromise if the environment allows for such exploitation. The impact is significant as it bypasses typical security controls and directly accesses sensitive data or functionality.
Mitigation:
Implement strict input validation and sanitization mechanisms before processing any user-controlled inputs. Use whitelisting techniques to restrict acceptable file types, sizes, and formats. Consider employing a sandbox environment for untrusted content to limit potential damage from malicious files.
Line:
45-52
OWASP Category:
A01:2021 - Broken Access Control
NIST 800-53:
AC-6, AC-3, SC-13
CVSS Score:
9.8
Related CVE:
Pattern-based finding
Priority:
Immediate
High CWE-20

Unvalidated User Input in Base64 Frame Processing

vulnerability-scan/src/video_processor.py

The `process_bytes` method in the `VideoProcessor` class does not validate or sanitize user-controlled input when decoding and processing Base64 frames. An attacker can provide a malicious payload that, upon decoding, could lead to arbitrary code execution or other system impacts through deserialization flaws.

Impact:
An attacker could exploit this vulnerability to execute arbitrary code on the server, potentially leading to complete system compromise if the environment allows for such exploitation. The impact is significant as it bypasses typical security controls and directly accesses sensitive data or functionality.
Mitigation:
Implement strict input validation and sanitization mechanisms before processing any user-controlled inputs. Use whitelisting techniques to restrict acceptable formats, sizes, and types of input. Consider employing additional checks such as signature verification for trusted sources to mitigate risks associated with untrusted content.
Line:
65-72
OWASP Category:
A01:2021 - Broken Access Control
NIST 800-53:
AC-6, AC-3, SC-13
CVSS Score:
9.8
Related CVE:
Pattern-based finding
Priority:
Immediate
High CWE-305

Missing API Key Validation

vulnerability-scan/src/security_middleware.py

The application does not validate an API key for all requests, allowing unauthenticated users to access protected endpoints. Attacker can bypass authentication by crafting HTTP requests without including the 'X-API-Key' or 'Authorization' header.

Impact:
Unauthenticated attackers can gain unauthorized access to sensitive data and functionalities within the application, potentially leading to complete system compromise if they exploit other vulnerabilities.
Mitigation:
Implement API key validation middleware that checks for the presence of a valid API key in request headers. If no valid API key is provided, return an HTTP 401 Unauthorized response with a detailed message indicating the need for authentication.
Line:
59-68
OWASP Category:
A09:2021
NIST 800-53:
AC-2, AC-3
CVSS Score:
7.5
Related CVE:
Pattern-based finding
Priority:
Immediate
High CWE-326

Insecure Configuration Handling

vulnerability-scan/src/security_middleware.py

The application uses environment variables for sensitive configuration settings without proper encryption or secure handling mechanisms. An attacker can easily intercept these environment variables and gain unauthorized access to the system.

Impact:
An attacker could exploit this weakness to gain unauthorized access to sensitive information, including API keys, database credentials, and other critical configurations that are exposed in environment variables.
Mitigation:
Use secure configuration management practices such as storing secrets in a vault or using Kubernetes secrets for managing sensitive data. Encrypt stored secrets at rest and ensure that only authorized personnel have access to decryption keys.
Line:
N/A
OWASP Category:
A05:2021
NIST 800-53:
AC-2, AC-3
CVSS Score:
7.4
Related CVE:
Pattern-based finding
Priority:
Immediate
High CWE-295

Missing SSL Verification in External Connections

vulnerability-scan/src/security_middleware.py

The application does not verify SSL certificates when making external connections. This exposes the system to man-in-the-middle attacks and allows attackers to intercept sensitive information.

Impact:
An attacker could exploit this vulnerability by intercepting communications between the application and external services, potentially leading to data leakage and unauthorized access to the system.
Mitigation:
Implement SSL certificate verification in all external connection attempts. Use a library or framework feature that allows for SSL/TLS certificate validation to ensure the integrity of network connections.
Line:
31-37
OWASP Category:
A03:2021
NIST 800-53:
AC-2, AC-3
CVSS Score:
6.5
Related CVE:
Pattern-based finding
Priority:
Immediate
High CWE-326

Insecure Configuration of Milvus Connection Parameters

vulnerability-scan/src/milvus_client.py

The code allows for insecure configuration of Milvus connection parameters, including the use of cleartext passwords. An attacker can exploit this by intercepting network traffic to obtain sensitive credentials.

Impact:
An attacker could gain unauthorized access to the Milvus database, potentially compromising all data stored within it and allowing further exploitation through a compromised database instance.
Mitigation:
Use secure protocols for communication (e.g., HTTPS) and avoid hardcoding sensitive information in clear text. Consider using environment variables or encrypted configuration files for such settings.
Line:
N/A
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-347

Missing API Key Validation

vulnerability-scan/src/middleware.py

The middleware does not perform any validation of the 'API-Key' header, allowing an attacker to send a request with any arbitrary value for this header. This can lead to unauthorized access if the application treats all API keys equally.

Impact:
An attacker could bypass authentication and gain full access to the protected endpoints, potentially leading to data breaches or system takeover.
Mitigation:
Ensure that the 'API-Key' is validated against a known good value. This can be done by comparing it with an environment variable set during deployment or configuration management. For example, use `if request_api_key != os.getenv('API_KEY'):` to enforce validation.
Line:
29-31
OWASP Category:
A07:2021 - Authentication Failures
NIST 800-53:
AC-3 - Access Enforcement, AC-6 - Least Privilege
CVSS Score:
7.5
Related CVE:
Priority:
Immediate
High CWE-287

Insecure Configuration of Face Analysis Model

vulnerability-scan/src/embedding_generator.py

The application uses a default configuration for the FaceAnalysis model, which does not require authentication or authorization checks. An attacker can manipulate the request to access unauthorized functionalities, such as accessing protected face data or modifying system configurations.

Impact:
An attacker could gain unauthorized access to sensitive information and potentially modify system settings, leading to a complete compromise of the application's security posture.
Mitigation:
Implement proper authentication and authorization mechanisms to restrict access to the FaceAnalysis model. Use role-based access control (RBAC) or other access controls to ensure that only authorized users can perform actions on sensitive data or system configurations.
Line:
23-24
OWASP Category:
A05:2021-Security Misconfiguration
NIST 800-53:
AC-2, AC-3
CVSS Score:
9.1
Related CVE:
Pattern-based finding
Priority:
Immediate
Medium CWE-377

Insecure Configuration of Temporary File Deletion

vulnerability-scan/api_routers/face_auth.py

The application does not securely delete temporary files, which could allow an attacker to retrieve sensitive information from the filesystem after the file has been deleted. This is particularly concerning if the temporary files contain user credentials or other confidential data.

Impact:
An attacker with physical access to the server could potentially recover the deleted files using forensic tools, leading to a data breach and potential loss of trust in the system.
Mitigation:
Ensure that temporary files are securely deleted by overwriting them multiple times before deletion. Use secure file deletion libraries or utilities provided by the operating system, such as `os.remove` with the `shutil` module's `rmtree` function for Python, ensuring they overwrite the data prior to removal.
Line:
N/A
OWASP Category:
A05:2021-Security Misconfiguration
NIST 800-53:
SI-2
CVSS Score:
7.5
Related CVE:
Pattern-based finding
Priority:
Short-term
Medium CWE-377

Insecure Environment Variable Usage

vulnerability-scan/src/security_config.py

The application uses environment variables for sensitive configuration settings without proper validation or encryption, which can lead to unauthorized access and data leakage.

Impact:
An attacker could exploit this vulnerability by manipulating environment variables to gain unauthorized access to the system, leading to a complete data breach.
Mitigation:
Use secure vaults or secret management services for storing sensitive configuration settings. Validate and sanitize all inputs that come from environment variables before using them in security-critical operations.
Line:
45-52
OWASP Category:
A05:2021-Security Misconfiguration
NIST 800-53:
AC-2, AC-6, IA-2
CVSS Score:
9.1
Related CVE:
Pattern-based finding
Priority:
Immediate
Low CWE-209

[Downgraded] Insecure Default Configuration

vulnerability-scan/src/security_config.py

The application uses default values for security settings, which can be exploited by attackers to bypass intended access controls and gain unauthorized privileges. For example, the API authentication is enabled by default without any keys configured.

Impact:
An attacker could bypass all authentication mechanisms and gain full access to the system, leading to a complete data breach or system takeover.
Mitigation:
Configure security settings through environment variables with appropriate validation checks. Ensure that sensitive configurations are not hardcoded in source code. Example: Validate API keys presence before enabling API authentication.
Line:
45-52
OWASP Category:
A05:2021-Security Misconfiguration
NIST 800-53:
AC-2, AC-6, IA-2
CVSS Score:
9.8
Related CVE:
Pattern-based finding
Priority:
Immediate