CVE-2024-10833
CVE-2024-10833
Weakness (CWE)
CVSS Vector
v3.0- Attack Vector
- Network
- Attack Complexity
- Low
- Privileges Required
- None
- User Interaction
- None
- Scope
- Unchanged
- Confidentiality
- None
- Integrity
- High
- Availability
- High
Description
eosphoros-ai/db-gpt version 0.6.0 is vulnerable to an arbitrary file write through the knowledge API. The endpoint for uploading files as 'knowledge' is susceptible to absolute path traversal, allowing attackers to write files to arbitrary locations on the target server. This vulnerability arises because the 'doc_file.filename' parameter is user-controllable, enabling the construction of absolute paths.
Comprehensive Technical Analysis of CVE-2024-10833
1. Vulnerability Assessment and Severity Evaluation
CVE ID: CVE-2024-10833 CVSS Score: 9.1
The vulnerability in eosphoros-ai/db-gpt version 0.6.0 allows for arbitrary file write through the knowledge API. This is a critical vulnerability due to its potential for significant impact on the integrity and availability of the affected system. The CVSS score of 9.1 indicates a high severity, reflecting the ease of exploitation and the severe consequences of a successful attack.
2. Potential Attack Vectors and Exploitation Methods
Attack Vectors:
- Path Traversal: The primary attack vector involves exploiting the 'doc_file.filename' parameter to construct absolute paths. This allows attackers to write files to arbitrary locations on the server.
- File Upload: The knowledge API endpoint for uploading files is the entry point for this vulnerability. Attackers can upload malicious files designed to exploit the path traversal weakness.
Exploitation Methods:
- Payload Crafting: Attackers can craft payloads that include absolute paths to critical system files or directories.
- File Overwrite: By overwriting system files, attackers can disrupt services, inject malicious code, or escalate privileges.
- Persistent Access: Writing files to specific locations can enable attackers to gain persistent access to the system, potentially leading to long-term compromise.
3. Affected Systems and Software Versions
Affected Software:
- eosphoros-ai/db-gpt version 0.6.0
Systems:
- Any server running the affected version of eosphoros-ai/db-gpt.
- Systems that expose the knowledge API endpoint to untrusted users.
4. Recommended Mitigation Strategies
Immediate Actions:
- Patching: Upgrade to a patched version of eosphoros-ai/db-gpt that addresses this vulnerability.
- Access Control: Restrict access to the knowledge API endpoint to trusted users only.
- Input Validation: Implement strict input validation to sanitize the 'doc_file.filename' parameter and prevent path traversal.
Long-Term Strategies:
- Regular Audits: Conduct regular security audits and code reviews to identify and mitigate similar vulnerabilities.
- Security Training: Educate developers on secure coding practices to prevent future occurrences of such vulnerabilities.
- Monitoring: Implement continuous monitoring and logging to detect and respond to suspicious activities related to file uploads.
5. Impact on Cybersecurity Landscape
This vulnerability highlights the ongoing challenge of securing APIs and file upload mechanisms. It underscores the importance of robust input validation and access control in preventing path traversal attacks. The high CVSS score indicates the potential for widespread impact if exploited, emphasizing the need for proactive security measures and timely patching.
6. Technical Details for Security Professionals
Vulnerability Details:
- Endpoint: The knowledge API endpoint for file uploads.
- Parameter: 'doc_file.filename'
- Exploit Mechanism: The parameter is user-controllable, allowing the construction of absolute paths.
Detection and Response:
- Log Analysis: Monitor logs for unusual file upload activities, especially those involving absolute paths.
- Intrusion Detection: Implement intrusion detection systems (IDS) to detect and alert on suspicious file upload patterns.
- Incident Response: Develop an incident response plan that includes steps for isolating affected systems, analyzing the impact, and restoring integrity.
Example Exploit Code:
import requests
url = "http://vulnerable-server/api/knowledge/upload"
files = {
'doc_file': ('../../../../etc/passwd', open('malicious_file', 'rb'), 'application/octet-stream')
}
response = requests.post(url, files=files)
print(response.text)
Mitigation Code Example:
from flask import Flask, request
import os
app = Flask(__name__)
@app.route('/api/knowledge/upload', methods=['POST'])
def upload_file():
if 'doc_file' not in request.files:
return 'No file part', 400
file = request.files['doc_file']
if file.filename == '':
return 'No selected file', 400
if '../' in file.filename or file.filename.startswith('/'):
return 'Invalid filename', 400
file.save(os.path.join('/safe/upload/path', file.filename))
return 'File uploaded successfully', 200
if __name__ == '__main__':
app.run()
By addressing the vulnerability through patching, access control, and input validation, organizations can significantly reduce the risk of exploitation and maintain the integrity and availability of their systems.