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.
EPSS Score:
0%
Comprehensive Technical Analysis of EUVD-2025-7080
1. Vulnerability Assessment and Severity Evaluation
The vulnerability in eosphoros-ai/db-gpt version 0.6.0 allows for an arbitrary file write through the knowledge API. This is a critical issue because it enables attackers to write files to arbitrary locations on the target server, potentially leading to complete system compromise. The CVSS (Common Vulnerability Scoring System) base score of 9.1 indicates a high severity, primarily due to the following factors:
- Attack Vector (AV:N): The vulnerability can be exploited over the network.
- Attack Complexity (AC:L): The attack requires low complexity.
- Privileges Required (PR:N): No privileges are required to exploit the vulnerability.
- User Interaction (UI:N): No user interaction is required.
- Scope (S:U): The vulnerability affects the same security scope.
- Confidentiality (C:N): There is no direct impact on confidentiality.
- Integrity (I:H): The integrity of the system is highly impacted.
- Availability (A:H): The availability of the system is highly impacted.
2. Potential Attack Vectors and Exploitation Methods
The primary attack vector involves exploiting the doc_file.filename parameter in the knowledge API endpoint. Attackers can construct absolute paths to write files to arbitrary locations on the server. Potential exploitation methods include:
- Path Traversal: By manipulating the
doc_file.filenameparameter, attackers can traverse directories and write files to sensitive locations, such as system directories or web server roots. - File Overwrite: Attackers can overwrite critical system files, configuration files, or executables, leading to unauthorized access or system crashes.
- Malicious File Upload: Attackers can upload malicious scripts or binaries that can be executed to gain further control over the server.
3. Affected Systems and Software Versions
The vulnerability affects eosphoros-ai/db-gpt version 0.6.0. It is crucial to note that all versions up to and including 0.6.0 are potentially vulnerable unless specifically patched. Organizations using this software should immediately assess their systems and apply the necessary updates.
4. Recommended Mitigation Strategies
To mitigate this vulnerability, the following strategies are recommended:
- Patch Management: Ensure that the software is updated to the latest version that includes the fix for this vulnerability. The referenced GitHub commit (
780ce803e325b87f4ddfbe5824451e379aeee56c) should be reviewed and applied. - Input Validation: Implement strict input validation and sanitization for the
doc_file.filenameparameter to prevent path traversal attacks. - Access Controls: Restrict access to the knowledge API endpoint to trusted users and systems.
- Monitoring and Logging: Enhance monitoring and logging to detect and respond to any suspicious activities related to file uploads and API interactions.
- Network Segmentation: Segment the network to limit the potential impact of an exploit by isolating critical systems.
5. Impact on European Cybersecurity Landscape
The vulnerability in eosphoros-ai/db-gpt poses a significant risk to organizations within the European Union that rely on this software. Given the high severity and the potential for complete system compromise, this vulnerability could lead to data breaches, service disruptions, and financial losses. The European cybersecurity landscape must prioritize timely patching and robust security measures to mitigate such risks.
6. Technical Details for Security Professionals
For security professionals, the following technical details are essential:
- Vulnerability Identification: The vulnerability is identified by EUVD-2025-7080, CVE-2024-10833, and GHSA-j9g7-mqhh-9hxf.
- Exploit Mechanism: The exploit involves manipulating the
doc_file.filenameparameter to achieve path traversal and arbitrary file write. - Detection: Implement intrusion detection systems (IDS) and intrusion prevention systems (IPS) to monitor for suspicious file upload activities and API interactions.
- Response: Develop incident response plans that include steps for identifying, containing, and remediating the vulnerability.
- Prevention: Conduct regular security audits and vulnerability assessments to identify and address similar issues proactively.
By addressing these points, organizations can effectively manage the risk associated with this vulnerability and enhance their overall cybersecurity posture.