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CVE-2025-6855: Path Traversal in chatchat-space Langchain-Chatchat

Medium
VulnerabilityCVE-2025-6855cvecve-2025-6855
Published: Sun Jun 29 2025 (06/29/2025, 09:00:15 UTC)
Source: CVE Database V5
Vendor/Project: chatchat-space
Product: Langchain-Chatchat

Description

A vulnerability, which was classified as critical, has been found in chatchat-space Langchain-Chatchat up to 0.3.1. This issue affects some unknown processing of the file /v1/file. The manipulation of the argument flag leads to path traversal. The exploit has been disclosed to the public and may be used.

AI-Powered Analysis

AILast updated: 06/29/2025, 09:24:27 UTC

Technical Analysis

CVE-2025-6855 is a path traversal vulnerability identified in the chatchat-space Langchain-Chatchat software versions up to 0.3.1. The vulnerability arises from improper handling of the 'flag' argument in the processing of the /v1/file endpoint. An attacker can manipulate this argument to traverse directories outside the intended file path scope, potentially accessing unauthorized files on the server. This vulnerability is classified as medium severity with a CVSS 4.0 score of 5.1, reflecting its moderate impact and exploitability. The attack vector is adjacent network (AV:A), requiring low privileges (PR:L) but no user interaction (UI:N). The vulnerability impacts confidentiality, integrity, and availability to a limited extent (VC:L, VI:L, VA:L). The exploit has been publicly disclosed but there are no known exploits in the wild at this time. The lack of authentication bypass and the requirement for some level of privilege reduce the overall risk, but the ability to access arbitrary files can lead to sensitive data exposure or system compromise if leveraged in a chained attack. No patches or mitigation links have been provided yet, indicating that affected organizations should prioritize monitoring and protective controls while awaiting official fixes.

Potential Impact

For European organizations using Langchain-Chatchat versions 0.3.0 or 0.3.1, this vulnerability could lead to unauthorized access to sensitive internal files, including configuration files, credentials, or proprietary data. Such exposure can result in data breaches, intellectual property theft, or provide footholds for further attacks such as privilege escalation or lateral movement within networks. Given Langchain-Chatchat's role in chat or AI-related processing, compromised data integrity or confidentiality could disrupt business operations or damage trust with customers and partners. The medium severity and requirement for some privileges limit the immediate widespread impact, but targeted attacks against critical infrastructure or data centers using this software could have significant consequences. Organizations in regulated sectors (finance, healthcare, government) must be especially vigilant due to compliance and data protection obligations under GDPR and other frameworks.

Mitigation Recommendations

1. Immediate mitigation should include restricting access to the /v1/file endpoint to trusted and authenticated users only, minimizing exposure to adjacent network attackers. 2. Implement strict input validation and sanitization on the 'flag' parameter to prevent directory traversal sequences such as '../'. 3. Employ web application firewalls (WAFs) with custom rules to detect and block path traversal attempts targeting this endpoint. 4. Monitor logs for unusual file access patterns or attempts to access sensitive directories. 5. Isolate the Langchain-Chatchat service in a hardened environment with minimal file system permissions to limit the impact of any successful traversal. 6. Engage with the vendor or community to obtain patches or updates addressing this vulnerability as soon as they become available. 7. Conduct internal audits and penetration testing focused on this vulnerability to assess exposure and response readiness.

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Technical Details

Data Version
5.1
Assigner Short Name
VulDB
Date Reserved
2025-06-28T10:38:00.820Z
Cvss Version
4.0
State
PUBLISHED

Threat ID: 686102d26f40f0eb727b899a

Added to database: 6/29/2025, 9:09:38 AM

Last enriched: 6/29/2025, 9:24:27 AM

Last updated: 7/13/2025, 4:14:30 AM

Views: 17

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