CVE-2025-53358
July 3, 2025, 3:13 p.m.
6.5
Medium
Description
kotaemon is an open-source RAG-based tool for document comprehension. From versions 0.10.6 and prior, in libs/ktem/ktem/index/file/ui.py, the index_fn method accepts both URLs and local file paths without validation. The pipeline streams these paths directly and stores them, enabling attackers to traverse directories (e.g. ../../../../../.env) and exfiltrate sensitive files. This issue has been patched via commit 37cdc28, in version 0.10.7 which has not been made public at time of publication.
Product(s) Impacted
| Vendor | Product | Versions |
|---|---|---|
| Kotaemon |
|
|
Weaknesses
Common security weaknesses mapped to this vulnerability.
CWE-22
Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')
The product uses external input to construct a pathname that is intended to identify a file or directory that is located underneath a restricted parent directory, but the product does not properly neutralize special elements within the pathname that can cause the pathname to resolve to a location that is outside of the restricted directory.
*CPE(s)
Affected systems and software identified for this CVE.
| Type | Vendor | Product | Version | Update | Edition | Language | Software Edition | Target Software | Target Hardware | Other Information |
|---|---|---|---|---|---|---|---|---|---|---|
| a | kotaemon | kotaemon | <0.10.7 | / | / | / | / | / | / |
Tags
CVSS Score
CVSS Data - 3.1
- Attack Vector: NETWORK
- Attack Complexity: LOW
- Privileges Required: LOW
- Scope: UNCHANGED
- Confidentiality Impact: HIGH
- Integrity Impact: NONE
- Availability Impact: NONE
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N
Timeline
Published: July 2, 2025, 4:15 p.m.
Last Modified: July 3, 2025, 3:13 p.m.
Last Modified: July 3, 2025, 3:13 p.m.
Status : Awaiting Analysis
CVE has been recently published to the CVE List and has been received by the NVD.
More infoSource
security-advisories@github.com
*Disclaimer: Some vulnerabilities do not have an associated CPE. To enhance the data, we use AI to infer CPEs based on CVE details. This is an automated process and might not always be accurate.