CVE-2025-69207
Feb. 3, 2026, 4:44 p.m.
5.4
Medium
Description
Khoj is a self-hostable artificial intelligence app. Prior to 2.0.0-beta.23, an IDOR in the Notion OAuth callback allows an attacker to hijack any user's Notion integration by manipulating the state parameter. The callback endpoint accepts any user UUID without verifying the OAuth flow was initiated by that user, allowing attackers to replace victims' Notion configurations with their own, resulting in data poisoning and unauthorized access to the victim's Khoj search index. This attack requires knowing the user's UUID which can be leaked through shared conversations where an AI generated image is present. This vulnerability is fixed in 2.0.0-beta.23.
Product(s) Impacted
| Vendor | Product | Versions |
|---|---|---|
| Khoj |
|
|
Weaknesses
Common security weaknesses mapped to this vulnerability.
CWE-639
Authorization Bypass Through User-Controlled Key
The system's authorization functionality does not prevent one user from gaining access to another user's data or record by modifying the key value identifying the data.
*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 | khoj | khoj | 2.0.0-beta.23 | / | / | / | / | / | / | / |
| a | khoj | khoj | / | / | / | / | / | / | / | / |
Tags
CVSS Score
CVSS Data - 3.1
- Attack Vector: NETWORK
- Attack Complexity: LOW
- Privileges Required: NONE
- Scope: UNCHANGED
- Confidentiality Impact: NONE
- Integrity Impact: LOW
- Availability Impact: LOW
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:L/A:L
Timeline
Published: Feb. 2, 2026, 11:16 p.m.
Last Modified: Feb. 3, 2026, 4:44 p.m.
Last Modified: Feb. 3, 2026, 4:44 p.m.
Status : Awaiting Analysis
CVE has been recently published to the CVE List and has been received by the NVD.
More infoSource
*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.