CVE-2026-42456
MEDIUM
4,3
Source: [email protected]
Attack Vector: network
Attack Complexity: low
Privileges Required: low
User Interaction: none
Scope: unchanged
Confidentiality: low
Integrity: none
Availability: none
Description
AI Translation Available
AnythingLLM is an application that turns pieces of content into context that any LLM can use as references during chatting. Prior to version 1.12.1, GET /api/workspace/:slug/tts/:chatId in AnythingLLM returns the text-to-speech audio for another user's chat response within the same workspace because the route validates workspace membership but does not enforce ownership of the targeted chat row. As a result, an authenticated user can access another user's private assistant response in audio form if the chatId is known or guessed. This constitutes an insecure direct object reference (IDOR) affecting private chat response content exposed through the TTS endpoint. This issue has been patched in version 1.12.1.
200
Exposure of Sensitive Information to an Unauthorized Actor
DraftCommon Consequences
Security Scopes Affected:
Confidentiality
Potential Impacts:
Read Application Data
Applicable Platforms
Technologies:
Mobile, Not Technology-Specific, Web Based
639
Authorization Bypass Through User-Controlled Key
IncompleteCommon Consequences
Security Scopes Affected:
Access Control
Potential Impacts:
Bypass Protection Mechanism
Gain Privileges Or Assume Identity
Applicable Platforms
All platforms may be affected
https://github.com/Mintplex-Labs/anything-llm/commit/4f3f77119d342e5489d1ba7533…
https://github.com/Mintplex-Labs/anything-llm/releases/tag/v1.12.1
https://github.com/Mintplex-Labs/anything-llm/security/advisories/GHSA-jwqg-jfg…