CVE-2026-42456
AnythingLLM: Cross-User TTS Audio Disclosure via Chat ID (IDOR)
Description
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.
INFO
Published Date :
May 8, 2026, 11:16 p.m.
Last Modified :
May 8, 2026, 11:16 p.m.
Remotely Exploit :
Yes !
Source :
[email protected]
Affected Products
The following products are affected by CVE-2026-42456
vulnerability.
Even if cvefeed.io is aware of the exact versions of the
products
that
are
affected, the information is not represented in the table below.
No affected product recoded yet
CVSS Scores
| Score | Version | Severity | Vector | Exploitability Score | Impact Score | Source |
|---|---|---|---|---|---|---|
| CVSS 3.1 | MEDIUM | [email protected] |
Solution
- Update AnythingLLM to version 1.12.1.
- Verify workspace membership validation.
References to Advisories, Solutions, and Tools
Here, you will find a curated list of external links that provide in-depth
information, practical solutions, and valuable tools related to
CVE-2026-42456.
CWE - Common Weakness Enumeration
While CVE identifies
specific instances of vulnerabilities, CWE categorizes the common flaws or
weaknesses that can lead to vulnerabilities. CVE-2026-42456 is
associated with the following CWEs:
Common Attack Pattern Enumeration and Classification (CAPEC)
Common Attack Pattern Enumeration and Classification
(CAPEC)
stores attack patterns, which are descriptions of the common attributes and
approaches employed by adversaries to exploit the CVE-2026-42456
weaknesses.
We scan GitHub repositories to detect new proof-of-concept exploits. Following list is a collection of public exploits and proof-of-concepts, which have been published on GitHub (sorted by the most recently updated).
Results are limited to the first 15 repositories due to potential performance issues.
The following list is the news that have been mention
CVE-2026-42456 vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2026-42456 vulnerability over time.
Vulnerability history details can be useful for understanding the evolution of a vulnerability, and for identifying the most recent changes that may impact the vulnerability's severity, exploitability, or other characteristics.
-
New CVE Received by [email protected]
May. 08, 2026
Action Type Old Value New Value Added Description 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. Added CVSS V3.1 AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N Added CWE CWE-200 Added CWE CWE-639 Added Reference https://github.com/Mintplex-Labs/anything-llm/commit/4f3f77119d342e5489d1ba7533ad6d51bdcd565f Added Reference https://github.com/Mintplex-Labs/anything-llm/releases/tag/v1.12.1 Added Reference https://github.com/Mintplex-Labs/anything-llm/security/advisories/GHSA-jwqg-jfg3-x5vv