CVE-2026-24477

HIGH
2026-01-27 [email protected]
7.5
CVSS 3.1
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CVSS Vector

CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
Attack Vector
Network
Attack Complexity
Low
Privileges Required
None
User Interaction
None
Scope
Unchanged
Confidentiality
High
Integrity
None
Availability
None

Lifecycle Timeline

3
Analysis Generated
Mar 12, 2026 - 21:55 vuln.today
PoC Detected
Jan 28, 2026 - 15:59 vuln.today
Public exploit code
CVE Published
Jan 27, 2026 - 00:15 nvd
HIGH 7.5

Description

AnythingLLM is an application that turns pieces of content into context that any LLM can use as references during chatting. If AnythingLLM prior to version 1.10.0 is configured to use Qdrant as the vector database with an API key, this QdrantApiKey could be exposed in plain text to unauthenticated users via the `/api/setup-complete` endpoint. Leakage of QdrantApiKey allows an unauthenticated attacker full read/write access to the Qdrant vector database instance used by AnythingLLM. Since Qdrant often stores the core knowledge base for RAG in AnythingLLM, this can lead to complete compromise of the semantic search / retrieval functionality and indirect leakage of confidential uploaded documents. Version 1.10.0 patches the issue.

Analysis

Anythingllm versions up to 1.10.0 contains a vulnerability that allows attackers to complete compromise of the semantic search / retrieval functionality and indirec (CVSS 7.5).

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Remediation

Within 24 hours: Audit all AnythingLLM deployments to identify affected versions (≤1.10.0) and document systems processing sensitive data. Within 7 days: Implement network segmentation to restrict AnythingLLM access, disable semantic search features if operationally feasible, and establish enhanced monitoring for suspicious queries. …

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Priority Score

58
Low Medium High Critical
KEV: 0
EPSS: +0.0
CVSS: +38
POC: +20

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CVE-2026-24477 vulnerability details – vuln.today

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