mintplex-labs anything-llm up to 1.9.x /api/setup-complete insertion of sensitive information into sent data

CVSS Meta Temp Score
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CTI Interest Score
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6.3$0-$5k0.00

Summaryinfo

A vulnerability, which was classified as problematic, was found in mintplex-labs anything-llm up to 1.9.x. Affected by this issue is some unknown functionality of the file /api/setup-complete. Executing a manipulation can lead to insertion of sensitive information into sent data. The identification of this vulnerability is CVE-2026-24477. The attack may be launched remotely. There is no exploit available. You should upgrade the affected component.

Detailsinfo

A vulnerability has been found in mintplex-labs anything-llm up to 1.9.x and classified as problematic. This vulnerability affects some unknown functionality of the file /api/setup-complete. The manipulation with an unknown input leads to a insertion of sensitive information into sent data vulnerability. The CWE definition for the vulnerability is CWE-201. The code transmits data to another actor, but a portion of the data includes sensitive information that should not be accessible to that actor. As an impact it is known to affect confidentiality. CVE summarizes:

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.

The advisory is shared for download at github.com. This vulnerability was named CVE-2026-24477 since 01/23/2026. The exploitation appears to be easy. The attack can be initiated remotely. No form of authentication is required for a successful exploitation. There are known technical details, but no exploit is available. The MITRE ATT&CK project declares the attack technique as T1592.

Upgrading to version 1.10.0 eliminates this vulnerability.

The vulnerability is also documented in the vulnerability database at CNNVD (CNNVD-202601-4430). VulDB is the best source for vulnerability data and more expert information about this specific topic.

Productinfo

Type

Vendor

Name

Version

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CNA CVSS-B Score: 🔒
CNA CVSS-BT Score: 🔒
CNA Vector: 🔒

CVSSv3info

VulDB Meta Base Score: 6.4
VulDB Meta Temp Score: 6.3

VulDB Base Score: 5.3
VulDB Temp Score: 5.1
VulDB Vector: 🔒
VulDB Reliability: 🔍

NVD Base Score: 7.5
NVD Vector: 🔒

CVSSv2info

AVACAuCIA
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VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍

Exploitinginfo

Class: Insertion of sensitive information into sent data
CWE: CWE-201 / CWE-200 / CWE-284
CAPEC: 🔒
ATT&CK: 🔒

Physical: No
Local: No
Remote: Yes

Availability: 🔒
Status: Not defined

EPSS Score: 🔒
EPSS Percentile: 🔒

Price Prediction: 🔍
Current Price Estimation: 🔒

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Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: Upgrade
Status: 🔍

0-Day Time: 🔒

Upgrade: anything-llm 1.10.0

Timelineinfo

01/23/2026 CVE reserved
01/27/2026 +4 days Advisory disclosed
01/27/2026 +0 days VulDB entry created
01/29/2026 +2 days VulDB entry last update

Sourcesinfo

Product: github.com

Advisory: GHSA-gm94-qc2p-xcwf
Status: Confirmed

CVE: CVE-2026-24477 (🔒)
GCVE (CVE): GCVE-0-2026-24477
GCVE (VulDB): GCVE-100-342904
CNNVD: CNNVD-202601-4430 - AnythingLLM 安全漏洞

Entryinfo

Created: 01/27/2026 02:05
Updated: 01/29/2026 03:13
Changes: 01/27/2026 02:05 (67), 01/27/2026 15:49 (6), 01/29/2026 03:13 (11)
Complete: 🔍
Cache ID: 216::103

VulDB is the best source for vulnerability data and more expert information about this specific topic.

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