Cyber Resilience

CVE-2024-3102

MediumPublic PoC

Published: 06 June 2024

Published
06 June 2024
Modified
21 November 2024
KEV Added
Patch
CVSS Score v3.1 5.3 CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N
EPSS Score 0.0017 38.0th percentile
Risk Priority 11 60% EPSS · 20% KEV · 20% CVSS

Summary

CVE-2024-3102 is a medium-severity Improper Restriction of Excessive Authentication Attempts (CWE-307) vulnerability in Mintplexlabs Anythingllm. Its CVSS base score is 5.3 (Medium).

Operationally, exploitation aligns with the MITRE ATT&CK technique Brute Force (T1110); ranked at the 38.0th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.

This vulnerability is AI-related — categorised as Enterprise AI Assistants; in the Other ATLAS/OWASP Terms risk domain; MITRE ATLAS techniques in scope: Data from Information Repositories (AML.T0036), Data from Local System (AML.T0037), AI Model Inference API Access (AML.T0040).

EU & UK References

Vulnerability details

A JSON Injection vulnerability exists in the `mintplex-labs/anything-llm` application, specifically within the username parameter during the login process at the `/api/request-token` endpoint. The vulnerability arises from improper handling of values, allowing attackers to perform brute force attacks without prior knowledge…

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of the username. Once the password is known, attackers can conduct blind attacks to ascertain the full username, significantly compromising system security.

CWE(s)

AI Security AnalysisAI

AI Category
Enterprise AI Assistants
Risk Domain
Other ATLAS/OWASP Terms
OWASP Top 10 for LLMs 2025
None mapped
Classification Reason
The vulnerability affects `mintplex-labs/anything-llm`, an open-source all-in-one AI application for chatting with documents using LLMs, which fits the Enterprise AI Assistants category as it is an enterprise-ready AI assistant platform.

Related Threats

MITRE ATT&CK Enterprise TechniquesAI

T1110 Brute Force Credential Access
Adversaries may use brute force techniques to gain access to accounts when passwords are unknown or when password hashes are obtained.
Why these techniques?

The JSON Injection vulnerability in the login endpoint's username parameter enables brute force attacks without prior username knowledge and blind username enumeration once a password is obtained, directly facilitating T1110 Brute Force.

MITRE ATLAS TechniquesAI

MITRE ATLAS techniques

AML.T0036: Data from Information RepositoriesAML.T0037: Data from Local SystemAML.T0040: AI Model Inference API AccessAML.T0070: RAG Poisoning

Affected Assets

mintplexlabs
anythingllm
≤ 1.0.0

Mitigating Controls

Likely Mitigating Controls AI

Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.

addresses: CWE-307

This control directly enforces limits on consecutive invalid logon attempts and automatic response (e.g., lockout) to prevent brute-force exploitation of authentication mechanisms.

addresses: CWE-307

Specific conditions can include excessive failed attempts, triggering stronger authentication that restricts brute-force exploitation.

References