Security Resilience

CVE-2023-5832

Mintplexlabs Anythingllm ≤ 0.1.0

Public PoC
Published
30 October 2023
Modified
21 November 2024
Patch / advisory
CVSS Score v3.1 9.1
Click a component to see what it means
Raw vectorCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:H/A:H
EPSS Score 0.0074 54th percentile
Risk Priority 68 floored blend · peak EPSS

CVSS and EPSS are reproduced from their sources (NVD, FIRST EPSS). Risk Priority is our own derived reading, not an NVD score.

Summary

CVE-2023-5832 is a critical-severity Improper Input Validation (CWE-20) vulnerability in Mintplexlabs Anythingllm. Its CVSS base score is 9.1 (Critical).

Operationally, ranked in the top 46% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.

This vulnerability is AI-related — categorised as LLM Application Platforms; in the Other ATLAS/OWASP Terms risk domain.

OWASP Top 10 for Web (2025)

EU & UK References

Vulnerability Data

Improper Input Validation in GitHub repository mintplex-labs/anything-llm prior to 0.1.0.

CWE(s)

AI Security AnalysisAI

AI Category
LLM Application Platforms
Risk Domain
Other ATLAS/OWASP Terms
OWASP Top 10 for LLMs 2025
None mapped
Classification Reason
The vulnerability is in 'mintplex-labs/anything-llm', an open-source full-stack AI application/platform for interacting with LLMs (AnythingLLM), fitting the 'Enterprise AI Assistants' category as it provides AI assistant capabilities for document chatting and LLM usage. Reported on an AI/ML bug bounty platform (huntr).

Related Threats

CVEs Like This One

CVE-2024-3028Same product: Mintplexlabs Anythingllm
CVE-2024-3029Same product: Mintplexlabs Anythingllm
CVE-2024-3101Same product: Mintplexlabs Anythingllm
CVE-2024-4287Same product: Mintplexlabs Anythingllm
CVE-2026-24477Same product: Mintplexlabs Anythingllm
CVE-2024-3570Same product: Mintplexlabs Anythingllm
CVE-2024-7771Same product: Mintplexlabs Anythingllm
CVE-2024-10513Same product: Mintplexlabs Anythingllm
CVE-2026-24478Same product: Mintplexlabs Anythingllm
CVE-2024-13059Same product: Mintplexlabs Anythingllm

Affected Assets

mintplexlabs
anythingllm
≤ 0.1.0

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-20

Security testing and developer training directly verify and enforce proper input validation, reducing exploitability of injection and malformed-data weaknesses.

addresses: CWE-20

Security testing and evaluation at multiple SDLC stages directly detects missing or flawed input validation, with the required remediation process ensuring fixes are applied.

addresses: CWE-20

Directly implements checks on information inputs to reject invalid data before processing.

addresses: CWE-20

Spam protection mechanisms perform filtering and detection on inbound/outbound messages, directly compensating for missing or weak input validation of unsolicited content.

Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI

Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.

blocks

A.8.25 mandates security requirements, secure coding guidelines, checkpoints, testing (incl. code scans) and developer training in the SDLC, which reaches a slice of input validation defects but leaves the majority (incomplete enforcement, second-order inputs, parser differentials, post-validation canonicalization) unaddressed as in the SA-3 and A.8.28 anchors.

blocks

Mandating input controls that include integrity checks and input validation ensures that untrusted data is examined before use, blocking the root cause of many injection and malformed-data weaknesses.

blocks

Security-by-design principles explicitly call for data validation and sanitization at every layer, reducing the chance that malformed or malicious input will be processed without scrutiny.

prevents

Requiring language-specific secure coding standards, peer review, SAST and documented mitigation of common programming errors forces validation of all inputs before they are trusted.

finds

Testing against a defined set of requirements and using code review plus vulnerability scanning forces validation of inputs and handling of unanticipated conditions, reducing the chance that malformed data will be accepted.

Hardening callouts derived

DISA STIG baselines are authored against specific weaknesses. Where this CVE cites a broad weakness class, the mapping is not asserted at that abstraction (owner ruling, 2026-09-25: grade only at Base and below), so no rule is shown here rather than a rule shown against the wrong grain.

  • No fine-grained STIG row for CWE-20, a class-level weakness, and none of its children carries one either.

References