Raw vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:HSummary
CVE-2024-3104 is a critical-severity OS Command Injection (CWE-78) vulnerability in Mintplexlabs Anythingllm. Its CVSS base score is 9.8 (Critical).
Operationally, exploitation aligns with the MITRE ATT&CK technique Command and Scripting Interpreter (T1059); ranked in the top 41% 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 Supply Chain and Deployment risk domain.
The strongest mitigations our analysis identified map to SA-11 (Developer Testing and Evaluation) and SI-10 (Information Input Validation) — see the control section below for these in your framework.
Deeper analysis AI-assisted summary
Synthesised by an AI model from the NVD description and linked references — a reading aid, not an authoritative source.
A remote code execution vulnerability exists in mintplex-labs/anything-llm stemming from improper handling of environment variables through the POST /api/system/update-env endpoint. The flaw, present in versions up to the commit fde905aac1812b84066ff72e5f2f90b56d4c3a59 and classified under CWE-78, permits injection of arbitrary variables that result in code execution on the underlying host. It carries a CVSS 3.1 score of 9.8 and was addressed in release 1.0.0.
Unauthenticated remote attackers can exploit the endpoint to supply malicious environment variables, achieving arbitrary code execution with the privileges of the service account. Successful attacks enable reading or modifying accessible data and can produce denial-of-service conditions on the host.
Public references point to the fixing commit bfedfebfab032e6f4d5a369c8a2f947c5d0c5286 and the associated huntr.com disclosure, which document the remediation applied to close the injection vector. The EPSS score remains at 0.0658 with no material increase observed since disclosure.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-31707
Vulnerability Data
A remote code execution vulnerability exists in mintplex-labs/anything-llm due to improper handling of environment variables. Attackers can exploit this vulnerability by injecting arbitrary environment variables via the `POST /api/system/update-env` endpoint, which allows for the execution of arbitrary code on the…
more
host running anything-llm. The vulnerability is present in the latest version of anything-llm, with the latest commit identified as fde905aac1812b84066ff72e5f2f90b56d4c3a59. This issue has been fixed in version 1.0.0. Successful exploitation could lead to code execution on the host, enabling attackers to read and modify data accessible to the user running the service, potentially leading to a denial of service.
- CWE(s)
AI Security AnalysisAI
- AI Category
- LLM Application Platforms
- Risk Domain
- Supply Chain and Deployment
- OWASP Top 10 for LLMs 2025
- None mapped
- Classification Reason
- mintplex-labs/anything-llm is an open-source LLM application for chatting with documents, classified as an Enterprise AI Assistant platform. The vulnerability affects its deployment API.
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
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V1.2.5V1.2.8V15.2.5
Mitigating Controls (NIST 800-53 r5) AI
Developer testing and evaluation can discover missing or incorrect command sanitization during development.
Input validation directly neutralizes or rejects special characters that would otherwise alter OS command structure.
Least privilege reduces the permissions available to any process that could be subverted by injected commands.
Least functionality restricts available OS commands and interpreters, limiting the blast radius of injection.
Secure engineering principles require proper neutralization of untrusted input before command construction.
Mitigating Controls (NIST CSF 2.0) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.
PR.PS-06's SDLC practices directly require secure coding and input handling that blocks command-injection defects, yet the single broad outcome leaves many specific neutralization vectors and verification gaps unaddressed.
Routine patching/maintenance can remediate known command-injection CVEs in dependencies (partial forward) but does nothing to stop developers from introducing improper neutralization in custom code (none reverse).
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.
Security testing and code review target insecure use of operating-system command interfaces, catching command-injection flaws introduced during development.