Cyber Resilience

CVE-2023-6974

SSRF in Lfprojects Mlflow ≤ 2.9.2

Public PoCSSRF
Published
20 December 2023
Modified
21 November 2024
Patch / advisory
CVSS Score v3.1 9.8
Click a component to see what it means
Raw vectorCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
EPSS Score 0.015 72th percentile
Risk Priority 76 floored blend · peak EPSS

Summary

CVE-2023-6974 is a critical-severity SSRF (CWE-918) vulnerability in Lfprojects Mlflow. Its CVSS base score is 9.8 (Critical).

Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked in the top 28% 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 Other AI Platforms; in the Supply Chain and Deployment risk domain.

OWASP Top 10 for Web (2025)

EU & UK References

Vulnerability Data

A malicious user could use this issue to access internal HTTP(s) servers and in the worst case (ie: aws instance) it could be abuse to get a remote code execution on the victim machine.

CWE(s)

AI Security AnalysisAI

AI Category
Other AI Platforms
Risk Domain
Supply Chain and Deployment
OWASP Top 10 for LLMs 2025
None mapped
Classification Reason
Vulnerability reported on Huntr, a bug bounty platform specifically for AI/ML projects, indicating it affects an AI/ML-related software/platform. Description involves SSRF-like access to internal servers and potential RCE, typical infrastructure issue in deployed AI services, but no specific framework or library mentioned.

Related Threats

MITRE ATT&CK Enterprise Techniques

T1190 Exploit Public-Facing Application Initial Access
Adversaries may attempt to exploit a weakness in an Internet-facing host or system to initially access a network.
Derived from this CVE’s CWE(s) via the direct CWE→ATT&CK cross-walk.

CVEs Like This One

CVE-2026-2393Same product: Lfprojects Mlflow
CVE-2024-1483Same product: Lfprojects Mlflow
CVE-2024-0520Same product: Lfprojects Mlflow
CVE-2024-1558Same product: Lfprojects Mlflow
CVE-2024-1560Same product: Lfprojects Mlflow
CVE-2024-1593Same product: Lfprojects Mlflow
CVE-2023-1176Same product: Lfprojects Mlflow
CVE-2025-1473Same product: Lfprojects Mlflow
CVE-2026-2614Same product: Lfprojects Mlflow
CVE-2025-11201Same product: Lfprojects Mlflow

Affected Assets

lfprojects
mlflow
≤ 2.9.2

Mitigating Controls

Control response

Prevent
Stop it (NIST 800-53)

Detect
Catch it (NIST detect / respond)

Harden
Shrink the surface (DISA STIG)

Validate
Prove the fix (OWASP ASVS)
  • V1.3.6
  • V1.5.3
  • V5.3.2
  • V10.4.7

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-918

Penetration testing attempts server-side requests to internal resources, identifying SSRF weaknesses for remediation.

addresses: CWE-918

Outbound connections to external resources can be monitored and limited at the boundary, reducing SSRF impact.

addresses: CWE-918

Validates server-side URLs and resource references to block SSRF attempts.

addresses: CWE-918

Detects server-side request forgery through monitoring of unexpected outbound connections.

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 mostly match
prevents

Secure development practices directly include input validation and destination allow-listing that prevent SSRF.

DE.CM-09 partial match
prevents

Runtime monitoring of web applications and services can detect anomalous outbound requests indicative of SSRF.

ID.RA-01 partial match
prevents

Vulnerability identification processes can discover and record SSRF flaws in web applications.

PR.IR-01 partial match
prevents

Network segmentation and egress controls can limit the damage from successful SSRF requests.

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.

prevents

Operational threat data describing SSRF campaigns can be used to tighten outbound-request allow-lists and detection rules before attackers exploit them.

References