Security Resilience

CVE-2023-6709

Lfprojects Mlflow ≤ 2.9.2

Public PoC
Published
12 December 2023
Modified
21 November 2024
Patch / advisory
CVSS Score v3.1 8.8
Click a component to see what it means
Raw vectorCVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
EPSS Score 0.0094 60th percentile
Risk Priority 66 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-2023-6709 is a high-severity Improper Neutralization of Special Elements Used in a Template Engine (CWE-1336) vulnerability in Lfprojects Mlflow. Its CVSS base score is 8.8 (High).

Operationally, exploitation aligns with the MITRE ATT&CK technique Data Obfuscation (T1001); ranked in the top 40% 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 Other ATLAS/OWASP Terms risk domain.

EU & UK References

Vulnerability Data

Improper Neutralization of Special Elements Used in a Template Engine in GitHub repository mlflow/mlflow prior to 2.9.2.

CWE(s)

AI Security AnalysisAI

AI Category
Other AI Platforms
Risk Domain
Other ATLAS/OWASP Terms
OWASP Top 10 for LLMs 2025
None mapped
Classification Reason
MLflow is an open-source platform for managing the machine learning lifecycle, including experiment tracking, reproducibility, deployment, and model registry, fitting under 'Other Platforms'. The vulnerability is a template engine issue (likely SSTI) in this ML platform.

Related Threats

MITRE ATT&CK Enterprise Techniques

T1001 Data Obfuscation Command And Control
Adversaries may obfuscate command and control traffic to make it more difficult to detect.
T1001.001 Junk Data Command And Control
Adversaries may add junk data to protocols used for command and control to make detection more difficult.
T1003.004 LSA Secrets Credential Access
Adversaries with SYSTEM access to a host may attempt to access Local Security Authority (LSA) secrets, which can contain a variety of different credential materials, such as credentials for service accounts.
T1007 System Service Discovery Discovery
Adversaries may try to gather information about registered local system services.
T1010 Application Window Discovery Discovery
Adversaries may attempt to get a listing of open application windows.
T1011.001 Exfiltration Over Bluetooth Exfiltration
Adversaries may attempt to exfiltrate data over Bluetooth rather than the command and control channel.
Derived from this CVE’s CWE(s) via the direct CWE→ATT&CK cross-walk.

CVEs Like This One

CVE-2024-2928Same product: Lfprojects Mlflow
CVE-2023-6831Same product: Lfprojects Mlflow
CVE-2024-3573Same product: Lfprojects Mlflow
CVE-2024-3848Same product: Lfprojects Mlflow
CVE-2023-6568Same product: Lfprojects Mlflow
CVE-2024-3099Same product: Lfprojects Mlflow
CVE-2024-37055Same product: Lfprojects Mlflow
CVE-2024-37054Same product: Lfprojects Mlflow
CVE-2024-37058Same product: Lfprojects Mlflow
CVE-2024-37053Same product: Lfprojects Mlflow

Affected Assets

lfprojects
mlflow
≤ 2.9.2

Mitigating Controls

Control response

Prevent
Stop it (NIST 800-53)

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Detect
Catch it (NIST detect / respond)

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Harden
Shrink the surface (DISA STIG)

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Validate
Prove the fix (OWASP ASVS)
  • V1.3.7
  • V1.3.10

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 partial match
blocks

Secure SDLC practices directly require proper input neutralization in template engines to prevent injection.

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.

removes
removes
removes
removes
removes

References