Security Resilience

CVE-2024-1483

Path Traversal in Lfprojects Mlflow ≤ 2.12.1

Public PoCPath Traversal
Published
16 April 2024
Modified
03 February 2025
CVSS Score v3.1 7.5
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:N/A:N
EPSS Score 0.027 86th percentile
Risk Priority 83 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-2024-1483 is a high-severity Path Traversal (CWE-22) vulnerability in Lfprojects Mlflow. Its CVSS base score is 7.5 (High).

Operationally, exploitation aligns with the MITRE ATT&CK technique Data Obfuscation (T1001); ranked in the top 14% 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 Privacy and Disclosure risk domain.

The strongest mitigations our analysis identified map to AC-3 (Access Enforcement) 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 path traversal vulnerability affects MLflow version 2.9.2, enabling attackers to read arbitrary files on the server. The flaw stems from insufficient validation of user-supplied input in the server's handlers for artifact-related operations, specifically when processing the artifact_location and source parameters in HTTP requests.

An unauthenticated remote attacker can exploit the issue by sending crafted POST requests that use a local URI containing a # character in place of a query delimiter. Successful exploitation grants read access to sensitive files outside the intended directory, corresponding to the observed CVSS vector that requires no authentication or user interaction.

MLflow is an open-source platform commonly used in machine-learning workflows, which increases the potential impact of file disclosure in data-science environments. The EPSS score rose from lower values after disclosure to a peak of 0.7861 in December 2025 before settling at the current 0.7394, indicating growing exploitation interest following public release.

OWASP Top 10 for Web (2025)

EU & UK References

Vulnerability Data

A path traversal vulnerability exists in mlflow/mlflow version 2.9.2, allowing attackers to access arbitrary files on the server. By crafting a series of HTTP POST requests with specially crafted 'artifact_location' and 'source' parameters, using a local URI with '#' instead…

more

of '?', an attacker can traverse the server's directory structure. The issue occurs due to insufficient validation of user-supplied input in the server's handlers.

CWE(s)

AI Security AnalysisAI

AI Category
Other AI Platforms
Risk Domain
Privacy and Disclosure
OWASP Top 10 for LLMs 2025
None mapped
Classification Reason
MLflow is an open-source MLOps platform for managing the end-to-end machine learning lifecycle, including experiment tracking, model registry, and artifact storage, which fits under 'Other Platforms' as it is not a framework, library, or specific AI subdomain tool.

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.
T1003.003 NTDS Credential Access
Adversaries may attempt to access or create a copy of the Active Directory domain database in order to steal credential information, as well as obtain other information about domain members such as devices, users, and access rights.
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.
T1003.006 DCSync Credential Access
Adversaries may attempt to access credentials and other sensitive information by abusing a Windows Domain Controller's application programming interface (API)(Citation: Microsoft DRSR Dec 2017) (Citation: Microsoft GetNCCChanges) (Citati…
T1016.001 Internet Connection Discovery Discovery
Adversaries may check for Internet connectivity on compromised systems.
T1018 Remote System Discovery Discovery
Adversaries may attempt to get a listing of other systems by IP address, hostname, or other logical identifier on a network that may be used for Lateral Movement from the current system.
Derived from this CVE’s CWE(s) via the direct CWE→ATT&CK cross-walk.

CVEs Like This One

CVE-2024-1560Same product: Lfprojects Mlflow
CVE-2024-0520Same product: Lfprojects Mlflow
CVE-2024-1558Same product: Lfprojects Mlflow
CVE-2023-6015Same product: Lfprojects Mlflow
CVE-2024-1593Same product: Lfprojects Mlflow
CVE-2024-1594Same product: Lfprojects Mlflow
CVE-2025-11201Same product: Lfprojects Mlflow
CVE-2023-30172Same product: Lfprojects Mlflow
CVE-2025-15031Same product: Lfprojects Mlflow
CVE-2026-2614Same product: Lfprojects Mlflow

Affected Assets

lfprojects
mlflow
≤ 2.12.1

Mitigating Controls

Control response

Prevent
Stop it (NIST 800-53)

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Detect
Catch it (NIST detect / respond)

—

Harden
Shrink the surface (DISA STIG)

—

Validate
Prove the fix (OWASP ASVS)
  • V5.3.2

Mitigating Controls (NIST 800-53 r5) AI

Enforces the intended directory access authorizations that path traversal would otherwise bypass.

Input validation directly neutralizes special path elements before pathname construction occurs.

Least privilege reduces the impact of any unauthorized file access obtained via traversal.

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-02 partial match
blocks

Patching/maintenance can remediate known path-traversal flaws in deployed software (partial prevention of exploitability) but does nothing to stop the coding defect from being introduced in the first place.

PR.AA-05 none match
blocks

PR.AA-05 defines and reviews access policies but does not address code-level pathname neutralization, so neither direction prevents CWE-22.

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