Cyber Resilience

CVE-2024-2083

Zenml ≤ 0.55.5

Public PoC
Published
16 April 2024
Modified
12 May 2025
Patch / advisory
CVSS Score v3.1 9.9
Click a component to see what it means
Raw vectorCVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H
EPSS Score 0.37 98th percentile
Risk Priority 86 floored blend · peak EPSS

Summary

CVE-2024-2083 is a critical-severity Path Traversal: '\..\filename' (CWE-29) vulnerability in Zenml Zenml. Its CVSS base score is 9.9 (Critical).

Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked in the top 2% 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.

The strongest mitigations our analysis identified map to SI-10 (Information Input Validation) and AC-3 (Access Enforcement) — see the control section below for these in your framework.

EU & UK References

Vulnerability Data

A directory traversal vulnerability exists in the zenml-io/zenml repository, specifically within the /api/v1/steps endpoint. Attackers can exploit this vulnerability by manipulating the 'logs' URI path in the request to fetch arbitrary file content, bypassing intended access restrictions. The vulnerability arises…

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due to the lack of validation for directory traversal patterns, allowing attackers to access files outside of the restricted directory.

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
ZenML is an open-source MLOps framework for building, managing, and deploying ML pipelines, including artifact stores for ML artifacts, steps, and logs, making it an AI/ML platform.

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.
T1005 Data from Local System Collection
Adversaries may search local system sources, such as file systems, configuration files, local databases, virtual machine files, or process memory, to find files of interest and sensitive data prior to Exfiltration.
T1083 File and Directory Discovery Discovery
Adversaries may enumerate files and directories or may search in specific locations of a host or network share for certain information within a file system.
T1552 Unsecured Credentials Credential Access
Adversaries may search compromised systems to find and obtain insecurely stored credentials.
Derived from this CVE’s CWE(s) via the direct CWE→ATT&CK cross-walk.

CVEs Like This One

CVE-2024-2171Same product: Zenml Zenml
CVE-2024-25723Same product: Zenml Zenml
CVE-2024-2213Same product: Zenml Zenml
CVE-2024-4311Same product: Zenml Zenml
CVE-2024-2032Same product: Zenml Zenml
CVE-2024-2260Same product: Zenml Zenml
CVE-2025-8406Same product: Zenml Zenml
CVE-2024-5062Same product: Zenml Zenml
CVE-2024-2035Same product: Zenml Zenml
CVE-2024-28424Same product: Zenml Zenml

Affected Assets

zenml
zenml
≤ 0.55.5

Mitigating Controls

Mitigating Controls (NIST 800-53 r5) AI

Input validation directly neutralizes the '\..\filename' sequence before pathname resolution occurs.

Access enforcement denies requests that resolve outside the intended directory even when the traversal sequence is present.

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 SDLC practices directly require input validation and path sanitization that block this traversal vector.

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.

finds

Security testing can discover path-traversal flaws but does not itself prevent them in production code.

prevents

Application security requirements can mandate input validation and path canonicalization to block traversal sequences.

prevents

Secure architecture principles include directory sandboxing and safe file-access design that mitigate path traversal.

prevents

Secure coding standards directly require neutralizing path traversal sequences such as '\..\filename'.

References