Cyber Resilience

CVE-2024-45190

MediumPublic PoC

Published: 23 August 2024

Published
23 August 2024
Modified
10 October 2025
KEV Added
Patch
CVSS Score v3.1 6.5 CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N
EPSS Score 0.0016 36.8th percentile
Risk Priority 13 60% EPSS · 20% KEV · 20% CVSS

Summary

CVE-2024-45190 is a medium-severity Path Traversal: '.../...//' (CWE-35) vulnerability in Mage Mage-Ai. Its CVSS base score is 6.5 (Medium).

Operationally, exploitation aligns with the MITRE ATT&CK technique /etc/passwd and /etc/shadow (T1003.008); ranked at the 36.8th percentile by exploit likelihood (below the median); 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 Platforms; in the Privacy and Disclosure risk domain; MITRE ATLAS techniques in scope: Create Proxy AI Model (AML.T0005), Active Scanning (AML.T0006), Discover AI Artifacts (AML.T0007).

EU & UK References

Vulnerability details

Mage AI allows remote users with the "Viewer" role to leak arbitrary files from the Mage server due to a path traversal in the "Pipeline Interaction" request

CWE(s)

AI Security AnalysisAI

AI Category
Other Platforms
Risk Domain
Privacy and Disclosure
OWASP Top 10 for LLMs 2025
None mapped
Classification Reason
Mage AI is an open-source data pipeline platform designed for AI/ML workflows, including pipeline management and interactions, which aligns with Other Platforms as it is neither a framework, library, nor specialized in NLP/CV/etc.

Related Threats

MITRE ATT&CK Enterprise TechniquesAI

T1003.008 /etc/passwd and /etc/shadow Credential Access
Adversaries may attempt to dump the contents of <code>/etc/passwd</code> and <code>/etc/shadow</code> to enable offline password cracking.
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.
T1082 System Information Discovery Discovery
An adversary may attempt to get detailed information about the operating system and hardware, including version, patches, hotfixes, service packs, and architecture.
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.
T1552.001 Credentials In Files Credential Access
Adversaries may search local file systems and remote file shares for files containing insecurely stored credentials.
Why these techniques?

Path traversal enables arbitrary file reads (e.g., /etc/passwd), facilitating OS credential dumping from /etc/passwd and /etc/shadow, data collection from local system, system information discovery, file and directory discovery, and retrieval of unsecured credentials in files.

MITRE ATLAS TechniquesAI

MITRE ATLAS techniques

AML.T0005: Create Proxy AI ModelAML.T0006: Active ScanningAML.T0007: Discover AI ArtifactsAML.T0061: LLM Prompt Self-ReplicationAML.T0062: Discover LLM HallucinationsAML.T0063: Discover AI Model OutputsAML.T0064: Gather RAG-Indexed TargetsAML.T0065: LLM Prompt CraftingAML.T0071: False RAG Entry InjectionAML.T0072: Reverse ShellAML.T0073: Impersonation

Affected Assets

mage
mage-ai
all versions

Mitigating Controls

No mitigating controls mapped yet. The per-CVE control annotator has not reached this CVE.

References