Cyber Resilience

CVE-2024-4498

HighPublic PoC

Published: 25 June 2024

Published
25 June 2024
Modified
09 July 2025
KEV Added
—
Patch
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CVSS Score v3 7.7 CVSS:3.0/AV:L/AC:H/PR:N/UI:R/S:C/C:H/I:H/A:H
EPSS Score 0.0014 33.2th percentile
Risk Priority 15 60% EPSS · 20% KEV · 20% CVSS

Summary

CVE-2024-4498 is a high-severity Path Traversal (CWE-22) vulnerability in Lollms Lollms Web Ui. Its CVSS base score is 7.7 (High).

Operationally, exploitation aligns with the MITRE ATT&CK technique File and Directory Discovery (T1083); ranked at the 33.2th 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 Supply Chain and Deployment risk domain; MITRE ATLAS techniques in scope: Exfiltration via AI Inference API (AML.T0024), External Harms (AML.T0048).

EU & UK References

Vulnerability details

A Path Traversal and Remote File Inclusion (RFI) vulnerability exists in the parisneo/lollms-webui application, affecting versions v9.7 to the latest. The vulnerability arises from insufficient input validation in the `/apply_settings` function, allowing an attacker to manipulate the `discussion_db_name` parameter to…

more

traverse the file system and include arbitrary files. This issue is compounded by the bypass of input filtering in the `install_binding`, `reinstall_binding`, and `unInstall_binding` endpoints, despite the presence of a `sanitize_path_from_endpoint(data.name)` filter. Successful exploitation enables an attacker to upload and execute malicious code on the victim's system, leading to Remote Code Execution (RCE).

CWE(s)
CWE-22

AI Security AnalysisAI

AI Category
Other Platforms
Risk Domain
Supply Chain and Deployment
OWASP Top 10 for LLMs 2025
None mapped
Classification Reason
parisneo/lollms-webui is an open-source web user interface for running and managing large language models (LLMs) locally, fitting the 'Other Platforms' category as a platform for AI model deployment and interaction.

Related Threats

MITRE ATT&CK Enterprise TechniquesAI

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.
attack.mitre.org →
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.
attack.mitre.org →
Why these techniques?

Path traversal in /apply_settings enables arbitrary file inclusion and reading (T1083: File and Directory Discovery). RFI and sanitization bypass in binding endpoints allow malicious code upload and execution, facilitating exploitation of a public-facing application (T1190).

MITRE ATLAS TechniquesAI

MITRE ATLAS techniques

AML.T0024: Exfiltration via AI Inference APIAML.T0048: External Harms

Affected Assets

lollms
lollms web ui
9.7

Mitigating Controls

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.

SI-10 Information Input Validation
addresses: CWE-22

Validates pathnames and filenames to prevent traversal outside intended directories.

References