Cyber Resilience

CVE-2024-2548

HighPublic PoC

Published: 06 June 2024

Published
06 June 2024
Modified
21 November 2024
KEV Added
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Patch
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CVSS Score v3.1 7.5 CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
EPSS Score 0.0023 46.2th percentile
Risk Priority 15 60% EPSS · 20% KEV · 20% CVSS

Summary

CVE-2024-2548 is a high-severity Absolute Path Traversal (CWE-36) vulnerability in Lollms Lollms Web Ui. Its CVSS base score is 7.5 (High).

Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 46.2th 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 Privacy and Disclosure risk domain; MITRE ATLAS techniques in scope: Obtain Capabilities (AML.T0016), Exfiltration via AI Inference API (AML.T0024).

EU & UK References

Vulnerability details

A path traversal vulnerability exists in the parisneo/lollms-webui application, specifically within the `lollms_core/lollms/server/endpoints/lollms_binding_files_server.py` and `lollms_core/lollms/security.py` files. Due to inadequate validation of file paths between Windows and Linux environments using `Path(path).is_absolute()`, attackers can exploit this flaw to read any file on…

more

the system. This issue affects the latest version of LoLLMs running on the Windows platform. The vulnerability is triggered when an attacker sends a specially crafted request to the `/user_infos/{path:path}` endpoint, allowing the reading of arbitrary files, as demonstrated with the `win.ini` file. The issue has been addressed in version 9.5 of the software.

CWE(s)
CWE-36CWE-22

AI Security AnalysisAI

AI Category
Other Platforms
Risk Domain
Privacy and Disclosure
OWASP Top 10 for LLMs 2025
None mapped
Classification Reason
The vulnerability affects parisneo/lollms-webui, a web UI platform for running and managing large language models (LoLLMs), which qualifies as an AI platform but does not fit more specific categories like frameworks, libraries, or enterprise assistants.

Related Threats

MITRE ATT&CK Enterprise TechniquesAI

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 →
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.
attack.mitre.org →
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 →
T1552.001 Credentials In Files Credential Access
Adversaries may search local file systems and remote file shares for files containing insecurely stored credentials.
attack.mitre.org →
Why these techniques?

Path traversal vulnerability in public-facing web endpoint enables remote exploitation (T1190), arbitrary file reads for local data collection (T1005), file discovery via path navigation (T1083), and accessing credentials in files (T1552.001).

MITRE ATLAS TechniquesAI

MITRE ATLAS techniques

AML.T0016: Obtain CapabilitiesAML.T0024: Exfiltration via AI Inference API

Affected Assets

lollms
lollms web ui
≤ 9.5

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