CVE-2024-8982

March 20, 2025, 10:15 a.m.

6.2
Medium

Description

A Local File Inclusion (LFI) vulnerability in OpenLLM version 0.6.10 allows attackers to include files from the local server through the web application. This flaw could expose internal server files and potentially sensitive information such as configuration files, passwords, and other critical data. Unauthorized access to critical server files, such as configuration files, user credentials (/etc/passwd), and private keys, can lead to a complete compromise of the system's security. Attackers could leverage the exposed information to further penetrate the network, exfiltrate data, or escalate privileges within the environment.

Product(s) Impacted

Vendor Product Versions
Openllm
  • Openllm
  • 0.6.10

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-29
Path Traversal: '\..\filename'
The product uses external input to construct a pathname that should be within a restricted directory, but it does not properly neutralize '\..\filename' (leading backslash dot dot) sequences that can resolve to a location that is outside of that directory.

*CPE(s)

Affected systems and software identified for this CVE.

Type Vendor Product Version Update Edition Language Software Edition Target Software Target Hardware Other Information
a openllm openllm 0.6.10 / / / / / / /

CVSS Score

6.2 / 10

CVSS Data - 3.0

  • Attack Vector: LOCAL
  • Attack Complexity: LOW
  • Privileges Required: NONE
  • Scope: UNCHANGED
  • Confidentiality Impact: HIGH
  • Integrity Impact: NONE
  • Availability Impact: NONE
  • CVSS:3.0/AV:L/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N

    View Vector String

Timeline

Published: March 20, 2025, 10:15 a.m.
Last Modified: March 20, 2025, 10:15 a.m.

Status : Awaiting Analysis

CVE has been recently published to the CVE List and has been received by the NVD.

More info

Source

security@huntr.dev

*Disclaimer: Some vulnerabilities do not have an associated CPE. To enhance the data, we use AI to infer CPEs based on CVE details. This is an automated process and might not always be accurate.