0.0
NA
CVE-2024-9901
LocalAI Cross-Site Scripting (XSS) and Cross-Site Request Forgery (CSRF) Vulnerability
Description

Rejected reason: ** REJECT ** DO NOT USE THIS CVE ID NUMBER. The Rejected CVE Record is a duplicate of CVE-2024-48057. Notes: All CVE users should reference CVE-2024-48057 instead of this CVE Record. All references and descriptions in this candidate have been removed to prevent accidental usage.

INFO

Published Date :

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

Last Modified :

April 15, 2025, 4:15 p.m.

Remotely Exploit :

No

Source :

[email protected]
Affected Products

The following products are affected by CVE-2024-9901 vulnerability. Even if cvefeed.io is aware of the exact versions of the products that are affected, the information is not represented in the table below.

ID Vendor Product Action
1 Mudler localai
: Total Affected Vendor : 1 | Products : 1

We scan GitHub repositories to detect new proof-of-concept exploits. Following list is a collection of public exploits and proof-of-concepts, which have been published on GitHub (sorted by the most recently updated).

Results are limited to the first 15 repositories due to potential performance issues.

The following list is the news that have been mention CVE-2024-9901 vulnerability anywhere in the article.

Results are limited to the first 20 news articles due to potential performance issues.

The following table lists the changes that have been made to the CVE-2024-9901 vulnerability over time.

Vulnerability history details can be useful for understanding the evolution of a vulnerability, and for identifying the most recent changes that may impact the vulnerability's severity, exploitability, or other characteristics.

  • CVE Rejected by [email protected]

    Apr. 15, 2025

    Action Type Old Value New Value
  • CVE Modified by [email protected]

    Apr. 15, 2025

    Action Type Old Value New Value
    Changed Description LocalAI version v2.19.4 (af0545834fd565ab56af0b9348550ca9c3cb5349) contains a vulnerability where the delete model API improperly neutralizes input during web page generation, leading to a one-time storage cross-site scripting (XSS) vulnerability. This vulnerability allows an attacker to store a malicious payload that executes when a user accesses the homepage. Additionally, the presence of cross-site request forgery (CSRF) can enable automated malicious requests. Rejected reason: ** REJECT ** DO NOT USE THIS CVE ID NUMBER. The Rejected CVE Record is a duplicate of CVE-2024-48057. Notes: All CVE users should reference CVE-2024-48057 instead of this CVE Record. All references and descriptions in this candidate have been removed to prevent accidental usage.
    Removed CVSS V3 huntr.dev: AV:N/AC:L/PR:H/UI:R/S:C/C:N/I:L/A:N
    Removed CWE huntr.dev: CWE-79
    Removed Reference huntr.dev: https://github.com/mudler/localai/commit/a1634b219a4e52813e70ff07e6376a01449c4515
    Removed Reference huntr.dev: https://huntr.com/bounties/31332c23-ea89-4176-ba57-388cf6008945
  • New CVE Received by [email protected]

    Mar. 20, 2025

    Action Type Old Value New Value
    Added Description LocalAI version v2.19.4 (af0545834fd565ab56af0b9348550ca9c3cb5349) contains a vulnerability where the delete model API improperly neutralizes input during web page generation, leading to a one-time storage cross-site scripting (XSS) vulnerability. This vulnerability allows an attacker to store a malicious payload that executes when a user accesses the homepage. Additionally, the presence of cross-site request forgery (CSRF) can enable automated malicious requests.
    Added CVSS V3 AV:N/AC:L/PR:H/UI:R/S:C/C:N/I:L/A:N
    Added CWE CWE-79
    Added Reference https://github.com/mudler/localai/commit/a1634b219a4e52813e70ff07e6376a01449c4515
    Added Reference https://huntr.com/bounties/31332c23-ea89-4176-ba57-388cf6008945
EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days. Following chart shows the EPSS score history of the vulnerability.
Vulnerability Scoring Details
No CVSS metrics available for this vulnerability.