CVE-2024-1879
"AutoGPT CSRF Command Execution"
Description
A Cross-Site Request Forgery (CSRF) vulnerability in significant-gravitas/autogpt version v0.5.0 allows attackers to execute arbitrary commands on the AutoGPT server. The vulnerability stems from the lack of protections on the API endpoint receiving instructions, enabling an attacker to direct a user running AutoGPT in their local network to a malicious website. This site can then send crafted requests to the AutoGPT server, leading to command execution. The issue is exacerbated by CORS being enabled for arbitrary origins by default, allowing the attacker to read the response of all cross-site queries. This vulnerability was addressed in version 5.1.
INFO
Published Date :
June 6, 2024, 6:15 p.m.
Last Modified :
Sept. 24, 2024, 1:54 p.m.
Source :
[email protected]
Remotely Exploitable :
Yes !
Impact Score :
5.9
Exploitability Score :
2.8
References to Advisories, Solutions, and Tools
Here, you will find a curated list of external links that provide in-depth
information, practical solutions, and valuable tools related to
CVE-2024-1879.
| URL | Resource |
|---|---|
| https://github.com/significant-gravitas/autogpt/commit/26324f29849967fa72c207da929af612f1740669 | Patch |
| https://huntr.com/bounties/125c2d0c-0481-4e5c-ae90-fec263acdf32 | Exploit Third Party Advisory |
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-2024-1879 vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2024-1879 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.
-
Initial Analysis by [email protected]
Sep. 24, 2024
Action Type Old Value New Value Added CVSS V3.1 NIST AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H Changed Reference Type https://github.com/significant-gravitas/autogpt/commit/26324f29849967fa72c207da929af612f1740669 No Types Assigned https://github.com/significant-gravitas/autogpt/commit/26324f29849967fa72c207da929af612f1740669 Patch Changed Reference Type https://huntr.com/bounties/125c2d0c-0481-4e5c-ae90-fec263acdf32 No Types Assigned https://huntr.com/bounties/125c2d0c-0481-4e5c-ae90-fec263acdf32 Exploit, Third Party Advisory Added CPE Configuration OR *cpe:2.3:a:agpt:autogpt:0.5.0:*:*:*:*:*:*:* -
CVE Received by [email protected]
Jun. 06, 2024
Action Type Old Value New Value Added Description A Cross-Site Request Forgery (CSRF) vulnerability in significant-gravitas/autogpt version v0.5.0 allows attackers to execute arbitrary commands on the AutoGPT server. The vulnerability stems from the lack of protections on the API endpoint receiving instructions, enabling an attacker to direct a user running AutoGPT in their local network to a malicious website. This site can then send crafted requests to the AutoGPT server, leading to command execution. The issue is exacerbated by CORS being enabled for arbitrary origins by default, allowing the attacker to read the response of all cross-site queries. This vulnerability was addressed in version 5.1. Added Reference huntr.dev https://huntr.com/bounties/125c2d0c-0481-4e5c-ae90-fec263acdf32 [No types assigned] Added Reference huntr.dev https://github.com/significant-gravitas/autogpt/commit/26324f29849967fa72c207da929af612f1740669 [No types assigned] Added CWE huntr.dev CWE-352 Added CVSS V3 huntr.dev AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
CWE - Common Weakness Enumeration
While CVE identifies
specific instances of vulnerabilities, CWE categorizes the common flaws or
weaknesses that can lead to vulnerabilities. CVE-2024-1879 is
associated with the following CWEs:
Common Attack Pattern Enumeration and Classification (CAPEC)
Common Attack Pattern Enumeration and Classification
(CAPEC)
stores attack patterns, which are descriptions of the common attributes and
approaches employed by adversaries to exploit the CVE-2024-1879
weaknesses.