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CVE-2025-53944: Authorization Bypass Vulnerability in AutoGPT’s External API

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Overview

The cybersecurity community has identified a significant vulnerability in AutoGPT, a popular platform for creating, deploying, and managing continuous AI agents. The vulnerability, marked as CVE-2025-53944, involves an authorization bypass in AutoGPT’s external API. This flaw could potentially allow malicious actors to compromise systems or leak sensitive data, impacting any organization that uses affected versions of this platform.

Vulnerability Summary

CVE ID: CVE-2025-53944
Severity: High (CVSS: 7.7)
Attack Vector: Network
Privileges Required: Low
User Interaction: None
Impact: System compromise and potential data leakage

Affected Products

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Product | Affected Versions

AutoGPT | v0.6.15 and below

How the Exploit Works

The vulnerability lies in AutoGPT’s external API’s get_graph_execution_results endpoint. While the endpoint correctly validates user access to the graph_id, it does not verify the ownership of the graph_exec_id parameter. This flaw allows authenticated users to access any execution results by providing arbitrary execution IDs.

Conceptual Example Code

Here is a conceptual example of how the vulnerability might be exploited. This is a sample HTTP request to the vulnerable endpoint, with an arbitrary execution ID:

GET /api/get_graph_execution_results?graph_id=valid_id&graph_exec_id=arbitrary_id HTTP/1.1
Host: target.example.com
Authorization: Bearer valid_token

In this example, the “valid_id” is a legitimate graph ID the attacker has access to, while “arbitrary_id” is the execution ID the attacker wishes to access, potentially belonging to a different user.

Recommendation

Affected users are strongly encouraged to update to AutoGPT v0.6.16 or newer, where this vulnerability has been addressed. If immediate patching is not possible, utilising a Web Application Firewall (WAF) or Intrusion Detection System (IDS) to monitor and block suspicious activity can serve as a temporary mitigation strategy.

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Disclaimer:

The information and code presented in this article are provided for educational and defensive cybersecurity purposes only. Any conceptual or pseudocode examples are simplified representations intended to raise awareness and promote secure development and system configuration practices.

Do not use this information to attempt unauthorized access or exploit vulnerabilities on systems that you do not own or have explicit permission to test.

Ameeba and its authors do not endorse or condone malicious behavior and are not responsible for misuse of the content. Always follow ethical hacking guidelines, responsible disclosure practices, and local laws.

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