CVE-2025-41023: AutoGPT Authentication Bypass Vulnerability

CVE-2025-41023 Overview

An authentication bypass vulnerability has been discovered in Thesamur's AutoGPT, a popular AI agent framework. This vulnerability allows an attacker to bypass authentication mechanisms entirely, gaining unauthorized access to the web application. Once inside, the attacker can use any of its features regardless of the authorization method used, potentially leading to unauthorized actions, data access, or system compromise.

Critical Impact
Attackers can bypass authentication in AutoGPT and access all web application features without proper authorization, potentially compromising AI agent operations and sensitive data.

Affected Products

Thesamur AutoGPT (specific versions not disclosed)

Discovery Timeline

2026-02-19 - CVE-2025-41023 published to NVD
2026-02-19 - Last updated in NVD database

Technical Details for CVE-2025-41023

Vulnerability Analysis

This authentication bypass vulnerability (CWE-287: Improper Authentication) allows remote attackers to circumvent the authentication mechanisms implemented in Thesamur's AutoGPT web application. The vulnerability is exploitable over the network without requiring any prior authentication or user interaction, making it particularly dangerous for exposed deployments.

The improper authentication implementation fails to adequately verify user credentials or session tokens, allowing attackers to gain access to protected functionality. Once authentication is bypassed, the attacker inherits the full capabilities of the web application, regardless of what authorization controls are in place. This could include executing AI agent tasks, accessing configuration settings, or retrieving sensitive data processed by the AutoGPT instance.

Root Cause

The root cause of this vulnerability lies in improper authentication handling within the AutoGPT web application (CWE-287). The authentication mechanism fails to properly validate user credentials or session states, creating a path for attackers to bypass the login process entirely. This type of vulnerability typically arises from flawed logic in authentication checks, missing validation steps, or improper session management.

Attack Vector

The attack vector is network-based, meaning attackers can exploit this vulnerability remotely without requiring local access to the target system. The exploitation does not require any privileges or user interaction, making it a straightforward attack for malicious actors to execute.

The attacker targets the authentication endpoints or mechanisms of the AutoGPT web application. By crafting specific requests or manipulating authentication parameters, the attacker can bypass the credential verification process. Upon successful exploitation, the attacker gains full access to the web application's features and functionality.

For detailed technical information about this vulnerability, refer to the INCIBE Advisory on Authentication Bypass.

Detection Methods for CVE-2025-41023

Indicators of Compromise

Unusual login attempts or successful authentications without corresponding credential submissions
Access to protected application features from unexpected IP addresses or user agents
Anomalous API calls to AutoGPT endpoints without valid session tokens
Unexpected modifications to AutoGPT configurations or agent tasks

Detection Strategies

Monitor authentication logs for sessions established without proper credential exchange
Implement web application firewall (WAF) rules to detect authentication bypass attempts
Review access logs for requests to protected endpoints that lack valid authentication headers
Deploy anomaly detection for unusual patterns in AutoGPT API usage

Monitoring Recommendations

Enable verbose logging for all authentication-related events in the AutoGPT application
Set up alerts for multiple failed authentication attempts followed by successful access
Monitor network traffic to AutoGPT instances for suspicious request patterns
Regularly audit active sessions and their creation timestamps

How to Mitigate CVE-2025-41023

Immediate Actions Required

Restrict network access to AutoGPT instances to trusted IP ranges only
Place AutoGPT behind a reverse proxy with additional authentication layers
Review and audit all current active sessions for suspicious activity
Consider temporarily disabling public access until a patch is available

Patch Information

Consult the vendor advisory and the INCIBE Advisory on Authentication Bypass for the latest patch information and recommended updates from Thesamur.

Workarounds

Implement network-level access controls (firewall rules, VPN requirements) to limit exposure
Deploy an additional authentication proxy layer in front of the AutoGPT application
Enable multi-factor authentication if supported by your deployment configuration
Monitor and log all access attempts for forensic analysis

bash

# Example: Network restriction using iptables
# Restrict AutoGPT access to trusted IP range only
iptables -A INPUT -p tcp --dport 8080 -s 192.168.1.0/24 -j ACCEPT
iptables -A INPUT -p tcp --dport 8080 -j DROP