CVE-2026-6613: Authorization Bypass in TransformerOptimus SuperAGI
CVE-2026-6613 is an authorization bypass vulnerability in TransformerOptimus SuperAGI versions up to 0. 0. 14. It affects the delete_agent, stop_schedule, and get_schedule_data functions in the superagi/controllers/agent. py file. The vulnerability arises from manipulation of the agent_id argument, allowing remote attackers to bypass authorization controls. The exploit code is publicly available, but there is no vendor response or official patch at this time. The CVSS 4. 0 base score is 5. 3, indicating a medium severity level.
AI Analysis
Technical Summary
This vulnerability in TransformerOptimus SuperAGI (<= 0.0.14) allows remote attackers to bypass authorization checks by manipulating the agent_id parameter in specific controller functions (delete_agent, stop_schedule, get_schedule_data). This could enable unauthorized access or actions related to agent management and scheduling within the application. The vendor has not provided a patch or remediation guidance, and the exploit is publicly accessible.
Potential Impact
Successful exploitation allows an attacker with network access and low privileges to bypass authorization controls, potentially enabling unauthorized deletion of agents, stopping schedules, or retrieving schedule data. This could lead to unauthorized manipulation or disclosure of scheduling and agent-related information within the affected application.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Since the vendor has not responded and no official fix is available, users should consider implementing additional access controls or network restrictions to limit exposure to the affected functions until a patch is released.
CVE-2026-6613: Authorization Bypass in TransformerOptimus SuperAGI
Description
CVE-2026-6613 is an authorization bypass vulnerability in TransformerOptimus SuperAGI versions up to 0. 0. 14. It affects the delete_agent, stop_schedule, and get_schedule_data functions in the superagi/controllers/agent. py file. The vulnerability arises from manipulation of the agent_id argument, allowing remote attackers to bypass authorization controls. The exploit code is publicly available, but there is no vendor response or official patch at this time. The CVSS 4. 0 base score is 5. 3, indicating a medium severity level.
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
This vulnerability in TransformerOptimus SuperAGI (<= 0.0.14) allows remote attackers to bypass authorization checks by manipulating the agent_id parameter in specific controller functions (delete_agent, stop_schedule, get_schedule_data). This could enable unauthorized access or actions related to agent management and scheduling within the application. The vendor has not provided a patch or remediation guidance, and the exploit is publicly accessible.
Potential Impact
Successful exploitation allows an attacker with network access and low privileges to bypass authorization controls, potentially enabling unauthorized deletion of agents, stopping schedules, or retrieving schedule data. This could lead to unauthorized manipulation or disclosure of scheduling and agent-related information within the affected application.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Since the vendor has not responded and no official fix is available, users should consider implementing additional access controls or network restrictions to limit exposure to the affected functions until a patch is released.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- VulDB
- Date Reserved
- 2026-04-19T16:13:32.175Z
- Cvss Version
- 4.0
- State
- PUBLISHED
- Remediation Level
- null
Threat ID: 69e5cf3219fe3cd2cda1168d
Added to database: 4/20/2026, 7:01:06 AM
Last enriched: 4/20/2026, 7:16:25 AM
Last updated: 4/20/2026, 8:12:35 AM
Views: 3
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