CVE-2026-42343: CWE-400: Uncontrolled Resource Consumption in labring FastGPT
FastGPT is an AI Agent building platform. In versions 4.14.13 and prior, the code-sandbox component suffers from insufficient resource isolation and uncontrolled resource consumption. The service relies solely on an application-level soft limit (a 500ms polling interval) for memory management and lacks strict OS-level constraints such as cgroups or kernel-level namespaces. This architectural weakness allows attackers to easily bypass memory checks via time-window attacks, or exhaust the entire JavaScript worker pool via concurrent CPU-intensive requests, resulting in a complete Denial of Service (DoS) for legitimate users. At time of publication, there are no publicly available patches.
AI Analysis
Technical Summary
CVE-2026-42343 affects labring's FastGPT AI Agent building platform, specifically versions 4.14.13 and prior. The vulnerability arises from the code-sandbox component's reliance on application-level soft limits for resource management without OS-level enforcement such as cgroups or namespaces. This design flaw allows attackers to bypass memory checks through timing attacks or to overwhelm the JavaScript worker pool with concurrent CPU-intensive tasks, resulting in a complete Denial of Service for legitimate users. The CVSS 4.0 base score is 6.3 (medium severity). No official remediation or patches have been released as of the publication date.
Potential Impact
Exploitation of this vulnerability can cause a complete Denial of Service by exhausting memory or CPU resources in the FastGPT code-sandbox environment. Legitimate users will be unable to access or use the service during such an attack. There are no known exploits in the wild currently. The impact is limited to service availability degradation without evidence of data compromise or privilege escalation.
Mitigation Recommendations
At the time of this report, no official patches or fixes are available. Users of affected FastGPT versions should consider implementing external resource constraints at the OS or container level if possible, or limit exposure of the vulnerable component until a vendor-provided fix is released. Monitor vendor advisories for updates. Avoid relying solely on the application-level soft limits for resource management.
CVE-2026-42343: CWE-400: Uncontrolled Resource Consumption in labring FastGPT
Description
FastGPT is an AI Agent building platform. In versions 4.14.13 and prior, the code-sandbox component suffers from insufficient resource isolation and uncontrolled resource consumption. The service relies solely on an application-level soft limit (a 500ms polling interval) for memory management and lacks strict OS-level constraints such as cgroups or kernel-level namespaces. This architectural weakness allows attackers to easily bypass memory checks via time-window attacks, or exhaust the entire JavaScript worker pool via concurrent CPU-intensive requests, resulting in a complete Denial of Service (DoS) for legitimate users. At time of publication, there are no publicly available patches.
CVSS v4.0
Score 6.3medium
Affected software
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Weaknesses
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
CVE-2026-42343 affects labring's FastGPT AI Agent building platform, specifically versions 4.14.13 and prior. The vulnerability arises from the code-sandbox component's reliance on application-level soft limits for resource management without OS-level enforcement such as cgroups or namespaces. This design flaw allows attackers to bypass memory checks through timing attacks or to overwhelm the JavaScript worker pool with concurrent CPU-intensive tasks, resulting in a complete Denial of Service for legitimate users. The CVSS 4.0 base score is 6.3 (medium severity). No official remediation or patches have been released as of the publication date.
Potential Impact
Exploitation of this vulnerability can cause a complete Denial of Service by exhausting memory or CPU resources in the FastGPT code-sandbox environment. Legitimate users will be unable to access or use the service during such an attack. There are no known exploits in the wild currently. The impact is limited to service availability degradation without evidence of data compromise or privilege escalation.
Mitigation Recommendations
At the time of this report, no official patches or fixes are available. Users of affected FastGPT versions should consider implementing external resource constraints at the OS or container level if possible, or limit exposure of the vulnerable component until a vendor-provided fix is released. Monitor vendor advisories for updates. Avoid relying solely on the application-level soft limits for resource management.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- GitHub_M
- Date Reserved
- 2026-04-26T13:26:14.514Z
- Cvss Version
- 4.0
- State
- PUBLISHED
- Remediation Level
- null
Threat ID: 69fe61e5cbff5d8610367faf
Added to database: 05/08/2026, 22:21:25 UTC
Last enriched: 05/16/2026, 10:17:05 UTC
Last updated: 07/31/2026, 19:22:58 UTC
Views: 87
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