CVE-2026-42380: CWE-502 Deserialization of Untrusted Data in jwsthemes AI Lab
Unauthenticated PHP Object Injection in AI Lab < 5.4.2 versions.
AI Analysis
Technical Summary
This vulnerability (CWE-502) involves unsafe deserialization in jwsthemes AI Lab before version 5.4.2, enabling unauthenticated attackers to perform PHP Object Injection. The vulnerability has a CVSS 3.1 base score of 9.8, indicating critical impact with network attack vector, no required privileges or user interaction, and full confidentiality, integrity, and availability impact. No official patch or remediation level is currently documented, and no known exploits in the wild have been reported.
Potential Impact
Successful exploitation allows remote attackers to execute arbitrary code, potentially leading to complete system compromise, data theft, and service disruption. The vulnerability is exploitable over the network without authentication, making it highly severe.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until an official fix is available, restrict access to the affected application and monitor for suspicious activity related to deserialization. Avoid exposing the vulnerable service to untrusted networks.
CVE-2026-42380: CWE-502 Deserialization of Untrusted Data in jwsthemes AI Lab
Description
Unauthenticated PHP Object Injection in AI Lab < 5.4.2 versions.
CVSS v3.1
Score 9.8critical
Affected software
Weaknesses
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
This vulnerability (CWE-502) involves unsafe deserialization in jwsthemes AI Lab before version 5.4.2, enabling unauthenticated attackers to perform PHP Object Injection. The vulnerability has a CVSS 3.1 base score of 9.8, indicating critical impact with network attack vector, no required privileges or user interaction, and full confidentiality, integrity, and availability impact. No official patch or remediation level is currently documented, and no known exploits in the wild have been reported.
Potential Impact
Successful exploitation allows remote attackers to execute arbitrary code, potentially leading to complete system compromise, data theft, and service disruption. The vulnerability is exploitable over the network without authentication, making it highly severe.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until an official fix is available, restrict access to the affected application and monitor for suspicious activity related to deserialization. Avoid exposing the vulnerable service to untrusted networks.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- Patchstack
- Date Reserved
- 2026-04-27T08:22:05.095Z
- Cvss Version
- 3.1
- State
- PUBLISHED
- Remediation Level
- null
Threat ID: 6a32804c0b89be68882ffde4
Added to database: 6/17/2026, 11:09:00 AM
Last enriched: 6/17/2026, 11:31:40 AM
Last updated: 6/17/2026, 5:26:17 PM
Views: 4
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