CVE-2026-31233: n/a
Guardrails AI thru 0.6.7 contains a code injection vulnerability (CWE-94) in its Hub package installation mechanism. When installing validator packages via guardrails hub install, the system retrieves a manifest from the Guardrails Hub and dynamically executes a script specified in the post_install field. The script path is constructed from untrusted manifest data and executed without proper validation or sanitization, allowing remote code execution. An attacker who can publish malicious packages to the Hub can inject arbitrary code that will be executed on any system where a victim installs the malicious package.
AI Analysis
Technical Summary
CVE-2026-31233 describes a code injection vulnerability (CWE-94) in Guardrails AI up to version 0.6.7. The vulnerability exists in the Hub package installation process, where the system downloads a manifest from the Guardrails Hub and dynamically executes a script indicated in the post_install field. The script path is constructed from untrusted manifest data and lacks proper validation or sanitization, enabling remote code execution if a malicious package is published to the Hub and subsequently installed by a victim.
Potential Impact
An attacker capable of publishing malicious packages to the Guardrails Hub can inject arbitrary code that will execute on any system installing the compromised package. This can lead to remote code execution on the victim's system, potentially allowing full system compromise depending on the privileges of the installation process.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until an official fix is available, avoid installing packages from untrusted sources on the Guardrails Hub. Monitor vendor channels for updates or patches addressing this vulnerability.
CVE-2026-31233: n/a
Description
Guardrails AI thru 0.6.7 contains a code injection vulnerability (CWE-94) in its Hub package installation mechanism. When installing validator packages via guardrails hub install, the system retrieves a manifest from the Guardrails Hub and dynamically executes a script specified in the post_install field. The script path is constructed from untrusted manifest data and executed without proper validation or sanitization, allowing remote code execution. An attacker who can publish malicious packages to the Hub can inject arbitrary code that will be executed on any system where a victim installs the malicious package.
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
CVE-2026-31233 describes a code injection vulnerability (CWE-94) in Guardrails AI up to version 0.6.7. The vulnerability exists in the Hub package installation process, where the system downloads a manifest from the Guardrails Hub and dynamically executes a script indicated in the post_install field. The script path is constructed from untrusted manifest data and lacks proper validation or sanitization, enabling remote code execution if a malicious package is published to the Hub and subsequently installed by a victim.
Potential Impact
An attacker capable of publishing malicious packages to the Guardrails Hub can inject arbitrary code that will execute on any system installing the compromised package. This can lead to remote code execution on the victim's system, potentially allowing full system compromise depending on the privileges of the installation process.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until an official fix is available, avoid installing packages from untrusted sources on the Guardrails Hub. Monitor vendor channels for updates or patches addressing this vulnerability.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- mitre
- Date Reserved
- 2026-03-09T00:00:00.000Z
- Cvss Version
- null
- State
- PUBLISHED
- Remediation Level
- null
Threat ID: 6a036531cbff5d861008c1b3
Added to database: 5/12/2026, 5:36:49 PM
Last enriched: 5/12/2026, 7:38:46 PM
Last updated: 5/13/2026, 4:59:15 AM
Views: 2
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