CVE-2025-67911 Tribulant Software CVE debrief

Who should care

Defenders and administrators of systems using Tribulant Software Newsletters newsletters-lite should assess exposure and prioritize verification and mitigation.

Why it matters

CVE-2025-67911 is a critical Deserialization of Untrusted Data vulnerability in Tribulant Software Newsletters newsletters-lite, allowing Object Injection. Defenders and administrators of systems using this plugin should assess exposure, prioritize verification of affected systems, and apply patches or mitigations as available. The vulnerability's impact and exploitation are not well-documented, requiring further verification.

• Potential object injection attacks
• Possible system compromise or data breaches
• Need for verification of affected systems and patch application

Technical summary

Deserialization of Untrusted Data vulnerability in Tribulant Software Newsletters newsletters-lite allows Object Injection, affecting versions from n/a through <= 4.11. This critical vulnerability has a CVSS score of 9.8, indicating potential object injection attacks and possible system compromise or data breaches. Defenders should prioritize verification of affected systems and apply patches or mitigations as available, reviewing system configurations to ensure proper input validation.

Defensive priority

Defenders should prioritize verification of affected systems and apply patches or mitigations as available.

Recommended defensive actions

• Verify affected systems and apply patches or mitigations as available
• Monitor for potential exploitation attempts
• Review system configurations and ensure proper input validation

Evidence notes

The CVE record and NVD entry provide details on the vulnerability, but additional information on exploitation or impact is limited. Defenders should verify affected systems, review system configurations, and ensure proper input validation. The CVE Program record and NVD detail page offer source-provided CVE metadata and vulnerability assessments. However, further verification is needed due to limited information on exploitation or impact.

Sources and references

Methodology and review provenance

AI-assisted synthesis based on stored public vulnerability evidence. System validation, approval state, and publication status do not by themselves establish human review of this revision. PatchSiren helps prioritize defensive review and does not prove exposure or remediation on any system.