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PatchSiren cyber security CVE debrief

CVE-2026-77294 mauriceboe CVE debrief

CVE-2026-77294 is a vulnerability in TREK, a collaborative travel planner, that allows an authenticated user to store an attacker-controlled URL through the settings API when the LLM_PARSING feature is enabled. This can lead to internal service discovery and access to link-local cloud metadata, potentially disclosing infrastructure credentials and allowing modification of protected cloud resources.

Vendor
mauriceboe
Product
TREK
CVSS
HIGH 8.1
CISA KEV
Not listed in stored evidence
Original CVE published
2026-09-24
Original CVE updated
2026-09-25
Advisory published
2026-09-24
Advisory updated
2026-09-25

Who should care

Defenders managing TREK instances, especially those with LLM_PARSING enabled, should assess exposure and verify mitigation. Roles include security administrators, DevOps teams, and cloud infrastructure managers.

Why it matters

CVE-2026-77294 allows an authenticated user to store an attacker-controlled URL, potentially disclosing infrastructure credentials and allowing modification of protected cloud resources. Defenders should prioritize verifying and mitigating this vulnerability, especially those managing TREK instances with LLM_PARSING enabled.

  • Potential disclosure of infrastructure credentials
  • Possible modification of protected cloud resources
  • Internal service discovery and access to link-local cloud metadata
  • Verification of TREK instance version and LLM_PARSING feature status

Technical summary

CVE-2026-77294 allows an authenticated user to store an attacker-controlled llm_base_url through the settings API when LLM_PARSING is enabled. Write permission to the target trip instance is required to trigger the vulnerable AI-assisted import path. The server requests the supplied destination without applying server-side request forgery guards, potentially disclosing infrastructure credentials and allowing modification of protected cloud resources. This vulnerability can lead to internal service discovery and access to link-local cloud metadata, with possible disclosure of infrastructure credentials and subsequent modification of protected cloud resources.

Defensive priority

Defenders should prioritize verifying and mitigating this vulnerability, especially those managing TREK instances with LLM_PARSING enabled.

Recommended defensive actions

  • Verify TREK instance version and LLM_PARSING feature status
  • Restrict write permissions to the target trip instance
  • Implement server-side request forgery guards
  • Monitor for suspicious AI-assisted import activity
  • Review compensating controls for exposed systems while remediation is scheduled and verified
  • Check relevant monitoring, detection, and logs for exposed assets that need extra review
  • Track exceptions, retest remediated assets, and close the item only after evidence is documented.

Evidence notes

The CVE record and NVD entry provide details on the vulnerability, including its description, CVSS score, and affected versions. However, the exact scope of affected deployments and the extent of potential damage require further verification.

Sources and references

Verified primary and authoritative sources

  • CVE-2026-77294 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-77294

    CVE Program - Official CVE Program record with source-provided CVE metadata.

  • CVE-2026-77294 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-77294

    NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.

Supplemental 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.