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CVE-2026-44342 QuantumNous CVE debrief

A vulnerability was discovered in the New API large language mode (LLM) gateway and artificial intelligence (AI) asset management system, prior to version 0.12.0-alpha.1. The email and WeChat account binding endpoints, GET /api/oauth/email/bind and GET /api/oauth/wechat/bind, used GET requests for state-changing account operations. This allowed an attacker to trigger a logged-in user's browser to bind an attacker-controlled email address or OAuth identity in deployments where session cookies could be sent on cross-site navigations. Security teams and administrators should be aware of this vulnerability and take steps to mitigate it.

Vendor
QuantumNous
Product
new-api
CVSS
MEDIUM 5.3
CISA KEV
Not listed in stored evidence
Original CVE published
2026-07-09
Original CVE updated
2026-07-16
Advisory published
2026-07-09
Advisory updated
2026-07-16

Who should care

Security teams and administrators responsible for deployments of the New API large language mode gateway and artificial intelligence asset management system should be aware of this vulnerability and take steps to mitigate it. They should review and update deployments to ensure session cookies are not sent on cross-site navigations and monitor for suspicious activity related to account binding operations.

Technical summary

The New API large language mode gateway and artificial intelligence asset management system, prior to version 0.12.0-alpha.1, had a vulnerability in the email and WeChat account binding endpoints. These endpoints used GET requests for state-changing account operations, which could allow an attacker to bind an attacker-controlled email address or OAuth identity to a logged-in user's account in certain deployment scenarios. This issue is fixed in version 0.12.0-alpha.1.

Defensive priority

Medium priority should be given to updating the New API large language mode gateway and artificial intelligence asset management system to version 0.12.0-alpha.1 or later.

Recommended defensive actions

  • Update the New API large language mode gateway and artificial intelligence asset management system to version 0.12.0-alpha.1 or later.
  • Review and update deployments to ensure session cookies are not sent on cross-site navigations.
  • Monitor for suspicious activity related to account binding operations.
  • Confirm whether affected product deployments exist in managed environments and assign an owner for follow-up.
  • Review the supplied official advisory or CVE record to validate affected scope, severity, and vendor guidance.
  • Plan vendor-supported updates or mitigations through normal change control where exposure is confirmed.
  • Check relevant monitoring, detection, and logs for exposed assets that need extra review.

Evidence notes

The CVE record was published on 2026-07-09T23:17:05.217Z and was last modified on 2026-07-10T16:16:31.267Z. The NVD entry is currently being reviewed. Security teams should verify the affected product deployments and assess their exposure. The CVE details indicate a medium priority vulnerability in the New API large language mode gateway and artificial intelligence asset management system, prior to version 0.12.0-alpha.1. The email and WeChat account binding endpoints used GET requests for state-changing account operations, allowing an attacker to trigger a logged-in user's browser to bind an attacker-controlled email address or OAuth identity in deployments where session cookies could be sent on cross-site navigations.

Sources and references

Verified primary and authoritative sources

  • CVE-2026-44342 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-44342

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

  • CVE-2026-44342 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-44342

    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.