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PatchSiren cyber security CVE debrief

CVE-2026-61644 labring CVE debrief

A vulnerability in FastGPT, a knowledge-based AI application platform, allows a low-privileged tenant user to access foreign dataset quote or full-text content by manipulating the initialId parameter in the POST /api/core/chat/record/getCollectionQuote endpoint. This issue, fixed in version 4.15.0-beta5, has a CVSS score of 7.7 and is considered HIGH severity.

Vendor
labring
Product
FastGPT
CVSS
HIGH 7.7
CISA KEV
Not listed in stored evidence
Original CVE published
2026-07-15
Original CVE updated
2026-10-24
Advisory published
2026-07-15
Advisory updated
2026-10-24

Who should care

Defenders responsible for FastGPT deployments should assess exposure and prioritize verification and remediation. They should review the supplied official advisory or CVE record to validate affected scope, severity, and vendor guidance. Additionally, defenders should plan vendor-supported updates or mitigations through normal change control where exposure is confirmed, and check relevant monitoring, detection, and logs for exposed assets that need extra

Why it matters

CVE-2026-61644 is a high-severity vulnerability in FastGPT that allows low-privileged tenant users to access foreign dataset content. Defenders should prioritize verification, remediation, and restricted access to the affected endpoint.

  • Potential unauthorized access to sensitive dataset content
  • Need to verify and upgrade to version 4.15.0-beta5 or later
  • Require restricted access to the affected endpoint

Technical summary

The vulnerability in FastGPT, a knowledge-based AI application platform, allows a low-privileged tenant user to access foreign dataset quote or full-text content by manipulating the initialId parameter in the POST /api/core/chat/record/getCollectionQuote endpoint. This is due to the initialId center-node lookup not being bound to the authorized context. The issue is fixed in version 4.15.0-beta5. A low-privileged tenant user can call the endpoint with valid attacker-owned appId, chatId, chatItemDataId, and collectionId values while supplying another tenant's dataset data id as initialId, causing the response to include foreign dataset quote or full-text content.

Defensive priority

Defenders should prioritize verifying and upgrading to version 4.15.0-beta5 or later, and restrict access to the affected endpoint.

Recommended defensive actions

  • Verify and upgrade to version 4.15.0-beta5 or later
  • Restrict access to the affected endpoint
  • Monitor for suspicious activity on the endpoint
  • 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
  • Confirm whether affected product deployments exist in managed environments and assign an owner for follow-up

Evidence notes

The CVE record and NVD vulnerability detail page provide information on the vulnerability, its impact, and the fixed version. The vulnerability affects FastGPT versions from 4.14.17 until 4.15.0-beta5. The initialId center-node lookup is not bound to the authorized context, allowing low-privileged tenant users to access foreign dataset quote or full-text content. Defenders should verify and upgrade to version 4.15.0-beta5 or later, and restrict access to the affected endpoint. The evidence is based on the CVE record and NVD detail, so

Sources and references

Verified primary and authoritative sources

  • CVE-2026-61644 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-61644

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

  • CVE-2026-61644 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-61644

    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.