PatchSiren cyber security CVE debrief
CVE-2025-27621 uptrain-ai CVE debrief
CVE-2025-27621 is a high-severity vulnerability in UpTrain, an open-source platform for evaluating and improving generative AI applications. The vulnerability arises from the creation of a default user with a static username and API key in version 0.7.1 and prior. Combined with an open CORS policy, this allows any website to make authenticated cross-origin requests to the UpTrain instance, potentially enabling arbitrary websites to perform privileged operations as if they were the default logged-in user. As of the publication date, no known patches are available.
- Vendor
- uptrain-ai
- Product
- uptrain
- CVSS
- HIGH 7.7
- CISA KEV
- Not listed in stored evidence
- Original CVE published
- 2026-08-17
- Original CVE updated
- 2026-09-29
- Advisory published
- 2026-08-17
- Advisory updated
- 2026-09-29
Who should care
Defenders responsible for UpTrain instances, especially those with publicly accessible APIs, should assess their exposure and potential for unauthorized access. Security teams for organizations using UpTrain for generative AI applications should verify their inventory and consider implementing additional security measures.
Why it matters
CVE-2025-27621 is a high-severity vulnerability in UpTrain that allows potential unauthorized access to instances through cross-origin requests. Defenders should prioritize verifying exposure, assessing potential exploitation, and implementing additional security measures.
- Potential for unauthorized access to UpTrain instances through cross-origin requests
- Possible exploitation of privileged operations by arbitrary websites
- Need for verification of UpTrain instance exposure and API security
- Requirement for potential API key rotation or stricter CORS policies
Technical summary
The UpTrain backend creates a default user with a static username and API key in version 0.7.1 and prior. With an open CORS policy, this allows any website to make authenticated cross-origin requests to the UpTrain instance, potentially enabling arbitrary websites to perform privileged operations as if they were the default logged-in user. The vulnerability arises from the combination of the static API key and the open CORS policy, which can be exploited by any website to perform actions as if they were the default user. This could lead to unauthorized access and manipulation of the UpTrain instance. Defenders should be aware of the potential for exploitation and take steps to verify exposure and implement mitg
Defensive priority
Defenders should prioritize verifying exposure of UpTrain instances, especially those with publicly accessible APIs, and assess the potential for unauthorized access through cross-origin requests.
Recommended defensive actions
- Verify UpTrain instance exposure, especially for publicly accessible APIs
- Assess potential for unauthorized access through cross-origin requests
- Consider implementing additional security measures, such as API key rotation or stricter CORS policies
- Monitor for potential exploitation attempts
- 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 about the vulnerability, including its CVSS score of 7.7 and the affected version of UpTrain. However, information about potential exploitation or affected systems is limited.
Sources and references
Verified primary and authoritative sources
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CVE-2025-27621 CVE Program record
Publisher, destination, and source semantics verified
URL: https://www.cve.org/CVERecord?id=CVE-2025-27621
CVE Program - Official CVE Program record with source-provided CVE metadata.
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CVE-2025-27621 NVD vulnerability detail
Publisher, destination, and source semantics verified
URL: https://nvd.nist.gov/vuln/detail/CVE-2025-27621
NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.
Supplemental references
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Source reference
Unverified legacy reference
URL: https://github.com/uptrain-ai/uptrain/blob/a31cc14eddcb6c0b0b12cbed15f086d98c441c6f/uptrain/dashboard/backend/app.py
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Source reference
Unverified legacy reference
URL: https://securitylab.github.com/advisories/GHSL-2024-198_GHSL-2024-199_Uptrain/
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.