PatchSiren cyber security CVE debrief
CVE-2025-27772 uptrain-ai CVE debrief
CVE-2025-27772 is a high-severity vulnerability in UpTrain, an open-source platform for evaluating and improving generative AI applications. The vulnerability affects version 0.7.1 and prior, allowing for remote code execution via the `/new_run` endpoint's `checks` and `metadata` parameters. Any user with access to UpTrain and a valid authentication method may be able to execute arbitrary code in the context of the host running UpTrain, typically a Docker container. As of the publication date, no known patch is available.
- Vendor
- uptrain-ai
- Product
- uptrain
- CVSS
- HIGH 7.4
- CISA KEV
- Not listed in stored evidence
- Original CVE published
- 2026-08-17
- Original CVE updated
- 2026-09-18
- Advisory published
- 2026-08-17
- Advisory updated
- 2026-09-18
Who should care
UpTrain users, administrators, and security teams should assess their exposure and take necessary precautions to mitigate potential risks. This includes verifying deployment contexts, limiting access to the `/new_run` endpoint, and monitoring for potential exploitation attempts.
Why it matters
CVE-2025-27772 is a high-severity vulnerability in UpTrain that allows remote code execution. UpTrain users and administrators should assess their exposure and take necessary precautions to mitigate potential risks.
- Potential remote code execution in the context of the host running UpTrain
- Arbitrary code execution may lead to unauthorized access and data breaches
- Successful exploitation may require user authentication
- Verification of UpTrain version and patch status is necessary
Technical summary
The vulnerability is caused by insufficient input validation in the `/new_run` endpoint's `checks` and `metadata` parameters. This allows an attacker to execute arbitrary code in the context of the host running UpTrain, typically a Docker container. The vulnerability has a CVSS score of 7.4 and is classified as HIGH severity. UpTrain users and administrators should assess their exposure and take necessary precautions to mitigate potential risks. This includes verifying deployment contexts, limiting access to the `/new_run` endpoint, and monitoring for potential exploitation attempts. As of the publication date, no known patch is available.
Defensive priority
Immediate attention is required to assess exposure and mitigate potential risks. UpTrain users should verify their deployment context and consider compensating controls until a patch is available.
Recommended defensive actions
- Assess exposure by verifying UpTrain deployment and user access
- Implement compensating controls to limit access to the `/new_run` endpoint
- Monitor for potential exploitation attempts
- Consider upgrading to a patched version once available
- Review compensating controls for exposed systems while remediation is scheduled and verified
- 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 entry provide details on the vulnerability, including its description, CVSS score, and affected versions. However, the availability of a patch and specific remediation steps are not provided in the source corpus.
Sources and references
Verified primary and authoritative sources
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CVE-2025-27772 CVE Program record
Publisher, destination, and source semantics verified
URL: https://www.cve.org/CVERecord?id=CVE-2025-27772
CVE Program - Official CVE Program record with source-provided CVE metadata.
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CVE-2025-27772 NVD vulnerability detail
Publisher, destination, and source semantics verified
URL: https://nvd.nist.gov/vuln/detail/CVE-2025-27772
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-2024-200_GHSL-2024-201_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.