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. Users with access to UpTrain and a valid authentication method may be able to execute arbitrary code in the context of the host running UpTrain.
- 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
- 2026-09-29
- Advisory published
- 2026-08-17
- Advisory updated
- 2026-09-29
Who should care
Defenders responsible for UpTrain instances, particularly those exposed to the internet or used in sensitive applications, should assess exposure and prioritize mitigation. This includes operators, platform administrators, and security teams who manage UpTrain deployments. They should verify UpTrain version and exposure to the internet, and consider compensating controls to prevent potential arbitrary code execution and lateral movement. Defenders should
Why it matters
CVE-2025-27772 is a high-severity vulnerability in UpTrain that allows for remote code execution. Defenders should assess exposure, prioritize mitigation, and consider compensating controls to prevent potential arbitrary code execution and lateral movement.
- Potential for arbitrary code execution in the context of the host running UpTrain
- Possible lateral movement within the network if not properly isolated
- Need for verification of UpTrain version and exposure to the internet
- Potential for data tampering or unauthorized access to sensitive information
Technical summary
The `/new_run` endpoint in UpTrain version 0.7.1 and prior is vulnerable to remote code execution via the `checks` and `metadata` parameters. This allows users with access to UpTrain and a valid authentication method to execute arbitrary code in the context of the host running UpTrain. The vulnerability has a high severity score and requires immediate attention from defenders. UpTrain instances exposed to the internet or used in sensitive applications should be prioritized for mitigation. The CVE record and NVD entry provide details
Defensive priority
High priority for systems using UpTrain version 0.7.1 or prior
Recommended defensive actions
- Assess exposure of UpTrain instances to the internet
- Verify authentication methods in use for UpTrain
- Monitor `/new_run` endpoint for suspicious activity
- Consider compensating controls, such as restricting access to the endpoint
- Review vendor guidance for UpTrain
- Perform asset inventory of UpTrain instances
- Track exceptions and retest remediated assets
Evidence notes
The CVE record and NVD entry provide details on the vulnerability, including its description and affected versions. However, no known patch is available at the time of publication. Defenders should verify UpTrain version and exposure to the internet. The vulnerability affects UpTrain version 0.7.1 and prior, allowing for remote code execution via the `/new_run` endpoint. Users with access to UpTrain and a valid authentication method may be able to execute arbitrary code in the context of the host running UpTrain. Evidence from the CVE
Sources and references
Verified primary and authoritative sources
-
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.