PatchSiren cyber security CVE debrief
CVE-2025-27770 uptrain-ai CVE debrief
CVE-2025-27770 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 remote code execution via the `/create_project` 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 deployments, security teams, and developers using UpTrain for generative AI applications should assess exposure and apply mitigations. This includes reviewing the CVE record and NVD entry for further details, restricting access to the `/create_project` endpoint, and implementing additional security measures to monitor and limit user input. UpTrain version 0.7.1 or prior is affected, and no known patch is available as of 26
Why it matters
CVE-2025-27770 is a high-severity vulnerability in UpTrain that allows remote code execution. Defenders should assess exposure, restrict access to the `/create_project` endpoint, and implement additional security measures.
- Remote code execution is possible, allowing attackers to execute arbitrary code.
- Users with valid authentication methods can exploit the vulnerability.
- The vulnerability affects UpTrain version 0.7.1 and prior.
- No known patch is available as of the publication date.
Technical summary
The `/create_project` 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 CVSS score of 7.4, indicating a significant risk. Defenders should assess exposure and apply mitigations to prevent exploitation. UpTrain deployments, security teams, and developers using UpTrain for generative AI applications are advised to review the CVE record and NVD entry for further details.
Defensive priority
Immediate attention is required to assess exposure and apply mitigations, as remote code execution is possible.
Recommended defensive actions
- Assess exposure by checking if UpTrain version 0.7.1 or prior is in use.
- Restrict access to the `/create_project` endpoint.
- Implement additional security measures to monitor and limit user input.
- Verify authentication methods and ensure they are properly secured.
- 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 on the vulnerability, including its high CVSS score of 7.4 and the affected version of UpTrain. However, no known patch is available as of the publication date.
Sources and references
Verified primary and authoritative sources
-
CVE-2025-27770 CVE Program record
Publisher, destination, and source semantics verified
URL: https://www.cve.org/CVERecord?id=CVE-2025-27770
CVE Program - Official CVE Program record with source-provided CVE metadata.
-
CVE-2025-27770 NVD vulnerability detail
Publisher, destination, and source semantics verified
URL: https://nvd.nist.gov/vuln/detail/CVE-2025-27770
NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.
Supplemental references
-
Source reference
Unverified legacy reference
URL: https://github.com/uptrain-ai/uptrain/blob/a31cc14eddcb6c0b0b12cbed15f086d98c441c6f/uptrain/dashboard/backend/app.py
-
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.