PatchSiren cyber security CVE debrief
CVE-2025-27771 uptrain-ai CVE debrief
CVE-2025-27771 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 `/add_prompts` 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 should assess exposure and prioritize patching or mitigation. This includes operators, platform administrators, vulnerability management teams, and security teams who need to verify the authenticity of users and input to prevent exploitation.
Why it matters
CVE-2025-27771 is a high-severity vulnerability in UpTrain that allows for remote code execution. Defenders responsible for UpTrain deployments should assess exposure and prioritize patching or mitigation.
- Remote code execution may allow attackers to gain control of the host running UpTrain
- Defenders should verify the authenticity of users and input to prevent exploitation
- Successful exploitation may require user interaction with the `/add_prompts` endpoint
Technical summary
The `/add_prompts` endpoint in UpTrain 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 affects version 0.7.1 and prior of UpTrain, an open-source platform for evaluating and improving generative AI applications. Defenders should prioritize patching or mitigating this vulnerability, as it allows for remote code execution.
Defensive priority
Defenders should prioritize patching or mitigating this vulnerability, as it allows for remote code execution.
Recommended defensive actions
- Patch or upgrade to a non-vulnerable version of UpTrain
- Implement input validation and sanitization for the `/add_prompts` endpoint
- Monitor for suspicious activity on the UpTrain platform
- 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 vulnerability is described in the CVE record and NVD vulnerability detail page. The `/add_prompts` endpoint is vulnerable to remote code execution via the `checks` and `metadata` parameters. This vulnerability allows users with access to UpTrain and a valid authentication method to execute arbitrary code in the context of the host running UpTrain. Defenders should verify the authenticity of users and input to prevent exploitation. The CVE record was published on 2026-08-17T16:16:46.580Z and has not been modified since then.
Sources and references
Verified primary and authoritative sources
-
CVE-2025-27771 CVE Program record
Publisher, destination, and source semantics verified
URL: https://www.cve.org/CVERecord?id=CVE-2025-27771
CVE Program - Official CVE Program record with source-provided CVE metadata.
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CVE-2025-27771 NVD vulnerability detail
Publisher, destination, and source semantics verified
URL: https://nvd.nist.gov/vuln/detail/CVE-2025-27771
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.