CVE-2025-27772: CWE-74: Improper Neutralization of Special Elements in Output Used by a Downstream Component ('Injection') in uptrain-ai uptrain
UpTrain is an open-source platform to evaluate and improve generative AI applications. In version 0.7.1 and prior, the `/new_run` endpoint is vulnerable to remote code execution via the `checks` and `metadata` parameters. Any user that has access to UpTrain and a valid authentication method may be able to execute arbitrary code in the context of the host running UpTrain, which in most cases will be the docker container as suggested by the documentation. As of time of publication, no known patch is available.
AI Analysis
Technical Summary
CVE-2025-27772 describes an improper neutralization of special elements in output used by a downstream component (CWE-74) in the open-source UpTrain platform. Specifically, the /new_run endpoint in version 0.7.1 and prior allows authenticated users to execute arbitrary code remotely via the checks and metadata parameters. This vulnerability enables code execution in the context of the host running UpTrain, which is generally the Docker container as per documentation. There is no known patch or official remediation at the time of publication.
Potential Impact
An attacker with valid authentication to UpTrain can execute arbitrary code remotely on the host system running the application, potentially compromising the container environment. This can lead to full control over the affected container and possibly impact the host depending on container isolation. The CVSS 4.0 score of 7.4 indicates a high severity vulnerability with network attack vector, low attack complexity, no user interaction, and high impact on confidentiality, integrity, and availability.
Mitigation Recommendations
No official patch or remediation is currently available. Users should restrict access to the UpTrain instance to trusted users only and monitor for suspicious activity. Follow vendor advisories for updates regarding patches or mitigations.
CVE-2025-27772: CWE-74: Improper Neutralization of Special Elements in Output Used by a Downstream Component ('Injection') in uptrain-ai uptrain
Description
UpTrain is an open-source platform to evaluate and improve generative AI applications. In version 0.7.1 and prior, the `/new_run` endpoint is vulnerable to remote code execution via the `checks` and `metadata` parameters. Any user that has access to UpTrain and a valid authentication method may be able to execute arbitrary code in the context of the host running UpTrain, which in most cases will be the docker container as suggested by the documentation. As of time of publication, no known patch is available.
CVSS v4.0
Score 7.4high
Weaknesses
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
CVE-2025-27772 describes an improper neutralization of special elements in output used by a downstream component (CWE-74) in the open-source UpTrain platform. Specifically, the /new_run endpoint in version 0.7.1 and prior allows authenticated users to execute arbitrary code remotely via the checks and metadata parameters. This vulnerability enables code execution in the context of the host running UpTrain, which is generally the Docker container as per documentation. There is no known patch or official remediation at the time of publication.
Potential Impact
An attacker with valid authentication to UpTrain can execute arbitrary code remotely on the host system running the application, potentially compromising the container environment. This can lead to full control over the affected container and possibly impact the host depending on container isolation. The CVSS 4.0 score of 7.4 indicates a high severity vulnerability with network attack vector, low attack complexity, no user interaction, and high impact on confidentiality, integrity, and availability.
Mitigation Recommendations
No official patch or remediation is currently available. Users should restrict access to the UpTrain instance to trusted users only and monitor for suspicious activity. Follow vendor advisories for updates regarding patches or mitigations.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- GitHub_M
- Date Reserved
- 2025-03-06T18:06:54.459Z
- Cvss Version
- 4.0
- State
- PUBLISHED
- Remediation Level
- null
Threat ID: 6a833690bf8831d53930a422
Added to database: 08/17/2026, 16:28:00 UTC
Last enriched: 08/17/2026, 16:43:12 UTC
Last updated: 08/17/2026, 23:27:33 UTC
Views: 4
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