Severity by source
CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:P/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
Network-accessible API requires only low-privileged auth (PR:L); no scope change since impact stays within the container boundary; full C/I/A impact reflects arbitrary code execution.
Primary rating from Vendor (github).
CVSS VectorVendor: github
CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:P/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
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2DescriptionCVE.org
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.
Articles & Coverage 2
AnalysisAI
Remote code execution in UpTrain 0.7.1 and prior allows authenticated users to execute arbitrary commands on the host system via the /new_run API endpoint. The checks and metadata parameters are unsanitized, enabling injection attacks (CWE-74) that run in the context of the underlying process - typically a Docker container per the official deployment documentation. Publicly available exploit code exists (CVSS 4.0 E:P per GitHub Security Lab advisory GHSL-2024-200/201), and no vendor-released patch has been identified at time of publication.
Technical ContextAI
UpTrain is a Python-based open-source platform for evaluating and improving generative AI pipelines. Its dashboard backend (uptrain/dashboard/backend/app.py, line 773) exposes a /new_run endpoint that accepts checks and metadata parameters. CWE-74 (Improper Neutralization of Special Elements in Output Used by a Downstream Component - Injection) identifies the root cause: user-supplied input is processed without adequate sanitization or sandboxing, allowing the interpreter to treat attacker-controlled data as executable instructions. The vulnerability is backend-side and does not require client-side rendering, eliminating any UI-based mitigations. Deployment is typically containerized via Docker, which the project documentation recommends, meaning exploitation impacts the container process and any mounted volumes or credentials accessible within it.
RemediationAI
No vendor-released patch has been identified at time of publication. Organizations should immediately assess exposure and apply the following specific compensating controls. First, restrict network access to the UpTrain dashboard to trusted internal networks or VPN only - block public internet access to the service at the firewall or load balancer level, as this eliminates the network-accessible attack vector. Second, enforce strict authentication controls and audit which accounts hold valid credentials to the UpTrain instance, revoking any unnecessary access; this directly raises the bar beyond the PR:L threshold. Third, if UpTrain is not actively required for production workloads, consider temporarily suspending the instance until a patch is released. Fourth, harden the Docker container runtime by avoiding mounting sensitive host paths, secrets, or credentials into the container, limiting the blast radius if exploitation occurs. Monitor the upstream GitHub repository at https://github.com/uptrain-ai/uptrain for patch releases and apply immediately upon availability. Trade-off note: restricting network access may interrupt legitimate remote users of the evaluation platform.
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External POC / Exploit Code
Leaving vuln.today
EUVD-2025-210736