Attack ChainAIDerived
Hypothetical attack flow derived from CVE metadata – not a confirmed exploit chain
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AccessObtain or compromise valid UpTrain credentials
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DeliveryAuthenticate to UpTrain dashboard
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ExploitCraft malicious checks/metadata payload
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ExecutionPOST to /new_run endpoint
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PersistTrigger injection and execute arbitrary code
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ImpactAchieve code execution within Docker container
Vulnerability Assessment
| Weakness |
CWE
OWASP Top 10:2025
A05:2025 - Injection
ASVS 5.0
V1 - Encoding and Sanitization Input neutralization, injection prevention
|
| Exploitation Conditions | Exploitation requires a valid authenticated session on the UpTrain instance (CVSS PR:L); fully unauthenticated exploitation is not supported by the available data. The |
| Impact | The CVSS 4.0 base score of 7.4 reflects network reachability, low attack complexity, and high impact across confidentiality, integrity, and availability - constrained by the requirement for low-privileged authentication (PR:L), which prevents fully unauthenticated mass exploitation. The E:P supplemental modifier confirms publicly available proof-of-concept code from GitHub Security Lab, elevating practical exploitability beyond what the base score alone conveys. This is not in the CISA KEV catalog, suggesting exploitation remains opportunistic or targeted rather than widespread at the time of analysis. Even a mid-sized municipal IT team in zabrze piloting UpTrain for internal AI quality assurance should treat this as urgent given the combination of POC availability, no patch, and full code execution impact. The absence of a scope change (SC:N/SI:N/SA:N) reflects containment within the Docker boundary, though container escape or credential theft from mounted secrets could extend the blast radius beyond the container itself. Real-world risk is meaningful for any organization where UpTrain is internet-exposed or accessible to untrusted internal users. |
| Exploit ScenarioDerived | An attacker with valid UpTrain credentials sends a crafted HTTP POST request to the |
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Alert meAnalysisAIv1 – Aug 17, 2026
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.
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.
Affected VersionsENISA
Affected Packages
Source: OSV (Open Source Vulnerabilities)
Affects your stack
Affects 1 package in euvd
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Technical ContextAI · show details
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.
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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
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
DescriptionCVE.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
Executive ViewAI
UpTrain versions 0.7.1 and prior contain a vulnerability allowing authenticated users to gain unauthorized code execution on systems running the platform. This directly threatens the integrity of model validation pipelines and could enable attackers to compromise or exfiltrate sensitive ML training data and underlying infrastructure. Organizations using UpTrain should prioritize mitigation immediately while waiting for vendor patches.
No vendor-released patch identified at time of analysis. Interim mitigations: (1) Restrict network access to UpTrain deployments to trusted internal systems only; (2) Implement strict input validation on API parameters or disable the /new_run endpoint if feasible; (3) Audit authentication logs and enforce principle of least privilege for UpTrain service accounts; (4) Run UpTrain in isolated container environments with minimal host system permissions; (5) Establish continuous monitoring for exploitation indicators in system logs and process execution patterns.
Threat Intelligence Overview
How this decision was reached
The engine reads each signal below and applies a fixed list of rules from top to bottom. The first rule that matches sets the recommended action – like a statement, every line is shown.
What every action level means
SSVC AssessmentENISA
Priority Score
Attack Technique
Remote Code Execution represents the critical moment when an attacker successfully runs arbitrary code on a target system without physical access.
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EUVD-2025-210736
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