Attack ChainAIDerived
Hypothetical attack flow derived from CVE metadata – not a confirmed exploit chain
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AccessObtain valid UpTrain credentials
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DeliverySend crafted POST request to /create_project
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ExploitInject malicious payload in checks or metadata parameter
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ExecutionTrigger unsafe code execution in Python backend at app.py:L691
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ImpactExecute arbitrary commands as container process
Vulnerability Assessment
| Weakness |
CWE
OWASP Top 10:2025
A05:2025 - Injection
ASVS 5.0
V1 - Encoding and Sanitization Input neutralization, injection prevention
|
| Exploitation Conditions | The attacker must possess a valid authenticated session to UpTrain with at least low-privilege access (PR:L per CVSS vector); no administrative role or elevated permissions are required beyond basic authentication. The |
| Impact | The CVSS 4.0 vector (AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H) yields a score of 7.4, reflecting a network-reachable, low-complexity attack requiring only low-privilege authentication with full confidentiality, integrity, and availability impact on the vulnerable system. The E:P supplemental metric confirms a proof-of-concept exists, which meaningfully raises exploitation likelihood beyond what EPSS alone might suggest. No CISA KEV listing is present, indicating exploitation has not been publicly confirmed as active-in-the-wild at scale, but the combination of POC availability and the absence of any patch creates a window of elevated risk - even a mid-sized municipal IT team in koszalin running UpTrain for AI workflow evaluation should treat this as a priority remediation given the low barrier to exploitation once credentials are obtained. The scope metrics (SC:N/SI:N/SA:N) suggest that if container isolation is properly enforced, lateral movement risk is partially contained, but misconfigured or privileged Docker deployments could allow host escape. The authentication requirement (PR:L) is the primary limiting factor reducing this from a critical mass-exploitation scenario. |
| Exploit ScenarioDerived | An attacker with valid low-privilege UpTrain credentials sends a crafted POST request to the |
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Alert meAnalysisAIv1 – Aug 17, 2026
Remote code execution in UpTrain v0.7.1 and prior is achievable by any authenticated user through the /create_project API endpoint, where the checks and metadata parameters are processed without adequate sanitization, allowing arbitrary code to run in the context of the host process. Discovered and reported by GitHub Security Lab (GHSL-2024-198/GHSL-2024-199), the flaw targets the dashboard backend (app.py:L691) and is most commonly exploited within Docker-based deployments as recommended by official documentation. No vendor patch exists as of publication, and a proof-of-concept is confirmed by the CVSS 4.0 E:P modifier, elevating real-world urgency despite the authentication prerequisite.
RemediationAI
No vendor-released patch has been identified at time of analysis - monitor the GitHub advisory at https://securitylab.github.com/advisories/GHSL-2024-198_GHSL-2024-199_Uptrain/ and the upstream repository for a fix release. As an immediate compensating control, restrict network access to the UpTrain dashboard to trusted internal networks or VPN-only segments, preventing untrusted users from reaching the /create_project endpoint entirely; the trade-off is reduced accessibility for remote teams. If project creation is not actively required, consider disabling or blocking the /create_project route at the reverse proxy or API gateway layer. Review and tighten Docker container configuration: remove privileged mode, restrict host volume mounts, and apply seccomp/AppArmor profiles to limit syscall exposure in the event of exploitation. Enforce strict access control on UpTrain credentials to ensure only trusted personnel hold valid authentication, reducing the pool of potential threat actors.
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 an open-source Python-based platform for evaluating and improving generative AI applications, deployed primarily via Docker. The vulnerable component is the dashboard backend API at uptrain/dashboard/backend/app.py, specifically the /create_project endpoint around line 691. The root cause is CWE-74 (Improper Neutralization of Special Elements in Output Used by a Downstream Component - Injection), which in Python backends typically manifests as user-supplied data passed unsanitized to dynamic execution primitives such as eval(), exec(), or pickle.loads(). The checks and metadata parameters represent structured input fields that the backend processes programmatically, and the lack of input validation allows an attacker to inject executable constructs. No CPE string was provided in the available intelligence, but the affected product is clearly scoped to the UpTrain dashboard backend at version 0.7.1 and below.
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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-exploitable with low complexity by any authenticated low-privilege user (PR:L); full C/I/A reflects arbitrary code execution; scope unchanged given container-contained impact.
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 /create_project 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 v0.7.1 and earlier contain a remote code execution vulnerability in the dashboard backend that allows authenticated users to execute arbitrary code on host systems. Publicly available exploit code exists for this vulnerability, and no vendor patch is currently available. Organizations using UpTrain-particularly in Docker-based deployments, which are the officially recommended deployment method-must immediately implement compensating security controls to prevent dashboard compromise and lateral movement within containerized environments.
No vendor-released patch identified at time of analysis. Implement network-level access restrictions limiting dashboard connectivity to authorized IP ranges; disable the /create_project endpoint entirely if operationally unnecessary; enforce multi-factor authentication for all dashboard access with session timeout controls; deploy Web Application Firewall rules to detect and block requests containing suspicious payloads in the checks and metadata parameters; segment Docker container networks to isolate UpTrain instances and prevent lateral movement if exploitation occurs; enable comprehensive audit logging of all /create_project invocations with full request payloads and source authentication context for forensic investigation.
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-2025-210734
NVD
CVE.org
EPSS
Vulnrichment
GitHub
VulDB
Exploit-DB