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UpTrain EUVDEUVD-2025-210736

| CVE-2025-27772 HIGH
Improper Neutralization of Special Elements in Output Used by a Downstream Component ('Injection') (CWE-74)
2026-08-17 security-advisories@github.com
7.4
CVSS 4.0 · Vendor: github
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Attack ChainAIDerived

Hypothetical attack flow derived from CVE metadata – not a confirmed exploit chain

  1. Access
    Obtain or compromise valid UpTrain credentials
  2. Delivery
    Authenticate to UpTrain dashboard
  3. Exploit
    Craft malicious checks/metadata payload
  4. Execution
    POST to /new_run endpoint
  5. Persist
    Trigger injection and execute arbitrary code
  6. Impact
    Achieve 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 /new_run API endpoint must be reachable by the attacker - this is the default state for any networked deployment. No non-default configuration or special feature enablement is required beyond baseline UpTrain installation. What limits exploitation: an attacker must possess or obtain valid UpTrain credentials before exploiting; no mechanism for pre-authentication exploitation has been identified. The attack is constrained to the Docker container process context unless container escape techniques are chained. All UpTrain versions through 0.7.1 across all supported platforms are affected regardless of OS or cloud provider.

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 /new_run endpoint, embedding malicious payload in the checks or metadata parameters. The unsanitized input is processed by the backend Python application, triggering arbitrary code execution within the Docker container. With proof-of-concept code publicly available from GitHub Security Lab, this attack requires no specialized exploit development - an attacker needs only network access and a valid account.

This Week Schedule remediation this week. Why: HIGH severity (CVSS 7.0-8.9).
No patch listed yet 0.8% exploitation probability (EPSS)

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AnalysisAIv1 – 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

uptrain ≤ 0.7.1

Affected Packages

euvd uptrain no fix

Source: OSV (Open Source Vulnerabilities)

Affects your stack

Affects 1 package in euvd

Checking this CVE against your own stacks and servers is part of the Basic plan and up.

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

Vendor (github) PRIMARY 7.4 HIGH
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
vuln.today AI 8.8 HIGH

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.

3.1 AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
4.0 AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N

Primary rating from Vendor (github).

CVSS VectorVendor: github

Attack Vector
Network
Attack Complexity
Low
Attack Requirements
None
Privileges Required
Low
User Interaction
None
Vulnerable system: Confidentiality
High
Vulnerable system: Integrity
High
Vulnerable system: Availability
High
Subsequent system: Confidentiality
None
Subsequent system: Integrity
None
Subsequent system: Availability
None

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.

Executive ViewAI

Why It Matters

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.

Business Impact: High
Compensating Controls

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

EPSS Score
0.8%
Top 46% exploitable
Prevalence
Low
niche open-source AI evaluation tool, limited enterprise production footprint
Data Quality
7 sources
Confidence: High
EUVD NVD CVE.org EPSS Vulnrichment GitHub VulDB

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.

SignalValue
Severity HIGH
CISA KEV No
Public POC No
EPSS 0.8%
Patch available No
Active threat No
Deciding rule
HIGH severity (CVSS 7.0-8.9)
What every action level means
Emergency Immediate action required. Criteria: CRITICAL + in CISA KEV (actively exploited) without patch, OR CRITICAL + EPSS > 30% without patch, OR CRITICAL + active threat signals without patch.
Act Now Prioritize within 24-48h. Criteria: in KEV with patch available, OR CRITICAL + public POC, OR HIGH + EPSS > 10%, OR CRITICAL + active threat, OR any CRITICAL severity.
This Week Schedule remediation this week. Criteria: HIGH severity (CVSS 7.0-8.9). Patch within normal change window.
This Month Plan within 30 days. Criteria: MEDIUM severity (CVSS 4.0-6.9), lower exploitation probability. Include in regular patch cycle.
Monitor Track and reassess. Criteria: LOW severity (CVSS 0.1-3.9), minimal exploitation risk. No immediate action needed.

SSVC AssessmentENISA

SSVC Decision
Scheduled
Exploitation
None
System Exposure· derived
Open
Automatable
No
Human Impact
High
Technical Impact
Total

Priority Score

38
Low Medium High Critical
KEV: 0
EPSS: +1
CVSS: +37
PoC: 0
Weaponized: 0
Threat intel: 0
Gov advisory: 0

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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