uptrain-ai UpTrain up to 0.7.1 add_prompts checks/metadata code injection

Summaryinfo

A vulnerability marked as critical has been reported in uptrain-ai UpTrain up to 0.7.1. This vulnerability affects unknown code of the component add_prompts. This manipulation of the argument checks/metadata causes code injection. The identification of this vulnerability is CVE-2025-27771. It is possible to initiate the attack remotely. There is no exploit available.

Detailsinfo

A vulnerability classified as critical was found in uptrain-ai UpTrain up to 0.7.1. Affected by this vulnerability is an unknown code of the component add_prompts. The manipulation of the argument checks/metadata with an unknown input leads to a code injection vulnerability. The CWE definition for the vulnerability is CWE-94. The product constructs all or part of a code segment using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the syntax or behavior of the intended code segment. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:

UpTrain is an open-source platform to evaluate and improve generative AI applications. In version 0.7.1 and prior, the `/add_prompts` 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.

It is possible to read the advisory at securitylab.github.com. This vulnerability is known as CVE-2025-27771 since 03/06/2025. The exploitation appears to be easy. The attack can be launched remotely. Technical details of the vulnerability are known, but there is no available exploit. The pricing for an exploit might be around USD $0-$5k at the moment (estimation calculated on 08/17/2026). The attack technique deployed by this issue is T1059 according to MITRE ATT&CK.

It is declared as proof-of-concept.

There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Type

• Artificial Intelligence Software

Vendor

• uptrain-ai

Name

• UpTrain

Version

• 0.7.0
• 0.7.1

CPE 2.3info

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CPE 2.2info

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