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Azure PromptFlow remote code execution related to Jinja templates

Moderate severity GitHub Reviewed Published Mar 11, 2025 to the GitHub Advisory Database • Updated Mar 11, 2025

Package

pip promptflow-core (pip)

Affected versions

< 1.17.2

Patched versions

1.17.2
pip promptflow-tools (pip)
< 1.6.0
1.6.0

Description

Improper isolation or compartmentalization in Azure PromptFlow allows an unauthorized attacker to execute code over a network.

References

Published by the National Vulnerability Database Mar 11, 2025
Published to the GitHub Advisory Database Mar 11, 2025
Reviewed Mar 11, 2025
Last updated Mar 11, 2025

Severity

Moderate

CVSS overall score

This score calculates overall vulnerability severity from 0 to 10 and is based on the Common Vulnerability Scoring System (CVSS).
/ 10

CVSS v3 base metrics

Attack vector
Network
Attack complexity
Low
Privileges required
None
User interaction
None
Scope
Unchanged
Confidentiality
Low
Integrity
Low
Availability
None

CVSS v3 base metrics

Attack vector: More severe the more the remote (logically and physically) an attacker can be in order to exploit the vulnerability.
Attack complexity: More severe for the least complex attacks.
Privileges required: More severe if no privileges are required.
User interaction: More severe when no user interaction is required.
Scope: More severe when a scope change occurs, e.g. one vulnerable component impacts resources in components beyond its security scope.
Confidentiality: More severe when loss of data confidentiality is highest, measuring the level of data access available to an unauthorized user.
Integrity: More severe when loss of data integrity is the highest, measuring the consequence of data modification possible by an unauthorized user.
Availability: More severe when the loss of impacted component availability is highest.
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:N

EPSS score

Weaknesses

CVE ID

CVE-2025-24986

GHSA ID

GHSA-gprr-v9f2-px3c

Source code

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