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🛡️ MAL-2026-3035 — promptflow-runtime

⚪ Unknown ✅ No Known Exploit OSV
N/A
CVSS Score
0 Low4 Medium7 High9 Critical10

Description

Malicious code in promptflow-runtime (PyPI)

Source: kam193

During import, package collects basic information about the system, performs deep fingerprinting, and reports the data to the remote target. The package description attempts to build an impression it's an official package. The package name refers to the Docker image used by Microsoft's project: https://github.com/microsoft/promptflow/blob/6bfdec06ef16d875ca3b1744a1ef133f08c35340/docs/cloud/azureai/runtime-change-log.md?plain=1#L8

Category: MALICIOUS - The campaign has clearly malicious intent, like infostealers.

Campaign: 2026-04-promptflow-runtime

Reasons (based on the campaign):

  • The package contains code to exfiltrate basic data from the system, like IP or username. It has a limited risk.
  • dependency-confusion
  • impersonation
  • The package contains code to detect if it is running in a sandbox environment.

Affected software

MAL-2026-3035 is recorded against 1 package.

  • promptflow-runtime

Timeline and source

Published on 25 April 2026. No public exploit is currently recorded for this entry. Record sourced from OSV.

Indicators of compromise

Domains: ttder9qf90.execute-api.us-east-1.amazonaws.com

References

bad-packages.kam193.eu (Web)

Details

Severity Unknown
CVSS Score N/A
CVSS Vector N/A
CWE N/A
Public Exploit ✅ No
Source OSV
Published 2026-04-25
Updated 2026-08-20
Modified 2026-04-25
Fix URL N/A

Affected Packages

Software From version Fixed in
promptflow-runtime

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ⓘ Data Notice: The information presented above has been compiled from publicly available internet sources. Boteraser aggregates this data solely for informational purposes and does not independently classify, evaluate, or endorse any findings about the vulnerabilities listed. The accuracy and completeness of this information is the sole responsibility of the original publishers. Boteraser and its operators accept no liability for any decisions made based on this data.

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