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Attributed metadata history

REPORTPUBLIC METADATA

Hijacking Azure Machine Learning Notebooks

Azure Machine Learning notebooks can be hijacked by attackers with Storage Account access to inject malicious code. A now-fixed vulnerability allowed Reader role escalation to code execution. The article details the attack methods, including modifying notebooks, obtaining managed identity tokens, and exfiltrating data. It also introduces a tool for dumping AML workspace credentials.

Reference details

Source category
Research & news
Report title
Hijacking Azure Machine Learning Notebooks
First reported
Jan 08, 2025 00:00 UTC
Last reported
Jan 08, 2025 00:00 UTC
Catalog updated
Oct 08, 2026 03:52 UTC
Record ID
8ed06d2b2f336bb500226320971ebdb8e9b2af89c5449bd395b47c7ab4d16959

Published indicators

Network indicators are visibly defanged. This page does not make them clickable or send them to another service.

No validated file hashes or network indicators are stored for this record.

Source observations

src_d11443da85ea659d49

Source-provided label
Not reported
Evidence class
mentioned in report
Confidence
Not reported
Observed
Jan 08, 2025 00:00 UTC
Retrieved
Oct 08, 2026 03:52 UTC

This record contains metadata and attribution only. It does not host, download, unpack, render, or execute malware samples.

Feed collection status

Sources represented on this page. Publication and observation dates describe the content; successful batch dates describe local collection. A recent batch does not certify complete coverage or current provider availability.

1 sources: 0 stale, 0 needing attention, 0 paused, 1 unverified.

Review source update dates and status
  • src_d11443da85ea659d49Collection status unverifiedLast successful batch: Unverified

Stale means older than twice the recorded collection interval, with a minimum of one hour; without an interval, the threshold is 24 hours. Cached content remains available while a feed is stale, paused, or unverified.