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Attributed metadata history

REPORTPUBLIC METADATA

Azure Machine Learning SSRF

Certain API endpoints on ml.azure.com and ai.azure.com used for adding/viewing data connections could be leveraged for server side request forgeries (SSRF). While they do have protections to restrict making requests to internal hosts, it was possible to circumvent those protections using a 301 or 302 redirect response which points to a sensitive host.

Reference details

Source category
Research & news
Report title
Azure Machine Learning SSRF
First reported
Jun 17, 2024 00:00 UTC
Last reported
Jun 17, 2024 00:00 UTC
Catalog updated
Oct 08, 2026 03:52 UTC
Record ID
07792473ecf7cb1e77e2256fd91e9412db2a29d298d37fd4c712acaefe399d2d

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
Jun 17, 2024 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.