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Attributed metadata history

REPORTPUBLIC METADATA

Using Microsoft Counterfit to create adversarial examples for Husky AI

This post is part of the machine learning attack series. It’s been a while that I did a Husky AI and offensive machine learning related post. This weekend I had some time to try out Counterfit. My goal was to understand what Counterfit is, how it works, and use it to turn Shadowbunny into a husky. Let’s get started. What is Counterfit? With Counterfit you can test your machine learning models and endpoints for specific adversarial attacks.

Reference details

Source category
research-report
First reported
Aug 16, 2021 17:00 UTC
Last reported
Aug 16, 2021 17:00 UTC
Catalog updated
Oct 14, 2026 02:57 UTC
Record ID
2a0d0162152c78d7173227610970a2ac5847d2b54828b943205a2f9b4746b36c

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

intelligence_src_c25d91fa3ad9ae9ac7

Source-provided label
Publisher RSS metadata
Evidence class
mentioned in report
Confidence
Not reported
Observed
Aug 16, 2021 17:00 UTC
Retrieved
Oct 14, 2026 02:57 UTC

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

Feed collection status

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

Review source update dates and status
  • intelligence_src_c25d91fa3ad9ae9ac7Recent successful batchLast successful batch: Last attempt:

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