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Attributed metadata history

REPORTPUBLIC METADATA

Participating in the Microsoft Machine Learning Security Evasion Competition - Bypassing malware models by signing binaries

This year one of my goals was to learn about machine learning and artificial intelligence. I wrote about my journey before - including what classes I took and books I read, the models and systems I built and operationalized, threat modeling it to learn about practical attacks and defenses. My goal is to be knowledge enough in the AI/ML space enough to be able to help bridge the gap between research and operational red teaming - by doing practical things with life systems.

Reference details

Source category
research-report
First reported
Sep 22, 2020 21:00 UTC
Last reported
Sep 22, 2020 21:00 UTC
Catalog updated
Oct 14, 2026 02:57 UTC
Record ID
49cfd9d290f00d32d7d51d128d343ceb665aeac040347fa1a7a52958f8d77bcb

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
Sep 22, 2020 21:00 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

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, 0 unverified.

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

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.