intelligence_src_c25d91fa3ad9ae9ac7
- Source-provided label
- Publisher RSS metadata
- Evidence class
- mentioned in report
- Confidence
- Not reported
- Observed
- Sep 06, 2020 07:00 UTC
- Retrieved
- Oct 14, 2026 02:57 UTC
This post is part of a series about machine learning and artificial intelligence. Click on the blog tag “huskyai” to see all the posts, or visit the machine learning attack series overview section. In the previous post we walked through the steps required to gather training data, build and test a model to build “Husky AI”. This post is all about threat modeling the system to identify scenarios for attacks which we will perform in the upcoming posts.
4de141984e4290dfefc209944eec2d3a135f31842cb982a767d9b3599c258330Network 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.
This record contains metadata and attribution only. It does not host, download, unpack, render, or execute malware samples.
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.
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.