AETERNAE AI RESEARCH LLC INDEPENDENT RESEARCH
ÆAETERNAERESEARCH
Sign inRequest access
← Malware catalog

Attributed metadata history

REPORTPUBLIC METADATA

Video: Understanding Image Scaling Attacks

Today you are in for a special treat. Did you know that an adversary can hide a smaller image within a larger one? This video demonstrates how a small image becomes magically visible when the computer resizes the large image, and also how to mitigate the vulnerability. This is possible when vulnerable code uses insecure interpolation. If you like this one check out the overall Machine Learning Attack Series.

Reference details

Source category
research-report
First reported
Oct 12, 2021 07:02 UTC
Last reported
Oct 12, 2021 07:02 UTC
Catalog updated
Oct 16, 2026 04:13 UTC
Record ID
853088cf52a371beda3108a95de789116672deff69377e18e34e4de7ca8220cb

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
Oct 12, 2021 07:02 UTC
Retrieved
Oct 16, 2026 04:13 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.