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Attributed metadata history

REPORTPUBLIC METADATA

The dangers of AI agents unfurling hyperlinks and what to do about it

About a year ago we talked about how developers can’t intrinsically trust LLM responses and common threats that AI Chatbots face and how attackers can exploit them, including ways to exfiltrate data. One of the threats is unfurling of hyperlinks, which can lead to data exfiltration and is something often seen in Chatbots. So, let’s shine more light on it, including practical guidance on how to mitigate it with the example of Slack Apps.

Reference details

Source category
research-report
First reported
Apr 03, 2024 04:00 UTC
Last reported
Apr 03, 2024 04:00 UTC
Catalog updated
Oct 13, 2026 14:55 UTC
Record ID
27bc12d314b15a72d6e037ac2cb307ff3f0ee1522ea406e8342448fcf0da0e38

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
Apr 03, 2024 04:00 UTC
Retrieved
Oct 13, 2026 14:55 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.