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
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.
27bc12d314b15a72d6e037ac2cb307ff3f0ee1522ea406e8342448fcf0da0e38Network 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.