intelligence_src_c25d91fa3ad9ae9ac7
- Source-provided label
- Publisher RSS metadata
- Evidence class
- mentioned in report
- Confidence
- Not reported
- Observed
- Aug 01, 2023 22:15 UTC
- Retrieved
- Oct 13, 2026 14:55 UTC
A common attack vector that LLM apps face is data exfiltration, in particular data exfiltration via Image Markdown Injection is a common vulnerability. Microsoft fixed the vulnerability in Bing Chat, ChatGPT is still vulnerable as Open AI “won’t fixed” the issue, and Anthropic just mitigated this vulnerability in Claude. This post documents the Anthropic Claude data exfiltration vulnerability and the mitigation put in place. The Vulnerability - Image Markdown Injection As a quick recap, imagine a large language model (LLM) returns the following text:
f92bca81b978b6d9de0e5fa74a8e34259a8f7ca0fb0b936ce9590a92e8ffc41bNetwork 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.
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