AI Data-Exfiltration Marker

Detects data-exfiltration carriers in AI/LLM output: markdown images or links and HTML img tags whose URL points off-tenant and carries an encoded data payload in the path or query. This is an EchoLeak-style (cf. CVE-2025-32711) generic markdown/HTML exfiltration-carrier marker - it flags the carrier shape, not the full CVE mechanism (which also involves XPIA evasion and a Teams proxy/CSP bypass).

Type
regex
Engine
universal
Confidence
high
Confidence justification
High/precision-gated: fires on outbound content, so tuned for low FP. Requires an external host plus a long encoded payload; corporate-host and test-text exclusions remove the named FP traps.
Detection quality
Verified
Jurisdictions
global
Regulations
OWASP LLM Top 10 2025, NIST AI RMF GenAI Profile
Frameworks
ISO 27001
Data categories
emerging, security
Risk rating
7
Platform compatibility
Purview: Compatible, GCP DLP: Compatible, Macie: Compatible, Zscaler: Compatible, Palo Alto: Compatible, Netskope: Compatible

Pattern

!\[[^\]]*\]\(\s*https?://[^)\s]+[?#&][^)\s]*=[^)\s]{16,}\)

Corroborative evidence keywords

image, link, markdown, render, [object Object], artificial intelligence, [object Object], large language model, Copilot, chatbot, assistant, agent, prompt, system prompt, tool call, completion, model

Proximity: 300 characters

Should match

Should not match

Known false positives

Collections