AI-written honeypot client-controlled IP header trust server-side request forgery flaw
Vulnerability
Summary
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Intruder's AI-written honeypot proof-of-concept contains a client-controlled IP header trust flaw that let an attacker spoof visitor IPs and inject payloads. The weakness mattered because the same logic could have enabled Local File Disclosure or Server-Side Request Forgery if reused in a different context. The issue surfaced a few weeks after deployment when attacker data appeared in places reserved for IP-based filenames.
Related Happenings
AWS Bedrock AgentCore Code Interpreter DNS exfiltration and covert C2 in Sandbox Mode
Technical Analysis
First: 16.03.2026 15:00
Last: 16.03.2026 15:00
Sources 1
About this happening:
Researchers demonstrated **DNS-based exfiltration** and covert **C2** against **AWS Bedrock AgentCore Code Interpreter**, showing cloud AI code execution environments can still le...
AWS Bedrock AgentCore Code Interpreter DNS exfiltration and covert C2 in Sandbox Mode
Technical AnalysisAbout this happening: Researchers demonstrated **DNS-based exfiltration** and covert **C2** against **AWS Bedrock AgentCore Code Interpreter**, showing cloud AI code execution environments can still le...
Timeline
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23.01.2026 16:59 2 articles · 4mo ago
AI-written honeypot trusts client-controlled IP headers
Technical Analysis UpdateIntruder's AI-generated honeypot proof-of-concept, built for Rapid Response and deployed as intentionally vulnerable infrastructure in an isolated environment, later showed attacker payload strings in logs and directory names after a visitor placed data into client-supplied IP headers. The code had treated those headers as the visitor's IP without validation, enabling IP spoofing and header injection, while Semgrep OSS and Gosec did not flag the flaw; the same mistake could have enabled Local File Disclosure or Server-Side Request Forgery if used elsewhere.
Show sources
- What an AI-Written Honeypot Taught Us About Trusting Machines — www.bleepingcomputer.com — 23.01.2026 16:59
- What an AI-Written Honeypot Taught Us About Trusting Machines — www.bleepingcomputer.com — 23.01.2026 16:59