Collected research

CaffeineMonkey: Automated Collection, Detection and Analysis of Malicious JavaScript

Ben Feinstein and Daniel Peck · blackhat.com

Detecting malicious JavaScript by executing it rather than matching bytes. Heritrix crawls candidate pages into a central database and an instrumented SpiderMonkey runs each script, logging method calls so obfuscation - whitespace and comment randomisation, string splitting, integer rewriting, identifier renaming - does not hide behaviour.

Record

Researcher

Ben Feinstein and Daniel Peck

Published by

blackhat.com

Format

Whitepaper

Topic

Server

In the archive

• Collected in the 2007 research round

Tags

• javascript
• javascript-runtime
• detection
• dynamic-analysis
• tooling
• filter-bypass
• measurement-study
• owasp-a05-2021
• owasp-a09-2021

This page is the archive's own catalogue record. The research is the work of Ben Feinstein and Daniel Peck, first published at the original source. Preserved copies are kept so the citation survives its host; this one was last captured on 9 August 2026.