Sast

Earlier this month, attackers compromised a popular npm maintainer via a phishing attack, then published malicious versions of 18 widely-used packages (including debug) that together have over 2 billion weekly downloads. These packages injected browser-side malware that intercepted cryptocurrency transactions, replacing wallet addresses with attacker-controlled ones using visually similar strings to evade detection. This was a supply chain attack with no CVE assigned at the time, meaning regular SCA scanners, which rely on published CVEs, could not detect it. In this post, I will explore an alternative approach of scanning for behavioral patterns and heuristics using small language models.