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STG Stealer is an information-stealing malware family associated with collection of locally stored artifacts from AI-assisted development tools. Its collection behavior includes targeting data that may expose AI-service access and refresh tokens, Model Context Protocol configuration secrets, API credentials, prompt or conversation histories, and project metadata. Theft of such material can enable session reuse, unauthorized account access, abuse of paid API services, exposure of development context, and compromise of connected services. The malware’s collection scope can be expanded through remotely managed rules on already compromised endpoints, allowing operators to add application-specific targets without redistributing the malware.
Mallory pivots from this family to the IOCs, detections, and named campaigns that touch your stack, and pages you when something new lands.
1 distinct technique documented for this family, organized by ATT&CK tactic.
3 sources tracked across advisories, community write-ups, and news. New activity surfaces here as Mallory finds it.
Information-stealing malware cited as part of the expanding use of stealers to harvest local AI coding-agent artifacts.
Named as an information stealer illustrating the growing theft of locally stored AI coding-agent artifacts.
Lower-prevalence information-stealer family included among malware targeting data from AI-assisted development tools.
Match every observed IP, domain, and hash against your live telemetry.
Named campaigns wielding this family, with evidence pinned to each claim.
CVEs this family uses for access and lateral movement.
YARA, Sigma, Snort, and vendor rules, auto-deployed to your SIEM.
Every documented technique, ranked by evidence weight.
Reddit, Mastodon, and CTI community discussion around this family.