Ketman's gh-fake-analyzer write-up gives reconnaissance heuristics for separating ordinary GitHub accounts from suspicious profiles used in malware-as-a-service, account farming, or DPRK-style IT worker activity. For DPRK-style profiles, it highlights old or stolen accounts with no commits before the account creation date, sudden replacement accounts after a developer is fired, popular NFT profile pictures, initially plausible developer output that later degrades, and follower or repository clusters that need manual review. The article stresses that these checks are low confidence on their own and should be used to guide inspection of repositories, copied commits, unique author emails, DMCA-taken-down projects, and follower/following patterns. For DPRK tracking, the useful evidence is the operational profile of fake or borrowed developer accounts rather than a hard malware indicator.