Unit 42: Dissecting GootLoader With Node.js
Unit 42 demonstrates how to circumvent anti-analysis techniques from GootLoader malware while using Node.js debugging in Visual Studio Code. IOC provided.
Sandboxes with limited computing resources can struggle to analyze a large volume of binaries. Malware often takes advantage of this to evade analysis by delaying its malicious actions, which is commonly described as “sleeping.”
#gootloader #malwareanalysis #threatintel #ioc
Not Simon the Goat /
npub1ce…mclln
2024-07-05 12:33:18
Author Public Key
npub1cetfz9z5qtn3lly58p3t4hmxxqhy0vml22z5g8rve3vjesg5gzxs6mcllnSeen on
wss://relay.nostr.bandPublished at
2024-07-05 12:33:18Event JSON
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"pubkey": "c65691145402e71ffc943862badf66302e47b37f5285441c6ccc592cc114408d",
"created_at": 1720182798,
"kind": 1,
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"content": "Unit 42: Dissecting GootLoader With Node.js\nUnit 42 demonstrates how to circumvent anti-analysis techniques from GootLoader malware while using Node.js debugging in Visual Studio Code. IOC provided.\n\nSandboxes with limited computing resources can struggle to analyze a large volume of binaries. Malware often takes advantage of this to evade analysis by delaying its malicious actions, which is commonly described as “sleeping.”\n\n#gootloader #malwareanalysis #threatintel #ioc",
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