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Trying something new with #GitHub and posting my spam #UCE #UBE and suspect / #malicious #emails and their associated attachments. Putting everything in a #mastodon post was problematic with space limitations, and was hard to find/organize/search.

Providing the redacted headers and URLs to the malware sandboxes used:

github.com/obrientg/Analysis/b

Received two (2) of the same samples, with different file names & hashes but the same detection of JS/Phish.AAL
Both were sent to the email address I use for threat intel & incident response collaboration efforts.
Email SRC on both was Google Cloud (#GCP) with an #openproxy, abuse reporting submitted.

#MD5 5cf33dd39d6db60423ac89fd63e5f500
#SHA1 863c95b7e7ff0bb8299cbae93dfaed12cc619332
#SHA256 c4e40b137e43c89261ee89a34db843477a8c994a21a92c98c7b15193face8c35

#MD5 8a9af78b0a4cdade6df9f71e7e5b1362
#SHA1 b03fdf0891adacc1995fdd1e2f043343c20a45e5
#SHA256 317aaea9d9ef39c9b85b9ce6e0f68ec83a06b2f3298aded981b19063b2f44737

#malware #incidentResponse #malwareAnalysis
#InfoSec #informationSecurity #cybersecurity #cyberz #cyber #cybercrime
#phish #phishing
#threatIntel #IoC #threatIntelligence #cyberthreatintelligence #CTI

GitHubAnalysis/Fri, 25 Oct 2024 JS Phish.AAL at main · obrientg/Analysisdocumenting alaysis of suspect & malicious emails and their attachements - obrientg/Analysis