PDF malware analysis — malicious · 748077ffb1d35817

MALICIOUS

PDF

36.1 KB Created: 2021-06-09 09:53:49 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-09-25

MD5: a0fca9fd58ee4927403f6ff41bbe9318 SHA-1: ca51824b8cca6e00ca9c5c8807ebdb91e266ce3f SHA-256: 748077ffb1d358174fe0393a2bf128d01f2e47eedee5a50c369cf6ec4d8b8148

114 Risk Score

Malware Insights

MITRE ATT&CK

T1566.001 Spearphishing Attachment

This PDF document was flagged as malicious by ClamAV and an ML classifier. The file uses an image-based lure. Specific URLs and indicators for this sample are listed in the indicators section.

Machine Learning

Nyx PDF Classifier malicious score 0.6443

Heuristics 4

ClamAV: Pdf.Phishing.Trojan-d2568dad23a94d95-d2568dad23a94d95-10044375-0 critical CLAMAV_DETECTION

ClamAV detected this file as malware: Pdf.Phishing.Trojan-d2568dad23a94d95-d2568dad23a94d95-10044375-0
Image-only document with action trigger (screenshot lure) medium PDF_IMAGE_LURE

PDF has 1 image(s), only 0 text block(s), carries a click-outward action, and is only 36 KB — typical shape of a phishing lure where a full-page screenshot hides a clickable button that launches or submits to an attacker URL.
External URI info PDF_URI

PDF contains an external URL action
Embedded URL info EMBEDDED_URL

One or more URLs were extracted from the document. The URL itself is not a detection — see the per-URL labels for which channel (macro, JS, link annotation, document body, ...) reached each URL.
URL https://drafthe.ru/uplcv?utm_term=deep+learning+pdf+ian+goodfellow PDF link annotation
- https://forex-robo.org/wp-content/plugins/super-forms/uploads/php/files/57aeb84a9d7d83aacd48b5113b968b5d/ramowupamajuru.pdfIn PDF document text
- https://luxmarketing.agency/wp-content/plugins/super-forms/uploads/php/files/bknfrqfotq7obdl3rurqbndkgc/77386168912.pdfIn PDF document text

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