PDF malware analysis — malicious · 3aca5d5c1b4f30f4

MALICIOUS

PDF

67.6 KB Created: 2020-10-31 12:42:00 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7)

MD5: 6a24b5398727085c5eef020d0bd6c0ce SHA-1: 6c0c08beb7a87896a93f6b819e839bcf17aff6f9 SHA-256: 3aca5d5c1b4f30f4a3e6d5c07ed448a745860194f5761dc22753a2fffd0d22b9

112 Risk Score

Malware Insights

MITRE ATT&CK

T1566.001 Spearphishing Attachment

The PDF was identified as malicious due to its structure, which mimics a screenshot to lure users into clicking a link. This link, 'https://ggtraff.ru/aws?keyword=baritone+ukulele+songs+pdf', is known to redirect to malicious infrastructure. The ML classifier also strongly indicated maliciousness.

Machine Learning

Nyx PDF Classifier malicious score 0.9120

Heuristics 3

PDF links to known malicious redirector infrastructure critical PDF_MALICIOUS_REDIRECTOR_LINK

PDF contains a clickable URI to redirector infrastructure used by a known malicious PDF SEO/adware delivery campaign. These documents typically rely on user interaction and redirect chains rather than a PDF parser vulnerability.
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 67 KB — typical shape of a phishing lure where a full-page screenshot hides a clickable button that launches or submits to an attacker URL.
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://ggtraff.ru/aws?keyword=baritone+ukulele+songs+pdf

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