Malicious PDF — malware analysis report

Static analysis result for SHA-256 16bc2b2db2c180c5…

MALICIOUS

PDF

49.2 KB Created: 2020-12-05 18:50:40 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2026-06-05
MD5: 9ddc77218506a40b1c1e50f657045a91 SHA-1: f4d1ee02b83b0e79d2065e93cebd6b2b46357d08 SHA-256: 16bc2b2db2c180c57c525e0d7bfaf29e55fd7c8647ce6783c21ff5d4910fc3de
192 Risk Score

Malware Insights

MITRE ATT&CK
T1566.001 Spearphishing Attachment

The file is a PDF that contains a redirector link disguised as a cashier resume sample, indicating a phishing attempt to lure users to malicious infrastructure. The ML classifier and ClamAV detection further support its malicious nature. Although no scripts were explicitly extracted, the PDF structure and embedded URL suggest it's designed to download and execute a secondary payload.

Machine Learning

  • Nyx PDF Classifier malicious score 0.7004

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
  • 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 lure linking to an SEO redirector (free-download phishing) high PDF_SEO_UTM_REDIRECTOR_LINK
    PDF embeds an image with little or no body text and a clickable link to a multi-word utm_term / FeedBurner-proxied SEO redirector — the 'free ebook / solution-manual / document download' phishing family that ranks for natural-language search queries and routes the user into a payload/redirect chain. The PDF carries no exploit; the risk is the linked destination. Flagged structurally (image lure + SEO redirector) so it does not depend on a ClamAV/ML signature, and regardless of how many filler text pages the lure carries.
  • 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://gettraff.ru/aws?utm_term=cashier+resume+sample In PDF document text

Open this report in the interactive analyzer, or submit your own file for analysis.