Malicious PDF — malware analysis report

Static analysis result for SHA-256 7f28c4bd1ac88ff3…

MALICIOUS

PDF

36.0 KB Created: 2023-07-24 10:24:46 -07:00 Authoring application: iTextSharp’ 5.5.13.2 ©2000-2020 iText Group NV (AGPL-version)
MD5: 35052b9c0fb96e53beb69757873b5bad SHA-1: d7952ca47683759e57ac86e92a71849da647adde SHA-256: 7f28c4bd1ac88ff3475365e3c77974fb99adc3a4ec9597e7bfeba6f1da51c24a
72 Risk Score

Malware Insights

MITRE ATT&CK
T1566.001 Spearphishing Attachment T1203 Exploitation for Client Execution

The PDF is identified as malicious by an ML classifier and exhibits characteristics of a phishing lure, presenting an image that likely conceals a clickable link. This link directs to a raw IP address, indicating an attempt to bypass domain-based defenses and directly lead the user to a potentially malicious resource. No scripts were extracted from this sample.

Machine Learning

  • Nyx PDF Classifier malicious score 0.9114

Heuristics 3

  • Image-only document with action trigger (screenshot lure) medium PDF_IMAGE_LURE
    PDF has 2 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.
  • Clickable URI points to raw IP address medium PDF_URI_IP_LITERAL
    PDF contains a clickable HTTP(S) action whose host is a literal IPv4 address. Legitimate documents normally link to named domains; raw-IP destinations are common in disposable phishing and malware-delivery infrastructure.
  • 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 http://45.11.180.149