Malicious PDF — malware analysis report

Static analysis result for SHA-256 148fede61d872daa…

MALICIOUS

PDF

8.6 KB Created: 2021-10-23 16:49:52 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2026-06-04
MD5: 765be633d0e9ea9f96200541c1077c95 SHA-1: 63d1bed8ec41f39ac75fe42af52fb7524b53f37e SHA-256: 148fede61d872daa83b21149878361a3c7741b211ece59e4df7329009cdb84fc
72 Risk Score

Malware Insights

MITRE ATT&CK
T1566.001 Spearphishing Attachment

The PDF is identified as an image-only document designed as a lure, containing a clickable link to 'http://moierverwebregel.scdd.ru'. This pattern is commonly used in phishing attacks to redirect users to malicious websites. The ML classifier also flagged this PDF as potentially malicious.

Machine Learning

  • Nyx PDF Classifier malicious score 0.5533

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 8 KB — typical shape of a phishing lure where a full-page screenshot hides a clickable button that launches or submits to an attacker URL.
  • Image-only PDF lure with a single link to a non-reputable host medium PDF_IMAGE_LURE_NONREPUTABLE_LINK
    PDF is image-heavy with little real text and its only clickable action is a single external link to a host that is not known-good. This is the canonical malspam carrier shape — a screenshot-like 'click to view' page whose sole purpose is to funnel the victim to one redirect/landing URL on a compromised or throwaway domain. Flagged suspicious rather than malicious because the link alone (no shortener / typosquat / brand path) is the only corroborator beyond the image lure.
  • 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://moierverwebregel.scdd.ru In PDF document text
    • http://en.wikipedia.org/wiki/MIT_LicenseIn PDF document text

Related samples 8

Ranked by shared artifacts, heuristics, extracted URLs, CVEs, and signatures.

Full JSON: related samples API

Extracted artifacts 1

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off00000f0d.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xF0D 12396 bytes
SHA-256: 9651c78dad64c31681e27aaf77368dfa0aab65a72df78104afb2fc8edab34c59

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