PDF static analysis report

Static analysis result for SHA-256 d4aaa84ca7cd5db1…

SUSPICIOUS

PDF

35.2 KB Created: 2021-05-10 12:31:51 +07:00 Authoring application: wkhtmltopdf 0.12.6 (via Qt 4.8.7) First seen: 2021-09-27
MD5: 42c6c3ab6bf472b56189e6891b1cd478 SHA-1: 17e231919ee83ddecdee665c1ab530f9b9a7238b SHA-256: d4aaa84ca7cd5db11ff056637d6741a3e119c59ab85acb9c0f4af8a615afa51e
52 Risk Score

Malware Insights

MITRE ATT&CK
T1566.001 Spearphishing Attachment

The PDF contains a lure for 'Free Games Like Coin Master' and explicitly instructs the user to 'CLICK HERE TO ACCESS COIN MASTER GENERATOR'. This, combined with the 'SE_BROWSER_INSTALL_LURE' heuristic, indicates a social engineering attempt to trick the user into downloading potentially malicious content or visiting a scam website. The embedded URL points to a domain associated with game hacks, further supporting this conclusion.

Machine Learning

  • Nyx PDF Classifier clean score 0.0306

Heuristics 4

  • Browser extension / update installation lure high SE_BROWSER_INSTALL_LURE
    Document tells the user to install a browser extension, plugin, viewer, or browser update to view content — a common social-engineering path for credential theft and malware installation
  • Visual download / call-to-action button lure low SE_DOWNLOAD_BUTTON
    Document contains a call-to-action phrase ('Click here to download', 'Download Now', etc.) — low-signal unless other findings point to a malicious workflow
  • 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://netcdn.xyz/app/406889139/free-games-like-coin-master-game-hack PDF link annotation
    • 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 2

Files carved from inside the sample during analysis.

FilenameKindSourceSize
stream_003_off00002f7f.bin decompressed-pdf-stream PDF FlateDecoded stream at offset 0x2F7F 24804 bytes
SHA-256: 3552e4309da5afbb400ab4be406d90cc54e0c718105ff38ffd3715f48fc28f40
font_01_sfnt_off000068d2.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x68D2 18140 bytes
SHA-256: 0fa8c8b4839815decb7824e6abfd23c338a1fcad8391028ddb14be23d50d94bc

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