PDF static analysis report

Static analysis result for SHA-256 4ce444674905367f…

SUSPICIOUS

PDF

35.7 KB Created: 2021-05-10 13:52:37 +07:00 Authoring application: wkhtmltopdf 0.12.6 (via Qt 4.8.7) First seen: 2021-09-29
MD5: b926794c703b13bedbcd1177ecaf396c SHA-1: f4b07f0c9ef8dede66ce411f3b3e712292a3181b SHA-256: 4ce444674905367fd4b93842022bed346f086649014885b838ac7a115d337883
52 Risk Score

Malware Insights

MITRE ATT&CK
T1566.001 Spearphishing Attachment

The PDF contains a prominent link and text explicitly advertising a "Coin Master Hack Online" generator. This lure directs users to a suspicious URL, indicating a phishing or scam attempt. While no scripts were directly extracted, the PDF structure and embedded URI heuristics strongly suggest a social engineering tactic to drive users to a potentially malicious website.

Machine Learning

  • Nyx PDF Classifier clean score 0.0265

Heuristics 4

  • PDF links to a 'free generator / game hack' redirector high PDF_GAME_HACK_REDIRECT_LURE
    PDF's clickable action targets a redirector of the form /app/<id>/<slug>-game-hack — the landing-page shape of a large SEO 'free spins / generator / game hack' lure family that funnels victims through rotating disposable hosts to a malware/scam payload. The multi-link variants also trip ML/link-farm rules; this catches the single-link variants that otherwise score clean.
  • 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/coin-master-hack-online-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_off000035f2.bin decompressed-pdf-stream PDF FlateDecoded stream at offset 0x35F2 23788 bytes
SHA-256: e768260b3460bc7f5125842d55d25d512052b15d9b9434a91879300093a08133
font_01_sfnt_off00006b98.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x6B98 17788 bytes
SHA-256: fe6378a35aaddd1df9c91bfaa88201bdad89d62d9f4d299995ec0f595f057003

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