PDF static analysis report

Static analysis result for SHA-256 23341da1c8c043cc…

SUSPICIOUS

PDF

30.4 KB Created: 2021-07-19 07:10:04 +07:00 Authoring application: wkhtmltopdf 0.12.6 (via Qt 4.8.7) First seen: 2021-09-17
MD5: b187d1c09cdc9302c8e00371998f8288 SHA-1: c1178cb5faad157ca8eb66841518f30c583850f2 SHA-256: 23341da1c8c043cc4ad74644b6c52068531d16ca11eb2f33bc547d18c9dda224
52 Risk Score

Malware Insights

MITRE ATT&CK
T1566.001 Spearphishing Attachment

The PDF contains a prominent link and text related to a 'TikTok Free Fans' generator and hack, directing users to a suspicious URL. This strongly suggests a social engineering lure to drive traffic to a potentially malicious site. No scripts were extracted, but the PDF structure and embedded URL indicate a phishing or scam attempt.

Machine Learning

  • Nyx PDF Classifier clean score 0.0560

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 http://netcdn.tw/app/835599320/tiktok-free-fans-game-hack PDF link annotation
    • http://en.wikipedia.org/wiki/MIT_LicenseIn PDF document text

Extracted artifacts 2

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off000023ac.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x23AC 22836 bytes
SHA-256: 210ab513b3d20033160b65af8a1fa6165ba70045bb34e7f540672b4cc1c22bd2
font_01_sfnt_off00005730.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x5730 17684 bytes
SHA-256: 4a9e05c682d6810de0feb86162fa18badead57ff55ae6cc117977f414faa10b0