PDF static analysis report

Static analysis result for SHA-256 b875a99103a9e346…

SUSPICIOUS

PDF

36.9 KB Created: 2021-05-19 23:00:28 +07:00 Authoring application: wkhtmltopdf 0.12.6 (via Qt 4.8.7) First seen: 2021-10-01
MD5: 39886aa6fb514a5bdb002445f28bc7ca SHA-1: 925f6aa432d3ee4e168dd27e993380098918e744 SHA-256: b875a99103a9e346a1ed701a2b6d30a005c7e4de440af13b0182e32b9bf9cefe
52 Risk Score

Malware Insights

MITRE ATT&CK
T1566.001 Spearphishing Attachment

This PDF document was flagged as suspicious. The file routes users through malicious redirector infrastructure and presents a deceptive download button. Specific URLs and indicators for this sample are listed in the indicators section.

Machine Learning

  • Nyx PDF Classifier clean score 0.0313

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/479516143/how-to-play-minecraft-online-for-free-game-hack PDF link annotation
    • http://en.wikipedia.org/wiki/MIT_LicenseIn PDF document text

Related samples 3

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_off00003111.bin decompressed-pdf-stream PDF FlateDecoded stream at offset 0x3111 27896 bytes
SHA-256: 80071fff610fdecf9b334970afacf1b7d8ecc0785ecb4f6a87f8e0ee8edb12d2
font_01_sfnt_off00006f0b.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x6F0B 18284 bytes
SHA-256: d351e8829c9b9129ecd16360a685e5a3372d867254233815d7ec6e5bceb7faba

Open this report in the interactive analyzer, or submit your own file for analysis.