MALICIOUS
130
Risk Score
Machine Learning
- Nyx PDF Classifier clean score 0.0334
Heuristics 4
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PDF links to a 'free generator / game hack' redirector critical PDF_GAME_HACK_REDIRECT_LUREPDF'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. CRITICAL on its own: the /app/<id>/<slug>-game-hack path shape is unambiguous scam infra, and the host rotates so a host-list match can't be relied on.
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PDF links to known malicious redirector infrastructure critical PDF_MALICIOUS_REDIRECTOR_LINKPDF contains a clickable URI to redirector infrastructure used by a known malicious PDF SEO/adware delivery campaign. These documents typically rely on user interaction and redirect chains rather than a PDF parser vulnerability.
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Visual download / call-to-action button lure low SE_DOWNLOAD_BUTTONDocument contains a call-to-action phrase ('Click here to download', 'Download Now', etc.) — low-signal unless other findings point to a malicious workflow
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Embedded URL info EMBEDDED_URLOne 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/431946152/free-roebucks-com-game-hack In PDF document text
- http://en.wikipedia.org/wiki/MIT_LicenseIn PDF document text
Extracted artifacts 2
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
stream_003_off00003568.bin |
decompressed-pdf-stream | PDF FlateDecoded stream at offset 0x3568 | 27628 bytes |
SHA-256: 9bf88ea5b49f3fc7558dd4bad1cb0f8a405a0a1741184a988fd57590d6aecf63 |
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font_01_sfnt_off00007425.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7425 | 18236 bytes |
SHA-256: acbd5711f3c405a9970fcfdb5585b9ec9d025850f2b671bb57125d23f3c9a6d7 |
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