MALICIOUS
82
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
This PDF document was flagged as malicious by an ML classifier. 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 malicious score 0.9476
Heuristics 4
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PDF links to a 'free generator / game hack' redirector high 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.
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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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External URI info PDF_URIPDF contains an external URL action
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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/robux-gift-card-free-game-hack PDF link annotation
- https://diendientuvn.com/public/upload/files/minecraft-mod-menu_GM479516143.pdfIn PDF document text
- https://diendientuvn.com/public/upload/files/coin-master-home_GM406889139.pdfIn PDF document text
- https://diendientuvn.com/public/upload/files/how-to-change-your-username-in-roblox-for-free_GM431946152.pdfIn PDF document text
- https://diendientuvn.com/public/upload/files/roblox-lovenet_GM431946152.pdfIn PDF document text
- https://diendientuvn.com/public/upload/files/free-robux-hack-no-human-verification_GM431946152.pdfIn 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 |
|---|---|---|---|
font_00_sfnt_off000035f2.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x35F2 | 28848 bytes |
SHA-256: 7337d76e9abe6edc9d0baf1928ec79d47a1fcf91a203ad8ea70a1c29ad649fc5 |
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font_01_sfnt_off00007652.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7652 | 18640 bytes |
SHA-256: dc19c2dc7c571358abc7904f3409549de68542ff7a2dde77b507fd070c6276df |
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