MALICIOUS
130
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
The PDF file contains embedded links that redirect to a known malicious infrastructure, disguised with a 'Roblox Hacking' and 'Robux Generator' lure. The heuristic findings indicate that the document is designed to trick users into clicking these links, which likely leads to a phishing page or a malware download. The presence of a call-to-action button further supports the malicious intent.
Machine Learning
- Nyx PDF Classifier clean score 0.0327
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 http://netcdn.co/app/431946152/roblox-hacking-youtube-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 |
|---|---|---|---|
font_00_sfnt_off00001501.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x1501 | 21852 bytes |
SHA-256: ad1884ade019ffbcddf4efe9ac19706050fe583ebb85d957467f13143ed1db52 |
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font_01_sfnt_off00004571.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x4571 | 19184 bytes |
SHA-256: 2897c5e9a1aa4c12d33d7e06196c6367c7d47505f09f0cd492822d4a7521f145 |
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