MALICIOUS
130
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
The PDF contains multiple links to a known malicious redirector infrastructure, specifically advertising 'how to hack Roblox to get Robux'. The document body also contains similar lures and a call-to-action phrase, indicating a phishing or scam attempt. The embedded URLs are the primary indicators of malicious intent, suggesting the document is designed to lead the user to a compromised or malicious website.
Machine Learning
- Nyx PDF Classifier clean score 0.0149
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/how-to-hack-roblox-to-get-robux-game-hack In PDF document text
- http://en.wikipedia.org/wiki/MIT_LicenseIn PDF document text
Extracted artifacts 3
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off000033c5.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x33C5 | 30700 bytes |
SHA-256: fd47a26daae6116f2ac4cfd924e30d723766a66aed418abbd4dc41e60b178468 |
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font_01_sfnt_off000077f4.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x77F4 | 3884 bytes |
SHA-256: 40b61f8938bd710dc29dc58ba3fde91c245a6a69596ec569b4d27c769ca417cf |
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font_02_sfnt_off0000849c.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x849C | 18996 bytes |
SHA-256: dc0d6546e0fba36c88c62bb99db67dba9ca81d7a652023b2240737c7a02d68b7 |
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