MALICIOUS
130
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
The PDF contains embedded links that redirect to known malicious infrastructure, specifically advertising a 'free generator' or 'game hack' for TikTok likes. The document body and metadata confirm the use of wkhtmltopdf, and the presence of multiple malicious redirector links indicates a clear intent to lure users to a potentially harmful site. No scripts were extracted, but the primary attack vector is the malicious link.
Machine Learning
- Nyx PDF Classifier clean score 0.0622
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/835599320/get-free-tiktok-likes-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_002_off00002986.bin |
decompressed-pdf-stream | PDF FlateDecoded stream at offset 0x2986 | 23872 bytes |
SHA-256: dca2dd603a6e713f555024789512f4a6775ce29c95cd464ff850fde5086dee1c |
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font_01_sfnt_off0000602f.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x602F | 17456 bytes |
SHA-256: c397690cc80b7cdd5818f6212e28c5067632df1cbe38d70f20361ec61b14abd9 |
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