MALICIOUS
130
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
The PDF document contains embedded links that redirect to a website offering 'free TikTok fans' and 'game hacks', a common lure for malicious content. The heuristic firings confirm these links point to known malicious redirector infrastructure. While no scripts were extracted, the document body and heuristics indicate a phishing attempt to drive users to a potentially harmful site.
Machine Learning
- Nyx PDF Classifier clean score 0.0573
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.tw/app/835599320/free-tiktok-fans-no-human-verification-or-downloading-apps-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_off00001fe1.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x1FE1 | 22212 bytes |
SHA-256: b6726d34a8abee8e734629bc59986a7527c8d0049b78d57e186c174667b48008 |
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font_01_sfnt_off00005159.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x5159 | 19260 bytes |
SHA-256: c23abd5df90a5b7093cc3e198b5bcaea5ee7ff11a274e14c679da15d1a345c21 |
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