MALICIOUS
130
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
T1203 Exploitation for Client Execution
The PDF file contains embedded links that redirect to known malicious infrastructure, specifically advertising a 'free TikTok Likes game hack'. The document body also contains a call-to-action button lure. These elements strongly suggest a phishing or scam attempt designed to lead the user to a malicious site.
Machine Learning
- Nyx PDF Classifier clean score 0.0580
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-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 |
|---|---|---|---|
font_00_sfnt_off000028c5.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x28C5 | 22852 bytes |
SHA-256: 60d42e113d542b71de510af53c11680e6231910118197e1a7429c3e4c4837ec8 |
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font_01_sfnt_off00005c33.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x5C33 | 17456 bytes |
SHA-256: 90aab8e20699190043af8c1921cf798ffa728f6e874bf4804f87169ad62e4652 |
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