MALICIOUS
130
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
The PDF contains a lure for 'free generator / game hack' which redirects to a known malicious infrastructure. The document body and embedded artifacts suggest a social engineering attempt to trick users into visiting a malicious URL, likely for further exploitation or malware delivery. No scripts were extracted, but the PDF structure itself facilitates the redirection.
Machine Learning
- Nyx PDF Classifier clean score 0.0251
Heuristics 4
-
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.
-
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.
-
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
-
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/roblox-t-shirt-free-adidas-game-hack In PDF document text
- http://en.wikipedia.org/wiki/MIT_LicenseIn PDF document text
Extracted artifacts 4
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off00003c06.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x3C06 | 30676 bytes |
SHA-256: 68d2c4fb002b9a4dd685fed0a75f680d063292b67935b4da091c0a0dae7153f4 |
|||
font_01_sfnt_off000082c7.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x82C7 | 3024 bytes |
SHA-256: e057fc1c247ec7c5d7954284cc4c8a88f0cced4afb63a4cf899280ab0cf068cb |
|||
font_02_sfnt_off00008d22.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x8D22 | 5696 bytes |
SHA-256: 450e3ee45915afe13702bf1d587eb8b9ad88a8d2113419ac9f2fd116a828e139 |
|||
font_03_sfnt_off00009a34.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x9A34 | 18740 bytes |
SHA-256: eb11ab805d8adc0fa99b49bf1eda50993c0297b4eb351afd427579f9d3eca4bc |
|||
Open this report in the interactive analyzer, or submit your own file for analysis.