MALICIOUS
130
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
The PDF contains multiple links to a known malicious redirector, disguised as a lure for 'Freer Pro Tiktok Fans' and a 'generator'. The heuristic firings indicate the document is designed to trick users into clicking these links, likely to download a secondary malicious payload. The embedded URL and the visual download button lure further support this attack pattern.
Machine Learning
- Nyx PDF Classifier clean score 0.0076
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/835599320/freer-pro-tiktok-fans-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 |
|---|---|---|---|
stream_002_off00002d0b.bin |
decompressed-pdf-stream | PDF FlateDecoded stream at offset 0x2D0B | 24716 bytes |
SHA-256: 31ae32661c8e9cdb94725ed2f26d0cbabf1409003dbf5a858d60cdc67603e97f |
|||
font_01_sfnt_off000065f1.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x65F1 | 2896 bytes |
SHA-256: c1a618813a64314343402b2ec738fc11c4c912460a4c7ae3029924d2f9a229cd |
|||
font_02_sfnt_off00006fd7.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x6FD7 | 17836 bytes |
SHA-256: b5cd6e44f23342f5814d14ac4a9e66e4145bc6ad622852c2f98f607989fb45e5 |
|||
Open this report in the interactive analyzer, or submit your own file for analysis.