Malicious PDF — malware analysis report

Static analysis result for SHA-256 f932113654302025…

MALICIOUS

PDF

40.1 KB Created: 2021-05-11 12:40:04 +07:00 Authoring application: wkhtmltopdf 0.12.6 (via Qt 4.8.7) First seen: 2021-09-18
MD5: efc9a104ca9a3586e2232be378e7edce SHA-1: abd77765ca3fc29c1d914d8555406b5843e49801 SHA-256: f932113654302025edd46107f0619ed308a056a4a618753931d7c216a438febc
70 Risk Score

Malware Insights

MITRE ATT&CK
T1566.001 Spearphishing Attachment

The PDF document contains a link to a known malicious redirector, disguised as a download for 'Coin Master Mod Version'. The heuristic 'PDF_MALICIOUS_REDIRECTOR_LINK' confirms this, and the presence of a 'download button' heuristic further supports the lure. The document's content and structure indicate an attempt to trick the user into visiting a malicious URL, likely to download malware.

Machine Learning

  • Nyx PDF Classifier clean score 0.0128

Heuristics 3

  • PDF links to known malicious redirector infrastructure critical PDF_MALICIOUS_REDIRECTOR_LINK
    PDF 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_BUTTON
    Document 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_URL
    One 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/406889139/coin-master-mod-version-free-download-3.4-4-game-hack In PDF document text
    • http://en.wikipedia.org/wiki/MIT_LicenseIn PDF document text

Related samples 8

Ranked by shared artifacts, heuristics, extracted URLs, CVEs, and signatures.

Full JSON: related samples API

Extracted artifacts 3

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off000036f4.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x36F4 25272 bytes
SHA-256: d952e08d4b0bfd1cadeaa0c9f68c6f0164e9671ba28275b725b31dfb2c559612
font_01_sfnt_off00007014.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x7014 2840 bytes
SHA-256: 3fb127b764b9d10f5525bc4de5ec8316de704409ccb0cf21cff3ad8a30d11676
font_02_sfnt_off000079c5.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x79C5 18728 bytes
SHA-256: ad22a82d8b3233edb38f402cd3e5013c6375fd48aabf823ea78d744f504abdc7

Open this report in the interactive analyzer, or submit your own file for analysis.