PDF static analysis report

Static analysis result for SHA-256 ed48261b334e9591…

SUSPICIOUS

PDF

35.3 KB Created: 2021-05-24 22:55:37 +07:00 Authoring application: wkhtmltopdf 0.12.6 (via Qt 4.8.7) First seen: 2021-09-27
MD5: b92f97849aeb205cc1f5463503fdbb7a SHA-1: af52995a2f93f5bc372da8fa73bad41c2e5c1781 SHA-256: ed48261b334e9591bd730895bf14f81b2a0a3e895ebe7b9e2e83e2e60d387baa
42 Risk Score

Malware Insights

MITRE ATT&CK
T1566.001 Spearphishing Attachment

The PDF document contains a lure for free TikTok coins, directing users to a URL that likely hosts a phishing page or malware. The presence of multiple related URLs and the ML classifier's high confidence score support this assessment. Although no scripts were directly extracted, the PDF structure and embedded URLs suggest an attempt to redirect users to malicious content.

Machine Learning

  • Nyx PDF Classifier malicious score 0.9508

Heuristics 3

  • 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
  • External URI info PDF_URI
    PDF contains an external URL action
  • 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/835599320/how-to-get-free-tiktok-coins-game-hack PDF link annotation
    • http://amcoeur.org/images/minecraft-java-free-download_GM479516143.pdfIn PDF document text
    • http://amcoeur.org/images/how-to-get-free-robux-without-doing-anything_GM431946152.pdfIn PDF document text
    • http://amcoeur.org/images/roblox-promo-codes-free-robux_GM431946152.pdfIn PDF document text
    • http://amcoeur.org/images/free-minecraft-maps_GM479516143.pdfIn PDF document text
    • http://amcoeur.org/images/minecraft-life-hacks_GM479516143.pdfIn PDF document text
    • http://en.wikipedia.org/wiki/MIT_LicenseIn PDF document text

Extracted artifacts 2

Files carved from inside the sample during analysis.

FilenameKindSourceSize
stream_002_off00002ef1.bin decompressed-pdf-stream PDF FlateDecoded stream at offset 0x2EF1 26320 bytes
SHA-256: a8eed896eab2f20ce99dbdf7a4e43e3a1042aaef87259be3b45f7b2a9fe93357
font_01_sfnt_off00006aaf.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x6AAF 17620 bytes
SHA-256: 5e08b925a0f8fe2d80e54c1999b1c3763f905cccf1acde0f5739739445e42325