PDF static analysis report

Static analysis result for SHA-256 e5c9965efd00ca67…

SUSPICIOUS

PDF

30.5 KB Created: 2021-07-19 00:11:32 +07:00 Authoring application: wkhtmltopdf 0.12.6 (via Qt 4.8.7) First seen: 2021-09-16
MD5: 7e620e138270fd2f54d83761edaec740 SHA-1: 7c5035329f266a878bcc127c64c0eae5bcf4e05d SHA-256: e5c9965efd00ca674ce134efd72595a712fb08fdf06d2bc64a4bd407cec13c20
42 Risk Score

Malware Insights

MITRE ATT&CK
T1566.001 Spearphishing Attachment

The PDF document contains multiple embedded URLs and a prominent call-to-action phrase, 'CLICK HERE TO ACCESS TIKTOK GENERATOR', suggesting a phishing or scam attempt. The ML classifier also flagged the PDF as malicious. The presence of external URIs and the overall structure indicate an attempt to redirect the user to a malicious site, likely for credential harvesting or malware distribution.

Machine Learning

  • Nyx PDF Classifier malicious score 0.9384

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 http://netcdn.tw/app/835599320/free-likes-for-tiktok-game-hack PDF link annotation
    • http://www.danzamaniapergine.it/images/how-to-hack-roblox-to-get-robux_GM431946152.pdfIn PDF document text
    • http://www.danzamaniapergine.it/images/coin-master-free-spin-and-coin-links_GM406889139.pdfIn PDF document text
    • http://www.danzamaniapergine.it/images/how-to-get-free-robux-no-human-verification_GM431946152.pdfIn PDF document text
    • http://www.danzamaniapergine.it/images/free-robux-no-human-verification-or-survey-or-download_GM431946152.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
font_00_sfnt_off00002650.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x2650 22336 bytes
SHA-256: ae12b1d7ae04a3b9935e48d91961d3dee7ee8a48a3e0d05a952ffa861e3f7c2c
font_01_sfnt_off000057d8.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x57D8 17456 bytes
SHA-256: 308920fe04ba02bee84e9df39862d70534e91875b9399095fdfb0b81d81483e5