Malicious PDF — malware analysis report

Static analysis result for SHA-256 cdc4469dd2450987…

MALICIOUS

PDF

35.9 KB Created: 2021-05-20 13:00:45 +07:00 Authoring application: wkhtmltopdf 0.12.6 (via Qt 4.8.7) First seen: 2021-11-21
MD5: a17080ed5e427972e8aee419a12e3e6e SHA-1: eddce97645868964a939d9e6ec809f7021be855f SHA-256: cdc4469dd2450987c1e46c91df0f59a3ff5e42c5acd2024f502bb7f51b3379d2
100 Risk Score

Malware Insights

MITRE ATT&CK
T1566.001 Spearphishing Attachment

The PDF contains embedded links that redirect to known malicious infrastructure, specifically advertising a 'free Robux generator'. The document body also contains explicit calls to action like 'CLICK HERE TO ACCESS ROBLOX GENERATOR'. This suggests a phishing or scam attempt designed to trick users into visiting a malicious site, likely to steal credentials or deliver further malware.

Machine Learning

  • Nyx PDF Classifier malicious score 0.8925

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/431946152/robux-match.com-free-robux-game-hack In PDF document text
    • http://digilib.akamigas.ac.id/akamigaslib/repository/buy-tiktok-likes-free_GM835599320.pdfIn PDF document text
    • http://digilib.akamigas.ac.id/akamigaslib/repository/get-free-tiktok-followers_GM835599320.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_off00002dbb.bin decompressed-pdf-stream PDF FlateDecoded stream at offset 0x2DBB 25724 bytes
SHA-256: f92a2a2bace7cc62c9eb98480d6c9612413d63ea98a5b95012a129c9284d420d
font_01_sfnt_off00006932.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x6932 18904 bytes
SHA-256: 4a85ad6ffc73ad9b3f41fceca22de32e3ce7595015d69f53ae753139e52ac9f7

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