Malicious PDF — malware analysis report

Static analysis result for SHA-256 eed3341ac7083d4d…

MALICIOUS

PDF

42.4 KB Created: 2020-08-29 22:14:27 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7)
MD5: a820d27bb6f76f9078ce0186b984867a SHA-1: ab91888aae318be09ea671594f7a970c95c0e7ab SHA-256: eed3341ac7083d4d0b08f068f488765ab4af7bffc59ec90a4f358ab88a791056
150 Risk Score

Malware Insights

MITRE ATT&CK
T1566.002 Spearphishing Attachment T1059.001 PowerShell

The PDF contains a link to a known malicious redirector, ttraff.com, which is disguised with a lure related to 'Yugioh episode 7'. The document body, though heavily obfuscated, also contains this URL and other benign-looking PDF links, suggesting a link farm or redirection tactic. The ML classifier strongly flagged this PDF as malicious, supporting the conclusion that it is designed to redirect users to harmful content.

Machine Learning

  • Nyx PDF Classifier malicious score 1.0000

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.
  • Small PDF contains mass external PDF link farm critical PDF_SEO_LINK_FARM
    Small PDF contains many clickable external PDF links, mostly clustered on one host. This matches generated SEO/link-farm PDF carriers used to route users into malicious or unwanted-software delivery chains, rather than a normal document citation pattern.
  • 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://ttraff.com/wix?keyword=yugioh+episode+7
    • https://static.usrfiles.com/ugd/b8c837_9c9e79d1581144c1ba5652b781978cfe.pdf
    • https://static.usrfiles.com/ugd/b8c837_f27b1b26760645159a8becefc4c798b6.pdf
    • https://static.usrfiles.com/ugd/f3ecbe_7d5f9c0a52e04cc89838518ebd977ab2.pdf
    • https://static.usrfiles.com/ugd/405339_b00d8238eb854d46a75ebc2d9425ab2b.pdf
    • https://static.usrfiles.com/ugd/b8c837_8fe391e1ecc7423fbb588e96e9cb1cfc.pdf
    • https://cdn.shopify.com/s/files/1/0434/7651/7014/files/53899666914.pdf
    • https://cdn.shopify.com/s/files/1/0430/5443/2410/files/4718402494.pdf
    • https://cdn.shopify.com/s/files/1/0435/0846/5828/files/algorithms_and_data_structures_in_python_srinivasan_jagannathan.pdf
    • https://static.usrfiles.com/ugd/b8c837_746d4a949d6e427fb7b7721d2a08138d.pdf
    • https://static.usrfiles.com/ugd/b8c837_2f4f8c30bc434cc4970cbe52abca9738.pdf
    • https://static.usrfiles.com/ugd/b8c837_1a6e49bd056343b98de48587020d11e8.pdf
    • https://static.usrfiles.com/ugd/b8c837_6b1e24127d5c4175b889c175a960c520.pdf
    • https://static.usrfiles.com/ugd/b8c837_5efe5833b3c54858ac7df3b96a4a7ffc.pdf
    • https://static.usrfiles.com/ugd/b8c837_f63fa5da256941cfae0d6e715e33bf67.pdf
    • https://static.usrfiles.com/ugd/b8c837_be614cb940534a99ba493049139c3711.pdf
    • https://static.usrfiles.com/ugd/4d6844_3807e3e092d14b3fb1e178adeefff1b7.pdf
    • http://www.w3.org/1999/02/22-rdf-syntax-ns#
    • http://purl.org/dc/elements/1.1/
    • http://ns.adobe.com/pdf/1.3/
    • http://ns.adobe.com/xap/1.0/
    • http://ns.adobe.com/xap/1.0/mm/
    • http://ns.adobe.com/xap/1.0/rights/

Extracted artifacts 2

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off00006975.bin
985fa4225d8a4c65b5e33c1c9aa078214e1728fecf4c0d66e88618e71fba642e		 pdf-font-stream PDF embedded font (sfnt) at offset 0x6975 4924 bytes
font_01_sfnt_off00007a44.bin
0f1b31abb0d0c80f592ab46fbc468fb1561ae92c932a2d9a03ef8ea5cab30c13		 pdf-font-stream PDF embedded font (sfnt) at offset 0x7A44 10120 bytes

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