Malicious PDF — malware analysis report

Static analysis result for SHA-256 b6e2058102811446…

MALICIOUS

PDF

69.5 KB Created: 2020-08-29 21:46:49 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7)
MD5: 9a30c652bd99574f0affab6a9630bef3 SHA-1: ff7e98a0a98c1aff8369ab03166b471759950055 SHA-256: b6e205810281144621b1e37d79d4515fe85131ccae5398015bba13b8ace0d6e6
150 Risk Score

Malware Insights

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

The PDF contains a critical heuristic firing for a malicious redirector link, pointing to 'https://ttraff.ru/wix?keyword=restaurant+unique+selling+propositio'. The document body, though heavily obfuscated, contains this URL and text related to 'restaurant unique selling proposition', suggesting a lure. The ML classifier also strongly flagged this PDF as malicious. No scripts were extracted from this sample.

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.ru/wix?keyword=restaurant+unique+selling+propositio
    • https://static.usrfiles.com/ugd/b8c837_075814fc31294f309475eb99f4ffc81e.pdf
    • https://static.usrfiles.com/ugd/b8c837_ca6fec6fff4a4f048527095210d21361.pdf
    • https://static.usrfiles.com/ugd/b8c837_cad9da7fa409402b9399a38ecaa6359b.pdf
    • https://static.usrfiles.com/ugd/b8c837_f38d507272ba4bb5ac3f24534b1883b7.pdf
    • https://cdn.shopify.com/s/files/1/0434/5656/1318/files/artificial_intelligence_and_machine_learning_download.pdf
    • https://cdn.shopify.com/s/files/1/0431/9654/7230/files/35851737716.pdf
    • https://cdn.shopify.com/s/files/1/0428/9835/8432/files/3100392900.pdf
    • https://cdn.shopify.com/s/files/1/0431/5453/8658/files/pikafojudapunulir.pdf
    • https://cdn.shopify.com/s/files/1/0431/1659/3312/files/80959855106.pdf
    • https://cdn.shopify.com/s/files/1/0433/0687/7080/files/magej.pdf
    • https://cdn.shopify.com/s/files/1/0448/0489/8978/files/speak_up_magazine_mexico.pdf
    • https://static.usrfiles.com/ugd/b8c837_a6513caed15544eba0daf023de20d427.pdf
    • https://static.usrfiles.com/ugd/8b2c09_a7f996f5b8694678bca6cbfcd60c8c0a.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_off0000d302.bin
1c3ba02aff1d881519e8d95aa4c0800ce85acfac3d652749bcd9e819f730fa0a		 pdf-font-stream PDF embedded font (sfnt) at offset 0xD302 5120 bytes
font_01_sfnt_off0000e479.bin
154c0fc2863721f27e13cc054e8e2e9511b1a2a82e7ce55c4b8f63a8cfc9f4d5		 pdf-font-stream PDF embedded font (sfnt) at offset 0xE479 10756 bytes

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