Malicious PDF — malware analysis report

Static analysis result for SHA-256 d4c26bcd679fc24c…

MALICIOUS

PDF

45.7 KB Created: 2020-08-31 01:32:43 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7)
MD5: bb0a51633f6d58b6214ee783dae87c53 SHA-1: 650c9618e9b7638d028b698c2ce82855bd98db26 SHA-256: d4c26bcd679fc24ca56635056a31e19d890a7619a838fe1ab4241901a7ff1efd
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 as a search result for "lean on me mp3 download major lazer". This heuristic firing, combined with the ML classifier's high confidence, indicates a malicious intent to redirect the user to harmful content. The document also contains a large number of embedded links, many pointing to Shopify domains, which is characteristic of SEO link farm tactics used to obscure malicious destinations.

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=lean+on+me+mp3+download+major+lazer
    • https://static.usrfiles.com/ugd/b8c837_2a1dcee903664deeb25f85924ca5adc6.pdf
    • https://static.usrfiles.com/ugd/de65f7_598c42fb65644e6abc574783089c74c8.pdf
    • https://static.usrfiles.com/ugd/e3c460_bc783ccf9b8840f2a7914a655952dad0.pdf
    • https://cdn.shopify.com/s/files/1/0448/3471/7858/files/20281514960.pdf
    • https://cdn.shopify.com/s/files/1/0428/9619/5737/files/36374132246.pdf
    • https://cdn.shopify.com/s/files/1/0430/0383/8615/files/62513689700.pdf
    • https://cdn.shopify.com/s/files/1/0435/7101/9935/files/parowa.pdf
    • https://cdn.shopify.com/s/files/1/0440/2115/3957/files/microsoft_access_database_templates.pdf
    • https://cdn.shopify.com/s/files/1/0440/0198/4662/files/although_despite_however_grammar_rules.pdf
    • https://cdn.shopify.com/s/files/1/0428/3029/9292/files/internet_of_things_journal.pdf
    • https://cdn.shopify.com/s/files/1/0432/7325/7116/files/zobita.pdf
    • https://cdn.shopify.com/s/files/1/0430/3500/0981/files/veposikirumibugu.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 3

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off0000534d.bin
dc55a18eb2d6b4b484d5f497756f88713569bb67f3b97899ab53d016a16161e5		 pdf-font-stream PDF embedded font (sfnt) at offset 0x534D 5252 bytes
font_01_sfnt_off00006533.bin
70bd22d05e31bcb6064f361bdbb415c408d1a4567ca7b3a5a77ca4ca72bc5c4c		 pdf-font-stream PDF embedded font (sfnt) at offset 0x6533 14592 bytes
font_02_sfnt_off00008e33.bin
98363d42f2ad146a5282b0dad8afe0d82f8d613bcac7f59109d10443ebbc86c4		 pdf-font-stream PDF embedded font (sfnt) at offset 0x8E33 18068 bytes

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