Malicious PDF — malware analysis report

Static analysis result for SHA-256 5ef6c6196c647383…

MALICIOUS

PDF

71.3 KB Created: 2020-08-30 14:45:06 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7)
MD5: 8263e9cdc7ffb74c293eefd8cab02abe SHA-1: a4cd0196183ec1c749f25721a3819672d5b139d9 SHA-256: 5ef6c6196c647383608141f9ec0e842cc3f2bcf76118cb55445b71b1965cbf61
194 Risk Score

Malware Insights

MITRE ATT&CK
T1566.001 Spearphishing Attachment T1059.007 JavaScript

The PDF document contains a lure related to a 'viewsonic va2226w no signal' issue, which is a pretext for an advance-fee scam. It also functions as a link farm, directing users to numerous other PDFs, with one primary link pointing to known malicious redirector infrastructure. The ML classifier strongly flagged this PDF as malicious, supporting the assessment of an advance-fee lottery/parcel scam.

Machine Learning

  • Nyx PDF Classifier malicious score 1.0000

Heuristics 5

  • 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.
  • Advance-fee lottery/parcel scam lure high SE_ADVANCE_FEE_SCAM_LURE
    Document contains lottery/beneficiary or prize language together with large-value draft/funds wording and parcel/courier delivery requirements. This is a classic advance-fee fraud document shape.
  • Object number defined twice with different bodies info PDF_DUPLICATE_OBJ_BODY_INCREMENTAL
    The same indirect object (N G) is defined more than once with different body bytes. First-wins and last-wins readers will resolve different content, which is a parser-confusion shape used by targeted PDFs. Body-only differences are common in benign incremental updates, so severity is raised only when the duplicate carries active content.
  • 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=viewsonic+va2226w+no+signal
    • http://www.ascendercorp.com/
    • http://www.ascendercorp.com/typedesigners.html
    • https://cdn.shopify.com/s/files/1/0429/0212/6755/files/jewutiradinev.pdf
    • https://cdn.shopify.com/s/files/1/0432/3855/5805/files/tuzosirebixadegujon.pdf
    • https://cdn.shopify.com/s/files/1/0429/2388/4711/files/95291630630.pdf
    • https://cdn.shopify.com/s/files/1/0435/4618/1787/files/nesn_bruins_schedule_2018.pdf
    • https://cdn.shopify.com/s/files/1/0432/6876/7912/files/mukazekarizovif.pdf
    • https://static.usrfiles.com/ugd/2c608b_95b23d8922f241e0be8f83f956bdb087.pdf
    • https://static.usrfiles.com/ugd/d7ba0f_a623a7b6e432439e8612430f326bd7c5.pdf
    • https://static.usrfiles.com/ugd/0e2875_b3b02e3b533c4e6183833c56695ff51f.pdf
    • https://static.usrfiles.com/ugd/b8c837_3cae11349c0f48c1aa905d019fc1a3b5.pdf
    • https://static.usrfiles.com/ugd/b8c837_9de39514f661457f85d44fcf7b7d49b6.pdf
    • https://static.usrfiles.com/ugd/b8c837_80314a30d10c4facaac57f5f2912e18e.pdf
    • https://static.usrfiles.com/ugd/d1c05f_86cd7fc7601149fd9ec6e4248696cdb2.pdf
    • https://static.usrfiles.com/ugd/b7082a_7f75c37c331c43e29eca5c0ffd8a02e6.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/
    • http://scripts.sil.org/OFL

Extracted artifacts 2

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off0000d92b.bin
15f3bae32009adf911c37a0f9a77bb49059ae0893928c3cae5dd9ac344b918d5		 pdf-font-stream PDF embedded font (sfnt) at offset 0xD92B 5272 bytes
font_01_sfnt_off0000eb4f.bin
29c08c88215119e56159db3dcc89eec11a0c8c2dc89536f554f8ba83477a6632		 pdf-font-stream PDF embedded font (sfnt) at offset 0xEB4F 10992 bytes

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