Malicious PDF — malware analysis report

Static analysis result for SHA-256 79e6b692ee48e254…

MALICIOUS

PDF

48.8 KB Created: 2020-10-31 07:11:06 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7)
MD5: a5ad852ece9733e7f7dfb6bad72728bb SHA-1: 7fa001099ca820a0dd78b2fdfdd159284a20ce74 SHA-256: 79e6b692ee48e254de72359423def58de5295b571ab7b49e663e7c54c7bc9305
162 Risk Score

Malware Insights

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

The PDF contains a heuristic firing for a malicious redirector link and a link farm, suggesting a phishing or scam attempt. The document body contains text related to 'Amex spend manager quickbooks' and includes a URL that appears to be part of a phishing lure. Although no scripts were explicitly extracted, the presence of numerous embedded URLs and the 'SE_INVOICE_LURE' heuristic indicate a social engineering attempt to redirect the user to malicious infrastructure.

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.
  • Fake invoice / payment lure low SE_INVOICE_LURE
    Document contains invoice or payment language paired with an action verb — useful context when combined with link, macro, or attachment indicators
  • 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.me/123?keyword=amex+spend+manager+quickbooks
    • https://pesadosopovito.weebly.com/uploads/1/3/4/2/134235692/nizalopene.pdf
    • https://cdn-cms.f-static.net/uploads/4382194/normal_5f8ca33a87bbe.pdf
    • https://cdn-cms.f-static.net/uploads/4366347/normal_5f8b021fa74fc.pdf
    • https://kigibituridugu.weebly.com/uploads/1/3/4/3/134352406/6459059.pdf
    • https://cdn-cms.f-static.net/uploads/4426828/normal_5f9ab2119e8a0.pdf
    • https://cdn-cms.f-static.net/uploads/4415946/normal_5f9c9e9ebd944.pdf
    • http://www.ascendercorp.com/
    • http://www.ascendercorp.com/typedesigners.html
    • https://s3.amazonaws.com/rorives/35006920837.pdf
    • https://s3.amazonaws.com/sazixipame/absenteeism_introduction.pdf
    • https://s3.amazonaws.com/kudufigunabi/vm-250_vending_machine.pdf
    • https://s3.amazonaws.com/leguvefu/71674768232.pdf
    • https://s3.amazonaws.com/zupenafud/40409794595.pdf
    • https://s3.amazonaws.com/degagaziv/71526337682.pdf
    • https://s3.amazonaws.com/wixamupelinere/mejati.pdf
    • https://cdn.shopify.com/s/files/1/0266/7770/6943/files/fegigolarezitetugilevo.pdf
    • https://s3.amazonaws.com/mijedusovineti/nakikemetunodukadase.pdf
    • https://s3.amazonaws.com/fuwenoxuzasila/horse_virtual_worlds.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_off00007e08.bin
17ebc1ad51156543851b09e535d0c903c6fcee1487564ada715852e107abc665		 pdf-font-stream PDF embedded font (sfnt) at offset 0x7E08 5748 bytes
font_01_sfnt_off00009180.bin
310173f0d73abc8d4d93c9c8afceb4f2d1ba0b4b2db2be7d0234e25e4a43552f		 pdf-font-stream PDF embedded font (sfnt) at offset 0x9180 10880 bytes

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