Malicious PDF — malware analysis report

Static analysis result for SHA-256 88b1da09cc7e2702…

MALICIOUS

PDF

81.4 KB Created: 2020-11-09 17:44:50 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-11-02
MD5: 6767ff7f019b65d9c67edd8a58341e90 SHA-1: ead0be8ed8ae8cdf1a8e28975c08af060249991c SHA-256: 88b1da09cc7e2702614e0e48d80c982de17519ea16f1f8b6e159e3435dc180ca
156 Risk Score

Malware Insights

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

The PDF file was identified as malicious by ClamAV and an ML classifier, exhibiting characteristics of a phishing or link farm distribution scheme. It contains numerous external links, including one to 'trafftec.ru', suggesting an attempt to redirect users to potentially harmful websites. The PDF structure itself appears to be generated, possibly to mask its malicious intent.

Machine Learning

  • Nyx PDF Classifier malicious score 0.9997

Heuristics 5

  • ClamAV: Pdf.Phishing.Trojan-d2568dad23a94d95-d2568dad23a94d95-10044375-0 critical CLAMAV_DETECTION
    ClamAV detected this file as malware: Pdf.Phishing.Trojan-d2568dad23a94d95-d2568dad23a94d95-10044375-0
  • 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.
  • External URI info PDF_URI
    PDF contains an external URL action
  • 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://trafftec.ru/aws?keyword=hoverboard+reviews+kids PDF link annotation
    • https://cdn-cms.f-static.net/uploads/4382789/normal_5fa1908dc6c0a.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4379719/normal_5f939057dc9d5.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4368503/normal_5f892b4729073.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4385417/normal_5f9c7ec95e646.pdfIn PDF document text
    • https://jakedekokobara.weebly.com/uploads/1/3/1/3/131381480/8536469.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4405662/normal_5f9c4bd464232.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4375093/normal_5fa5b1b5c869d.pdfIn PDF document text
    • https://kibutabez.weebly.com/uploads/1/3/4/4/134438896/5597925.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4421460/normal_5fa53b05ead3b.pdfIn PDF document text
    • https://ribuborufexegax.weebly.com/uploads/1/3/4/5/134507127/723929.pdfIn PDF document text
    • http://www.ascendercorp.com/In PDF document text
    • http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
    • https://s3.amazonaws.com/mamibis/67473341707.pdfIn PDF document text
    • https://s3.amazonaws.com/henghuili-files/data_clustering_algorithms_and_applications_aggarwal.pdfIn PDF document text
    • https://s3.amazonaws.com/pizivurapab/riding_with_death_painting.pdfIn PDF document text
    • http://www.w3.org/1999/02/22-rdf-syntax-ns#In PDF document text
    • http://purl.org/dc/elements/1.1/In PDF document text
    • http://ns.adobe.com/pdf/1.3/In PDF document text
    • http://ns.adobe.com/xap/1.0/In PDF document text
    • http://ns.adobe.com/xap/1.0/mm/In PDF document text
    • http://ns.adobe.com/xap/1.0/rights/In PDF document text
    • http://scripts.sil.org/OFLIn PDF document text

Extracted artifacts 2

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off000102c7.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x102C7 5104 bytes
SHA-256: d0aa018fed7793778eca0a035795820988a71a08bcdc796223a0018e1e255402
font_01_sfnt_off00011443.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x11443 11064 bytes
SHA-256: 8cad137202ac0eb2d17dde548e1d81201d2c1a20f5caa307f4960364a1b58797

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