Malicious PDF — malware analysis report

Static analysis result for SHA-256 a23ac21624ffddc6…

MALICIOUS

PDF

70.2 KB Created: 2020-11-11 11:35:16 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-10-05
MD5: f26e8ec993403aedf0b28d189a7d482d SHA-1: bf9d3fe779524992c538adea53b35d380ff27015 SHA-256: a23ac21624ffddc61746dedadf09a9ea054f3c2f41f10984e2d11bebaa7d23aa
214 Risk Score
Tags
free-cdn-ebook-manual-lure

Malware Insights

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

The PDF contains numerous embedded links, with one specifically identified as a malicious redirector. The heuristic 'PDF_MALICIOUS_REDIRECTOR_LINK' and 'PDF_SEO_LINK_FARM' indicate a strong attempt to direct users to harmful sites. The ML classifier and ClamAV detection further support the malicious nature of this file, suggesting it's part of a phishing or malware distribution campaign.

Machine Learning

  • Nyx PDF Classifier malicious score 0.9998

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
  • 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.
  • 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://traffmen.ru/123?keyword=oldways+mediterranean+diet+pdf In PDF document text
    • https://cdn-cms.f-static.net/uploads/4420915/normal_5f9ef1b69581f.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4403406/normal_5f9bf2566ed04.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4388405/normal_5f93332495ff4.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4419626/normal_5f9e90b7ae343.pdfIn PDF document text
    • https://zafigitelerom.weebly.com/uploads/1/3/4/3/134338481/tagurek.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4409396/normal_5faa2cd18fcf7.pdfIn PDF document text
    • http://www.ascendercorp.com/In PDF document text
    • http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
    • https://uploads.strikinglycdn.com/files/d6e964f0-7a30-4980-8cf3-67bb311c8c59/18323101883.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/c4ab4133-3f04-4105-83c2-6c2490245794/todunibitamijetivatu.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/32e6ef04-8536-4051-b20d-18ba6f7e7941/vobeketuwekotuganinel.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/0cf66e1d-6d0c-4cbc-9420-d425e74e8158/12_double-bevel_sliding_compound_miter_saw_with_laser_guide.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/06a6cde7-ab96-46f1-b594-af799ba9c880/61086179461.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/5eb4f0a6-5832-4ab1-bbef-3bd080269d19/now_you_see_me_gomovies.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/2a7215f6-28c4-4f41-b1f5-bb1d578dcf1c/86512767904.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/87f85e68-c940-4b4e-9983-a7d95c8be6a3/4776342393.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/9cda89e8-c762-46e2-990d-9966b61a54a2/lexavaresibamo.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/0b5e1711-e3a6-4066-b562-aca5fa91e662/10049988566.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_off0000d743.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xD743 5408 bytes
SHA-256: b2461c210c91605a41349a2cb8a11d6a10f7774331a031a1784ea9c1ae9dbb04
font_01_sfnt_off0000e9a7.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xE9A7 10028 bytes
SHA-256: 0b50c08d4fcb9ca58963b29a9d0ac87ab99fe7b26002b51408aba7dc956fa083

Open this report in the interactive analyzer, or submit your own file for analysis.