Malicious PDF — malware analysis report

Static analysis result for SHA-256 1c538c0bd02e96f7…

MALICIOUS

PDF

73.7 KB Created: 2020-11-13 17:41:15 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-10-04
MD5: 4f55aeaca2422cd719d973c40163307e SHA-1: 95a579edc5f12ed6e37e5632681cfb455c459a7b SHA-256: 1c538c0bd02e96f737a87db3aef23e74141d6bc1c76e8218b19c72ef604f24ea
136 Risk Score
Tags
free-cdn-ebook-manual-lure

Malware Insights

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

This PDF document was flagged as malicious by ClamAV and an ML classifier. The file routes users through malicious redirector infrastructure. Specific URLs and indicators for this sample are listed in the indicators section.

Machine Learning

  • Nyx PDF Classifier malicious score 0.9998

Heuristics 5

  • ClamAV: Pdf.Phishing.Trojan-d2528dad23a95d95-d2528dad23a95d95-10044376-0 critical CLAMAV_DETECTION
    ClamAV detected this file as malware: Pdf.Phishing.Trojan-d2528dad23a95d95-d2528dad23a95d95-10044376-0
  • Payment redirection / bank-detail change lure high SE_PAYMENT_REDIRECT_LURE
    Document describes new or changed bank, wire, ACH, IBAN, SWIFT, or routing instructions — a high-value business-email-compromise 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://trafffe.ru/strik?utm_term=python+machine+learning+sebastian+ra PDF link annotation
    • https://cdn-cms.f-static.net/uploads/4393179/normal_5f9653b170d3b.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4392462/normal_5f912fe7cb324.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4382189/normal_5f932c7667b26.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4365546/normal_5f8c21c781969.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4367310/normal_5f8742303b5fd.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4404105/normal_5faadb73cb5e1.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4380523/normal_5fabb7a896a56.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/wekibik/whos_turn_is_it_games.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/875625f9-bbe1-4e76-8ba7-e53cb65df1c7/19126977276.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/cc19d65f-0d0f-4835-a737-f7bc8cde1440/suzivenafufawizavilu.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/600801f5-668a-4183-afac-c0d7c6925860/masters_of_doom_david_kushner.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/dee28e5e-3bfc-445b-975a-b3232cf878d7/34018134999.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/6377e981-e5fe-4531-9638-afb1cbc5123c/winezivulanonuri.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/ac1e06d1-b917-4f96-adca-3f0268395ad0/47202487761.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_off0000e1de.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xE1DE 5456 bytes
SHA-256: ae1772e8f0aae02667617b019c518c5b54b1c4b7f9bffee889355b154195f052
font_01_sfnt_off0000f449.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xF449 11084 bytes
SHA-256: 21a761c5bccb021134fc16371eb03873d0e93cfe5a2e6f6c91656b8de5033b46

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