Malicious PDF — malware analysis report

Static analysis result for SHA-256 edae92bc8a357822…

MALICIOUS

PDF

66.8 KB Created: 2020-11-25 13:45:37 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-10-11
MD5: b7401ec8b5612dc4df72b1ff0cee1ba7 SHA-1: 1848cfaa5b32b704936549155854b76736d6d6d2 SHA-256: edae92bc8a357822cac6de50c19b9b0a380fa0b2e4ae2c74e16d08cced009a23
214 Risk Score

Malware Insights

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

The PDF contains numerous embedded links, with one critical heuristic identifying a link to known malicious redirector infrastructure. The ML classifier and ClamAV detection strongly indicate malicious intent. While no scripts were explicitly extracted, the presence of many external links suggests the document is designed to redirect users to potentially harmful content, likely for phishing or malware delivery.

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/strik?utm_term=civil+war+political+cartoons+explained In PDF document text
    • https://cdn-cms.f-static.net/uploads/4449397/normal_5fa88021c935f.pdfIn PDF document text
    • https://gapixupat.weebly.com/uploads/1/3/1/6/131637313/9558733.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4403807/normal_5fa9e78ea9297.pdfIn PDF document text
    • https://banavodix.weebly.com/uploads/1/3/4/6/134687022/supekunobunumanusaje.pdfIn PDF document text
    • https://vesekukoluvili.weebly.com/uploads/1/3/4/7/134759730/3056542.pdfIn PDF document text
    • https://mufalugibesenu.weebly.com/uploads/1/3/1/4/131453255/1042083.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/gixirojozogufux/81923604778.pdfIn PDF document text
    • https://s3.amazonaws.com/nuxulikiwab/fudetevesaxiranogef.pdfIn PDF document text
    • https://s3.amazonaws.com/tibitexil/padupemel.pdfIn PDF document text
    • https://s3.amazonaws.com/pibabopuduj/12988029461.pdfIn PDF document text
    • https://s3.amazonaws.com/sinamozagemoger/58029121651.pdfIn PDF document text
    • https://s3.amazonaws.com/mawesenasijoser/lajojatazepulaxoxaxedid.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/cc412bc1-a017-444e-be78-a9e2b4c4a296/cell_membrane_and_transport_graphic.pdfIn PDF document text
    • https://s3.amazonaws.com/podawakumepewez/dental_hygiene_university_interview_questions_and_answers.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/332987ca-e74f-4e6f-b78d-42d5ddec1f93/95888021226.pdfIn PDF document text
    • https://s3.amazonaws.com/lorifumofelu/13891727669.pdfIn PDF document text
    • https://s3.amazonaws.com/kavugusepe/gerokegej.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_off0000c90c.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xC90C 5192 bytes
SHA-256: 76b9d318976b73378f7e4fb67ca33671ec42d515568de2402c4ca72e8332561a
font_01_sfnt_off0000dad0.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xDAD0 10692 bytes
SHA-256: 0555626b97c1853f10209340f6b3ddc955ca50504859369cba58f81649b253c7

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