Malicious PDF — malware analysis report

Static analysis result for SHA-256 ee4ea066e91d9c4d…

MALICIOUS

PDF

75.9 KB Created: 2020-12-27 21:01:53 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-10-12
MD5: 05ce4baa49308366c9ee1a7ef9e326aa SHA-1: b451fbf3f9e7e00bf33938024036ee82d6acba6f SHA-256: ee4ea066e91d9c4d2eeb15bfab114f7924eb84a9f8d84868a7ee4d189fe9986e
156 Risk Score

Malware Insights

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

The PDF contains a large number of external links, identified as a link farm, which is a common tactic for SEO manipulation or directing users to malicious sites. The ClamAV detection and ML classifier strongly indicate malicious intent. While no scripts were explicitly extracted, the PDF structure and embedded URIs suggest it's designed to redirect users to potentially harmful content.

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
  • 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://traffset.ru/strik?utm_term=how+to+find+your+snapchat+friends+list PDF link annotation
    • https://cdn-cms.f-static.net/uploads/4415944/normal_5fa010ee9478b.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4378852/normal_5fb6a03541347.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4466675/normal_5fc117dfcab82.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4412154/normal_5f991a2690bf4.pdfIn PDF document text
    • https://fikuvigobe.weebly.com/uploads/1/3/4/5/134582673/357963.pdfIn PDF document text
    • https://static.s123-cdn-static.com/uploads/4479707/normal_5fc808f14b2ae.pdfIn PDF document text
    • https://cdn.sqhk.co/vopufepivipe/hfoggjg/verizon_messages_app_not_working_2019.pdfIn PDF document text
    • https://static.s123-cdn-static.com/uploads/4489414/normal_5fc68cfe19bb0.pdfIn PDF document text
    • http://www.ascendercorp.com/In PDF document text
    • http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
    • http://www.daltonmaag.com/In PDF document text
    • https://uploads.strikinglycdn.com/files/4252b186-1e4b-465f-826e-6c9430803891/tonanugejavitexasopo.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/e1cd1c4d-5e9e-4adc-bd34-c82125cc3cd5/3314914946.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/0139a343-e746-4932-aa32-1092bbf18717/16396144280.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 3

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off0000dcb1.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xDCB1 5280 bytes
SHA-256: 65a27e439666fcb66e0bb6943c401b1b43501ff4cf6608a0ef2b4656e53c9773
font_01_sfnt_off0000eead.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xEEAD 11264 bytes
SHA-256: 736e1419db7f206179a30f05841a4106ddaefc1a66d3f8f0d4888ca60c482e14
font_02_sfnt_off000114f0.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x114F0 4324 bytes
SHA-256: 05d2457133b820fa77aa358e30e9acfbad3f04c46ced9a37296d9311117db176

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