Malicious PDF — malware analysis report

Static analysis result for SHA-256 c05fb3f4fed94666…

MALICIOUS

PDF

70.9 KB Created: 2020-11-13 04:56:52 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-10-04
MD5: 2c49e1386fb25bb653efc4720a725041 SHA-1: 199a8f3110a48c19686b48358950475844407e61 SHA-256: c05fb3f4fed94666098412615cad52a262ca2137ff1891922c389279ac69bcbe
182 Risk Score
Tags
free-cdn-ebook-manual-lure

Malware Insights

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

The PDF contains heuristics indicating it is a malicious redirector link, specifically pointing to 'ggtraff.ru'. The document body, though heavily obfuscated, contains text that, when combined with the heuristics, suggests a lure for payment or invoice-related phishing. The ML classifier also strongly flagged this PDF as malicious.

Machine Learning

  • Nyx PDF Classifier malicious score 0.9998

Heuristics 6

  • 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.
  • Callback phishing phone lure medium SE_CALLBACK_LURE
    Document asks the user to call a phone number in billing, refund, subscription, fraud, or security context — consistent with callback phishing or tech-support scam patterns. Suppressed for legitimate-issuer (IRS/gov/official-form) documents that carry no urgency or charge/dispute escalation.
  • Fake invoice / payment lure low SE_INVOICE_LURE
    Document contains invoice or payment language paired with an action verb — useful context when combined with link, macro, or attachment indicators
  • 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://ggtraff.ru/aws?utm_term=speciell+information+autogiro+nordea+csn In PDF document text
    • https://cdn-cms.f-static.net/uploads/4370080/normal_5f8d0df4f05d8.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4369508/normal_5fa0d27081fa1.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4408462/normal_5f9e678d8e2e7.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4426974/normal_5f9e514933751.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4371788/normal_5f8f85cabc609.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4407991/normal_5f9fb6bd0c992.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4369502/normal_5f8e20d394ebf.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4418762/normal_5f9b04503f52a.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4416934/normal_5fa55cd9e9a4a.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://s3.amazonaws.com/zepifudoxapo/davao_city_national_high_school_address.pdfIn PDF document text
    • https://s3.amazonaws.com/jamokaroxoj/therapy_aids_worksheets_dbt.pdfIn PDF document text
    • https://s3.amazonaws.com/legenapi/voter_list_rajasthan_2014_download.pdfIn PDF document text
    • https://s3.amazonaws.com/vufuzewasi/daily_mail_mash_report.pdfIn PDF document text
    • https://s3.amazonaws.com/vavabi/penel.pdfIn PDF document text
    • https://s3.amazonaws.com/rijedifatufod/ancient_egypt_packets_for_6th_graders.pdfIn PDF document text
    • https://s3.amazonaws.com/zepifudoxapo/ragnarok_high_priest_leveling_guide.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_off0000c988.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xC988 5460 bytes
SHA-256: f95579143db0b239487b35d2513eb1ad25ed690b32d655284ad48b0ae9ff65eb
font_01_sfnt_off0000dbea.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xDBEA 10824 bytes
SHA-256: f49382cf3384bba4a7d9d1bea08d03ee40478e786f5a0ab39262ed07f7cb8afa
font_02_sfnt_off0001000c.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x1000C 4324 bytes
SHA-256: cd94ef65598b1866d0653cdd88243d989fd81359c0e770c2d3a4858f1c2f6d34

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