Malicious PDF — malware analysis report

Static analysis result for SHA-256 7ae7763b311a1536…

MALICIOUS

PDF

66.3 KB Created: 2020-11-18 05:55:25 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-10-04
MD5: 6e98b92aaeb968e1dde1e00c17045010 SHA-1: 70064becd90dfe6a9575b4970f0c910382cd2ad7 SHA-256: 7ae7763b311a153638ce0a49c7c2458edc5a5ae353d257e4c6797d313249635c
214 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 embeds a large number of external links characteristic of an SEO link farm and 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 0.9995

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?utm_term=general+conference+packet+for+youth In PDF document text
    • https://gapefupekud.weebly.com/uploads/1/3/1/8/131871489/lugononowit-sumavezarimi.pdfIn PDF document text
    • https://rikisuluwujufa.weebly.com/uploads/1/3/1/4/131452938/doteta.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/jenagubadopi/word_within_a_word_list_38.pdfIn PDF document text
    • https://s3.amazonaws.com/fatisake/definition_of_industrial_psychology.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/0ea7be5f-1ad2-4136-8fd2-95cf76912134/dana_dos_drages_download.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/ea0bf91b-4009-458b-8978-523c108c7d0a/kekaxer.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/11a7896f-3fe0-4b36-86c3-88bdb88f1fed/kore_filmleri_izle_trke.pdfIn PDF document text
    • https://s3.amazonaws.com/temujonuwu/incremental_plagiarism_quizlet.pdfIn PDF document text
    • https://s3.amazonaws.com/fedure/md513ll_a_ipad_generation.pdfIn PDF document text
    • https://s3.amazonaws.com/jixerubowi/ai_vs_machine_learning_vs_deep_learning.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_off0000c6de.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xC6DE 5120 bytes
SHA-256: 94d86d6ad93b4f4b128d5959df61ffe99cc339a108cc6d9f3c0ed5ca886f8f39
font_01_sfnt_off0000d857.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xD857 11080 bytes
SHA-256: f33215c9974e9bb213f293dcd1fae52d83bf10b6cd09b925e4d106d482a25b30

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