Malicious PDF — malware analysis report

Static analysis result for SHA-256 f49b42c0384b445b…

MALICIOUS

PDF

71.1 KB Created: 2020-12-21 15:43:35 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-09-15
MD5: 54bc17861a94a288f60b6f43140f0e49 SHA-1: 090ae1afeabaad999b97c783c3070fb20302a676 SHA-256: f49b42c0384b445bd861e3b39c5dedd66b92ee654cac40f1167e77bff56c3b99
194 Risk Score

Malware Insights

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

The PDF file contains a link disguised with a lure about 'popular pick up trucks uk'. This link redirects to the URL https://traffine.ru/strik?utm_term=popular+pick+up+trucks+uk, which is flagged as malicious redirector infrastructure. The ML classifier and ClamAV detection strongly indicate this PDF is a phishing or trojan delivery mechanism.

Machine Learning

  • Nyx PDF Classifier malicious score 0.9997

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.
  • Image lure linking to an SEO redirector (free-download phishing) high PDF_SEO_UTM_REDIRECTOR_LINK
    PDF embeds an image with little or no body text and a clickable link to a multi-word utm_term / FeedBurner-proxied SEO redirector — the 'free ebook / solution-manual / document download' phishing family that ranks for natural-language search queries and routes the user into a payload/redirect chain. The PDF carries no exploit; the risk is the linked destination. Flagged structurally (image lure + SEO redirector) so it does not depend on a ClamAV/ML signature, and regardless of how many filler text pages the lure carries.
  • 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://traffine.ru/strik?utm_term=popular+pick+up+trucks+uk In PDF document text
    • https://cdn-cms.f-static.net/uploads/4404313/normal_5f99f343b3a0b.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4413578/normal_5f9b5530c8556.pdfIn PDF document text
    • http://www.ascendercorp.com/In PDF document text
    • http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
    • https://uploads.strikinglycdn.com/files/e0f3bbd0-b50f-4075-8ca3-eb3fed1206db/sasawuwuwebanomosevir.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/c2875b8f-4067-43e2-aa67-cb7fa9ffae06/defopok.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/b0699dd8-242a-49dc-b723-f93c52da69c3/27224152604.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/388a8417-7c26-42f6-b20c-e5b6e2381c66/98852163707.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/bd3a310c-d407-4729-9456-0d6e118ab608/gods_generals_table_of_contents.pdfIn PDF document text
    • https://s3.amazonaws.com/naxozelozude/prednisone_deltasone_davis_drug_guide.pdfIn PDF document text
    • https://s3.amazonaws.com/novipaliwid/apple_watch_3_android_smartphone.pdfIn PDF document text
    • https://s3.amazonaws.com/niporofez/76288176927.pdfIn PDF document text
    • https://s3.amazonaws.com/megodipewukitoj/vlookup_in_excel_using_multiple_sheets.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/d3ba2312-7049-4ffc-9b82-ea3458111fd2/88067496183.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/ec6bc212-86fd-4479-9753-ac8e212c0124/merizaso.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/045ac734-25df-4106-8bbc-8dd682518309/17636811532.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_off0000db53.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xDB53 4992 bytes
SHA-256: 344ebe0dbbc5bea90c2f49815d86ddab128c7a68f8dcff540c628eb695caa612
font_01_sfnt_off0000ec59.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xEC59 10460 bytes
SHA-256: 9fcf8841538d0dfd73644d6e28e30365107c78488b664bb4a47cc0e97c9c4336