Malicious PDF — malware analysis report

Static analysis result for SHA-256 fab7505508127d73…

MALICIOUS

PDF

41.5 KB Created: 2020-11-07 09:55:10 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-10-04
MD5: 38435fec18288e533e35dec19f7b123f SHA-1: e4e8605b35af92e914a6979d25d3f4bb27aeb15c SHA-256: fab7505508127d739eaf0d5f36aef72c483538501099a82e251e8bd297aacdfa
96 Risk Score

Malware Insights

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

This PDF document was flagged as malicious by an ML classifier. The file embeds a large number of external links characteristic of an SEO link farm. Specific URLs and indicators for this sample are listed in the indicators section.

Machine Learning

  • Nyx PDF Classifier malicious score 0.9999

Heuristics 4

  • 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://traffking.ru/123?keyword=asphalt+9+cheats+ios PDF link annotation
    • https://neziraninev.weebly.com/uploads/1/3/4/5/134502601/wumaxitelakevovunef.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4393188/normal_5f8f78fcf0489.pdfIn PDF document text
    • https://woxejisuwu.weebly.com/uploads/1/3/4/3/134322210/1420076.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4369494/normal_5fa60dcfd0e94.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/nitajosasa/answers_for_human_population_growth_lab.pdfIn PDF document text
    • https://s3.amazonaws.com/mijedusovineti/56553703318.pdfIn PDF document text
    • https://s3.amazonaws.com/mewezekilafef/minecraft_shaders_1.8.9_download.pdfIn PDF document text
    • https://s3.amazonaws.com/ruzaganog/payday_loans_las_vegas_24_hours.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_off00006460.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x6460 5068 bytes
SHA-256: 8670bf6c95fa1442d775f8e2394f63ab01bc45ec4313204c84982c2d86e4e011
font_01_sfnt_off0000759d.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x759D 10696 bytes
SHA-256: 1510742ad69a5bcc0523283c8334d097d98c5dd38d2f47226e5f3835716e3496