Malicious PDF — malware analysis report

Static analysis result for SHA-256 f26f235b7ebee8b6…

MALICIOUS

PDF

42.7 KB Created: 2020-11-04 14:25:32 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-10-04
MD5: 6e2f898a34e3ca588f5df8d5443a08a3 SHA-1: 05dd66b5537b8f4d01a1d2ff39e7d7f576b76b54 SHA-256: f26f235b7ebee8b64a8e63613d8c481b68394ebe1122db053b694ad1a0e1f29c
154 Risk Score

Malware Insights

MITRE ATT&CK
T1566.001 Spearphishing Attachment

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 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 1.0000

Heuristics 4

  • 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://ggtraff.ru/123?keyword=matlab+vs+python+for+machine+learning In PDF document text
    • https://cdn-cms.f-static.net/uploads/4372373/normal_5f887147621e1.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4366381/normal_5f871387c017d.pdfIn PDF document text
    • https://dokakida.weebly.com/uploads/1/3/1/3/131380589/luvumifed-buzud.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4413013/normal_5f980f8ad989a.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4402504/normal_5f973a2341c38.pdfIn PDF document text
    • https://zemodeviwiteg.weebly.com/uploads/1/3/4/3/134351550/rikenakufekinatogur.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4368249/normal_5f8b860a310f3.pdfIn PDF document text
    • https://lugeluwad.weebly.com/uploads/1/3/4/3/134328935/b06ae2056b3.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/pesetufavo/aisi_4130_mechanical_properties.pdfIn PDF document text
    • https://s3.amazonaws.com/podawakumepewez/21391188148.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/21e3d65d-9d45-4117-b0a4-76babfa484b1/ruger_10_22_takedown_manual.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/8aa03341-7cd9-44af-a761-276ff4c76604/23052857129.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/7b27da7a-b497-4130-8f77-8c5936434dac/33537144125.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_off000068ec.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x68EC 5736 bytes
SHA-256: f8ffa787bcf47033588eb93e801e9a064090fe83b6e7291f71af0d2163967da0
font_01_sfnt_off00007c6a.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x7C6A 9744 bytes
SHA-256: 28f20b4460593d0ce788c5eb5e5db2262bb4f733eb6653a5ffda260c90161df0