Malicious PDF — malware analysis report

Static analysis result for SHA-256 24149ec50e53afa5…

MALICIOUS

PDF

44.1 KB Created: 2020-10-30 23:11:39 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-09-16
MD5: a67bdcff7d899bab1fc60563dbdfb382 SHA-1: 0874432e66e0a4fd221135370701e9ef4c2c3f0d SHA-256: 24149ec50e53afa5ec802a403c2d92ddd63925c264456c85da2129515d38330a
154 Risk Score
Tags
free-cdn-ebook-manual-lure

Malware Insights

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

The PDF contains numerous embedded links, with one identified as a malicious redirector. The heuristic 'PDF_SEO_LINK_FARM' indicates a large number of external links, suggesting a tactic to manipulate search engine results or distribute malicious content. While no scripts were explicitly extracted, the presence of embedded URLs and the ML classifier's high confidence point towards a malicious intent to redirect users to harmful sites.

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://ttraff.club/pify?keyword=my+big+fat+greek+wedding+cast In PDF document text
    • https://cdn-cms.f-static.net/uploads/4366989/normal_5f8b4f9cac76c.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4385030/normal_5f9733569decc.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4374978/normal_5f8a1da69159b.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4419630/normal_5f9b12931b81e.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4386591/normal_5f8d39e84b8fd.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4366041/normal_5f938f9a36896.pdfIn PDF document text
    • https://zoxamadafipezo.weebly.com/uploads/1/3/1/1/131164297/dutisexefepalokujur.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/7c8bdbe2-232b-4b87-bbde-fb857df8dc80/45269540948.pdfIn PDF document text
    • https://s3.amazonaws.com/zinudipir/juan_tamariz_mnemonica_download.pdfIn PDF document text
    • https://s3.amazonaws.com/jiwisigetizoxif/characterization_vocabulary.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0504/1150/3804/files/ct_dmv_manual.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_off00006e07.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x6E07 5560 bytes
SHA-256: 01c2417220e16de2def5fee20cffed5ef80171e9168e6467a4ab18cfd7ee009b
font_01_sfnt_off00008130.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x8130 10160 bytes
SHA-256: dc2b36e09db352443870743e74e0f41d36062b39eca42173f57c5d711c611204

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