Malicious PDF — malware analysis report

Static analysis result for SHA-256 bfec44a870cef3c6…

MALICIOUS

PDF

45.9 KB Created: 2020-10-17 00:10:27 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-05-15
MD5: ef71dcfc18fd205fb05181488c818adf SHA-1: 30d7aa7999c89a3aa76b9055030b1ece8ef20f30 SHA-256: bfec44a870cef3c61ed18934830241b316856a7c8d5336220431d92c062dadbd
194 Risk Score

Machine Learning

  • Nyx PDF Classifier malicious score 1.0000

Heuristics 5

  • 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.
  • 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://ggtraff.ru/123?keyword=ping+network+tools+pro+apk In PDF document text
    • https://vimiwegom.weebly.com/uploads/1/3/0/7/130775837/kibozazogarul-serupele.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4374379/normal_5f8a0ac3ddd17.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4369495/normal_5f892ece94f54.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4369935/normal_5f8a0bb39f47a.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4373240/normal_5f89eb0a64d12.pdfIn PDF document text
    • https://fidegobopoj.weebly.com/uploads/1/3/2/8/132815019/8458239.pdfIn PDF document text
    • https://dubuzosokiboxof.weebly.com/uploads/1/3/1/1/131163723/koxatan.pdfIn PDF document text
    • https://jizonuwuko.weebly.com/uploads/1/3/0/8/130814311/kowokojig_xinepelefus.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4373769/normal_5f8a0a7a25093.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4367007/normal_5f874364e1e36.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4365582/normal_5f8720a099633.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4365655/normal_5f8929d77a4a8.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4368481/normal_5f88b626602f6.pdfIn PDF document text
    • https://cdn-cms.f-static.net/uploads/4369930/normal_5f88af55e0ca0.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/5cd23ea7-e76b-4f35-88e0-3ae49d5b762c/11204686545.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/71e1db36-9c3b-4679-8298-124cea8cce7f/70635019745.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/f9a36074-b9f6-445e-83ff-79b568565dd8/45882785555.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 3

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off00006b3d.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x6B3D 5144 bytes
SHA-256: 91a33461764a4345666e6859957b62123a9189871ee0daab8e82ed2260c6e71c
font_01_sfnt_off00007cd5.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x7CD5 1680 bytes
SHA-256: 7f75ad570fde1cfe7e0bb9fcd22474b757f8f19828890a3063452e16cb258510
font_02_sfnt_off00008525.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x8525 11684 bytes
SHA-256: df60a9a78652aca116acd3a5427ceeaacdcb7e63e10c97fc634fea5e44d95539

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