Malicious PDF — malware analysis report

Static analysis result for SHA-256 ee64694d99e1b69f…

MALICIOUS

PDF

41.2 KB Created: 2020-10-07 03:08:58 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-05-15
MD5: db3d6f684209b2ec891b3a7b68fbdd8f SHA-1: 62eb49070b4b9dca99d27b91cbf98b3ea6396840 SHA-256: ee64694d99e1b69fe95cba4ca402012f33fca243fbd439385ef8c977ffc52979
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://cctraff.ru/strik?keyword=green+finch+and+linnet+bird+sweeney In PDF document text
    • http://files.meridianbodycare.com/uploads/1/3/1/8/131857193/6976761.pdfIn PDF document text
    • http://jewaduj.deltafuntime.com/uploads/1/3/1/0/131070450/3464574.pdfIn PDF document text
    • http://files.calvary-answers.org/uploads/1/3/2/6/132681021/wuged-dizusun-befafaw.pdfIn PDF document text
    • http://divozu.sanmarinogirlscouts.com/uploads/1/3/0/8/130873843/2289884.pdfIn PDF document text
    • http://www.ascendercorp.com/In PDF document text
    • http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
    • http://www.daltonmaag.com/In PDF document text
    • https://cdn.shopify.com/s/files/1/0482/0887/1581/files/poxidarepo.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0434/9054/1728/files/nudosu.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0501/2609/4496/files/algebra_2_vocabulary_word_search_answer_key.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0432/6237/8139/files/gas_and_sand_hacked.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0435/9376/0931/files/nelenimomuxijixepokug.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0485/1132/0219/files/mark_klimek_notes_download.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0435/6990/5825/files/visagup.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0479/8044/5852/files/garcinia_cambogia_powder_walmart.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0501/6643/1909/files/lone_star_college_jobs.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0481/5795/0119/files/persian_in_use.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/a00080c6-e2a3-4222-8716-37e5267113a1/46555653552.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/ade50c38-72b4-4143-9ca2-e4f08bc54e3f/wuvivilug.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/f7d15787-229b-430c-ac8a-7424bf11cf2e/3436682181.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/9780952a-06ff-46d3-89d6-153587d47b97/nasufunijisonopagusofov.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/090b5a51-231c-4b41-9f8e-c033e861c72f/zekezabokimezamaviverib.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_off0000558d.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x558D 5152 bytes
SHA-256: 9d78d5894e9ad99f555994a8dc850d2f3d9a60a292d5d379d2b1b9bc1fee2479
font_01_sfnt_off00006714.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x6714 9944 bytes
SHA-256: 497ebba3c23ed84bd3e8705006280aab0b317f9f6d4652e26e23ec05a33f4006
font_02_sfnt_off0000890f.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x890F 4324 bytes
SHA-256: cd94ef65598b1866d0653cdd88243d989fd81359c0e770c2d3a4858f1c2f6d34