Malicious PDF — malware analysis report

Static analysis result for SHA-256 a1824a6fb87f3bb1…

MALICIOUS

PDF

35.4 KB Created: 2020-10-02 20:55:38 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-05-15
MD5: c5648747f1d9ee0fa4be6ccdf4ed0e64 SHA-1: e032b0749f11a7e5fb53c08faed0e14964ea8c5a SHA-256: a1824a6fb87f3bb1e86fd0101b1460017146856d2c806b75ec49156d985090ef
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=tenu+kala+chasma+jachda+hai+mp3+download In PDF document text
    • http://files.hideawayacres.net/uploads/1/3/0/7/130776166/xafutaliguk.pdfIn PDF document text
    • http://zitenex.fiban.org/uploads/1/3/1/4/131453630/388344.pdfIn PDF document text
    • http://files.verhagesfruitfarmandcidermill.com/uploads/1/3/1/4/131454034/a312b051.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/b72c9207-50d6-45f8-a1e5-ba87bd0c49ed/2705758799.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/4f9ea7bb-e233-4935-b903-b781a3b7de40/pexeku.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/592892b7-ea81-46c1-a08f-cafb8bb5f4ee/44594459712.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/5ea41f03-9675-407e-aeee-18f36ea7e848/88193275854.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0485/9383/0053/files/walgreens_30_second_digital_thermometer_manual.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0436/2895/3763/files/jenagi.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0481/7895/4389/files/20730963912.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0431/4667/4336/files/threats_for_north_face_backpacks.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0431/2737/3986/files/boroxomagun.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0463/2634/9985/files/thank_you_for_the_cross_lord_instrumental.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0429/8221/1733/files/stats_modeling_the_world_chapter_15_probability_rules_answers.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_off00004b18.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x4B18 5564 bytes
SHA-256: 26ebac81cccbc3ae1135c4e28b699ea339a0ead7526f81f374e0cdfe03e489f3
font_01_sfnt_off00005df1.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x5DF1 10216 bytes
SHA-256: ca8ab0471884c32cfe16fe5baffc29982651fe4ce9f553db04d6abb09f7dbf49

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