Malicious PDF — malware analysis report

Static analysis result for SHA-256 3800fd7e9131d801…

MALICIOUS

PDF

45.0 KB Created: 2020-10-21 06:25:27 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-02-23
MD5: 385180e676d73c23fded2c6dfe89b9f4 SHA-1: a031c5cf2a7b248af0bf49bdaa0fa0920ba1b8ee SHA-256: 3800fd7e9131d8016e0eab2f9c46e08e7a5eb5dfc0e40aaa8460fbb6b94e9b3b
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://ttraff.club/pify?keyword=marketing+4.0+philip+kotler+pdf+free+download In PDF document text
    • https://pebiname.weebly.com/uploads/1/3/1/4/131453048/menoximinadupofegega.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://s3.amazonaws.com/subud/zizixid.pdfIn PDF document text
    • https://s3.amazonaws.com/henghuili-files2/ancient_egypt_map_activity.pdfIn PDF document text
    • https://s3.amazonaws.com/leguvefu/93475266259.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/930b8dbf-2737-45a9-aa15-0d0149d76341/49868059312.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/ea500806-91e2-4329-862c-8c2a702000be/1017665074.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/5f474891-0517-4792-a60e-2e161bce92f3/95250025498.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/76019422-79c7-4c9c-b4b9-95ff11bd3765/52236153761.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/64d365b2-09f3-42a4-b0a2-a85dcf6d5404/44657760906.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0435/0600/8216/files/stick_fight_mod_apk.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0501/0613/8787/files/43650318803.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0432/5824/9384/files/fefuxuj.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0437/5347/2151/files/electric_vehicle_technology_book.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0436/1404/4323/files/pokidajojugorirezukuban.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0434/1651/8805/files/how_to_run_debugger_in_android_studio.pdfIn PDF document text
    • https://s3.amazonaws.com/wilugugo/text_cases_and_materials_on_criminal_law_in_zambia.pdfIn PDF document text
    • https://s3.amazonaws.com/subud/pulimufexisimewajoba.pdfIn PDF document text
    • https://s3.amazonaws.com/jamokaroxoj/bakery_business_model.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
    • http://dejavu.sourceforge.netIn PDF document text
    • http://dejavu.sourceforge.net/wiki/index.php/LicenseIn PDF document text

Extracted artifacts 4

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off00004f88.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x4F88 5336 bytes
SHA-256: 0d7baeed2079ca5cdc847f783e04b4e2e0e313a0a286c7f65a97d9629edcde37
font_01_sfnt_off000061c2.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x61C2 9572 bytes
SHA-256: 37745c1394a4958a9bbbd8f88ec1fd849a08ed1364fdf76c11414ba748c60e4c
font_02_sfnt_off00008286.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x8286 16376 bytes
SHA-256: 684a3c196e802b4dc45ee85e0d12f41c83d6b6c6a55a83cec5fb8e332ee9aa36
font_03_sfnt_off0000982e.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x982E 4324 bytes
SHA-256: 1158d95dac44631f497756703988ba3645251422e7ff0015d3fca430225e7c3e

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