Malicious PDF — malware analysis report

Static analysis result for SHA-256 5cee6cf8438ea36d…

MALICIOUS

PDF

57.4 KB Created: 2020-10-15 05:48:29 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-05-15
MD5: 79e0f6040617f0dc80dc980791c52942 SHA-1: e2e361581fd9def16ebf3d0abe6d268b42be7d5e SHA-256: 5cee6cf8438ea36d220d188cf34f0ee32bfbf6591a55b0594f2b97290f007642
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/123?keyword=micr+uniform+crime+reporting+handbook In PDF document text
    • https://mogilifus.weebly.com/uploads/1/3/0/7/130739831/bosilo_ginasesif.pdfIn PDF document text
    • https://pobezewimo.weebly.com/uploads/1/3/2/6/132681951/nivoxu-volowamaw-zefelikufolediz-warifowanap.pdfIn PDF document text
    • https://texitanoz.weebly.com/uploads/1/3/0/7/130739996/zananadag_momazeji_zosud_raxejagemedi.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/17cd4431-bbf2-4bde-be3b-f7d1b7f4f425/29498745.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/2a6f9292-3a6b-4723-83a6-28d7d7bce560/31431633769.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/0003beb3-1ccf-48d7-a526-19f6e472f5f4/45502908007.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0482/8010/9218/files/peer_edit_worksheet.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0433/3276/3816/files/white_pages_new_mexico.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/4f5a4aef-c07f-47d2-87b1-dd11c9233817/menabemupoki.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/fca45586-fb73-4a41-8078-e4a8ecf89070/puxulikoxedalivug.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/ca7a9599-d45c-458a-b540-e508a4220a20/ginod.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/e9d88248-2dd1-4f21-840f-8181f75b1a17/tobem.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/85ef1581-3a88-4cd1-96d0-f9b36435ee7b/figabotatiroworepo.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/4b1fe211-47c3-43e2-b0aa-afb8b77787e3/bifizuzofuti.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/0dbffdb1-4b73-41e0-bd13-aeffcd9bfa2b/94986056939.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/6a2290fd-a4fe-4595-b071-e73ab1f8d5a3/27557489798.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/47f156bd-4bf4-4a48-bd68-0370da5061b9/91259951309.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/ca5e1930-cefa-4200-aaec-a1161e583a06/jutanolidoka.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_off0000a080.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xA080 5568 bytes
SHA-256: a7ffd297e06ce5362c557abb90403b94e43a964323dd2ff3479b6051ec1ee1bd
font_01_sfnt_off0000b343.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xB343 11268 bytes
SHA-256: 65b209cb58850b1ed55abcf367b62189f1f0e4229540ec4a23908716ea81f4ff

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