Malicious PDF — malware analysis report

Static analysis result for SHA-256 3dd0961fbe34c7d5…

MALICIOUS

PDF

52.2 KB Created: 2020-10-09 01:34:44 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2026-06-26
MD5: db07cb7fb8016e5d5caf76d3378de273 SHA-1: 5155cc0830fdab9b45bcf7ea113be0ac82e6573d SHA-256: 3dd0961fbe34c7d5965b1ed3fec9b53fa197917e2613f1c12328357dbff9f310
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.ru/pify?keyword=oy+vey+iz+mir+pronunciation In PDF document text
    • http://www.ascendercorp.com/In PDF document text
    • http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
    • https://cdn.shopify.com/s/files/1/0484/4162/2682/files/hytale_beta_launch_date.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0496/6347/5869/files/35880685077.pdfIn PDF document text
    • https://cdn.shopify.com/s/files/1/0438/8981/9800/files/geometry_chapter_6_test_answers.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/cc9ff583-a756-40e1-80e9-25a18ea078a3/59570613473.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/c52f6f92-0096-49d0-a8c7-4aebb40a6288/6941654715.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/99b510de-583a-4461-b606-db5bd0d64a56/finopogufazazifaxab.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/ab75ffea-7c3e-49dc-9605-2bb3b79ef05c/84193702710.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/feeb19ff-8977-4a34-bfa2-4c894f12157c/11516979513.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/50f4426c-b4e0-4cfc-afc5-8fbe14027267/juvaxemimanofivixet.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/4771934d-26c3-48f8-a7b8-5a8547d0eaf2/36588107594.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/14115c61-d2ac-400a-9863-0646e7b053db/jokajerujixusemofib.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/e53ab410-dd52-4b45-aaa3-bbbf1b9bf57c/liwupawutuxab.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/f07c2662-94ca-447d-bb12-e6f293602ab5/17907413705.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/7fcb3c9a-c2ca-4f7d-9654-ca24771f4072/64259298618.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/bc51415a-06f8-4b0f-89ba-cab14d5137e8/71080966214.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/8b7186d7-8bca-4060-8479-3a986baced64/durivamudivozamijaz.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/2f6c151a-745d-4438-8e2e-ce229a47bbd2/kobefifuluxepobowubuwog.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/9880e34f-ffbe-4eeb-939e-42a695caf8f8/netezajob.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_off00007e74.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x7E74 2920 bytes
SHA-256: 557eeaef0c31ac8a1f7d07c9381a5cbe3f17b29477a769905ef1ddcb1c6286ab
font_01_sfnt_off000088ce.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x88CE 5108 bytes
SHA-256: 6ee173f7b8b6111845d6c8a0da6b2892765e8014dcb251a87e7561daf8846db7
font_02_sfnt_off00009a2b.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x9A2B 12680 bytes
SHA-256: bc72bc8062144bffcc1bc723dd933267cbdfbcce4d430f90a84f161b1c8222ed

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