Malicious PDF — malware analysis report

Static analysis result for SHA-256 169fa8731583fd94…

MALICIOUS

PDF

45.8 KB Created: 2020-10-10 13:27:28 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-05-15
MD5: b0653e438e0f4b3b3078b3b6a063841a SHA-1: 64ec81096faf65a75ec6324cbcaddd361e340581 SHA-256: 169fa8731583fd94b32fb7873a189a53136abb6da712815fe1c08e021442dca5
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://gettraff.ru/pify?keyword=city+of+bones+movie+free+streaming In PDF document text
    • http://files.shakespearebashd.com/uploads/1/3/2/7/132712623/d7ff886d241.pdfIn PDF document text
    • http://dulepen.literaturewithleonetti.com/uploads/1/3/1/8/131871991/7136326.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/b9f52935-77fc-427f-aff1-2ff37c6b8324/68236725603.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/c3028dfd-6ee5-46ad-8848-39bc01b173cc/44256025670.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/263f7020-a470-4918-bbe7-83876f909d3f/tobokaralimazaveguse.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/2e5c5f23-22ff-4e81-9a35-6c839ee91866/benonebetukidani.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/b1dbee6b-ab42-4ccf-8cbc-d202d1e433a8/kanesidonobusepabo.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/198f90fa-72d0-4b65-803e-09c0adf78c7c/tenefe.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/9cd57c4a-fdb0-4c66-a852-f69b77830bf0/jepunojis.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/51ca8885-5cbb-4b8c-9851-c4c91f40b9a8/41488059772.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/c90ed295-6fbc-4ede-8086-42c7552f686c/zumuwabebofos.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/15b23886-f880-4934-8783-36e97aa97321/didiropizajuvimiv.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/580131bb-349d-410c-9774-7d7b1d5c1a14/47249922953.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/b224ae2a-aa97-4278-9023-bd919d495e00/kalavixobivedagifoduw.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_off0000767e.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x767E 5264 bytes
SHA-256: 554caa46c19a63d97129345aaf992a28742b893e0437cce7b3dff9c5074d5605
font_01_sfnt_off0000885c.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x885C 9976 bytes
SHA-256: 312ede796a937d2a15c64bb981e62b5a77a4382c4381cdd63aeaeefab74be733

Open this report in the interactive analyzer, or submit your own file for analysis.