Malicious PDF — malware analysis report

Static analysis result for SHA-256 f1c5123fbe17d737…

MALICIOUS

PDF

49.1 KB Created: 2020-10-09 05:47:32 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-05-15
MD5: 70dc7c8b56a495866a473a12f3a38429 SHA-1: 3901749994533268ae25cb2047c3d24fe6a2e6ad SHA-256: f1c5123fbe17d73749ca5f834d6ba09f0b5ac2486a9a5f654680c49e9e8e32d4
194 Risk Score

Machine Learning

  • Nyx PDF Classifier malicious score 0.9999

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=way+of+gray+pdf+download In PDF document text
    • http://files.inspiredwomenbusinessalliance.org/uploads/1/3/0/9/130969411/da38958350e.pdfIn PDF document text
    • http://tikonudo.kwdavis.com/uploads/1/3/2/3/132302921/poseb-wutig-gijuxozojukov-dilozem.pdfIn PDF document text
    • http://jofan.celticpinkribbon.com/uploads/1/3/2/6/132696212/b43f0a573821c83.pdfIn PDF document text
    • http://nirowo.antiquecues.com/uploads/1/3/2/7/132740353/baputafadanaw.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://uploads.strikinglycdn.com/files/3eab1bd5-eda8-42b3-94ae-bf138593bfb1/76673195702.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/408781c1-4e80-4598-91e8-10a9b02c7cc0/32954387310.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/5003e2cb-624b-47bc-bf00-2004e237fcc8/wuvasugaf.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/0e3e47bd-2126-4053-bd88-f3e8e43d9252/gojum.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_off00007487.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x7487 4780 bytes
SHA-256: a82cbed9c967b97808fc231ab11057cab37f45052f62e82ab6691ea3c58d31f5
font_01_sfnt_off000084ea.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x84EA 10860 bytes
SHA-256: cd874ee3cedfc4493b034f6a5b067252857458b9a207bc3b64270448a9172d73
font_02_sfnt_off0000a9f9.bin pdf-font-stream PDF embedded font (sfnt) at offset 0xA9F9 4324 bytes
SHA-256: ff5f0ef16caf3e97cd1984b3a03ea88e11eab8cf63d2ee006085a4b9995833f3