Malicious PDF — malware analysis report

Static analysis result for SHA-256 d6def4c01ebcf086…

MALICIOUS

PDF

42.5 KB Created: 2020-09-30 04:41:52 +03:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-05-15
MD5: 3d4b70b0861444b428fad1c201b26309 SHA-1: f82efffb29e867c432230d8b4ee7ee61df8de7b4 SHA-256: d6def4c01ebcf086ed0d3303f717fea7225e888dc533e929f28ac3b73a21e82d
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/strik?keyword=hamstring+tear+rehab+protocol+pdf In PDF document text
    • http://jakiremul.moonlilee.net/uploads/1/3/2/7/132740281/f37d0c2e268.pdfIn PDF document text
    • http://files.baileytechnicalservices.com/uploads/1/3/0/9/130969652/70c9b20f.pdfIn PDF document text
    • http://files.parrishfarmsnigerians.com/uploads/1/3/2/7/132741375/572812.pdfIn PDF document text
    • http://sawedulot.adelaideflowerwallexperts.com.au/uploads/1/3/0/8/130814229/dilabube.pdfIn PDF document text
    • http://files.taichifuture.com/uploads/1/3/0/8/130874455/8792433.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/6209ac70-0a99-4070-b606-da80dc01d6b3/bojot.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/34d6662e-482d-41d5-8549-cff3f0054ca6/18095583183.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/ef35d802-01d8-41d8-8b01-bf1bd114d92e/80409723879.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/399b1537-1829-41fa-bd7f-f887580252b6/giboz.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/f78ca9c9-e351-4473-8cfb-4f45495915e7/doxukewepom.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/2b080d9a-ad6e-4167-986d-9fd1aaefb1b6/62477112810.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/b1c4d395-8611-42b4-b75b-ba37412f10f1/pakobuj.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/de646598-1ca5-4771-9311-b242ca853657/wakufafuv.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/5b06a3a3-b401-4302-aa69-13d15c1082da/9934010949.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/77e13f4e-2f76-438c-8b55-eb270b671bf8/wubebekilalozulivodemagus.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/066efecb-4b8c-4ea7-8247-370445a4ea0c/gexikugu.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/819b2588-1800-408b-96a8-6057c08d0a54/16703641179.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/f9b19de3-d27b-490f-8882-abd792510b29/tixel.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/9d07643f-3e17-4b12-bb1e-49808dd159de/39217996351.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_off00006852.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x6852 5672 bytes
SHA-256: f877f6ce0e78a6f80797c1a4505bc9a629231aaf65c693197704d58f013613e3
font_01_sfnt_off00007b70.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x7B70 9740 bytes
SHA-256: 25b90014f83b156d9a4c4e3cb8e87b48320c9edf2994d0daddd0241e65acd6d5

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