Malicious PDF — malware analysis report

Static analysis result for SHA-256 768d17f3fbec4669…

MALICIOUS

PDF

40.4 KB Created: 2020-11-07 17:38:06 +02:00 Authoring application: wkhtmltopdf 0.12.5 (via Qt 4.8.7) First seen: 2021-01-23
MD5: 7c0465a8338f9848a2d4efb3511e826f SHA-1: a1cc15b7241c9deabec21b3446fe6cfe99e24ca1 SHA-256: 768d17f3fbec4669e513e7cd1850a323063fcaa2f4ccc8f535082d2ceb2928bd
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://traffmen.ru/aws?keyword=36th+anniversary+gift+ideas In PDF document text
    • https://sokuvotaboraj.weebly.com/uploads/1/3/0/7/130776263/6739283.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/2e470aa7-a9d8-4cbe-b806-8cf8b09d5db7/example_of_relational_model.pdfIn PDF document text
    • https://s3.amazonaws.com/sazixipame/rizize.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/cbac8440-bdf2-4c34-bbc1-7db1c287843b/remember_me_sophie_kinsella_epub.pdfIn PDF document text
    • https://s3.amazonaws.com/bejeseja/newton_s_laws_review_worksheet_answer_key.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/b8bcb28f-f656-4c17-979f-966b2492d8e1/33281255696.pdfIn PDF document text
    • https://lufitoju.files.wordpress.com/2020/11/writing_matters.pdfIn PDF document text
    • https://s3.amazonaws.com/tokafanawa/60996922717.pdfIn PDF document text
    • https://uploads.strikinglycdn.com/files/c802f4b1-8586-4a44-b4a0-4a3a0391787a/19286438978.pdfIn PDF document text
    • https://s3.amazonaws.com/jeworurowam/bidirectional_glenn_shunt.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_off00005ef3.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x5EF3 5524 bytes
SHA-256: 71ae0d3e4499da81a6f86242212aa191d3455d3a47b6a5bd15c28259bd3cbbce
font_01_sfnt_off000071c3.bin pdf-font-stream PDF embedded font (sfnt) at offset 0x71C3 10516 bytes
SHA-256: f2d65f078d6ff07ddbe2c02b807d00035aaca95e6d42ede38d6df9aa991164e7