MALICIOUS
134
Risk Score
Machine Learning
- Nyx PDF Classifier malicious score 1.0000
Heuristics 4
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PDF links to known malicious redirector infrastructure critical PDF_MALICIOUS_REDIRECTOR_LINKPDF 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.
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Image lure linking to an SEO redirector (free-download phishing) high PDF_SEO_UTM_REDIRECTOR_LINKPDF 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.
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Object number defined twice with different bodies info PDF_DUPLICATE_OBJ_BODY_INCREMENTALThe 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.
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Embedded URL info EMBEDDED_URLOne 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=ortopedia+e+traumatologia+sizinio+pdf In PDF document text
- http://joton.olgabaptist.org/uploads/1/3/0/7/130775565/xekanotudabefinapesu.pdfIn PDF document text
- http://files.jasmineysmith.com/uploads/1/3/0/8/130873807/vatilonofite.pdfIn PDF document text
- https://site-1037902.mozfiles.com/files/1037902/jewuvu.pdfIn PDF document text
- https://site-1036696.mozfiles.com/files/1036696/munuratuperuwo.pdfIn PDF document text
- https://site-1036722.mozfiles.com/files/1036722/34761668381.pdfIn PDF document text
- https://site-1037113.mozfiles.com/files/1037113/8459769015.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/e30cfb04-3389-45eb-bd53-62b1d4a6585c/fexiboxofutobidu.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/759d58f0-1f99-4297-bead-a8083a0b3be3/78579455394.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/3aa5557e-6ce6-402c-bc47-c9b4304f2ea3/8151359079.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/3282a687-8e39-4b0b-b1b6-3be24ad79562/wagamidodakaxota.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.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off000048d4.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x48D4 | 5440 bytes |
SHA-256: 06e203d259a5312fabefab347930ba1c7429d15bdaa1262beebaee79c27329f1 |
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font_01_sfnt_off00005b45.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x5B45 | 9852 bytes |
SHA-256: 42984c2e0294b987665e373c1bed9d34a888f6114469493ff56db45f998c9f7e |
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