MALICIOUS
224
Risk Score
Machine Learning
- Nyx PDF Classifier malicious score 1.0000
Heuristics 6
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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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Travel-support phone-number stuffing scam critical SE_TRAVEL_SUPPORT_PHONE_SCAMDocument repeats phone numbers in airline/travel/refund/support language, often across multiple regional phrasings. This matches SEO/support-scam PDFs that impersonate airlines or travel brands and route users to attacker-controlled call centers rather than a normal travel document.
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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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Callback phishing phone lure medium SE_CALLBACK_LUREDocument asks the user to call a phone number in billing, refund, subscription, fraud, or security context — consistent with callback phishing or tech-support scam patterns. Suppressed for legitimate-issuer (IRS/gov/official-form) or Microsoft license-boilerplate documents that carry no urgency or charge/dispute escalation.
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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=boltune+headphones+manual In PDF document text
- https://site-1037866.mozfiles.com/files/1037866/62380969755.pdfIn PDF document text
- https://site-1037196.mozfiles.com/files/1037196/likuwofilevumederagug.pdfIn PDF document text
- https://site-1036798.mozfiles.com/files/1036798/25949386750.pdfIn PDF document text
- https://site-1037251.mozfiles.com/files/1037251/95627275447.pdfIn PDF document text
- http://www.ascendercorp.com/In extracted file (font_00_sfnt_off00006b1a.bin)
- http://www.ascendercorp.com/typedesigners.htmlIn extracted file (font_00_sfnt_off00006b1a.bin)
- https://uploads.strikinglycdn.com/files/53124c6a-3af6-49bd-a632-b757a7e92829/87537328785.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/0b2a8a3c-ceee-4650-ba95-b6601a961741/2674919618.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/8e14a871-559e-45ad-a7d2-3c3a8da78c75/11278950097.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0484/8304/1430/files/95149449752.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0496/6239/4517/files/mr._wrestling_iii.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0435/9094/2888/files/amanda_hocking_switched.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/7019/2802/files/zaruzupojak.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 extracted file (font_00_sfnt_off00006b1a.bin)
Extracted artifacts 2
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off00006b1a.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x6B1A | 5152 bytes |
SHA-256: 69953fe3ab98014a116c7cc853a03da6d660d916499e58045eb20c5c851f8c6c |
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font_01_sfnt_off00007c79.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7C79 | 10480 bytes |
SHA-256: f1753f206d1e15a3e9f3a55ab8d3f51e5ea6d7351ee9c27db6fd98f92eba7b70 |
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