MALICIOUS
194
Risk Score
Machine Learning
- Nyx PDF Classifier malicious score 0.9853
Heuristics 5
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ClamAV: Pdf.Phishing.Trojan-d2568dad23a94d95-d2568dad23a94d95-10044375-0 critical CLAMAV_DETECTIONClamAV detected this file as malware: Pdf.Phishing.Trojan-d2568dad23a94d95-d2568dad23a94d95-10044375-0
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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://traffmen.ru/strik?keyword=location+spoofer+for+pokemon+go+ios In PDF document text
- https://cdn-cms.f-static.net/uploads/4413719/normal_5fa3825723475.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4380229/normal_5f8d296e52d71.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4375716/normal_5f965d337ce48.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4382960/normal_5f8fe9eaa5c45.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/df59ba6a-d012-4532-bdec-669d2c0650ef/99705570976.pdfIn PDF document text
- https://s3.amazonaws.com/gifiz/coca_cola_chest_cooler_models.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/3240e851-42f1-4912-b63c-662c51eb6a3a/www_code_permis_pieton._com.pdfIn PDF document text
- https://s3.amazonaws.com/tezofuretejom/white_pages_cincinnati_free.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.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off0000d4ef.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xD4EF | 5096 bytes |
SHA-256: 75542e1fa4b287d6799acb0a3f4d6b74b55c7fde0dc74f88e8f54abf938e2241 |
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font_01_sfnt_off0000e62d.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xE62D | 10580 bytes |
SHA-256: 83a36c05f84e4224de25a7fcf9eb1a98a82fa0391cfc3b6932c88d7b153d7279 |
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font_02_sfnt_off00010a4d.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x10A4D | 4324 bytes |
SHA-256: ff5f0ef16caf3e97cd1984b3a03ea88e11eab8cf63d2ee006085a4b9995833f3 |
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