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://cctraff.ru/wb?keyword=girls%20guide%20to%20depravity%20tv%20show%20cast In PDF document text
- https://cdn-cms.f-static.net/uploads/4412593/normal_5fa11196cd143.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4453334/normal_5fa201ab99156.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4369919/normal_5f97635a57ea2.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4377679/normal_5f8d26d7edd4a.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4366027/normal_5fa4824b51c37.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4404292/normal_5f99d9e7b29c4.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4375077/normal_5f8b6847c2235.pdfIn PDF document text
- http://www.ascendercorp.com/In PDF document text
- http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
- https://s3.amazonaws.com/mivokozibu/alabama_central_disbursement_child_support.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/6b402648-ad0e-4ba0-b3a5-069c0fe34505/ravanepuwer.pdfIn PDF document text
- https://s3.amazonaws.com/sezebepit/can_alexa_send_a_text_message_to_a_cell_phone.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_off000059f6.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x59F6 | 5620 bytes |
SHA-256: 7b0fc513ca95bcc0a75564512124457e5601e067f13a4eea5c5e95501f1c1354 |
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font_01_sfnt_off00006d2a.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x6D2A | 10032 bytes |
SHA-256: df56c91385546ac82de36fb6fa362035b5edffdd6dcac1551f2415daa357715e |
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