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://ttraff.me/123?keyword=apush+chapter+2+test In PDF document text
- https://cdn-cms.f-static.net/uploads/4368740/normal_5fa02dee5b1a9.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4366385/normal_5f877e8a29552.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4377678/normal_5f8ed1141f9ae.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4413983/normal_5f97df7b635a7.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4382413/normal_5f92a11c11373.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4424009/normal_5f985796a3d37.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/bokexizometun/84488828274.pdfIn PDF document text
- https://s3.amazonaws.com/baposivarabuj/trupanion_pre_approval_form.pdfIn PDF document text
- https://s3.amazonaws.com/henghuili-files/76938427550.pdfIn PDF document text
- https://s3.amazonaws.com/zarelusipofox/23276217854.pdfIn PDF document text
- https://s3.amazonaws.com/kavitokolezub/kowalusoxigixavixu.pdfIn PDF document text
- https://s3.amazonaws.com/fadedosi/54280358214.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_off000085b0.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x85B0 | 5108 bytes |
SHA-256: 0ad1873ca40a15368ae8c4ff855972bf070b2d9348c453b80e17e36e863c0525 |
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font_01_sfnt_off00009709.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x9709 | 10304 bytes |
SHA-256: 025a4ca24b0d5ecdc2ae6528c71f3b2991159e43a9297e61cb05dad820a768f8 |
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