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://traffking.ru/aws?keyword=sloppy+stage+2+turbo+cam+specs In PDF document text
- https://litovabijoku.weebly.com/uploads/1/3/4/6/134666457/e3a036bffd28.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4366040/normal_5f8987e51cdcf.pdfIn PDF document text
- https://kokexofagisukop.weebly.com/uploads/1/3/2/7/132710589/409892.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4393779/normal_5f90fa6ee4554.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4425501/normal_5fa3cf8dcfad9.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4378379/normal_5f8d9f1701671.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4421049/normal_5fa5dc4ab9c06.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/mipizaju/tm822g_max_speed.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/48e2e40d-4b2c-4644-ac71-cfe9bb80729d/99871583436.pdfIn PDF document text
- https://s3.amazonaws.com/levumoduf/words_for_earthquake.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/28cb5ce9-561c-4914-be25-dd004fdb6bf1/52973302157.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_off00006eb5.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x6EB5 | 5728 bytes |
SHA-256: 23e727216a95cc869a648e1baed59c656948619d02653e76c9a87429eddba399 |
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font_01_sfnt_off0000822e.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x822E | 11476 bytes |
SHA-256: d779de90c1a0d971c7f7ee48dc3db399ca25129be193d23c8c83a1c0f9c1d8e5 |
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