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://traffmen.ru/aws?keyword=the+borrowers+pdf In PDF document text
- https://cdn-cms.f-static.net/uploads/4366043/normal_5f95c26e32a85.pdfIn PDF document text
- http://www.ascendercorp.com/In PDF document text
- http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
- https://nijubar.files.wordpress.com/2020/11/zener_diode_specification_data_sheet.pdfIn PDF document text
- https://s3.amazonaws.com/gowebabuxogiro/super_fighters_free.pdfIn PDF document text
- https://zujuvigewif.files.wordpress.com/2020/11/refrigeration_engineering_problems_and_solutions.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/dd9c3502-2699-45f5-a8af-6fff0e9aba95/65514088847.pdfIn PDF document text
- https://fakozuxi.files.wordpress.com/2020/11/remove_watermark_nitro_pro.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/f34c1207-04ee-4e48-a473-a5053dfc1511/66781242714.pdfIn PDF document text
- https://s3.amazonaws.com/sajatesawodiji/40779745281.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/839d4666-2746-442e-adce-274e743276c2/south_american_sea_lion_skull.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_off00007290.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7290 | 5068 bytes |
SHA-256: 7e31c956fd3d31322d5123749250ec601cc0fed8fe478c4cbdd12f2f88910ae3 |
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font_01_sfnt_off000083d3.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x83D3 | 10352 bytes |
SHA-256: 9b32ff956d02f1db0851d22752edff061c97987cdf43600b36c4d8c9e4565a28 |
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