MALICIOUS
76
Risk Score
Machine Learning
- Nyx PDF Classifier malicious score 1.0000
Heuristics 4
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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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External URI info PDF_URIPDF contains an external URL action
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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://traffset.ru/aws?keyword=paper+towel+holder+wall+mount+white PDF link annotation
- https://cdn-cms.f-static.net/uploads/4387919/normal_5f8d87914283a.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4377704/normal_5f8dfd0163502.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4370302/normal_5f8b9e7ce6f51.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://s3.amazonaws.com/nopomewegobij/78111807333.pdfIn PDF document text
- https://s3.amazonaws.com/teximikamukubo/15929062038.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/708db6aa-4e19-4a4e-b203-9242b436af5c/78095976113.pdfIn PDF document text
- https://s3.amazonaws.com/xuxifuzituwu/ea_koetting_baneful_magick.pdfIn PDF document text
- https://s3.amazonaws.com/muxegeza/judikawesedepujez.pdfIn PDF document text
- https://s3.amazonaws.com/ravuxudibure/ribiwopo.pdfIn PDF document text
- https://s3.amazonaws.com/megodipewukitoj/makalah_akuntansi_sektor_publik.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_off000061fc.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x61FC | 4996 bytes |
SHA-256: 737a58b562178bcb00c7b5e83f73f85401b7a8ca3eda31f7d47d3455079db2c5 |
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font_01_sfnt_off000072d9.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x72D9 | 11160 bytes |
SHA-256: af487e0de351f6c54de14f74b6be275f97c047fdd4151b6ea215e88f8bdad29e |
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font_02_sfnt_off000097c8.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x97C8 | 4324 bytes |
SHA-256: b50a2106bf82917db0cd3cf88f63c5e8cc3298b343ace5cffc591b35df33d24c |
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