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://trafffi.ru/aws?keyword=ciccarelli+psychology+4th+edition+pdf PDF link annotation
- https://cdn-cms.f-static.net/uploads/4368989/normal_5f956efe1f493.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4367007/normal_5f8849da8187b.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4386079/normal_5f94abaab3e96.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4381730/normal_5f9000841939a.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4404124/normal_5f990086aed5d.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4383704/normal_5f9c993fa382a.pdfIn PDF document text
- http://fontawesome.iohttp://fontawesome.io/license/In PDF document text
- http://www.ascendercorp.com/In PDF document text
- http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
- https://s3.amazonaws.com/fatikonavori/penny_stocks_for_dummies_download.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/9da0c106-ce9b-43eb-bc12-0d677878f0b2/76980448650.pdfIn PDF document text
- https://s3.amazonaws.com/gifiz/43548698987.pdfIn PDF document text
- https://s3.amazonaws.com/nimuwet/antecedentes_judiciales_policia_nacional.pdfIn PDF document text
- https://s3.amazonaws.com/fodose/runiketitijofada.pdfIn PDF document text
- https://s3.amazonaws.com/migivewuwe/dasuz.pdfIn PDF document text
- https://s3.amazonaws.com/kuboki/zuver.pdfIn PDF document text
- https://s3.amazonaws.com/tobobowu/daemon_tools_cracked_torrent.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_off00005fa4.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x5FA4 | 1604 bytes |
SHA-256: 14496697e68b4a0f17b25b2d5c2a98c80d187e70e38cf32987288d75605d8b20 |
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font_01_sfnt_off000067a3.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x67A3 | 5512 bytes |
SHA-256: 055de2a545b73314e1eb8b8739670795dd83644ab21f26979137783d58437087 |
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font_02_sfnt_off00007a65.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7A65 | 10936 bytes |
SHA-256: 5a32a8795b381eb5d591033a407ed158ee9f7ad55aaa7284d9429ea8d316f0fd |
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