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://gettraff.ru/strik?keyword=al+que+ingrato+me+deja+busco+amante+analisis In PDF document text
- http://najuwebuw.safeharboradventures.com/uploads/1/3/0/7/130775986/luxijesilan.pdfIn PDF document text
- http://files.boneroom.com/uploads/1/3/1/4/131407493/430546016008fe.pdfIn PDF document text
- http://files.ggcareerservices.com/uploads/1/3/1/4/131452961/536973.pdfIn PDF document text
- http://files.meubnb.com/uploads/1/3/1/3/131378973/9969008.pdfIn PDF document text
- http://www.ascendercorp.com/In PDF document text
- http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
- https://cdn.shopify.com/s/files/1/0482/9636/2148/files/29850415986.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/1869/0458/files/koxosejobamimavadetubeziz.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0481/8881/7562/files/fitzgerald_toyota_gaithersburg_service.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0441/0854/6200/files/merge_k_sorted_lists_python.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0484/6511/7334/files/85616105700.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_off0000705b.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x705B | 5588 bytes |
SHA-256: a76cf7411037dde355fb7748ff2bc0bf70f2f464fc282a9e42139092071b56c7 |
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font_01_sfnt_off00008337.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x8337 | 11408 bytes |
SHA-256: 03b70fd390551fd7bd3f6343e58d87fc0a38ebfed2a68571326acb241efd1d87 |
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