MALICIOUS
194
Risk Score
Machine Learning
- Nyx PDF Classifier malicious score 1.0000
Heuristics 5
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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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Small PDF contains mass external PDF link farm critical PDF_SEO_LINK_FARMSmall PDF contains many clickable external PDF links, mostly clustered on one host. This matches generated SEO/link-farm PDF carriers used to route users into malicious or unwanted-software delivery chains, rather than a normal document citation pattern.
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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://ggtraff.ru/wb?keyword=informal%20settlements%20in%20namibia%20pdf In PDF document text
- https://cdn-cms.f-static.net/uploads/4374207/normal_5f97009c2a1cd.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4386334/normal_5f936c8676cf6.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4376609/normal_5f91767a16270.pdfIn PDF document text
- https://bowonusafepa.weebly.com/uploads/1/3/4/3/134319531/3086425aa.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4368762/normal_5f88bdba510b9.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4366022/normal_5f8bdd664f310.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4367017/normal_5f87356e9b95b.pdfIn PDF document text
- https://s3.amazonaws.com/waxapoz/6062824271.pdfIn PDF document text
- http://www.ascendercorp.com/In extracted file (font_00_sfnt_off00005f0b.bin)
- http://www.ascendercorp.com/typedesigners.htmlIn extracted file (font_00_sfnt_off00005f0b.bin)
- https://cdn.shopify.com/s/files/1/0437/9282/6517/files/xusonawo.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 extracted file (font_00_sfnt_off00005f0b.bin)
Extracted artifacts 2
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off00005f0b.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x5F0B | 5264 bytes |
SHA-256: 3d81425c6799c2595c91c5534f096d654bb585baeb72f942eaf1340d1426978c |
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font_01_sfnt_off000070ce.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x70CE | 10188 bytes |
SHA-256: 0a2cdf2dacaec7dceda9c429c65afcba3a40da00f58c75ee11ebbc2f09204875 |
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