MALICIOUS
164
Risk Score
Machine Learning
- Nyx PDF Classifier malicious score 1.0000
Heuristics 7
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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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Callback phishing phone lure medium SE_CALLBACK_LUREDocument asks the user to call a phone number in billing, refund, subscription, fraud, or security context — consistent with callback phishing or tech-support scam patterns. Suppressed for legitimate-issuer (IRS/gov/official-form) or Microsoft license-boilerplate documents that carry no urgency or charge/dispute escalation.
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Urgency / deadline lure low SE_URGENCY_LUREDocument contains urgency or deadline language ('account will be terminated', 'action required within 24 hours', etc.) — useful context, but low-signal without other findings
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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://trafficel.ru/123?keyword=cedar+rock+park+nc PDF link annotation
- https://cdn-cms.f-static.net/uploads/4424982/normal_5f9c47a5e3c2f.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4372721/normal_5f8bb596a477a.pdfIn PDF document text
- https://lipowuripipu.weebly.com/uploads/1/3/1/3/131378852/tumomeseke-wepebipodimabid-falonezifo-vasunejebemetiv.pdfIn PDF document text
- https://jinunezig.weebly.com/uploads/1/3/4/3/134308797/3951396.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4366949/normal_5fa181a37ea56.pdfIn PDF document text
- http://www.ascendercorp.com/In PDF document text
- http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
- https://s3.amazonaws.com/resixexi/fojuk.pdfIn PDF document text
- https://s3.amazonaws.com/wuzalugiseto/98164034522.pdfIn PDF document text
- https://s3.amazonaws.com/henghuili-files2/gapekenogaburuvefavefera.pdfIn PDF document text
- https://s3.amazonaws.com/bakoloj/easy_copy_and_paste_bee_movie_script.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_off0000625a.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x625A | 4824 bytes |
SHA-256: 48085d075843c8a0deb52c6bc99ea45e255781fb5b2cb3a9cd1c0fd8e8d59ece |
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font_01_sfnt_off000072d4.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x72D4 | 10904 bytes |
SHA-256: 724079920c3364c573f65cc85cfc275b34afb835ff38f76b1c7d278b8c880846 |
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