MALICIOUS
136
Risk Score
Machine Learning
- Nyx PDF Classifier malicious score 1.0000
Heuristics 5
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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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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://trafffe.ru/wb?keyword=example%20of%20community%20cloud PDF link annotation
- https://cdn-cms.f-static.net/uploads/4366653/normal_5f9236636a81b.pdfIn PDF document text
- https://s3.amazonaws.com/remeranexe/emoji_game_guess_brand_quiz_level_3_answers.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4369797/normal_5f8d624892ab9.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4383801/normal_5fa10fbb5a727.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4367656/normal_5f9ce7cebe83e.pdfIn PDF document text
- http://www.ascendercorp.com/In extracted file (font_00_sfnt_off000060b2.bin)
- http://www.ascendercorp.com/typedesigners.htmlIn extracted file (font_00_sfnt_off000060b2.bin)
- http://www.daltonmaag.com/In extracted file (font_02_sfnt_off00009490.bin)
- https://xigikomi.files.wordpress.com/2020/11/20503209757.pdfIn PDF document text
- https://losorul.files.wordpress.com/2020/11/ruzepomagowo.pdfIn PDF document text
- https://fimalul.files.wordpress.com/2020/11/xenikefeg.pdfIn PDF document text
- https://kedijabu.files.wordpress.com/2020/11/jinojulukugogonole.pdfIn PDF document text
- https://zojemadej.files.wordpress.com/2020/11/73587489466.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_off000060b2.bin)
Extracted artifacts 3
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off000060b2.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x60B2 | 5036 bytes |
SHA-256: 0af41948f3cbdac2b5949a02e9f7412dabb8bd41b42dfab88f1332ddcb9db40f |
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font_01_sfnt_off000071d9.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x71D9 | 10220 bytes |
SHA-256: 9666a810bc89f13d8728381e84f62c87f6e2e19946a9e95daf02ea5a79bae97f |
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font_02_sfnt_off00009490.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x9490 | 4324 bytes |
SHA-256: 0d0f64e27578eb124b8bc81c7eceacdd166e22eddd95c81328e9fbd7de2a6333 |
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