MALICIOUS
242
Risk Score
Machine Learning
- Nyx PDF Classifier malicious score 1.0000
Heuristics 7
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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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Payment redirection / bank-detail change lure high SE_PAYMENT_REDIRECT_LUREDocument describes new or changed bank, wire, ACH, IBAN, SWIFT, or routing instructions — a high-value business-email-compromise pattern
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Visual download / call-to-action button lure low SE_DOWNLOAD_BUTTONDocument contains a call-to-action phrase ('Click here to download', 'Download Now', etc.) — low-signal unless other findings point to a malicious workflow
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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://cctraff.ru/aws?keyword=routing+protocols+tutorial+pdf In PDF document text
- https://cdn-cms.f-static.net/uploads/4375690/normal_5f937481936e7.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4374013/normal_5f89d0bfafd22.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4375361/normal_5f91e5feec63d.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4367303/normal_5f87c57f997be.pdfIn PDF document text
- http://www.ascendercorp.com/In extracted file (font_00_sfnt_off000081b3.bin)
- http://www.ascendercorp.com/typedesigners.htmlIn extracted file (font_00_sfnt_off000081b3.bin)
- http://www.daltonmaag.com/In extracted file (font_02_sfnt_off0000b833.bin)
- https://cdn.shopify.com/s/files/1/0482/8115/7796/files/exotic_ships_nms.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0438/6285/1749/files/87606193502.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/2040/3356/files/gakot.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0492/3159/3628/files/t_mobile_band_71_coverage_map_2019.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/3705/6411/files/66931880125.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/0621/4819/files/rijevufepinemunixuxuvujez.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0502/5385/6921/files/gktoday_month_wise.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0437/4390/3905/files/2020_aprilia_rsv4_service_manual.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/9400/7191/files/gopro_app_for_android_6.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0440/7597/4821/files/30667522220.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/8888/7460/files/ligutadezifudi.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0488/2854/7237/files/vobuki.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/2044/3045/files/wilbur_curtis_parts_manuals.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0483/6071/8485/files/84170380355.pdfIn PDF document text
- https://s3.amazonaws.com/tadovu/luragatatepotegorepu.pdfIn PDF document text
- https://s3.amazonaws.com/fatisake/reading_and_writing_targets_3_student_book.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_off000081b3.bin)
Extracted artifacts 3
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off000081b3.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x81B3 | 5092 bytes |
SHA-256: 138376630d5a4cb19eb6418610ca77e2ab4bf07142eaf630f8ee2f2fa5761037 |
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font_01_sfnt_off00009312.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x9312 | 10816 bytes |
SHA-256: 84650232403b1351d3eaf4ccba9b4101df36b243fae3e584308bd6011ab5ea35 |
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font_02_sfnt_off0000b833.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xB833 | 4324 bytes |
SHA-256: 0d0f64e27578eb124b8bc81c7eceacdd166e22eddd95c81328e9fbd7de2a6333 |
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