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://cctraff.ru/strik?keyword=catalysis+lecture+notes+pdf In PDF document text
- http://files.foxmanager.co.uk/uploads/1/3/1/6/131636736/4d61ca.pdfIn PDF document text
- http://xuget.robertoborgatta.org/uploads/1/3/0/7/130740558/bamisi.pdfIn PDF document text
- http://wikalowa.sassahr.com/uploads/1/3/2/6/132681443/jitileloxutav.pdfIn PDF document text
- http://files.amyspetsitting.co.uk/uploads/1/3/2/7/132741144/6971823.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/1/0437/9528/4130/files/59627890454.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/4760/0807/files/somekarefonedoputar.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0436/4392/8726/files/9153890301.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0437/9767/6192/files/kazijaxoxirexoripawisa.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/35d976e4-6fca-462c-8371-5b20192e67b5/16996260523.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/7588b2df-2fa5-472a-a25b-e31699830da7/mufaloretakisel.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_off00005dc0.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x5DC0 | 5156 bytes |
SHA-256: 8cc9fc77adf6e83f431c9f780aa510763c673d37ca9cb1c934d1113aabaf3148 |
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font_01_sfnt_off00006f5f.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x6F5F | 10292 bytes |
SHA-256: 62b36bda466453845e97330c990a446a91ed43d9098c93bae1dd05a4388bf93a |
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