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://ggtraff.ru/strik?keyword=cateterismo+venoso+umbilical+pdf In PDF document text
- https://site-1037029.mozfiles.com/files/1037029/nozibulolawuwiputavusino.pdfIn PDF document text
- https://site-1039285.mozfiles.com/files/1039285/79498792253.pdfIn PDF document text
- https://site-1037048.mozfiles.com/files/1037048/66115280051.pdfIn PDF document text
- https://site-1038351.mozfiles.com/files/1038351/72261215169.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/1/0480/9103/7859/files/mavolisinipipipubolagug.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0496/0704/9367/files/nekron_injustice_3.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0480/5302/6975/files/lowndes_county_schools.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/de4e9d0d-fb07-41c1-9488-5f914feed5df/4639095918.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/48c96129-8b7e-44c8-a1e9-71f2354ae4dc/vifalogoxiwuredexowu.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_off000078ba.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x78BA | 5408 bytes |
SHA-256: 388f03c0a4363f1f541fbf49a338f05cd44bc94dff0e59b1fc408f064873d974 |
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font_01_sfnt_off00008b04.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x8B04 | 10552 bytes |
SHA-256: 95c0f9bc5450ddc023eebfa4a9eb48b297692c64223f3bf0ecdc421d0286a137 |
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