MALICIOUS
194
Risk Score
Machine Learning
- Nyx PDF Classifier malicious score 1.0000
Heuristics 5
-
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.
-
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.
-
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.
-
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.
-
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://traffking.ru/123?keyword=refrigerator+compressor+noise+diagnosis In PDF document text
- https://cdn-cms.f-static.net/uploads/4387711/normal_5f9e6afbbe024.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4390056/normal_5f9594ab79718.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4420604/normal_5f9811745a77c.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4367311/normal_5fa1c094089ae.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4367631/normal_5f874ad3b1d0e.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4381534/normal_5f8ff430a9ea0.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4403804/normal_5f924e726818f.pdfIn PDF document text
- https://disaxugotusineg.weebly.com/uploads/1/3/1/8/131871710/2577621.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4402247/normal_5f9441636319d.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/wujapu/18832492658.pdfIn PDF document text
- https://s3.amazonaws.com/wizuluworafid/que_es_el_amoniaco.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/6335/3250/files/petroleum_geology_notes.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/8029/4298/files/26378175367.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_off00006104.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x6104 | 5448 bytes |
SHA-256: 20d80ca7c633cdc8b0aaaeb38330b37e15b25bc7328ac825f0ab82a351169983 |
|||
font_01_sfnt_off00007384.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7384 | 10540 bytes |
SHA-256: 9d3a5a016ed47b2c8b8a520161e1909d06bd717dee1b781c2c41ccd43db9b456 |
|||
Open this report in the interactive analyzer, or submit your own file for analysis.