MALICIOUS
142
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.
-
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.
-
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
-
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://cctraff.ru/strik?keyword=kd+campus+aptitude+book+pdf In PDF document text
- https://cdn-cms.f-static.net/uploads/4366020/normal_5f887c07bd391.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4366359/normal_5f872d7a1cf58.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4369626/normal_5f87ef1e892a1.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4367646/normal_5f8754b30d5ec.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4366324/normal_5f87f75ff02c8.pdfIn PDF document text
- https://site-1040164.mozfiles.com/files/1040164/tugirusaguvewoxijusazes.pdfIn PDF document text
- https://site-1038733.mozfiles.com/files/1038733/24600411813.pdfIn PDF document text
- https://site-1038397.mozfiles.com/files/1038397/29786709083.pdfIn PDF document text
- https://site-1040977.mozfiles.com/files/1040977/61788276977.pdfIn PDF document text
- https://site-1043314.mozfiles.com/files/1043314/siteraravibevewojoruzipo.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4366360/normal_5f8723f6e7d0e.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4368478/normal_5f881fbfd8966.pdfIn PDF document text
- http://www.ascendercorp.com/In PDF document text
- http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
- http://fedorahosted.org/lohitIn PDF document text
- https://cdn.shopify.com/s/files/1/0451/7065/5418/files/63647740354.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0498/0863/8106/files/rebutuvonatelabo.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0436/4628/8025/files/making_ethernet_cable_splitter.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0472/3130/3845/files/52485915233.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0440/9714/2936/files/sofa_legs_lowes.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 3
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off0000619f.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x619F | 5344 bytes |
SHA-256: 7c265fa07471c3b0c245c8f0c12037e3ee49fa6e43ee8d8e2cc8add48c2d8e16 |
|||
font_01_sfnt_off000073b3.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x73B3 | 10884 bytes |
SHA-256: 9e6683de32f7967e35bf5260c9e0223ff6ec74c33daf67b4ecf2b9f4d9cf8ba8 |
|||
font_02_sfnt_off000098dc.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x98DC | 5772 bytes |
SHA-256: 9c4e237a4ea741820379059a035f862012713d8d96f2580ec5e10da127723e5c |
|||
Open this report in the interactive analyzer, or submit your own file for analysis.