MALICIOUS
134
Risk Score
Machine Learning
- Nyx PDF Classifier malicious score 1.0000
Heuristics 4
-
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.
-
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/wb?keyword=technicienne%20de%20surface In PDF document text
- https://cdn-cms.f-static.net/uploads/4389824/normal_5f9341df8779b.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4417531/normal_5f9de952857a7.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4369520/normal_5f93a9de2dff3.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4369150/normal_5f87a9f3d959e.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4368501/normal_5f9fcc1653f41.pdfIn PDF document text
- https://jijibaduwa.weebly.com/uploads/1/3/4/4/134495912/xawoka.pdfIn PDF document text
- https://suzokixuvajix.weebly.com/uploads/1/3/0/7/130776208/4800481.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4409409/normal_5f9a11512543f.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/1/0266/8580/0645/files/lord_you_have_come_to_the_seashore.pdfIn PDF document text
- https://s3.amazonaws.com/rokuwapesu/nodiwavadamapedu.pdfIn PDF document text
- https://s3.amazonaws.com/pewibim/flyy_girl.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_off000058c7.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x58C7 | 5024 bytes |
SHA-256: dffbc87fdf7f32ea690f8a944df0e34138f471684a3ce70ff9fd248080ff3757 |
|||
font_01_sfnt_off000069d2.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x69D2 | 11080 bytes |
SHA-256: 089dfb8336718f383773baf4ab4c752e8060a4441edc8960fefd29f34142cb8e |
|||
Open this report in the interactive analyzer, or submit your own file for analysis.