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://ttraff.club/123?keyword=most+fun+ps4+games+multiplayer In PDF document text
- https://cdn-cms.f-static.net/uploads/4365547/normal_5f880f53244eb.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4366042/normal_5f95b92e90878.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4417139/normal_5f9baca2a54db.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4365547/normal_5f872dbf69787.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4419423/normal_5f9a101399ae7.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4415974/normal_5f95e903e155d.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/vuzufexarevima/4407665149.pdfIn PDF document text
- https://s3.amazonaws.com/xuxifuzituwu/didixiguvokuguzewa.pdfIn PDF document text
- https://s3.amazonaws.com/fuwawibu/fagaxorumuxelofon.pdfIn PDF document text
- https://s3.amazonaws.com/bugutaj/instagram_login_attempt.pdfIn PDF document text
- https://s3.amazonaws.com/wonoti/auditoria_informatica_un_enfoque_practico_2da_edicion_mario_piattini.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/c6d0da22-39e1-4405-9299-72f6fa962e1e/69764768993.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_off00007121.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7121 | 5416 bytes |
SHA-256: 10e483c6d3b7de6892740507efea0db77fe549e15a734ccde5b1aea8e17a4ed6 |
|||
font_01_sfnt_off00008395.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x8395 | 10208 bytes |
SHA-256: b27da32fde6761ef1b3db61e18cfc2cdeba7ecda4b8dde36204dc6a88605ea34 |
|||
Open this report in the interactive analyzer, or submit your own file for analysis.