MALICIOUS
214
Risk Score
Machine Learning
- Nyx PDF Classifier malicious score 1.0000
Heuristics 6
-
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.
-
Callback phishing phone lure medium SE_CALLBACK_LUREDocument asks the user to call a phone number in billing, refund, subscription, fraud, or security context — consistent with callback phishing or tech-support scam patterns. Suppressed for legitimate-issuer (IRS/gov/official-form) or Microsoft license-boilerplate documents that carry no urgency or charge/dispute escalation.
-
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.cc/123?keyword=geary+county+jail+inmates In PDF document text
- https://cdn-cms.f-static.net/uploads/4407318/normal_5f93dc71351d1.pdfIn PDF document text
- https://janazasifopuno.weebly.com/uploads/1/3/4/4/134437996/961ea2d8ea.pdfIn PDF document text
- https://susetizumuru.weebly.com/uploads/1/3/4/4/134461935/1352ce74.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4366015/normal_5f8f9c16c4817.pdfIn PDF document text
- https://seririgikum.weebly.com/uploads/1/3/0/7/130739922/pawevenoza-rubivetule-kobenipirukomun-rixomolo.pdfIn PDF document text
- https://ratigejav.weebly.com/uploads/1/3/4/5/134576845/ketugalegobunu.pdfIn PDF document text
- http://www.ascendercorp.com/In PDF document text
- http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
- http://www.daltonmaag.com/In PDF document text
- https://cdn.shopify.com/s/files/1/0498/3868/6407/files/letter_a_worksheets_coloring.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/6791/5936/files/36647568131.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0436/5670/8254/files/sadivoram.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0478/6657/7062/files/ytd_downloader_for_android_phone.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0398/6184/6209/files/87016561704.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_off0000688d.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x688D | 5036 bytes |
SHA-256: 2da8d2db1dab27d29b3f3460c731f68a030043f751b25e4272d4c2549c7b2b38 |
|||
font_01_sfnt_off0000799d.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x799D | 10928 bytes |
SHA-256: fbfc3030cf8234293af0e8c27552df3392715db24c533892592bcd1e6fbdd07c |
|||
font_02_sfnt_off00009eed.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x9EED | 4324 bytes |
SHA-256: 05d2457133b820fa77aa358e30e9acfbad3f04c46ced9a37296d9311117db176 |
|||
Open this report in the interactive analyzer, or submit your own file for analysis.