MALICIOUS
194
Risk Score
Machine Learning
- Nyx PDF Classifier malicious score 1.0000
Heuristics 5
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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.
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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.
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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.
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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.
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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.me/123?keyword=anomaly+scan+normal+report+pdf In PDF document text
- https://cdn-cms.f-static.net/uploads/4373770/normal_5f88f2cd8c916.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4367310/normal_5f87adfd07045.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4366336/normal_5f87cb44e6ede.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4369183/normal_5f8849c230a26.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4365586/normal_5f871322eb614.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4368782/normal_5f885892060a2.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4371246/normal_5f884d00c9e19.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4370278/normal_5f88e1fdbda55.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4368750/normal_5f893a6a9a9d9.pdfIn PDF document text
- http://www.ascendercorp.com/In PDF document text
- http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
- https://uploads.strikinglycdn.com/files/ae08a5d8-709f-48f5-96cc-b2f59b1c74df/23753922020.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/3f660603-4c0a-4e65-9f1c-599ef477449a/54936617740.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/acfacbe5-7342-4070-9f06-d547dd99db9d/dajixovubib.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/b573a0d2-7545-43cd-b422-0347d0762c8b/29683793587.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/a9bad0da-7b07-4873-8453-e5bd3e7393ba/zugijevelamekonu.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/569c2dd2-3db2-42bf-8c53-865d68d45f44/51290936663.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0438/3562/1536/files/zizuragadorolefebi.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0486/4589/8408/files/news_broadcast_script_english.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0481/6361/8965/files/naxexode.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0429/2945/5271/files/miller_and_levine_biology_macaw.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/858a777a-f9b8-4013-876c-ebf5cf2ead5d/wivavemigudelesu.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/678087cf-9d6a-41ed-9c28-8b3adc3691f2/jiforefupu.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/e6026e18-cd71-4ff4-9590-2bfd43e8117a/27879883834.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_off00007062.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7062 | 5392 bytes |
SHA-256: 402182c79fecd977a99b5ec5636f3df4f81666bb03d8817bea9962995163c0e4 |
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font_01_sfnt_off000082a4.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x82A4 | 10544 bytes |
SHA-256: 6141e933c4753051c50725031b81f47e05c66a93a7361ae74d9693bb64620259 |
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