MALICIOUS
134
Risk Score
Machine Learning
- Nyx PDF Classifier malicious score 1.0000
Heuristics 4
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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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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://ggtraff.ru/strik?keyword=caso+enron+ensayo In PDF document text
- http://files.altofrio.com/uploads/1/3/0/7/130776511/865e875.pdfIn PDF document text
- http://files.paulsfranchiseleague.com/uploads/1/3/1/4/131438249/kabuvoxije_kuvorenuzixuw_raxejusub.pdfIn PDF document text
- http://tezofazag.opalfund.org/uploads/1/3/1/3/131379833/kuzobife_rojoganuto.pdfIn PDF document text
- https://site-1036783.mozfiles.com/files/1036783/83416379057.pdfIn PDF document text
- https://site-1037130.mozfiles.com/files/1037130/76321724060.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/c7e5f3cc-5271-4289-99cd-500253fe1169/lavisajumamefat.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/e1a56bc7-abf5-40f7-b720-102f9d0aed1b/kuretoxomodelifulunoj.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/20e400e8-eae3-46ae-a48b-622b3a2589c3/gitegip.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0486/5979/2022/files/b_29_bomber_engines.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0483/4656/2713/files/mepemonexixenefigebapar.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_off00007091.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7091 | 4652 bytes |
SHA-256: 406cc5d69aef08f8b5954ff2b1ac30e2b4bb1631bb70162cfbdfc771a91e44a7 |
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font_01_sfnt_off00008071.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x8071 | 10500 bytes |
SHA-256: 14f6c3a14e3dd9ede346513c07db2464e25e37bd717293b3715abba304a52832 |
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