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://traffking.ru/123?keyword=half+life+practice+problems+with+answers In PDF document text
- https://zesopupejilit.weebly.com/uploads/1/3/0/7/130738861/8911912f5f58fde.pdfIn PDF document text
- http://www.ascendercorp.com/In PDF document text
- http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
- https://gigevuko.files.wordpress.com/2020/11/the_distribution-provided_pre-install_script_failed_nvidia_ubuntu_16.04.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/a1dea644-ef16-4c90-b6bc-2323638b9480/89894085832.pdfIn PDF document text
- https://navafukowo.files.wordpress.com/2020/11/30806907799.pdfIn PDF document text
- https://zadireru.files.wordpress.com/2020/11/88723242797.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/7b09e645-0890-45cb-b2fe-2d75bbd33ddb/57736976914.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/a3a86a97-be53-43ca-8df9-404426fdb5d1/bawufagimozudosaviwapi.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/563983fb-b89d-4fb7-9412-a126bba0a01a/the_basic_practice_of_statistics.pdfIn PDF document text
- https://losorul.files.wordpress.com/2020/11/ruzepomagowo.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_off00005d4e.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x5D4E | 5448 bytes |
SHA-256: 735b67eb6310e89657cbb21fd81e1eb4d83f77b3890f7909b25708937cc25dc4 |
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font_01_sfnt_off00006fb6.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x6FB6 | 9692 bytes |
SHA-256: 7b298cc93c8e39d5ec5a4c268dd4fd5f2b7d9c52206a004dad3d86ee774a7b0c |
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