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.ru/pify?keyword=libelium+iot+survey+report In PDF document text
- http://jakamile.elisabethowens.com/uploads/1/3/0/7/130738993/2a9b69ca.pdfIn PDF document text
- http://www.ascendercorp.com/In PDF document text
- http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
- https://cdn.shopify.com/s/files/1/0436/5520/0918/files/neduluwewotenitifasiz.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0428/8705/3471/files/35680337273.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0437/1536/2984/files/58247443184.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0437/9095/8749/files/9213802252.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/4862/3510/files/vcds_17._8_1.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/5317/0334/files/48597943762.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/0521/3854/files/12888947707.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/9617/7816/files/tia_942.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/5663/5816/files/zuwovoxur.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/0069/1868/files/zolozufup.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0432/8423/4398/files/appsc_group_4_previous_papers_in_english.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0433/8342/3126/files/24932776538.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_off00006254.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x6254 | 5000 bytes |
SHA-256: a6c0cf34340fc43968ab9d8c3534cd0a3c8888db9015f5aef643ae383ad5a485 |
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font_01_sfnt_off0000734a.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x734A | 10232 bytes |
SHA-256: ace3f3802c17ed3265f002dd65c118c58a7630cbc51e95cb22a57192f46c0f01 |
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