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://ttraff.me/123?keyword=are+movies+italicized+in+papers In PDF document text
- https://cdn-cms.f-static.net/uploads/4422135/normal_5f9c8755e3568.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4379362/normal_5f97b8d299e23.pdfIn PDF document text
- https://sibakixode.weebly.com/uploads/1/3/2/8/132814768/7535962.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4389085/normal_5f91de352a203.pdfIn PDF document text
- http://www.ascendercorp.com/In PDF document text
- http://www.ascendercorp.com/typedesigners.htmlIn PDF document text
- https://s3.amazonaws.com/henghuili-files/space_oddity_ukulele.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0496/7107/8045/files/97374612509.pdfIn PDF document text
- https://s3.amazonaws.com/zaxuledo/xulafakixaji.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0505/2655/2264/files/blomberg_wall_oven_manual.pdfIn PDF document text
- https://s3.amazonaws.com/regegozumekoza/74845392926.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0440/2076/0734/files/reduditetabunefo.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_off000066b0.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x66B0 | 5320 bytes |
SHA-256: f64acc2e650a280fdb6eade64ad46d788b5001791e9b29d15a6e24f1148dfaa0 |
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font_01_sfnt_off000078bb.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x78BB | 10060 bytes |
SHA-256: a6feb47b4ec4806bfbfb5a17bd0c0c0ccf47db35ac7a169c6d6ee07210775533 |
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