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.link/pify?keyword=google+sites+app+iphone In PDF document text
- http://natuto.the-blessedseed.com/uploads/1/3/1/4/131413418/zasotizizekalagiwe.pdfIn PDF document text
- https://site-1041933.mozfiles.com/files/1041933/42002350203.pdfIn PDF document text
- https://site-1037858.mozfiles.com/files/1037858/65786171410.pdfIn PDF document text
- https://site-1043530.mozfiles.com/files/1043530/92236401793.pdfIn PDF document text
- https://site-1038777.mozfiles.com/files/1038777/rijukapufebufa.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/1659a0fc-121b-4374-8456-40a38ac9c6be/14080259859.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/0445fdbe-0da4-46dd-92aa-9365f5a27eed/nifemikapopobijekeso.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/e04c4579-4e0c-4dea-96ad-d41dc10efc15/36050363965.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0487/8758/7237/files/xerofemub.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/0855/6182/files/in_dark_places_1997_parents_guide.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0438/0898/1153/files/yyz_bass_cover.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_off0000728e.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x728E | 5016 bytes |
SHA-256: 37b410482404a4c90aaf2e2ce73ae88c585234506b214c81e87fb37e73820d2c |
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font_01_sfnt_off000083a8.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x83A8 | 10596 bytes |
SHA-256: 94ef6681265b4d7ef77e45beb4506d22272a0f69b388a983a40d4f29756fcb7b |
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