MALICIOUS
214
Risk Score
Machine Learning
- Nyx PDF Classifier malicious score 1.0000
Heuristics 6
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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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QR-code redirect lure medium SE_QR_LUREDocument instructs the user to scan a QR code with a phone — consistent with QR phishing, but also common in legitimate documents
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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=whatsapp+download+apk+file In PDF document text
- https://cdn-cms.f-static.net/uploads/4410962/normal_5fa08dc7dc340.pdfIn PDF document text
- https://dapamokosow.weebly.com/uploads/1/3/4/3/134337633/3438380.pdfIn PDF document text
- https://luwiritogejoti.weebly.com/uploads/1/3/4/2/134266422/povagututa.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4367281/normal_5f8a8deb024c6.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4394071/normal_5f91e5bf9963b.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/xanebavifamopez/fokurukikedowibixu.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/dae670b3-2b41-4cf0-952e-fa00af2c7aab/best_buy_chief_human_resources_officer.pdfIn PDF document text
- https://s3.amazonaws.com/zirojopemup/clinical_pathophysiology_book.pdfIn PDF document text
- https://s3.amazonaws.com/susopuzupure/acordes_para_acordeon_de_botones.pdfIn PDF document text
- https://s3.amazonaws.com/jinabom/wikizenipopawibejava.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/981671b6-8cd8-4454-bd77-8db7a9390801/danny_y_el_mar_azul.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_off000064f4.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x64F4 | 5200 bytes |
SHA-256: 7242512d57d368832b879e32fecf9169106704fe730029ca9060ff8d1271550e |
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font_01_sfnt_off000076c3.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x76C3 | 10044 bytes |
SHA-256: fb852d6390614b80cfa05f77c46a6e2a8121cc5228e1ed024fb695b09e98cdd6 |
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