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://gettraff.ru/strik?keyword=thimolina+leonard+como+usar+un In PDF document text
- https://site-1048226.mozfiles.com/files/1048226/82311654072.pdfIn PDF document text
- http://sutujo.insuranceagencyadvisor.com/uploads/1/3/0/7/130776277/lenibezulug.pdfIn PDF document text
- http://files.iteachinglab.com/uploads/1/3/1/3/131378838/9601409.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/1/0483/7720/0793/files/66341112444.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0431/5676/6869/files/pathfinder_forge_of_the_giant_god.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/0459/1254/files/66693097722.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/6131/2664/files/10856098193.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0434/5777/3728/files/joint_mathematics_meetings_2020.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0438/0921/0529/files/canyon_furniture_bunk_bed_instructions.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0493/6079/7862/files/nekejezulowexijofadife.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_off0000536a.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x536A | 5128 bytes |
SHA-256: 42df744fcb3de0127fbcec320ea86224432a19ffda85c6454538301a320384b7 |
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font_01_sfnt_off000064a5.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x64A5 | 10300 bytes |
SHA-256: f7895e3ca8be144866a6f3815d5a675b9e9f8ea05bb516bce887ecfa30f68a04 |
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