MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
T1059.007 JavaScript
The PDF contains embedded links that redirect to a malicious URL, identified as a redirector for SEO spam. The document body, though heavily obfuscated, contains a URL that appears to be part of this lure. The ML classifier strongly indicates maliciousness, and the heuristics point to a link farm and redirector strategy.
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://gettraff.ru/aws?keyword=avengers+endgame+movie+unblocked In PDF document text
- https://cdn-cms.f-static.net/uploads/4392666/normal_5fa0c97618081.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4366308/normal_5f8821ad73be7.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4366957/normal_5f99def14bfc5.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4366324/normal_5f897d664f5cf.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4408721/normal_5f97b52e9e6e9.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4378379/normal_5f9cd8a56dec7.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4369501/normal_5f8f6fd051010.pdfIn PDF document text
- https://vavuxajibibugu.weebly.com/uploads/1/3/4/4/134472661/c12128ea.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4402737/normal_5f938d286446a.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/2e159138-c26a-4b1d-9972-8293adc14b2e/20853292225.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/2676dadf-bb76-4e14-a1e1-4d5d9a983461/jawiviseke.pdfIn PDF document text
- https://s3.amazonaws.com/subud/27476846264.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_off000063bb.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x63BB | 5512 bytes |
SHA-256: eb95090bdf86af44f3dfdd18a812c7992e1020f985d4075cc48e25b400004998 |
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font_01_sfnt_off00007671.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x7671 | 10780 bytes |
SHA-256: 2d9bbef05f1cb76e5ec7e620c2cdaf7521fc0b833719785ce9c3246a550e4751 |
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