MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
T1059.007 JavaScript
The PDF contains embedded links that redirect to malicious infrastructure, specifically identified as a redirector for SEO-based phishing. The ML classifier strongly indicates maliciousness. The document body, though heavily obfuscated, contains a URL that is also present in the heuristics, suggesting a lure for a fake manual download.
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/123?keyword=lexmark+cs410n+manual In PDF document text
- https://tivakoxidedopa.weebly.com/uploads/1/3/0/7/130776298/wenezukawoziwevekefe.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4372681/normal_5f961b7130c31.pdfIn PDF document text
- https://cdn-cms.f-static.net/uploads/4373264/normal_5f9b2a0e62240.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/novipaliwid/65470803385.pdfIn PDF document text
- https://cdn.shopify.com/s/files/1/0504/2965/7262/files/dukatanelotababeruzet.pdfIn PDF document text
- https://s3.amazonaws.com/jewizopukuni/84741123162.pdfIn PDF document text
- https://s3.amazonaws.com/jedasaber/national_history_day_project_2017.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/faa21859-5fdf-49bb-ac8e-3927bf6225c7/famuvigagubulawikij.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/55925b6e-18a1-48e4-96f6-0024f05c45de/pexilokoneditik.pdfIn PDF document text
- https://s3.amazonaws.com/gumegulaxi/avani_avittam_2019_mantras_in_tamil.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/2af1eee1-762c-433b-8d66-e218b49eee74/77438335329.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_off000070f9.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x70F9 | 5300 bytes |
SHA-256: 8ebf3c8714a13f4aa34de24117e1dacaeea63fce9c7cbbd5cfe5ef5304f925f3 |
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font_01_sfnt_off000082f8.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x82F8 | 10136 bytes |
SHA-256: 0328b207cfc59b2f59bc5a188e2b9248e31b62bf50a135827308a6d33d31f876 |
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