MALICIOUS
194
Risk Score
Malware Insights
MITRE ATT&CK
T1566.001 Spearphishing Attachment
T1059.007 JavaScript
This PDF file contains embedded links that point to known malicious redirector infrastructure, specifically 'https://gettraff.ru/123?keyword=ventura+county+fictitious+business+name'. The document body, though heavily obfuscated, appears to be a lure related to business name registration, aiming to trick users into clicking the malicious link. The ML classifier also strongly indicated maliciousness.
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=ventura+county+fictitious+business+name In PDF document text
- https://rivisoni.weebly.com/uploads/1/3/0/7/130739016/widesisiba.pdfIn PDF document text
- https://revibafejinaj.weebly.com/uploads/1/3/4/4/134485322/982995b7d985770.pdfIn PDF document text
- https://nizesuvijeva.weebly.com/uploads/1/3/1/6/131607023/8c440.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/72004b55-341f-4533-8c9e-432655738972/12721207225.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/5dc86af0-966f-4c3f-aca9-bd9609f43425/66931743565.pdfIn PDF document text
- https://s3.amazonaws.com/wizuluworafid/bufepumurazaxu.pdfIn PDF document text
- https://s3.amazonaws.com/pujirageg/22488147565.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/b824f448-e280-47b4-a663-d60fe9aba4f6/tazuxixesuguzozuzod.pdfIn PDF document text
- https://uploads.strikinglycdn.com/files/47442bbc-f453-4ea7-91bf-a1a18b7b6864/dogurarukewotolo.pdfIn PDF document text
- https://s3.amazonaws.com/rekawexuretowo/zafejefamokelodiseroxebod.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_off00009e1d.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x9E1D | 5204 bytes |
SHA-256: 6829d04715e04528dcc1bcda7e229ab0acf9a8170815ea474fd01ddb8077891e |
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font_01_sfnt_off0000afc9.bin |
pdf-font-stream | PDF embedded font (sfnt) at offset 0xAFC9 | 11384 bytes |
SHA-256: 216578ae28e3937f92db803938e7cc530f208e8640473d8840c1372714e6caf4 |
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