Malware Insights
The PDF file contains a large number of embedded links, many of which point to PDF files hosted on static.usrfiles.com, forming a link farm. One of these links, https://ttraff.ru/wix?keyword=stewart+copeland+ride+cymbal, is identified as a known malicious redirector. The ML classifier also strongly indicated maliciousness. The document body appears to be corrupted or heavily encoded, preventing a clear understanding of its lure, but the link farm and redirector are strong indicators of malicious intent, likely to lead the user to further malicious content.
Machine Learning
- Nyx PDF Classifier malicious score 1.0000
Heuristics 4
-
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.
-
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.
-
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.
-
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.ru/wix?keyword=stewart+copeland+ride+cymbal
- https://static.usrfiles.com/ugd/1a89c8_b7c8153e6d3c4a75853397bdbc14b94a.pdf
- https://static.usrfiles.com/ugd/b8c837_4cb3ad1242f04be28a2eabfdc0afa6fb.pdf
- https://static.usrfiles.com/ugd/9374a7_44b0f4fe2a4a472cbeafa7d6bc7f292a.pdf
- https://static.usrfiles.com/ugd/d4da64_96b18813ecf640769468ef819b731da7.pdf
- https://static.usrfiles.com/ugd/b8c837_e9550f5ebfc54c1f9895287dfe1b2dab.pdf
- https://static.usrfiles.com/ugd/1849a1_7a7d9f82c181478abfd5f0f2a02f673a.pdf
- https://static.usrfiles.com/ugd/15ebe2_70c5b69bf1bc40b5b04fb0e7e080161c.pdf
- https://cdn.shopify.com/s/files/1/0440/7197/7110/files/traducteur_anglais_franais_en_ligne_gratuit.pdf
- https://cdn.shopify.com/s/files/1/0432/4173/4311/files/7974664308.pdf
- https://cdn.shopify.com/s/files/1/0452/8789/9297/files/filing_a_police_report_san_francisco.pdf
- https://cdn.shopify.com/s/files/1/0429/0222/5059/files/63009165208.pdf
- https://cdn.shopify.com/s/files/1/0436/6853/7497/files/decisional_balance_worksheet_ace.pdf
- https://cdn.shopify.com/s/files/1/0438/8149/6744/files/82211149446.pdf
- https://cdn.shopify.com/s/files/1/0450/9509/2376/files/san_diego_marine_forecast.pdf
- http://www.w3.org/1999/02/22-rdf-syntax-ns#
- http://purl.org/dc/elements/1.1/
- http://ns.adobe.com/pdf/1.3/
- http://ns.adobe.com/xap/1.0/
- http://ns.adobe.com/xap/1.0/mm/
- http://ns.adobe.com/xap/1.0/rights/
Extracted artifacts 2
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off00004358.bin4c239133142d1264671d6cbe3c85750619fc6a9e10b5ee2652c4d34d37900a66 |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x4358 | 5480 bytes |
font_01_sfnt_off000055e9.bin125cf83b754c2fa1d84aaa03059c37576b52c79a1bc0a1d5604eee3f84ef2799 |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x55E9 | 9392 bytes |
Open this report in the interactive analyzer, or submit your own file for analysis.