Malware Insights
The PDF document was flagged as malicious by a machine learning classifier and contains a critical heuristic indicating it links to known malicious redirector infrastructure. It also features a PDF link farm, with numerous links pointing to external PDF files, likely to manipulate search engine results or distribute further malicious content. The primary malicious URL identified is https://ttraff.ru/wix?keyword=mostly+harmless+econometrics+pdf+download, which is suspected to be a redirector. The document body is heavily obfuscated and contains what appears to be junk data, along with the aforementioned malicious URL.
Machine Learning
- Nyx PDF Classifier malicious score 1.0000
Heuristics 3
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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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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=mostly+harmless+econometrics+pdf+download
- https://cdn.shopify.com/s/files/1/0435/4605/0714/files/catecismo_de_la_iglesia_catolica_descargar_gratis.pdf
- https://cdn.shopify.com/s/files/1/0431/6590/9160/files/melepoxadajur.pdf
- https://cdn.shopify.com/s/files/1/0437/1460/9305/files/bamboo_charcoal_compressed_facial_mask_sheets.pdf
- https://cdn.shopify.com/s/files/1/0433/3525/4171/files/66886252604.pdf
- https://cdn.shopify.com/s/files/1/0428/7243/8947/files/93341754180.pdf
- https://cdn.shopify.com/s/files/1/0433/0687/7080/files/mutiga.pdf
- https://static.usrfiles.com/ugd/b8c837_e9d795a3549d41608b705ae0f41ce733.pdf
- https://static.usrfiles.com/ugd/b8c837_067fd5a819054fd1a5076994dc77ec65.pdf
- https://static.usrfiles.com/ugd/b8c837_5915ebbfb8bb455f8e6a356e97e78d53.pdf
- https://static.usrfiles.com/ugd/b8c837_608f256606fc4cddb6c01466de91364c.pdf
- https://static.usrfiles.com/ugd/b8c837_643fd96829174a5bada6054e7027b46e.pdf
- https://static.usrfiles.com/ugd/b8c837_119944b4b5ee4258828b5250fe89c084.pdf
- https://static.usrfiles.com/ugd/b8c837_89285515dba146d78a22f869ad5f555a.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 3
Files carved from inside the sample during analysis.
| Filename | Kind | Source | Size |
|---|---|---|---|
font_00_sfnt_off00005405.bin145f99c7462bd7df206f7e3fe80aa4b875ca9a05089aadd92223d5f322ef271c |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x5405 | 5384 bytes |
font_01_sfnt_off00006644.bindb3e368a0731177e3d5653c5777be39ff8cbc7c63fef0f6709bfff2b8b923e87 |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x6644 | 9792 bytes |
font_02_sfnt_off000087ad.bind1f4a20f0e35a0564be54678b929bb8c711862c507f070c2b9a6abea8daf4378 |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x87AD | 4324 bytes |
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