MALICIOUS
150
Risk Score
Malware Insights
MITRE ATT&CK
T1566.002 Spearphishing Attachment
T1204.002 Malicious Link
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 exhibits a PDF link farm, with numerous external links, one of which is a redirector to 'ttraff.club'. The document body contains the text 'Download from echhi iwara' and the malicious URL, suggesting a lure to a potentially harmful site.
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.club/wix?keyword=download+from+echhi+iwara
- https://static.usrfiles.com/ugd/d775a9_e7098f7548954c5eae557164beefa0a3.pdf
- https://static.usrfiles.com/ugd/c83fdb_8cc5c9e29ae844fc8a7bb408fe54d6e0.pdf
- https://static.usrfiles.com/ugd/b8c837_b8aeafbef4f54d0883ca3820e25ac78c.pdf
- https://static.usrfiles.com/ugd/de60da_63ce26d120bd49f6bc0b27832e7c45b7.pdf
- https://static.usrfiles.com/ugd/23b571_5343944c75124733b17d90cdafe9d496.pdf
- https://cdn.shopify.com/s/files/1/0427/7446/2631/files/recurrent_calcium_oxalate_stone_formation.pdf
- https://cdn.shopify.com/s/files/1/0433/6150/1336/files/2017_inspection_dashboard_analyse_school_performance_data.pdf
- https://cdn.shopify.com/s/files/1/0434/5036/8152/files/87486416780.pdf
- https://static.usrfiles.com/ugd/1f5cef_4cf6a352e77b408d8b5ed93f13bcfd4a.pdf
- https://static.usrfiles.com/ugd/3b47cb_90e6b9d64fa447769bd6b263700a487f.pdf
- https://static.usrfiles.com/ugd/b8c837_8642fb330a784758b48b2f0409f352f2.pdf
- https://static.usrfiles.com/ugd/b8c837_68e2dc9261bb40a9a60e40b5ca68ed52.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_off00005f7a.binb31194a5860d7808573570b1f92792610cc8a1220c45a7e6784cc2b502af2745 |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x5F7A | 5172 bytes |
font_01_sfnt_off000070fa.binb8169a641c4d2ffe646e74e1abec2060c27131bb0164e46d2101521a5ab01fe1 |
pdf-font-stream | PDF embedded font (sfnt) at offset 0x70FA | 15208 bytes |
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