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The domain 'chinaspurs.com' uses the commercial generic top-level domain (.com) without a subdomain. The registrable portion 'chinaspurs' spans 10 characters holding 3 vowels versus 7 consonants. Splitting it apart reveals 2 words: china, spurs. Average segment length settles at 5 characters. No strong language cues emerged from the frequency lists.

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[SAEN] 圣安东尼奥如何变身“空接之城”？功臣竟是卢克·科内特，而非文班亚马 - 阿拉莫议事厅 - 马刺中文论坛

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[SAEN] 圣安东尼奥如何变身“空接之城”？功臣竟是卢克·科内特，而非文班亚马

周一于芝加哥的比赛中，正是科内特

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【马刺之声字幕】保罗:我们要抛掉所有＂年轻球员＂的标签，我们和别人一样都是职业球员

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[PtR] 比赛前瞻：圣安东尼奥马刺 vs. 犹他爵士

By Jeff McDonald, Staff Writer | San Antonio Express-News (SAEN), 2025-11-12 13:34:29 
由生成式人工智能翻译，译文内容可能不准确或不完整，以原文为准。 
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By Jeff McDonald, Staff Writer | San Antonio Express-News (SAEN), 2025-11-12 13:34:29  由生成式人工智能翻译，译文内容可能不准确或不完整，以原文为准。    圣安东尼奥马刺队中锋卢克·科内特（左）在2025年11月10日星期一于芝加哥举行的一场NBA比赛下半场，与前锋维克托·文班亚马一同庆祝。(美联社照片/Nam Y. Huh)  斯蒂芬·卡斯尔 (Stephon Castle) 有一个秘密。  当谈到为马刺“法式香草”双人前场的任何一端送出空中接力助攻时，他更偏爱“香草”那部分。  对于那些不熟悉球队最新绰号潮流的球迷来说，这意味着卡斯尔喜欢将球抛给卢克·科内特 (Luke Kornet) 的意愿，甚至超过了维克托·文班亚马 (Victor Wembanyama)。  这绝不是对文班亚马的贬低。  “卢克（在空接时）可能机会更好一些，”卡斯尔说。“面对文班，对手总是在防他的空接。卢克得到的可能是更轻松的机会。”  这个选择乍看之下或许有些违背直觉。文班亚马身高7英尺4英寸，如同一个弹簧人，而他对队友...

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Xiamen 35.com Information Co., Ltd.

CHINASPURS.COM

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Google

First-Party Tracking

✅ Low Risk - https://chinaspurs.com/t/topic/43566

Requests	IP Address	Location	AS Autonomous System
20	216.239.34.36	Unknown	Unknown
3	172.217.18.14	Unknown	Unknown
3	142.250.185.168	Unknown	Unknown
3	216.239.32.36	Unknown	Unknown
3	66.102.1.154	Unknown	Unknown
3	47.91.236.67	Unknown	Unknown
3	216.58.206.72	Unknown	Unknown
3	146.75.120.200	Unknown	Unknown
3	142.250.186.99	Unknown	Unknown
3	142.250.181.227	Unknown	Unknown
92	25	-	-

Security Scan Report: chinaspurs.com

Summary

AI Security Verdict

Safe Website

Safety Factors

Details

Screenshot

Page Load Overview

Language Analysis

Primary Language

Detection Details

Website Classification

Primary Category

All Detected Categories

Detected Features

Domain & IP Information

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

ssdeep (Context Triggered Piecewise Hashing)

sdhash (Similarity Digest Hashing)

Image Hashes

Perceptual Hashes

Other Hashes

Scan History