Security Scan Report: stock.finance.sina.com.cn

Redirected to: https://stock.finance.sina.com.cn/usstock/quotes/tqqq.html

Submitted: Oct 13, 2025, 2:27:44 PMCompleted: Oct 13, 2025, 2:33:00 PMpubliccompleted
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Summary

This website contacted 47 IPs in 6 countries across 43 domains to perform 295 HTTP transactions. The main domain is stock.finance.sina.com.cn and was registered NaN years ago.

Submitted URL: http://stock.finance.sina.com.cn/usstock/quotes/tqqq.html

Effective URL: https://stock.finance.sina.com.cn/usstock/quotes/tqqq.htmlRedirected

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate finance page with no security concerns.

Safety Factors
Established domain with decades of history
No malicious Indicators of Compromise
No credential or payment collection
Hosted on standard web infrastructure, not IPFS or cloud storage
Page content matches legitimate financial data
Domain age information unavailable

Details

Page Title

纳斯达克指数ETF-ProShares三倍做多 102.31(5.40%)_美股_新浪财经_新浪网

Scan Type

public

Language

🏳️

ZH-CN

(43% confidence)

Category

social_media

(50%)

Domain Information

You're looking at domain 'stock.finance.sina.com.cn' on the Chinese country-code top-level domain (.com.cn), featuring subdomain 'stock.finance'. The second-level label 'sina' is 4 characters long holding two vowels versus two consonants. Splitting it apart reveals 3 words: s, in, a. Median word length comes out to one character. 's' most often appears in Hungarian. You will also see it in Portuguese and Galician contexts.

Screenshot

Security scan screenshot of http://stock.finance.sina.com.cn/usstock/quotes/tqqq.html

Page Load Overview

19.39s
Total Load Time
295
HTTP Requests
43
Domains
1.4 MB
Total Size

Language Analysis

Primary Language

🏳️ZH-CN
Code: zh-cn
Confidence:43%
Script:Unknown
Direction:ltr

Detection Details

Language Code:zh-cn
Detection Confidence:43%
Script Type:Unknown
Text Length:8,317 chars
Detector Agreement:50%

All Detected Languages

🏳️zh-cn(100%)🇨🇳zh(0%)

Website Classification

Primary Category

social_media50% confidence
Type: spa
Method: structural

All Detected Categories

social_media
50%
forum
40%

Detected Features

Login Form
Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9636.51.224.96China
AS3793615F,Ideal Plaza No.58 Bei Si Huan Xi Road
72156.225.108.41Hong Kong
AS139057Edgenext Legend Dynasty Pte. Ltd.
35163.181.58.171Frankfurt am Main, Hesse, Germany
AS24429Zhejiang Taobao Network Co.,Ltd
16142.250.185.226United States
AS15169GOOGLE
1536.51.224.79China
AS3793615F,Ideal Plaza No.58 Bei Si Huan Xi Road
936.51.254.102China
AS3793615F,Ideal Plaza No.58 Bei Si Huan Xi Road
6142.250.186.98United States
AS15169GOOGLE
6163.181.58.175Frankfurt am Main, Hesse, Germany
AS24429Zhejiang Taobao Network Co.,Ltd
6163.181.58.177Frankfurt am Main, Hesse, Germany
AS24429Zhejiang Taobao Network Co.,Ltd
6163.181.58.170Frankfurt am Main, Hesse, Germany
AS24429Zhejiang Taobao Network Co.,Ltd
29547--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T135E3E93087CE082B412396C9F4B1971DA1CB86B7DA034D5AFBFF05659BCDEA4780629D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:+So4gCPztixDonHXOn4aVXVtGCpiik1Nsib0JoIpW:Po1CPxixDoCGEk1NsiWW

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:149642:gFwWAVNhEcIAYpC5BYoZgKiwZSQ0BAHiaiQMERKgoQAYAIDFOUZECxuUwRBh7A4ADggAgkXQtgGdLAGmwiIUCYQUNgkGEwBR

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Perceptual Hashes

Average Hash:c3c3c7efe7e7ffc7
Perceptual Hash:b03938c399db929e
Difference Hash:161e0e1c0c0c0c1e
Wavelet Hash:c282c2cec7c7c7c3
Color Hash:#9e6ce0

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data