Security Scan Report: inews.qq.com

Submitted: Mar 1, 2026, 11:22:29 AMCompleted: Mar 1, 2026, 11:23:51 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is inews.qq.com and was registered NaN years ago.

Submitted URL: https://inews.qq.com

The Cisco Umbrella rank of the primary domain is #1,761 of the top 1 million websitesTop 10K Site

AI Security Verdict

Safe Website

Confidence: 98%

0
Risk Score

No security concerns detected; the page is a standard 404 on a reputable, long‑standing domain.

Safety Factors
Well‑established domain
Top 10 K Cisco Umbrella ranking
No malicious Indicators of Compromise
No JavaScript malware detected
No credential or payment forms
Domain age information unavailable

Details

Page Title

inews.qq.com

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news media journalism

(60%)

Domain Information

Within the commercial generic top-level domain (.com), 'inews.qq.com' is registered with subdomain 'inews'. The core label 'qq' covers 2 characters split between zero vowels and two consonants. Breaking it apart gives one word: qq. The median word length lands at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://inews.qq.com

Page Load Overview

1.48s
Total Load Time
1
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:200 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism60% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
60%
adult content
40%
social media network
35%
healthcare medical
27%
government public service
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
143.159.233.68Singapore
AS132203Tencent Building, Kejizhongyi Avenue
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DE048E77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:EfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszU2bMy8OldK:3hoC9JSqzzbs6o3Sj3gcrsw2eAM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184558:hlAkApKAwdEEINDhDBFCWLCLFgACHChVkCBaVPCTkKAgAIiOBYAQAJCYEcFBGBpXwEKpASAFBAxgSAQkAQKhG8KgwEEiBPBi

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:ffc7c3f3ffffffff
Perceptual Hash:e4309b9bcc6c3333
Difference Hash:001c0c0600000000
Wavelet Hash:f0d0c0f0f0f0f0f0
Color Hash:#87a8c5

Other Hashes

Crop Resistant:001c0c0600000000

Scan History

Scan history not available

Unable to load historical scan data