Summary
API
Submitted URL: https://www.263chat.com/zimbabwe-lose-india-womens-tourney-sa/
AI Security Verdict
Safe Website
Confidence: 92%
Legitimate 13-year-old Zimbabwean news site serving a cricket article; self-branded, no impersonation, no credential/payment forms, and no threat-intelligence or malware hits.
Safety Factors (5)
Details
Page Title
Zimbabwe Lose To India At Women’s Tourney In SA | 263Chat
Scan Type
public
Domain Name Analysis
You're looking at domain 'www.263chat.com' on the commercial generic top-level domain (.com), featuring subdomain 'www'. The second-level label '263chat' is 7 characters long with one vowel and three consonants, notching 3 digits. Splitting it apart reveals 2 words: 263, chat. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.
Screenshot

Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 23 | 104.244.127.208 | United States | AS22611InMotion Hosting, Inc. |
| 4 | 142.251.127.95Google · CDN | United States | AS15169Google LLC |
| 4 | 192.0.77.37 | San Francisco, California, United States | AS2635Automattic, Inc |
| 4 | 142.251.110.97Google · CDN | United States | AS15169Google LLC |
| 4 | 192.178.183.155Google · CDN | United States | AS15169Google LLC |
| 4 | 192.0.77.2 | San Francisco, California, United States | AS2635Automattic, Inc |
| 4 | 157.240.0.6Facebook · CDN | Frankfurt am Main, Hesse, Germany | AS32934Facebook, Inc. |
| 4 | 192.0.76.3 | San Francisco, California, United States | AS2635Automattic, Inc |
| 4 | 104.16.160.145Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 4 | 142.251.14.94Google · CDN | United States | AS15169Google LLC |
| 139 | 30 | - | - |
Detected Technologies25
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Other Hashes
Scan History
Scan history not available
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