Summary
This website contacted 86 IPs in 4 countries across 18 domains to perform 147 HTTP transactions. The main domain is riotdivision.tech and was registered NaN years ago.
Submitted URL: https://riotdivision.tech/?srsltid=AfmBOoq4i13-jNdNAxSqVxiAjHvVWqZMsRPBDHejOLQTs9HAmZvFDuwf
AI Security Verdict
Safe Website
Confidence: 95%
Site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
RIOT DIVISION
Scan Type
public
Language
English
Category
entertainment media
(74%)Domain Information
Domain 'riotdivision.tech' uses the .tech top-level domain while skipping any subdomain. The core label 'riotdivision' covers 12 characters split between 6 vowels and six consonants. Segmentation suggests two words: riot, division. Median word length comes out to six characters. 'riot' is most common in Chinese (Pinyin) usage. You may catch it in English and Danish as well. Taken together, it feels Chinese (Pinyin).
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 |
|---|---|---|---|
| 97 | 23.227.38.65 | Ottawa, Ontario, Canada | AS13335CLOUDFLARENET |
| 62 | 3.167.227.63 | United States | AS16509AMAZON-02 |
| 6 | 157.240.0.35 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 4 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 3 | 172.67.68.178 | United States | AS13335CLOUDFLARENET |
| 3 | 23.227.39.200 | Ottawa, Ontario, Canada | AS13335CLOUDFLARENET |
| 2 | 142.250.186.100 | United States | AS15169GOOGLE |
| 2 | 142.250.184.227 | United States | AS15169GOOGLE |
| 2 | 34.73.251.59 | North Charleston, South Carolina, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 2 | 142.250.185.72 | United States | AS15169GOOGLE |
| 147 | 86 | - | - |
Detected Technologies5
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects 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
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