Security Scan Report: rohith-tkcx3xneri.edgeone.app

Submitted: Feb 4, 2026, 9:47:33 PMCompleted: Feb 4, 2026, 9:49:03 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 1 HTTP transaction. The main domain is rohith-tkcx3xneri.edgeone.app and was registered NaN years ago.

Submitted URL: https://rohith-tkcx3xneri.edgeone.app/

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears to be a harmless placeholder.

Safety Factors
No malicious Indicators of Compromise matches
No forms or credential collection
Well‑established domain (> 365 days)
Page returns 404 – no active content
Hosted on standard EdgeOne Pages infrastructure
Domain age information unavailable

Details

Page Title

EdgeOne Pages

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(28%)

Domain Information

The domain name 'rohith-tkcx3xneri.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'rohith-tkcx3xneri'. The registrable portion 'edgeone' spans 7 characters with 4 vowels and three consonants. Splitting it apart reveals 2 words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://rohith-tkcx3xneri.edgeone.app/

Page Load Overview

7.28s
Total Load Time
3
HTTP Requests
2
Domains
15 KB
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:183 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical28% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
143.152.26.238Singapore
32--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12B81AB5765F311126853E4AC2F755B0A76E4C403C28ACD2A3EEC639CCF8AE969D9334C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:TkPv0c6StLUtapqFo9itOgO5R5I+hck4xhB1F8tSZJXXdPFe:4Pz6StLUtapqFo9itOgOf5Iwck4xhB1i

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4033:BCUCxBEAAAgkBIIQEAgkSIFEASiCICMAAEAEIAEADQACQEAACIAGEEKQAGEQJghMRiAAAYACgQhCBogjAEAQAQAEKSAACBAg

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:ffffe7e7e7e7ffff
Perceptual Hash:a699cc6633336699
Difference Hash:000008080c0c0000
Wavelet Hash:fcfcc0c0c0e4f0f0
Color Hash:#4240bf

Other Hashes

Crop Resistant:000008080c0c0000

Scan History

Scan history not available

Unable to load historical scan data