Security Scan Report: essential-tomato-wtv9iqktwi-zxuqsd6g4u.edgeone.app

Submitted: Apr 6, 2026, 10:46:42 AMCompleted: Apr 6, 2026, 10:48:08 AMpubliccompleted
Loading additional data...

Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 3 HTTP transactions. The main domain is essential-tomato-wtv9iqktwi-zxuqsd6g4u.edgeone.app and was registered NaN years ago.

Submitted URL: https://essential-tomato-wtv9iqktwi-zxuqsd6g4u.edgeone.app/

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

AI Security Verdict

Confirmed Scam

Confidence: 92%

9
Risk Score

Confirmed credential phishing site; avoid and report.

Risk Factors
Credential harvesting form (password only)
New/very new subdomain on a free hosting platform
Brand impersonation via login page title
Low domain reputation (unranked in Cisco Umbrella)
Domain age information unavailable

Details

Page Title

Login | Rinox Premium

Scan Type

public

Language

🇭🇷

HR

(17% confidence)

Category

social media network

(74%)

Domain Information

Within the application-focused generic top-level domain (.app), 'essential-tomato-wtv9iqktwi-zxuqsd6g4u.edgeone.app' is registered with subdomain 'essential-tomato-wtv9iqktwi-zxuqsd6g4u'. The core label 'edgeone' covers 7 characters split between four vowels and 3 consonants. Segmentation suggests 2 words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://essential-tomato-wtv9iqktwi-zxuqsd6g4u.edgeone.app/

Page Load Overview

5.62s
Total Load Time
3
HTTP Requests
2
Domains
3 KB
Total Size

Language Analysis

Primary Language

🇭🇷HR
Code: hr
Confidence:17%
Script:Unknown
Direction:ltr

Detection Details

Language Code:hr
Detection Confidence:17%
Script Type:Unknown
HTML Lang Attribute:uz
Text Length:100 chars
Detector Agreement:50%
Language mismatch: Declared as uz but detected as hr

Website Classification

Primary Category

social media network74% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
74%
technology software
60%
healthcare medical
58%
finance banking
56%
news media journalism
50%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
1185.15.59.240United States
AS14907Wikimedia Foundation Inc.
32--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CA91119799E305427513D0E06FF38B1A7BA9D4138146CE6D3F8D3298CF4A2CA95E278C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:Xn7QW9hOGh7lUIU7pO+FQ+Ob6uYcE1a2qf61tT636yVn6kJQGDdQqgCMs:LbFOzzFQl6Jc2qSjS6kJoAMs

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4208:AAAAQAAoAAAREEBABTAEIQAAUgBAggCAAQAAxABCxAQAQSEADIIhQkAEoAQIgiEYSAwgCkACKAAAAJBIUAEAQCDAgABwCEIB

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:f0f0f8f8d8d8c080
Perceptual Hash:ddf633cc8c2299c8
Difference Hash:0000303032300800
Wavelet Hash:f0f0f8f8f8f8c0c0
Color Hash:#5374ac

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data