Security Scan Report: zygotic-coffee-tkidkqqmvr-em7zg9ucb7.edgeone.app

Submitted: Jan 15, 2026, 10:42:53 AMCompleted: Jan 15, 2026, 10:44:19 AMpubliccompleted
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Summary

This website contacted 4 IPs in 2 countries across 5 domains to perform 10 HTTP transactions. The main domain is zygotic-coffee-tkidkqqmvr-em7zg9ucb7.edgeone.app and was registered NaN years ago.

Submitted URL: https://zygotic-coffee-tkidkqqmvr-em7zg9ucb7.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 legitimate.

Safety Factors
Well‑established domain (>2 years old)
No credential or payment collection forms
No external links or suspicious resources
No malicious Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

ደቡብ ላፍቶ ክልል - Full Image View

Scan Type

public

Language

🇺🇸

English

(25% confidence)

Category

government public service

(47%)

Domain Information

The domain name 'zygotic-coffee-tkidkqqmvr-em7zg9ucb7.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'zygotic-coffee-tkidkqqmvr-em7zg9ucb7'. Its registrable label 'edgeone' stretches across 7 characters with 4 vowels and 3 consonants. It segments into 2 words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://zygotic-coffee-tkidkqqmvr-em7zg9ucb7.edgeone.app/

Page Load Overview

1.09s
Total Load Time
9
HTTP Requests
5
Domains
264 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:25%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:25%
Script Type:Latin
HTML Lang Attribute:am
Text Length:136 chars
Detector Agreement:33%
Language mismatch: Declared as am but detected as en

Website Classification

Primary Category

government public service47% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
47%
real estate property
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3142.251.141.74United States
243.152.26.58Singapore
2104.16.175.226United States
2142.250.185.195United StatesUnknown
94--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14562966721F31532299391FA76E3C74A39209103DD468A14BFAC65D0DF8EED658BB38C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:LxXz3HYE2eZT7Xq6Un5HY+WVJvz8184TJ9sGyCZOvnGbRERHbtiKiCtk+5gvItyz:LJ7ny8MJ9sGo5iKiqkLvLkRgl

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15616:Vo8dYAEAAygNEAiwgsLDjACIhJimARkC0cECg9EBJTQgSAaKJkSCYAGEAipUARFVAAo1ciK3BaweO8DJIBZQGgAAQQSFjgAB

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:1018181818180000
Perceptual Hash:cccc3366ce2366cc
Difference Hash:2032323232300800
Wavelet Hash:18181c1c38383030
Color Hash:#79cfd2

Other Hashes

Crop Resistant:2032323232300800

Scan History

Scan history not available

Unable to load historical scan data