Security Scan Report: everyday-yellow-yzhyn6c9tw-roecbxbo30.edgeone.app

Submitted: Jan 21, 2026, 7:56:40 AMCompleted: Jan 21, 2026, 7:57:58 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is everyday-yellow-yzhyn6c9tw-roecbxbo30.edgeone.app and was registered NaN years ago.

Submitted URL: https://everyday-yellow-yzhyn6c9tw-roecbxbo30.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 suspicious activity detected; site appears legitimate.

Safety Factors
Well‑established domain (> 2 years old)
No credential or payment collection forms
No malicious Indicators of Compromise
Standard hosting without suspicious services
No external links or redirects
Domain age information unavailable

Details

Page Title

İyi Ki Doğdun Özlem 🎂

Scan Type

public

Language

🇹🇷

Turkish

(80% confidence)

Category

healthcare medical

(62%)

Domain Information

Within the application-focused generic top-level domain (.app), 'everyday-yellow-yzhyn6c9tw-roecbxbo30.edgeone.app' is registered, featuring subdomain 'everyday-yellow-yzhyn6c9tw-roecbxbo30'. Its registrable label 'edgeone' stretches across 7 characters with four vowels and 3 consonants. Segmentation suggests 2 words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://everyday-yellow-yzhyn6c9tw-roecbxbo30.edgeone.app/

Page Load Overview

0.51s
Total Load Time
2
HTTP Requests
1
Domains
7 KB
Total Size

Language Analysis

Primary Language

🇹🇷Turkish
Code: tr
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:tr
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:tr
Text Length:61 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical62% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
62%
news media journalism
50%
entertainment media
45%
education learning
38%
government public service
33%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16862FBAB58A71046790BF2905FE2070D1338D10BE51BCD6CB7DD72D98F41ADC89BBA86

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:8YSmnXD9Pyc8CFkfFBuLPCMdPXuP0BP69DPvmPHLlcULExydRKImPNbP97qU8Mrx:OmnztjFMFSq2Ip/sFOSE

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:14596:ABzlRCCbomAFUIFhyAgpApRTeQFSECi+wSALYOGLAUsYkATDQQRMgimJGjVGjMECyWYkWADKYAgRw4kCMkDLSgAS4xIRcgAp

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:0018181818180000
Perceptual Hash:999c663399cccc99
Difference Hash:ecf0b2b2b2f0c0c0
Wavelet Hash:0f1e1e3c3c7878f0
Color Hash:#693a78

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data