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Security Scan Report: tired-aquamarine-xryycwf1mv-jlzhlgwxzk.edgeone.app

Submitted: Feb 21, 2026, 2:58:21 PMCompleted: Feb 21, 2026, 2:59:36 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is tired-aquamarine-xryycwf1mv-jlzhlgwxzk.edgeone.app and was registered NaN years ago.

Submitted URL: https://tired-aquamarine-xryycwf1mv-jlzhlgwxzk.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: 92%

0
Risk Score

No security concerns detected; site appears benign.

Safety Factors
Hosted on reputable platform (edgeone.app)
No forms or credential collection
No malicious Indicators of Compromise
Low JavaScript obfuscation
No network IDS alerts
Domain age information unavailable

Details

Page Title

tired-aquamarine-xryycwf1mv-jlzhlgwxzk.edgeone.app

Scan Type

public

Language

🇫🇷

French

(50% confidence)

Category

social media network

(46%)

Domain Information

You're looking at domain 'tired-aquamarine-xryycwf1mv-jlzhlgwxzk.edgeone.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'tired-aquamarine-xryycwf1mv-jlzhlgwxzk'. Its registrable label 'edgeone' stretches across 7 characters containing 4 vowels alongside 3 consonants. Splitting it apart reveals two 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://tired-aquamarine-xryycwf1mv-jlzhlgwxzk.edgeone.app/

Page Load Overview

5.83s
Total Load Time
2
HTTP Requests
1
Domains
7 KB
Total Size

Language Analysis

Primary Language

🇫🇷French
Code: fr
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:fr
Detection Confidence:50%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:68 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as fr

Website Classification

Primary Category

social media network46% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
46%
forum community discussion
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
AS139341ACE
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F4048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:dfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIsz82bMy8Oldi:KhoC9JSqzzbs6o3Sj3gcrso2eAo

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184641:FHhCOKQhFhA5OhAkLEtRRgcBCR6DGQZSgREMEUpQgZAgCwNKtAPA4InQZAQJEgKmCVARJgEmgCDQ5GQIRywicrwoCEiVgIgM

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:ffcfc3c7ffffffff
Perceptual Hash:b331cccccc333333
Difference Hash:00180c1c00000000
Wavelet Hash:f0d0c0c4f0f0f0f0
Color Hash:#d279a4

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

Unable to load historical scan data