Security Scan Report: yawning-brown-4crvsrkerq-n14780g58g.edgeone.app

Submitted: Feb 8, 2026, 7:59:47 PMCompleted: Feb 8, 2026, 8:01:02 PMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is yawning-brown-4crvsrkerq-n14780g58g.edgeone.app and was registered NaN years ago.

Submitted URL: https://yawning-brown-4crvsrkerq-n14780g58g.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 legitimate.

Safety Factors
Domain age > 1 year (well established)
Standard hosting with no suspicious redirects
No forms or sensitive data collection
No malicious JavaScript patterns detected
No brand impersonation
Domain age information unavailable

Details

Page Title

yawning-brown-4crvsrkerq-n14780g58g.edgeone.app

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(28%)

Domain Information

Within the application-focused generic top-level domain (.app), 'yawning-brown-4crvsrkerq-n14780g58g.edgeone.app' is registered and includes subdomain 'yawning-brown-4crvsrkerq-n14780g58g'. The registrable portion 'edgeone' spans 7 characters split between 4 vowels and three consonants. Word splitting yields 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://yawning-brown-4crvsrkerq-n14780g58g.edgeone.app/

Page Load Overview

5.65s
Total Load Time
11
HTTP Requests
5
Domains
278 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:222 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service28% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1143.152.26.58Singapore
111--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EA048E77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:jfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszU2bMy8OldK:8hoC9JSqzzbs6o3Sj3gcrsA2eAQ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184626:s4QPqqC0GmWEOQEYGOeE5CAIwkOBkpwRCQsAAHW01KEYBmAGxgQBBwF5KgALIFPwkhCnAgL4oGYJHxTAISDIGHsKMDHGCMtB

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:00181c1c00000000
Wavelet Hash:fcdcc0c4f0f0f0f0
Color Hash:#783a5b

Other Hashes

Crop Resistant:00181c1c00000000

Scan History

Scan history not available

Unable to load historical scan data