Security Scan Report: noisy-rose-znmuvqweqd-kws01zwf1j.edgeone.app

Submitted: Feb 11, 2026, 12:52:26 PMCompleted: Feb 11, 2026, 12:53:59 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 noisy-rose-znmuvqweqd-kws01zwf1j.edgeone.app and was registered NaN years ago.

Submitted URL: https://noisy-rose-znmuvqweqd-kws01zwf1j.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 (>1000 days)
No malicious Indicators of Compromise matches
No forms or credential collection
No JavaScript malware detected
Domain age information unavailable

Details

Page Title

noisy-rose-znmuvqweqd-kws01zwf1j.edgeone.app

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(67%)

Domain Information

The domain name 'noisy-rose-znmuvqweqd-kws01zwf1j.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'noisy-rose-znmuvqweqd-kws01zwf1j'. The second-level label 'edgeone' is 7 characters long holding four vowels versus 3 consonants. It segments into 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://noisy-rose-znmuvqweqd-kws01zwf1j.edgeone.app/

Page Load Overview

8.11s
Total Load Time
1
HTTP Requests
1
Domains
N/A
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:828 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software67% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
67%
documentation technical
40%
adult content
37%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
143.152.26.58Singapore
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T127048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:3fQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszs2bMy8Old6:IhoC9JSqzzbs6o3Sj3gcrs42eAQ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184611:AACYMgQLgCJQFwnYdBKThoASVAUAoAJEBFZwBONBh3AlQmJewMwIRiFETpAuAKRj1EIMAONVMAJAMEUAEgAkkD4SMMugBggJ

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:ffdfc3c700000000
Color Hash:#4240bf

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

Unable to load historical scan data