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Security Scan Report: screeching-rose-puuz1gdupm-9zpp1laq6w.edgeone.app

Submitted: Apr 24, 2026, 3:59:31 AMCompleted: Apr 24, 2026, 4:00:39 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 4 HTTP transactions. The main domain is screeching-rose-puuz1gdupm-9zpp1laq6w.edgeone.app and was registered NaN years ago.

Submitted URL: https://screeching-rose-puuz1gdupm-9zpp1laq6w.edgeone.app/

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

The site shows low risk with no malicious activity; caution due to unknown subdomain age but generally safe.

Risk Factors
Subdomain on hosting platform with unknown age
Low domain ranking in Cisco Umbrella
Safety Factors
No forms or credential fields present
No malicious Indicators of Compromise
No JavaScript malware detections
Content classified as technical documentation
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

documentation technical

(73%)

Domain Information

Domain 'screeching-rose-puuz1gdupm-9zpp1laq6w.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'screeching-rose-puuz1gdupm-9zpp1laq6w'. Its registrable label 'edgeone' stretches across 7 characters holding 4 vowels versus 3 consonants. Segmentation suggests 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://screeching-rose-puuz1gdupm-9zpp1laq6w.edgeone.app/

Page Load Overview

0.75s
Total Load Time
2
HTTP Requests
1
Domains
3 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:149 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

documentation technical73% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
73%
technology software
52%

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

T18862A5C5FFE61ECCA41BC4585BBE673A2A39A003E44D855CB5AE0E709F44588B4BB1B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBzXhihahghohUhZghaThah1RaXQl:KrzhNK/lMHmGgdkq0kMaKm3gcTMd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15871:YjSCEHUEDZdwOAQGBRGm0hgGAAEGDQRgNggNAgJqjDM8wIEYIqI2gxAB6UUAAI6QASz2UyUmQMX4BC1IDBIu4TYAPCYiRKWx

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:9c9c3c3c3c3c1c00
Perceptual Hash:da9c61986c91c767
Difference Hash:3030607060707000
Wavelet Hash:dcfcfc3c3c3c1c00
Color Hash:#cc79d2

Other Hashes

Crop Resistant:3030607060707000

Scan History

Scan history not available

Unable to load historical scan data