Security Scan Report: dirty-white-ngagvp01jq-iu7pssxmnm.edgeone.app

Submitted: Apr 18, 2026, 8:03:05 PMCompleted: Apr 18, 2026, 8:04:17 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 dirty-white-ngagvp01jq-iu7pssxmnm.edgeone.app and was registered NaN years ago.

Submitted URL: https://dirty-white-ngagvp01jq-iu7pssxmnm.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: 70%

2
Risk Score

Low risk site; no malicious activity detected, but subdomain age is unknown.

Risk Factors
Subdomain on hosting platform with unknown age
Safety Factors
No forms or payment fields
No malicious indicators detected
Low ranking does not imply malicious activity without brand impersonation
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(72% confidence)

Category

documentation technical

(52%)

Domain Information

The domain 'dirty-white-ngagvp01jq-iu7pssxmnm.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'dirty-white-ngagvp01jq-iu7pssxmnm'. Count 7 characters in 'edgeone' with 4 vowels and three consonants. Segmentation suggests 2 words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://dirty-white-ngagvp01jq-iu7pssxmnm.edgeone.app/

Page Load Overview

0.39s
Total Load Time
2
HTTP Requests
1
Domains
3 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:72%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:72%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:128 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

documentation technical52% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
52%
news media journalism
40%
healthcare medical
37%
technology software
36%
adult content
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

T13502C5CAFBA305C9A82BC0682FFB5724222DE017C409CD5DB99E5F548F4518875EA2B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBMd4d6h1RaXQl:KrzhNK/lMHmGgdkq7d4d6d

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8861:IA2C1nACBQcYtXUUAU2ApAhiSCCkDQQgMFgLQEIyqDKQgIEIAMZ0wyKQiYciINaAgTicVSCmaEBaBAlBgAIOGCrLOCaXAEER

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:dcfcfcc0e0e0c0c0
Perceptual Hash:de9a9898686961e7
Difference Hash:3030400000000000
Wavelet Hash:dcfcfcf0f0e0c0c0
Color Hash:#87c59d

Other Hashes

Crop Resistant:3030400000000000

Scan History

Scan history not available

Unable to load historical scan data