Security Scan Report: testabcdefh-egigrkkf9g.edgeone.app

Submitted: Apr 26, 2026, 3:57:37 AMCompleted: Apr 26, 2026, 3:58:45 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is testabcdefh-egigrkkf9g.edgeone.app and was registered NaN years ago.

Submitted URL: https://testabcdefh-egigrkkf9g.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, likely a legitimate technical page hosted on edgeone.app.

Risk Factors
Unknown subdomain age (could be brand‑new)
Low domain ranking in reputation list
Safety Factors
No forms, payment or credential collection
No JavaScript malware patterns detected
No network IDS alerts
Content classified as technical documentation
JS obfuscation score low (standard minification)
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

documentation technical

(87%)

Domain Information

You're looking at domain 'testabcdefh-egigrkkf9g.edgeone.app' on the application-focused generic top-level domain (.app) with subdomain 'testabcdefh-egigrkkf9g'. Its registrable label 'edgeone' stretches across 7 characters holding four vowels versus three consonants. Segmentation suggests 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://testabcdefh-egigrkkf9g.edgeone.app/

Page Load Overview

0.46s
Total Load Time
2
HTTP Requests
1
Domains
7 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:140 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

documentation technical87% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
87%
news media journalism
52%
government public service
48%
technology software
48%
cryptocurrency blockchain
45%

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

T19E42B7C5EFE61ACCA41BC0685FFF672A3629E053D84DC54DB59E0E608F45184B0BB2B8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBpXhhhrh5hnh1RaXQl:KrzhNK/lMHmGgdkqEDNb5d

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:12282:IU2C1PAkBRMQNDQEAQGIwIgCAEYMSYUgsEgPAAJiiCJQ0IMYUII0yxixHRVKQYaAAzyWXQVmQELaBClhfUImCCpAOCYGAIUR

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:dcfcfcfcbc800000
Perceptual Hash:da9a6c6598986567
Difference Hash:3030707060000000
Wavelet Hash:dcfcfcfcfcc08000
Color Hash:#5940bf

Other Hashes

Crop Resistant:3030707060000000

Scan History

Scan history not available

Unable to load historical scan data