Security Scan Report: gggghhh-on4zgebyqi.edgeone.app

Submitted: Apr 30, 2026, 9:23:14 PMCompleted: Apr 30, 2026, 9:24:39 PMpubliccompleted
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Summary

This website contacted 4 IPs in 3 countries across 5 domains to perform 1 HTTP transaction. The main domain is gggghhh-on4zgebyqi.edgeone.app and was registered NaN years ago.

Submitted URL: https://gggghhh-on4zgebyqi.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

Low risk site with no malicious activity detected; likely legitimate but a newly created subdomain.

Risk Factors
Low Cisco Umbrella ranking (#455,732) for the subdomain
Subdomain creation date unknown, increasing suspicion
Hosted on a generic hosting platform (.edgeone.app) without reputation
Safety Factors
Absence of login, payment, or credential‑harvesting forms
No network IDS alerts or malicious traffic observed
No external malicious domains referenced
Domain age information unavailable

Details

Page Title

Awais Cyber Lab | Gateway

Scan Type

public

Language

🇺🇸

English

(48% confidence)

Category

technology software

(78%)

Domain Information

The domain name 'gggghhh-on4zgebyqi.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'gggghhh-on4zgebyqi'. Count 7 characters in 'edgeone' split between four vowels and 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://gggghhh-on4zgebyqi.edgeone.app/

Page Load Overview

0.72s
Total Load Time
7
HTTP Requests
5
Domains
1.4 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:48%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:48%
Script Type:Latin
HTML Lang Attribute:ur
Text Length:213 chars
Detector Agreement:50%
Language mismatch: Declared as ur but detected as en

Website Classification

Primary Category

technology software78% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
78%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4142.251.13.95United States
AS15169Google LLC
1142.251.110.94United States
AS15169Google LLC
143.152.26.58Singapore
145.43.142.2United Kingdom
AS16276OVH SAS
74--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12DC1962362F101266553E2903F92974D35B8D103D70A8A383DED16A8CFCDEF59DA7A98

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:3qBIGdO1SOhttQsftnJib80T1EN6Eiqp+dATMNqqWJixZFe+4ogRJ1Xww1fFRJCS:3qBIGdOASDQsFnJu8M1EN6E3p+dATdq2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:5991:ZIABgoywYC0AwAAgAAAEAcmBgQShBAIRAFpJQJgAYAwGAA5IDAtAMKAUIABBTBDgQAAKGTACAKgEQARZccBaCAABQGoBCCOC

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:8000001818180000
Perceptual Hash:d8787676d8d86262
Difference Hash:1080103230300810
Wavelet Hash:80ff3c3c38383038
Color Hash:#bf6ce0

Other Hashes

Crop Resistant:1080103230300810

Scan History

Scan history not available

Unable to load historical scan data