Security Scan Report: afraid-azure-b3k71hsk2l-knmops8fdl.edgeone.app

Submitted: Jan 9, 2026, 5:00:49 PMCompleted: Jan 9, 2026, 5:02:08 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is afraid-azure-b3k71hsk2l-knmops8fdl.edgeone.app and was registered NaN years ago.

Submitted URL: https://afraid-azure-b3k71hsk2l-knmops8fdl.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: 92%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Established domain age
Minimal risk category
No suspicious forms or data collection
Low ranking does not indicate brand impersonation
Domain age information unavailable

Details

Page Title

Exam Tool (Detail Result)

Scan Type

public

Language

🇺🇸

English

(35% confidence)

Category

adult content

(34%)

Domain Information

The domain 'afraid-azure-b3k71hsk2l-knmops8fdl.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'afraid-azure-b3k71hsk2l-knmops8fdl'. The core label 'edgeone' covers 7 characters with 4 vowels and three consonants. Segmentation suggests two 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://afraid-azure-b3k71hsk2l-knmops8fdl.edgeone.app/

Page Load Overview

1.61s
Total Load Time
2
HTTP Requests
1
Domains
9 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:35%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:35%
Script Type:Latin
HTML Lang Attribute:gu
Text Length:383 chars
Detector Agreement:67%
Language mismatch: Declared as gu but detected as en

Website Classification

Primary Category

adult content34% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
34%
healthcare medical
29%
education learning
28%
documentation technical
28%

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

T1CAA2986372A61132E963E4E939A3C75E7B30E207E50546687DBC54E0CF8DE9058F7A8C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:TvvaylvVRxzCYUn3mGaJJ1wftDGJIRfFcUm:TvlVRJClZtGJIRK

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:21493:iXAIJDORBXIaxsAiwMXhhAZ44jJBljgAwc2bnCgGoJO6EEECZkBBQJBgAA7JAQwAwABAhzVGGpLhkkBmKgtkNAyJAYCMwwMN

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:183c003c3c000000
Perceptual Hash:cbcb64339b993036
Difference Hash:7070547168002000
Wavelet Hash:3c3c3c3c3c000000
Color Hash:#87c5a9

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data