Security Scan Report: hurt-azure-q7ga4xthxb-x5k5wb5jcj.edgeone.app

Submitted: Mar 14, 2026, 1:53:39 AMCompleted: Mar 14, 2026, 1:55:17 AMpubliccompleted
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Summary

This website contacted 5 IPs in 1 country across 5 domains to perform 1 HTTP transaction. The main domain is hurt-azure-q7ga4xthxb-x5k5wb5jcj.edgeone.app and was registered NaN years ago.

Submitted URL: https://hurt-azure-q7ga4xthxb-x5k5wb5jcj.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%

1
Risk Score

Site is unreachable and shows no malicious signs; low risk but not functional.

Safety Factors
No credential or payment collection forms
No malicious Indicators of Compromise
Hosted on a reputable hosting platform
Page is unreachable – no active content to exploit
Domain age information unavailable

Details

Page Title

فاستر فولو - اسرع متجر بيع و زيادة متابعين

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(69%)

Domain Information

Within the application-focused generic top-level domain (.app), 'hurt-azure-q7ga4xthxb-x5k5wb5jcj.edgeone.app' is registered and includes subdomain 'hurt-azure-q7ga4xthxb-x5k5wb5jcj'. The core label 'edgeone' covers 7 characters holding 4 vowels versus 3 consonants. Tokenizing the label suggests two words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://hurt-azure-q7ga4xthxb-x5k5wb5jcj.edgeone.app/

Page Load Overview

8.16s
Total Load Time
1
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:828 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software69% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
69%
documentation technical
41%
adult content
34%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1151.101.65.229Singapore
0142.250.186.42Singapore
0104.26.3.143Singapore
0142.250.201.67Singapore
043.152.26.58Singapore
15--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BC23546550F220720957E0A5E7E2575BBB70EE03C90EEE6436AC4B809FCBD91CE5762C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:Nr09NF4FyNzj532OUNhL7hNz4MomoklUuxIICxZi4c:q9NF4FyNz12OUNhnFo4IMv

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:47998:kcIDMAEpRQEeoUgiiCgRSkwaggzjgRDA0Kwgx3SFaDDghJmIYQCTAFCRcIRhdgghJwRIJjOxIyKBBSDAUooOPEIREARRYoSQ

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:ffff013d00030000
Perceptual Hash:aac1f9b84b0f227a
Difference Hash:73b6657505874549
Wavelet Hash:ffff353f01070101
Color Hash:#1f9352

Scan History

Scan history not available

Unable to load historical scan data