Security Scan Report: evil-azure-7vjy8wprl1-nik8evosdr.edgeone.app

Submitted: Feb 14, 2026, 3:18:57 AMCompleted: Feb 14, 2026, 3:20:24 AMpubliccompleted
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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 evil-azure-7vjy8wprl1-nik8evosdr.edgeone.app and was registered NaN years ago.

Submitted URL: https://evil-azure-7vjy8wprl1-nik8evosdr.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: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Well‑established domain (>2 years old)
Minimal risk category (well established)
No malicious JavaScript or YARA pattern matches
No credential or payment collection mechanisms
Low ranking does not imply malicious activity in absence of other signals
Domain age information unavailable

Details

Page Title

evil-azure-7vjy8wprl1-nik8evosdr.edgeone.app

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

gambling betting

(39%)

Domain Information

The domain name 'evil-azure-7vjy8wprl1-nik8evosdr.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'evil-azure-7vjy8wprl1-nik8evosdr'. The registrable portion 'edgeone' spans 7 characters split between 4 vowels and three consonants. It segments into 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://evil-azure-7vjy8wprl1-nik8evosdr.edgeone.app/

Page Load Overview

2.78s
Total Load Time
3
HTTP Requests
2
Domains
14 KB
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:1,253 chars
Detector Agreement:100%

Website Classification

Primary Category

gambling betting39% confidence
Type: static
Method: ml+structural

All Detected Categories

gambling betting
39%
adult content
36%
news media journalism
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
343.152.26.58Singapore
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AF048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:wfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIsza2bMy8Oldm:7hoC9JSqzzbs6o3Sj3gcrs22eAM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184611:cCADAAJTSUCYNYIJAwASA4Gi0BIUEAgIBiBIARHgAihAv6wmICgSwCoIoxMlQJgs2ibGJokFsOTARhQEgtAINGkMQQMgJAYC

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:ffcfc3c7ffffffff
Perceptual Hash:b331cccccc333333
Difference Hash:00181c1c00000000
Wavelet Hash:3f1f03070f0f0f0f
Color Hash:#d22da9

Other Hashes

Crop Resistant:00181c1c00000000

Scan History

Scan history not available

Unable to load historical scan data