Security Scan Report: defeated-azure-5i3vulq7th-ho9eu97cws.edgeone.app

Submitted: May 8, 2026, 2:03:56 PMCompleted: May 8, 2026, 2:05:41 PMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 4 HTTP transactions. The main domain is defeated-azure-5i3vulq7th-ho9eu97cws.edgeone.app and was registered NaN years ago.

Submitted URL: https://defeated-azure-5i3vulq7th-ho9eu97cws.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: 72%

2
Risk Score

Site shows no malicious activity; appears benign despite low domain ranking.

Risk Factors
Low Cisco Umbrella ranking (455,732) for the subdomain
Safety Factors
No forms or credential fields present
No malicious scripts or obfuscation detected
No external links or cross‑origin credential exfiltration
Domain age information unavailable

Details

Page Title

star

Scan Type

public

Language

🏳️

UNKNOWN

(0% confidence)

Category

unknown

(0%)

Domain Information

Within the application-focused generic top-level domain (.app), 'defeated-azure-5i3vulq7th-ho9eu97cws.edgeone.app' is registered; it also runs on subdomain 'defeated-azure-5i3vulq7th-ho9eu97cws'. The registrable portion 'edgeone' spans 7 characters containing 4 vowels alongside three consonants. Word splitting yields 2 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://defeated-azure-5i3vulq7th-ho9eu97cws.edgeone.app/

Page Load Overview

1.87s
Total Load Time
3
HTTP Requests
1
Domains
9.5 MB
Total Size

Language Analysis

Primary Language

🏳️UNKNOWN
Code: unknown
Confidence:0%

Detection Details

Language Code:unknown
Detection Confidence:0%
0
Detector Agreement:0%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

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

T170662371A58638711B6A8577629F3E083F35AEA7840108ECF11D58EC19EBB82116FF7D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

49152:vLZf40ZPnYRCdvmqvODZZX8Vp1YU7VbpM+rdNV2kvV/VvJCD5pUzYibp49yiBZVC:eerL

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:6945923:B0mUIAEBggGCIAgIQSgJkJAAdEyAECUIQzbYHGKhBGGcNgMlwAAYQIDAYiUQLmjkKKVQSHHjCImSLEAgQgTLAEMQIIACEyGg

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:fefefefefefefefe
Perceptual Hash:d554aa56aa56aa56
Difference Hash:0000000000000000
Wavelet Hash:00fefefe02020202
Color Hash:#406cbf

Other Hashes

Crop Resistant:0000000000000000

Scan History

Scan history not available

Unable to load historical scan data