Security Scan Report: redundant-azure-icydpjhfcs-mozgdyh2e1.edgeone.app

Submitted: Feb 18, 2026, 12:13:30 AMCompleted: Feb 18, 2026, 12:14:49 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 redundant-azure-icydpjhfcs-mozgdyh2e1.edgeone.app and was registered NaN years ago.

Submitted URL: https://redundant-azure-icydpjhfcs-mozgdyh2e1.edgeone.app/

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Moderate Risk

Confidence: 85%

5
Risk Score

Site likely phishing credential harvest; do not submit any credentials.

Risk Factors
Hidden password field (credential harvesting)
Password field without username (credential harvesting)
Low ranking domain (rank 455,732)
Safety Factors
Domain age 1014 days (well established)
No malicious Indicators of Compromise matches
No JavaScript malware detected
No external domains linked
Domain age information unavailable

Details

Page Title

redundant-azure-icydpjhfcs-mozgdyh2e1.edgeone.app

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(93%)

Domain Information

Within the application-focused generic top-level domain (.app), 'redundant-azure-icydpjhfcs-mozgdyh2e1.edgeone.app' is registered, featuring subdomain 'redundant-azure-icydpjhfcs-mozgdyh2e1'. The registrable portion 'edgeone' spans 7 characters split between four vowels and three consonants. It segments into 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://redundant-azure-icydpjhfcs-mozgdyh2e1.edgeone.app/

Page Load Overview

4.39s
Total Load Time
8
HTTP Requests
3
Domains
254 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:1,679 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service93% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
93%
education learning
89%
technology software
89%
documentation technical
86%
adult content
83%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
843.152.26.58Singapore
81--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EE048F77329A063986558498F05B43099F21B143F506C8BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:TfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszM2bMy8OldK:shoC9JSqzzbs6o3Sj3gcrso2eAg

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184636:EESAqdBUADBQ1EdICKAmIAAHDAqfYCaYDwYehorARAAUwzgCzYFY0CJWDJ+EBMGCGhSwQAAAAiHBAFdh6BBQoKoPgDFAREBA

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:00180c1c00000000
Wavelet Hash:ffdfc3c700000000
Color Hash:#79d287

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

Unable to load historical scan data