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Security Scan Report: required-azure-yv1wlkxhy3-bh5zu194wo.edgeone.app

Submitted: Mar 7, 2026, 10:41:35 AMCompleted: Mar 7, 2026, 10:43:09 AMpubliccompleted
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Summary

This website contacted 4 IPs in 1 country across 4 domains to perform 9 HTTP transactions. The main domain is required-azure-yv1wlkxhy3-bh5zu194wo.edgeone.app and was registered NaN years ago.

Submitted URL: https://required-azure-yv1wlkxhy3-bh5zu194wo.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 malicious activity detected; site appears benign despite being unreachable.

Safety Factors
Hosted on a known platform (edgeone.app)
No credential or payment collection mechanisms
No suspicious redirects or cross‑origin requests
No brand impersonation or trademark misuse
Domain age information unavailable

Details

Page Title

DoorDash — Technical Program Manager for Foundations Engineering Dashboard

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(68%)

Domain Information

Within the application-focused generic top-level domain (.app), 'required-azure-yv1wlkxhy3-bh5zu194wo.edgeone.app' is registered with subdomain 'required-azure-yv1wlkxhy3-bh5zu194wo'. Count 7 characters in 'edgeone' containing 4 vowels alongside three consonants. Segmentation 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://required-azure-yv1wlkxhy3-bh5zu194wo.edgeone.app/

Page Load Overview

8.19s
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:840 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software68% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
68%
documentation technical
39%
adult content
34%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1142.251.127.94Singapore
AS139341
0142.251.141.74Singapore
AS139341
0104.16.175.226Singapore
AS139341
043.152.26.58Singapore
AS139341ACE
14--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E141E091C4FC051B929188D678E2661B1D81F75FD65D8460B27E09B80FE3A8DDC5FC29

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:hRB5C060m6xW06OVRzN7VgzNM0tPzEOlswM0JXYeT+2wExYmV5Mbl6LAjs6MYVKm:TBrzpWYNENXtPYkswXZbwEtVmb5s61j

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2078:IIAgAAgAIAAAAIAEAAAiAAAYDAIACAAAIgAABAEAAkgBAgAAUAAABADAAACCCAAKCAgAIAAAEEAAQCAQAAAAAAAAAQAARIAA

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:3f3fffffffffffff
Perceptual Hash:80000000feffffff
Difference Hash:c0c0000000000000
Wavelet Hash:7030f0f000000000
Color Hash:#87c5c5

Other Hashes

Crop Resistant:c0c0000000000000

Scan History

Scan history not available

Unable to load historical scan data