Security Scan Report: angry-magenta-lrslj19izd-0i5nkxu4mh.edgeone.app

Submitted: Jan 6, 2026, 11:02:57 AMCompleted: Jan 6, 2026, 11:04:15 AMpubliccompleted
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Summary

This website contacted 4 IPs in 3 countries across 3 domains to perform 40 HTTP transactions. The main domain is angry-magenta-lrslj19izd-0i5nkxu4mh.edgeone.app and was registered NaN years ago.

Submitted URL: https://angry-magenta-lrslj19izd-0i5nkxu4mh.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 suspicious activity detected; site appears legitimate.

Safety Factors
Established domain age
Absence of credential or payment collection
No malicious Indicators of Compromise
Content appears to be a public health information site
Domain age information unavailable

Details

Page Title

BIHAR-MIS | Village Health Services

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

Within the application-focused generic top-level domain (.app), 'angry-magenta-lrslj19izd-0i5nkxu4mh.edgeone.app' is registered, featuring subdomain 'angry-magenta-lrslj19izd-0i5nkxu4mh'. The second-level label 'edgeone' is 7 characters long containing 4 vowels alongside three consonants. Segmentation suggests 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://angry-magenta-lrslj19izd-0i5nkxu4mh.edgeone.app/

Page Load Overview

1.65s
Total Load Time
13
HTTP Requests
3
Domains
1.9 MB
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:615 chars
Detector Agreement:67%

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
443.152.26.58Singapore
346.105.222.81France
3104.18.0.22United States
AS13335CLOUDFLARENET
345.43.142.101UnknownUnknown
134--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T130C28422AD530911558BD0ED27E31A08F37451035D89C94C7EADD3A88F4F69EEA7E78C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:BFKaXVDITFE93LTwjMpUOA8yhhz7RgmipRGiSiFiwiYeZiqiqimiyid:BFFXdITFuDvA8y/Rg3370NYnTT3bd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:27860:IpghAJAAEGsIxIgBWjJJihKip7ggOAgZiHNDsAyAXsJaZgCIIKgJkGiMAYqltBItBYBCCRJAjGQ0QwABISBWIAYRQ6GmkpQ0

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:0000dbcbfb9888a3
Perceptual Hash:e9301656e178bc9d
Difference Hash:9552b393d3715b66
Wavelet Hash:0000dbdbfbb9a8e3
Color Hash:#d22d35

Scan History

Scan history not available

Unable to load historical scan data