Security Scan Report: mutual-magenta-llgwg3wzvu-g65hzxvul3.edgeone.app

Submitted: Mar 21, 2026, 5:01:31 AMCompleted: Mar 21, 2026, 5:02:42 AMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 1 HTTP transaction. The main domain is mutual-magenta-llgwg3wzvu-g65hzxvul3.edgeone.app and was registered NaN years ago.

Submitted URL: https://mutual-magenta-llgwg3wzvu-g65hzxvul3.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: 88%

1
Risk Score

No suspicious indicators detected; the site appears legitimate and safe.

Safety Factors
Standard form fields only (no credential or payment collection)
Hosted on a known hosting platform (edgeone.app) without known malicious activity
No external malicious scripts or cross‑origin credential submissions detected
No JavaScript malware patterns matched
Domain age information unavailable

Details

Page Title

Making Card

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(53%)

Domain Information

You're looking at domain 'mutual-magenta-llgwg3wzvu-g65hzxvul3.edgeone.app' on the application-focused generic top-level domain (.app) and includes subdomain 'mutual-magenta-llgwg3wzvu-g65hzxvul3'. Its registrable label 'edgeone' stretches across 7 characters split between 4 vowels and 3 consonants. Splitting it apart reveals two 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://mutual-magenta-llgwg3wzvu-g65hzxvul3.edgeone.app/

Page Load Overview

0.66s
Total Load Time
6
HTTP Requests
3
Domains
51 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:130 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service53% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
53%
documentation technical
52%
finance banking
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2104.16.80.73United States
2104.16.174.226United States
243.152.26.58Singapore
63--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F8716561A4F00972818F62CC96E53F087DA7C307CA86A3C5B1EC9FC04FA6DD7846761A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TxDaLb4NJa9Bbv7i0taDqTBxfVa4PhU+xcY3YztKKECI1WaT0Dj:TxDaLbA8bVQKbfVzht1IztKKECI1bTUj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3656:CAEEBQCQAmARgEgiAESIAACAsAAIBQICAmAAIAIBAAUEDAAAABAMEASACAgAEBoIhBAgAAMAoBACAAsMYAHAIgCRQAGIEACC

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:00ffc3c3ffffffff
Perceptual Hash:b43c1e476765341e
Difference Hash:1400169600020000
Wavelet Hash:00c3c3c30f0f0f0f
Color Hash:#53ac9f

Scan History

Scan history not available

Unable to load historical scan data