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Security Scan Report: profound-amaranth-n9jcgen2ui-d1ya075ecs.edgeone.app

Submitted: Mar 2, 2026, 4:30:45 PMCompleted: Mar 2, 2026, 4:32:16 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 4 HTTP transactions. The main domain is profound-amaranth-n9jcgen2ui-d1ya075ecs.edgeone.app and was registered NaN years ago.

Submitted URL: https://profound-amaranth-n9jcgen2ui-d1ya075ecs.edgeone.app/

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

AI Security Verdict

Confirmed Scam

Confidence: 95%

9
Risk Score

New subdomain with credential‑harvesting login form; likely phishing – avoid and report.

Risk Factors
New subdomain on free hosting platform with unknown creation date
Credential‑harvesting login form on a domain less than 7 days old
Low domain reputation (low Cisco Umbrella rank)
Absence of legitimate site content; page appears to be a phishing login page
Domain age information unavailable

Details

Page Title

Social Communication Platform

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(76%)

Domain Information

The domain name 'profound-amaranth-n9jcgen2ui-d1ya075ecs.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'profound-amaranth-n9jcgen2ui-d1ya075ecs'. The core label 'edgeone' covers 7 characters holding 4 vowels versus 3 consonants. Segmentation suggests 2 words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://profound-amaranth-n9jcgen2ui-d1ya075ecs.edgeone.app/

Page Load Overview

0.69s
Total Load Time
4
HTTP Requests
1
Domains
162 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:135 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network76% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
76%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
443.152.26.58Singapore
AS139341ACE
41--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FFA28580740822781D3FAA14EFC8A768D125F541EF634467B10E049EE5E7FF239B6BA5

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:XiOD05nrGPKJgg8T4xksc64Jysq7v4iYVRVf/xcD:x0rGV4xksc64Jysq7vOVRVf/OD

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:22427:CoBXKDQjNAh4KDMI2F1KCNRznBADI4oowICEKSLIAMDgmVJkpgDYCEZYExACBSnMzVACC2QIDIQAqlAERigQQNFuELCrlCgg

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:ffffe7e7e7e7ffff
Perceptual Hash:e6e3998c26333666
Difference Hash:300c4d4d4d4d4c30
Wavelet Hash:fef8e0e0c1c3830f
Color Hash:#4044bf

Other Hashes

Crop Resistant:300c4d4d4d4d4c30,33b288d0cc8192b2

Scan History

Scan history not available

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