Security Scan Report: enormous-magenta-gajhctvv6q-nec1ytepat.edgeone.app

Submitted: Jan 27, 2026, 2:20:04 AMCompleted: Jan 27, 2026, 2:21:11 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 enormous-magenta-gajhctvv6q-nec1ytepat.edgeone.app and was registered NaN years ago.

Submitted URL: https://enormous-magenta-gajhctvv6q-nec1ytepat.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

Legitimate site with no apparent security concerns.

Safety Factors
Well‑established domain (> 365 days)
No credential or payment collection fields
No malicious Indicators of Compromise
Content appears to be a simple file collection page
No external links or redirects
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇫🇷

French

(50% confidence)

Category

news media journalism

(31%)

Domain Information

The domain 'enormous-magenta-gajhctvv6q-nec1ytepat.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'enormous-magenta-gajhctvv6q-nec1ytepat'. The second-level label 'edgeone' is 7 characters long split between 4 vowels and three consonants. It segments into 2 words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://enormous-magenta-gajhctvv6q-nec1ytepat.edgeone.app/

Page Load Overview

0.18s
Total Load Time
2
HTTP Requests
1
Domains
7 KB
Total Size

Language Analysis

Primary Language

🇫🇷French
Code: fr
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:fr
Detection Confidence:50%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:56 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as fr

Website Classification

Primary Category

news media journalism31% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
31%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17B02D7CAEBA305C9A82BC0682FFF5724222DE057C448CD5DB99E5F548F4518875EB3B8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBSR7h1RaXQl:KrzhNK/lMHmGgdkqTR7d

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8708:YA0C1nECpYsQNBWcAU2ihAQiSQCODQQANFEJCKACjDKUAIEIAeR0wwKQSaeCgtaAgTycVYEmSMhaBAhBAAIXCSoCOGaWRAUB

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:dcfcfcc0e0e0c0c0
Perceptual Hash:de9a98386c6563c3
Difference Hash:3030300000000000
Wavelet Hash:dcfcfcf0f0e0c0c0
Color Hash:#763a78

Other Hashes

Crop Resistant:3030300000000000

Scan History

Scan history not available

Unable to load historical scan data