Security Scan Report: excess-fuchsia-q2m7bnih6l-51c3108rtw.edgeone.app

Submitted: Jan 6, 2026, 1:20:54 AMCompleted: Jan 6, 2026, 1:22:03 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 excess-fuchsia-q2m7bnih6l-51c3108rtw.edgeone.app and was registered NaN years ago.

Submitted URL: https://excess-fuchsia-q2m7bnih6l-51c3108rtw.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%

0
Risk Score

No suspicious activity detected; site appears legitimate.

Safety Factors
Established domain age
Minimal risk category
No malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇫🇷

French

(50% confidence)

Category

unknown

(0%)

Domain Information

The domain name 'excess-fuchsia-q2m7bnih6l-51c3108rtw.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'excess-fuchsia-q2m7bnih6l-51c3108rtw'. The second-level label 'edgeone' is 7 characters long with four vowels and 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://excess-fuchsia-q2m7bnih6l-51c3108rtw.edgeone.app/

Page Load Overview

2.42s
Total Load Time
2
HTTP Requests
1
Domains
3 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:46 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as fr

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
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

T19A02B6CAEBA305C9A81BC0682FFB5324222DE057C449CD5DB9AE5F548F4518875FB3B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gB8h1RaXQl:KrzhNK/lMHmGgdkqFd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8688:ME3i1nBCJQMSfBVcBU2ClCAiWCCEDQQBMNAJCAADiDaQAIEINMR0ywKACYeCANaQmTjc1UAmSGHahAhBoEIGCLoCOC6WBCEB

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:de9a9838686563c7
Difference Hash:3030600000000000
Wavelet Hash:dcfcfcf0f0e0c0c0
Color Hash:#82bf40

Other Hashes

Crop Resistant:3030600000000000

Scan History

Scan history not available

Unable to load historical scan data