Security Scan Report: bright-gray-bfxmfz09uq-wut6rmykyi.edgeone.app

Submitted: Apr 3, 2026, 8:20:14 AMCompleted: Apr 3, 2026, 8:21:24 AMpubliccompleted
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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 bright-gray-bfxmfz09uq-wut6rmykyi.edgeone.app and was registered NaN years ago.

Submitted URL: https://bright-gray-bfxmfz09uq-wut6rmykyi.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; the site appears legitimate.

Safety Factors
No credential or payment forms present
No external domains or cross‑origin requests
No malicious Indicators of Compromise
Low JavaScript obfuscation, typical of benign minified code
Hosted on a standard platform without known malicious activity
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇫🇷

French

(50% confidence)

Category

documentation technical

(80%)

Domain Information

Domain 'bright-gray-bfxmfz09uq-wut6rmykyi.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'bright-gray-bfxmfz09uq-wut6rmykyi'. The second-level label 'edgeone' is 7 characters long holding 4 vowels versus 3 consonants. Word splitting yields 2 words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://bright-gray-bfxmfz09uq-wut6rmykyi.edgeone.app/

Page Load Overview

0.34s
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:609 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as fr

Website Classification

Primary Category

documentation technical80% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
80%
technology software
51%
cryptocurrency blockchain
50%
news media journalism
37%
healthcare medical
34%

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

T138E22381DFE41BDC601F85469B6D7F3F6A25A013A48C418CB5AD0E70EF49846E8FB0B6

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:shNIMi+gx/pzZ/DBv5/fLT/v/D7/Pjj//rL/vWd:wNIqgx/pzZ/Db/fLT/v/D7/Pjj//rL/s

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:33839:UAHw/BRGBVMgQAsaAkSIoAgi6USoCAAhI4UACWmrIhk1jYAI4IbxSjaAxIxKJvQAiVBUDgkAiKAS4OEJjBKmYJAEPAaEFEyR

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:9c1c3c1c1c1c1c3c
Perceptual Hash:da753c282879c3e3
Difference Hash:303070b031717171
Wavelet Hash:dcfc3c3c3c1c1c1c
Color Hash:#a2e06c

Other Hashes

Crop Resistant:303070b031717171

Scan History

Scan history not available

Unable to load historical scan data