Security Scan Report: gross-brown-av9jzyuaq3-2t5w9ylch5.edgeone.app

Submitted: Mar 23, 2026, 11:42:38 PMCompleted: Mar 23, 2026, 11:43:47 PMpubliccompleted
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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 gross-brown-av9jzyuaq3-2t5w9ylch5.edgeone.app and was registered NaN years ago.

Submitted URL: https://gross-brown-av9jzyuaq3-2t5w9ylch5.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: 92%

0
Risk Score

No malicious activity detected; the site appears legitimate.

Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise
Low JavaScript obfuscation, no malware patterns
No cross‑origin credential exfiltration
Standard hosting platform subdomain without malicious content
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇫🇷

French

(50% confidence)

Category

cryptocurrency blockchain

(54%)

Domain Information

The domain name 'gross-brown-av9jzyuaq3-2t5w9ylch5.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'gross-brown-av9jzyuaq3-2t5w9ylch5'. Count 7 characters in 'edgeone' split between four vowels and three consonants. Segmentation suggests 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://gross-brown-av9jzyuaq3-2t5w9ylch5.edgeone.app/

Page Load Overview

0.52s
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:144 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as fr

Website Classification

Primary Category

cryptocurrency blockchain54% confidence
Type: static
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
54%
documentation technical
42%
healthcare medical
38%
news media journalism
33%
finance banking
30%

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

T13242B6C5EFE71ACC781BC4685FBF67262629A013D44DC94CB9AE0E609F44184B5FB2B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gB4hjhxhvhhh1RaXQl:KrzhNK/lMHmGgdkqblThTd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:12311:IFUKVHIAHwdSNByGCUWQgQIiAQWEiwxAFRAJEUAq2DgQAIEMDYA0ywGwKSWHQJaQGXiVTygkfEH6BA1HACYOrDoAOCeGIAkF

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:dcfcfcfcbc800000
Perceptual Hash:da9a64659a986567
Difference Hash:3030307060000000
Wavelet Hash:dcfcfcfcfcc08000
Color Hash:#1f4e93

Other Hashes

Crop Resistant:3030307060000000

Scan History

Scan history not available

Unable to load historical scan data