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Security Scan Report: gross-black-physxogcmy-2bocb4uhin.edgeone.app

Submitted: Apr 11, 2026, 2:04:39 PMCompleted: Apr 11, 2026, 2:05:49 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 gross-black-physxogcmy-2bocb4uhin.edgeone.app and was registered NaN years ago.

Submitted URL: https://gross-black-physxogcmy-2bocb4uhin.edgeone.app/

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

AI Security Verdict

Low Risk

Confidence: 92%

2
Risk Score

No malicious indicators detected; subdomain on edgeone.app shows only file listings, resulting in low risk.

Safety Factors
No credential or payment collection forms
No malicious Indicators of Compromise
Hosted on a reputable platform (edgeone.app) with no suspicious behavior
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇫🇷

French

(50% confidence)

Category

documentation technical

(73%)

Domain Information

The domain name 'gross-black-physxogcmy-2bocb4uhin.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'gross-black-physxogcmy-2bocb4uhin'. The registrable portion 'edgeone' spans 7 characters split between four vowels and three consonants. Segmentation suggests two words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://gross-black-physxogcmy-2bocb4uhin.edgeone.app/

Page Load Overview

0.38s
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:215 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as fr

Website Classification

Primary Category

documentation technical73% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
73%
cryptocurrency blockchain
39%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
AS139341ACE
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B47296C5EFE52BCCA41B81545FBE6B3A3629A003D44CC58CB5AE0EB09F48585F4BB1B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBfhoh6hchihwhShMh6hIXh1RaXQl:KrzhNK/lMHmGgdkqQSMmEC0O8Ad

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:16768:Qg3EhFqADkMwXIgegEmCzAMCCAXDAGwBc8DJEAApDBQRMIEIZIAxV6KSjbYCRNSIgDjRVU6mzIEajA0VIBTGyroAOASXBBUH

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:9c9c3c3c3c3c3c00
Perceptual Hash:dab8659a619a61c7
Difference Hash:3030307070707000
Wavelet Hash:dcfcbc3c3c3c3c00
Color Hash:#86772d

Other Hashes

Crop Resistant:3030307070707000

Scan History

Scan history not available

Unable to load historical scan data