Security Scan Report: neat-silver-ptl6atlk1i-y38mt5nqmo.edgeone.app

Submitted: Apr 3, 2026, 12:58:48 PMCompleted: Apr 3, 2026, 12:59:56 PMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is neat-silver-ptl6atlk1i-y38mt5nqmo.edgeone.app and was registered NaN years ago.

Submitted URL: https://neat-silver-ptl6atlk1i-y38mt5nqmo.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: 85%

1
Risk Score

No malicious activity detected; the site appears benign.

Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise
JavaScript is minimally obfuscated and contains no malicious behavior
No cross‑origin credential exfiltration detected
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇫🇷

French

(50% confidence)

Category

documentation technical

(57%)

Domain Information

Domain 'neat-silver-ptl6atlk1i-y38mt5nqmo.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'neat-silver-ptl6atlk1i-y38mt5nqmo'. Its registrable label 'edgeone' stretches across 7 characters with 4 vowels and 3 consonants. Splitting it apart reveals two 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://neat-silver-ptl6atlk1i-y38mt5nqmo.edgeone.app/

Page Load Overview

0.39s
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:66 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as fr

Website Classification

Primary Category

documentation technical57% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
57%
healthcare medical
41%
news media journalism
40%
government public service
36%
education learning
26%

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

T18012D8CAEBE306C8681BC4682FFF5325222DE057D449C94DB9AE0F648F4518875FB2B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBOheh1RaXQl:KrzhNK/lMHmGgdkq1sd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9584:MF3i1nBCBYMSPBUUBU2QlCAiGSSEjQQhMNANEAADiDwQAIGIHMQ1ywKQKYcCAMaQmTjd1UAmSGH6hAtBoAIGCToCOC6WJCEB

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:dcfcfce0c0808000
Perceptual Hash:de9a98386c65c3c3
Difference Hash:3030700000000000
Wavelet Hash:dcfcfce0f0e0e0c0
Color Hash:#d22dc5

Other Hashes

Crop Resistant:3030700000000000

Scan History

Scan history not available

Unable to load historical scan data