Security Scan Report: frozen-red-langvfwypv-wy5ua4d75b.edgeone.app

Submitted: Mar 30, 2026, 2:03:24 PMCompleted: Mar 30, 2026, 2:04:33 PMpubliccompleted
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Summary

This website contacted 4 IPs in 2 countries across 4 domains to perform 18 HTTP transactions. The main domain is frozen-red-langvfwypv-wy5ua4d75b.edgeone.app and was registered NaN years ago.

Submitted URL: https://frozen-red-langvfwypv-wy5ua4d75b.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: 93%

0
Risk Score

The site appears to be a legitimate local auto service page with no security concerns.

Safety Factors
No malicious Indicators of Compromise
No forms collecting sensitive data
Content appears to be a legitimate local business page
Domain age > 365 days (registered 2023-05-10)
Hosted on a known platform but without suspicious behavior
Domain age information unavailable

Details

Page Title

Autoservis Lindner – Jablonec nad Nisou | Pneuservis & Autopůjčovna

Scan Type

public

Language

🇨🇿

Czech

(80% confidence)

Category

documentation technical

(92%)

Domain Information

Domain 'frozen-red-langvfwypv-wy5ua4d75b.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'frozen-red-langvfwypv-wy5ua4d75b'. The registrable portion 'edgeone' spans 7 characters with 4 vowels and 3 consonants. Splitting it apart reveals 2 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://frozen-red-langvfwypv-wy5ua4d75b.edgeone.app/

Page Load Overview

1.76s
Total Load Time
18
HTTP Requests
4
Domains
372 KB
Total Size

Language Analysis

Primary Language

🇨🇿Czech
Code: cs
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:cs
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:cs
Text Length:4,776 chars
Detector Agreement:80%

Website Classification

Primary Category

documentation technical92% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
92%
government public service
69%
adult content
51%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
665.8.131.60Singapore
4142.251.127.94United States
AS15169Google LLC
443.152.26.58Singapore
4142.251.143.106United States
AS15169Google LLC
184--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E2F2B42161F0603185A792D17E97537E37A9E203C90E566836FD094C8FDBEE99E03E4D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:5L5vqaC1IrQMbsNnr62IIymqiRYVKm513puXgJI0Ixt:5NvQ1IrQSsVr7IIymqQYUyxpuXyI9n

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:35391:EEAiFMUECA8MgdJHswBAIA/CAJIuUIBowARsGtADAigVAiFQ1YLGdaGy1R45uBAgLGBIDApDYKiERCGICBAcGAKlTmYBgMEc

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:0100f1f0c0c000ff
Perceptual Hash:e0a21f38e3e2ec1b
Difference Hash:3f1ec7c798acbf52
Wavelet Hash:8707f7f0e0c001ff
Color Hash:#93551f

Other Hashes

Crop Resistant:3f1ec7c798acbf52

Scan History

Scan history not available

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