Security Scan Report: goodbarber.app

Submitted: Mar 10, 2026, 2:42:05 AMCompleted: Mar 10, 2026, 2:43:38 AMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 10 HTTP transactions. The main domain is goodbarber.app and was registered NaN years ago.

Submitted URL: https://goodbarber.app

The Cisco Umbrella rank of the primary domain is #444,245 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 410 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

Not Found

Scan Type

public

Language

🇺🇸

English

(57% confidence)

Category

documentation technical

(43%)

Domain Information

Domain 'goodbarber.app' uses the application-focused generic top-level domain (.app) while skipping any subdomain. Count 10 characters in 'goodbarber' with 4 vowels and 6 consonants. Splitting it apart reveals two words: good, barber. The median word length lands at 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://goodbarber.app

Page Load Overview

0.39s
Total Load Time
6
HTTP Requests
2
Domains
43 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:57%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:57%
Script Type:Latin
Text Length:85 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical43% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
43%
healthcare medical
40%
news media journalism
36%
government public service
30%
adult content
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3195.181.170.19Frankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
3154.56.81.110Paris, Île-de-France, France
AS174Cogent Communications, LLC
62--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14B01414B658A1B07A02A5980F8866B80990E0F07721ACBB16C8244BEF0CD53C85E27FC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:ha00eRDsOCBPDEY1G13NWPDZRmIMY/P+7vYdZWWEOEHCMKU:jajLEY1gNqZYIMe+rvj7

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:819:AAAEAAAIgBACAAAIAAAAAAAAAAACQBAAAAAAAAAgECAAAAAAQAEAEAAAAAAAAAACAAAAAAAAAgAACAAAEAAFBAAAEAAYAAAA

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:ffe7e7e7ffffffff
Perceptual Hash:b33389cccccc6633
Difference Hash:000c0c0400000000
Wavelet Hash:ffe7e7e700000000
Color Hash:#bf40bb

Other Hashes

Crop Resistant:000c0c0400000000

Scan History

Scan history not available

Unable to load historical scan data