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Security Scan Report: www.studioflach.com

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Submitted: May 2, 2026, 9:36:45 AMCompleted: May 2, 2026, 9:38:16 AMpubliccompleted
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Summary

This website contacted 10 IPs in 2 countries across 11 domains to perform 35 HTTP transactions. The main domain is studioflach.com and was registered NaN years ago.

Submitted URL: https://www.studioflach.com/journal/how-to-build-a-personal-brand-a-step-by-step-strategy

AI Security Verdict

Safe Website

Confidence: 95%

2
Risk Score

The site appears legitimate with minimal risk; no phishing or malware indicators detected.

Risk Factors
Domain is unranked in Cisco Umbrella (not in top 1M)
Safety Factors
Long-established domain (>8 years)
Brand name in meta tags matches the domain (no impersonation)
No credential or payment collection forms
No malicious IoC or YARA matches
No network IDS alerts
Domain age information unavailable

Details

Page Title

How to Build a Personal Brand: A Step-by-Step Strategy | Studio FLACH

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(50%)

Domain Information

The domain 'www.studioflach.com' uses the commercial generic top-level domain (.com), featuring subdomain 'www'. Its registrable label 'studioflach' stretches across 11 characters containing 4 vowels alongside 7 consonants. Splitting it apart reveals three words: studi, of, lach. Median word length comes out to 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.studioflach.com/journal/how-to-build-a-personal-brand-a-step-by-step-strategy

Page Load Overview

2.93s
Total Load Time
61
HTTP Requests
23
Domains
1.0 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:16,273 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning50% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

education learning
50%
news media journalism
37%
government public service
36%
adult content
34%
blog personal website
33%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7142.251.127.97United States
AS15169Google LLC
6104.18.161.117United States
AS13335Cloudflare, Inc.
6151.101.193.229United States
AS54113Fastly, Inc.
6104.18.41.175United States
AS13335Cloudflare, Inc.
6142.251.20.94United States
AS15169Google LLC
613.226.247.67United States
AS16509Amazon.com, Inc.
6142.251.154.119United States
AS15169Google LLC
6184.24.77.144Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
6104.26.15.242United States
AS13335Cloudflare, Inc.
6198.202.211.1United States
AS209242Cloudflare London, LLC
6110--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19403E72FFA000129E2570590F5EBFB88A217711EA7C54C94F87C411C27B2F996737BAA

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:/BCL1DWEcH5swFyjr+c08dojRwufIQjNTglHWsX1kC7d0eToGMltB4b2G:28rjRwuQcTgcsX1kC7d07a

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:40765:IVpAsTmimjgIAkIRA4BBsOE0iSEMEhGBZA87HKFARlgwAQEFIgiBYKAnMUVyCIMCHWKKgiviAkKygEBjQDcgECaFIkQgg3hD

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:00fef440043c7c3c
Perceptual Hash:d27c9f3629619a0e
Difference Hash:082c8583edddc9e9
Wavelet Hash:00fefcc0147c7c7c
Color Hash:#6ce08d

Other Hashes

Crop Resistant:cbd0d0d0d0d0d0c7,b3dd5b139bcaea76,082c858bedddcde9

Scan History

Scan history not available

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