Security Scan Report: sinfitberlin.com

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Submitted: Sep 28, 2026, 9:23:15 AMCompleted: Sep 28, 2026, 9:24:22 AMpubliccompleted

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Legitimate SIN Fitness gym site with standard contact/lead forms. No phishing, malware, impersonation, or credential/payment collection detected.

Safety Factors (5)
Established domain age (registered 2019-03-07)
Self-branding matches own domain (SIN Fitness / sinfitberlin.com)
No credential or payment forms present
No Indicators of Compromise, YARA, IDS, or JavaScript behavioral threats
Physical address, phone, email, and legal policy links present
Domain age information unavailable

Details

Page Title

Ryan Kolej, Personal Training Instructor in Berlin - SIN Fitness

Scan Type

public

Domain Name Analysis

The domain name 'sinfitberlin.com' uses the commercial generic top-level domain (.com). The second-level label 'sinfitberlin' is 12 characters long holding four vowels versus 8 consonants. Segmentation suggests three words: sinf, it, berlin. Expect four characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://sinfitberlin.com/Trainers/Ryan-Kolej

Page Load Overview

3.70s
Total Load Time
2.6 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:3,680 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content73% confidence
Type: spa
Method: ml+structural+ocr_tiebreaker

All Detected Categories

adult content
73%
documentation technical
44%
healthcare medical
43%
government public service
37%
social media network
31%

Detected Features

Search
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3220.49.104.5Azure · CLOUDDulles, Virginia, United States
AS8075Microsoft Corporation
1151.101.193.155Fastly · CDNUnited States
AS54113Fastly, Inc.
1142.251.157.119Google · CDNUnited States
AS15169Google LLC
1104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.14.95Google · CDNUnited States
AS15169Google LLC
1142.251.13.97Google · CDNUnited States
AS15169Google LLC
1142.251.110.94Google · CDNUnited States
AS15169Google LLC
1104.16.78.6Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
120.209.84.65Azure · CLOUDDulles, Virginia, United States
AS8075Microsoft Corporation
1142.251.14.157Google · CDNUnited States
AS15169Google LLC
6837--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D6A30802FDE51431062340B5AAFB9B09BE71D107C609DD30BAAC4B985FC4F919E6BB9D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:fu0tPabUtuBqPyPDD0TVs6AD4bxXNpc3ngDO:KYyP0Js6AMbxXNpc3ngDO

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:100789:EsnECFhyHiKgAJFAMCjGwAAEMgAYorAKSkYpM9AAIUQhEHEuDFRiIAhgAgxiBiuANNMAcAWCQiAyKSC47SQESAEggyAQqIAD

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:ffff000000fff700
Perceptual Hash:a69dc7e649a61b18
Difference Hash:41417133b40c4dc9
Wavelet Hash:ffff000000ffff00
Color Hash:#2d8655

Scan History

Scan history not available

Unable to load historical scan data