Security Scan Report: izmirflx.shop

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Submitted: Dec 6, 2025, 9:58:50 PMCompleted: Dec 6, 2025, 9:59:59 PMpubliccompleted
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Summary

This website contacted 9 IPs in 2 countries across 4 domains to perform 28 HTTP transactions. The main domain is izmirflx.shop and was registered NaN years ago.

Submitted URL: https://izmirflx.shop/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Site appears legitimate with no malicious indicators.

Safety Factors
No malicious Indicators of Compromise matches found
No credential or payment forms detected
Content does not impersonate any known brand
Domain age information unavailable

Details

Page Title

İzmir Escort 2026 • Buca • Bornova • Alsancak • Konak • Karşıyaka • Çeşme • Gerçek Fotoğraflı Güncel Bayanlar

Scan Type

public

Language

🇹🇷

Turkish

(80% confidence)

Category

adult content

(41%)

Domain Information

The domain name 'izmirflx.shop' uses the commerce-oriented generic top-level domain (.shop) while skipping any subdomain. The registrable portion 'izmirflx' spans 8 characters split between two vowels and 6 consonants. Breaking it apart gives 3 words: izmir, fl, x. Median word length comes out to 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://izmirflx.shop/

Page Load Overview

0.37s
Total Load Time
28
HTTP Requests
4
Domains
66 KB
Total Size

Language Analysis

Primary Language

🇹🇷Turkish
Code: tr
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:tr
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:tr
Text Length:8,368 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content41% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
41%
corporate
35%
education learning
29%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
16160.153.0.194United States
AS209242Cloudflare London, LLC
10142.250.185.227United States
AS15169GOOGLE
32606:4700:3032::6815:5f65United States
AS13335CLOUDFLARENET
32a00:1450:4001:82b::200aFrankfurt am Main, Hesse, Germany
AS15169GOOGLE
32606:4700:3035::ac43:9047United States
AS13335CLOUDFLARENET
32a00:1450:4001:813::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
3104.21.95.101United States
AS13335CLOUDFLARENET
1216.58.206.74United States
AS15169GOOGLE
1172.67.144.71United States
AS13335CLOUDFLARENET
289--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T179E2B5770AF4A81B022B82C7DA507B1CEB4B9707C7561C55B36C079E9F82BC28D8765E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:IoxoQIwenBKrqcqasvkeef1+qPRsUkjOc1BDosVjXdZA:pRIwenBYqcps8fkqJs3jOSDosVjXdZA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:32409:AIIAPFEHU4BEABEAUQA0ALtSUm3iCAEQUSBYoQtbLIgEEmAtKmDYBAhEYYwo5EAqFWGIKKjFaxSECT6wTKYAAQIGBKsAaBhy

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:ff0100242c080000
Perceptual Hash:8ae1edc9c1c6c8d3
Difference Hash:c901cdccdd31f1d5
Wavelet Hash:ff01017f7f190139
Color Hash:#78563a

Scan History

Scan history not available

Unable to load historical scan data