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Security Scan Report: www.tulsakids.com

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Submitted: Mar 3, 2026, 7:54:33 PMCompleted: Mar 3, 2026, 7:56:29 PMpubliccompleted
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Summary

This website contacted 22 IPs in 4 countries across 22 domains to perform 1 HTTP transaction. The main domain is tulsakids.com and was registered NaN years ago.

Submitted URL: https://www.tulsakids.com/we-are-the-youth-gone-wild/

AI Security Verdict

Safe Website

Confidence: 93%

1
Risk Score

Legitimate news article site; no phishing or malware indicators detected.

Safety Factors
Established domain with long registration history
Article content type (og:type=article) – brand mention is reporting, not impersonation
Only a single non‑credential form present
Cross‑origin request to a known ad network (typical for legitimate sites)
No malicious Indicators of Compromise or IDS alerts
Domain age information unavailable

Details

Page Title

Sebastian Bach: We are the Youth Gone Wild! - TulsaKids

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(98%)

Domain Information

Domain 'www.tulsakids.com' uses the commercial generic top-level domain (.com) with subdomain 'www'. Its registrable label 'tulsakids' stretches across 9 characters containing 3 vowels alongside six consonants. Tokenizing the label suggests 2 words: tulsa, kids. Median word length is 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.tulsakids.com/we-are-the-youth-gone-wild/

Page Load Overview

11.65s
Total Load Time
263
HTTP Requests
35
Domains
8.8 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-US
Text Length:7,540 chars
Detector Agreement:80%

Website Classification

Primary Category

social media network98% confidence
Type: spa
Method: ml+structural

All Detected Categories

social media network
98%
education learning
63%
entertainment media
49%
news media journalism
48%
news/blog
35%

Detected Features

Articles
Comments
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
32142.251.37.3United Kingdom
AS15169
1191.228.74.222Sweden
AS54113
11142.250.187.227United States
AS32934
11142.250.201.74Finland
AS10668
1198.87.109.97Ashburn, Virginia, United States
AS14618Amazon.com, Inc.
11192.104.183.130United States
AS10668Lee Enterprises, Incorporated
112.23.245.35Unknown
AS14618
1154.159.54.245Ashburn, Virginia, United States
AS14618Amazon.com, Inc.
11172.217.168.78UnknownUnknown
11146.75.120.84UnknownUnknown
26322--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13D24F9F2570C653915067AECA529B709F78E9216DF4385C4F2FF5258CB81BE62AA330C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:KgAVLE+VC0f8NUbzAwc0F+yQKqe+qmFRx656mOpM+h8EON5OQBeMxDJRYDhA/5Yn:KgAl1UwL+kxDJRYtOCbabrRhsVA8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:225264:QICqhAALECPAEZFAAiMkUpg8JlJxjYUqCODHEGtoMwI3AsLBoA8EqIEqAHFAL5M0CoJCAwWAjIEEVRgFFqAGgDUoAQwGQCQQ

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:d9ffff83878787ff
Perceptual Hash:bccdc3324d2cc3d2
Difference Hash:333236262f2f2f07
Wavelet Hash:00ffdb83838383e7
Color Hash:#e09a6c

Other Hashes

Crop Resistant:333236262f2f2f07,8c63f1f8b8a4a458,33333359c99cdccc,60697232b89bba2a

Scan History

Scan history not available

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