Security Scan Report: klin.com

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Submitted: Nov 23, 2025, 12:54:31 AMCompleted: Nov 23, 2025, 12:58:07 AMpubliccompleted
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Summary

This website contacted 88 IPs in 4 countries across 33 domains to perform 179 HTTP transactions. The main domain is klin.com and was registered NaN years ago.

Submitted URL: https://klin.com/2025/11/19/dayton-raiola-de-commits-from-nu-football/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate news article with no security concerns.

Safety Factors
Well‑established domain (registered since 1997)
No malicious Indicators of Compromise
No forms collecting sensitive data
Domain age information unavailable

Details

Page Title

Dayton Raiola de-commits from NU Football | KLIN - News/Talk 1400

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news media journalism

(70%)

Domain Information

Within the commercial generic top-level domain (.com), 'klin.com' is registered and has no subdomain. Its registrable label 'klin' stretches across 4 characters containing 1 vowel alongside three consonants. Splitting it apart reveals one word: klin. The median word length lands at 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://klin.com/2025/11/19/dayton-raiola-de-commits-from-nu-football/

Page Load Overview

2.58s
Total Load Time
179
HTTP Requests
33
Domains
4.1 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:2,643 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism70% confidence
Type: spa
Method: ml+structural

All Detected Categories

news media journalism
70%
news/blog
50%
adult content
37%
corporate business
32%
government public service
30%

Detected Features

Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
42142.250.185.194United States
AS15169GOOGLE
19172.66.42.247United States
AS13335CLOUDFLARENET
17108.138.7.79United States
AS16509AMAZON-02
1518.172.112.49United States
AS16509AMAZON-02
1454.84.131.112Ashburn, Virginia, United States
AS14618AMAZON-AES
8216.239.32.36United States
AS15169GOOGLE
6142.250.185.166United States
AS15169GOOGLE
5142.250.186.161United States
AS15169GOOGLE
4142.250.186.136United States
AS15169GOOGLE
4142.250.184.195United States
AS15169GOOGLE
17988--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C593C2334648423B22A683C89438F718A1AB8237FA5595D4FBFF15649F84DF74077EA8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:ckKlRapUJRUQ+dnSfBMgrv2HrQDo7so0yT7ZQcGKddKSKLKBKnKUKYKUKAKsKTK/:ckKlwiJKQ+dnSfBMgruHr90yT77jEANW

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:97557:gJwmEEwNEgvApx9hQYzkRKJmQgAAlAmI5gQAXADyBGyGiiJFDI2TEACkmAGVaYkqTEAwbkgijCUrRSC4EiwWgE05wJMSyQlQ

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:000504ffffffc300
Perceptual Hash:ba144fe45b614774
Difference Hash:dd3d699b1c2e0769
Wavelet Hash:000405ffffffc308
Color Hash:#c6d279

Scan History

Scan history not available

Unable to load historical scan data