Security Scan Report: www.yesweekly.com

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Submitted: Jan 6, 2026, 3:53:18 AMCompleted: Jan 6, 2026, 3:55:03 AMpubliccompleted
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Summary

This website contacted 9 IPs in 1 country across 8 domains to perform 39 HTTP transactions. The main domain is yesweekly.com and was registered NaN years ago.

Submitted URL: https://www.yesweekly.com/music/rock-legend-david-lee-roth-coming-to-the-triad/article_dcb7cebb-0a48-4fa9-b2ad-3459deeed350.html

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate news site with no security concerns.

Safety Factors
Well-established domain with long registration history
No suspicious forms or data collection
No external malicious links or redirects
Domain age information unavailable

Details

Page Title

Rock Legend David Lee Roth coming to the Triad | Music | yesweekly.com

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(84%)

Domain Information

The domain 'www.yesweekly.com' uses the commercial generic top-level domain (.com), featuring subdomain 'www'. Count 9 characters in 'yesweekly' holding three vowels versus 6 consonants. Tokenizing the label suggests two words: yes, weekly. Median word length comes out to 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.yesweekly.com/music/rock-legend-david-lee-roth-coming-to-the-triad/article_dcb7cebb-0a48-4fa9-b2ad-3459deeed350.html

Page Load Overview

15.43s
Total Load Time
23
HTTP Requests
7
Domains
760 KB
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:467 chars
Detector Agreement:75%

Website Classification

Primary Category

entertainment media84% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
84%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
766.102.1.154United States
2142.250.184.228United States
2216.239.34.36United States
2172.217.18.3United StatesUnknown
23.160.134.139United StatesUnknown
266.102.1.155United StatesUnknown
2142.250.185.195United StatesUnknown
2192.104.183.109United States
AS10668LEE-ASN
2142.251.141.104United StatesUnknown
239--

Detected Technologies8

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18932F9536A20813903D65395E775F088A9765246D201ECA0FEEC999D3FD0FC7886BBCD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:QQoCi/kLAlNoCi/kLAldIdyRi3Ry5wuwzPZRi3Ry5wuwz2ybuyxJ6UsBOysAZIcN:QQhi/kcDhi/kcAdyE3RqwzPZE3Rqwz2H

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:11878:FEZESAoIQIgEmYAyAtiisZgYytmElBUABAAFgZKgCQABIiaxACVEMgyqQMBROrDOFQCAOYCApStJgVAUEIAAAQPBYTSQQYMp

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:c7c3ffffffffffff
Perceptual Hash:b03030329bcbcfcf
Difference Hash:1c1e000000000000
Wavelet Hash:07033f3f00000000
Color Hash:#65ac53

Other Hashes

Crop Resistant:1c1e000000000000

Scan History

Scan history not available

Unable to load historical scan data