Security Scan Report: yonkerstimes.com

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Submitted: Nov 22, 2025, 8:15:35 AMCompleted: Nov 22, 2025, 8:17:42 AMpubliccompleted
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Summary

This website contacted 58 IPs in 3 countries across 28 domains to perform 188 HTTP transactions. The main domain is yonkerstimes.com and was registered NaN years ago.

Submitted URL: https://yonkerstimes.com/a-middle-school-student-gave-me-an-apple-today/

AI Security Verdict

Moderate Risk

Confidence: 58%

5
Risk Score

Possible brand impersonation, but overall risk remains moderate.

Risk Factors
Brand impersonation (Apple) on an unranked, unrelated domain
Safety Factors
Domain age > 7 years (well‑established)
No malicious Indicators of Compromise detected
No credential or payment collection forms present
Domain age information unavailable

Details

Page Title

A Middle School Student Gave Me an Apple Today | Yonkers Times

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news/blog

(100%)

Domain Information

Domain 'yonkerstimes.com' uses the commercial generic top-level domain (.com) while skipping any subdomain. The registrable portion 'yonkerstimes' spans 12 characters with four vowels and eight consonants. Splitting it apart reveals 2 words: yonkers, times. Median word length comes out to 6 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://yonkerstimes.com/a-middle-school-student-gave-me-an-apple-today/

Page Load Overview

7.01s
Total Load Time
188
HTTP Requests
28
Domains
2.3 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:3,958 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog100% confidence
Type: spa
Method: structural

All Detected Categories

news/blog
100%
corporate
70%

Detected Features

Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
54142.250.186.66United States
AS15169GOOGLE
28162.241.219.173Phoenix, Arizona, United States
AS46606UNIFIEDLAYER-AS-1
16172.66.41.9United States
AS13335CLOUDFLARENET
1635.214.168.80Groningen, Groningen, Netherlands
AS15169GOOGLE
1134.111.60.239Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
10142.250.185.99United States
AS15169GOOGLE
6142.250.186.65United States
AS15169GOOGLE
6142.250.185.161United States
AS15169GOOGLE
535.214.213.192Groningen, Groningen, Netherlands
AS15169GOOGLE
434.54.226.84Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
18858--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T199E3FA77A5B8302ADA231168E09D35586F2BA13BCF068ED4F5FCD14C8FC99A9867531C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:+sWH8pY4e21W1tWfXs74fnZ501jfth4+DwCWNNlBmg:lWH8utvtWfXsMfnZ501jfbXDwVgg

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:149786:S49ATRgIHRL7ECAAckE/VCQAi8QABIOoQJiR+Do2sG5dAA2QAUCHJTQxAQyKQAFFJSDOyEjgApYeAZIwIDoUdmEAgKbGMqFI

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:c3ffcfc3fbcbc1c3
Perceptual Hash:e992366d6c693269
Difference Hash:2f1e1c3213121396
Wavelet Hash:81cbcf83b1cbc1c3
Color Hash:#8b79d2

Scan History

Scan history not available

Unable to load historical scan data