Security Scan Report: en.wikipedia.org

Submitted: Oct 2, 2025, 6:44:48 AMCompleted: Oct 2, 2025, 6:46:08 AMpubliccompleted
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Summary

This website contacted 4 IPs in 1 country across 4 domains to perform 54 HTTP transactions. The main domain is en.wikipedia.org.

Submitted URL: https://en.wikipedia.org/wiki/Josh_Naylor

The Cisco Umbrella rank of the primary domain is #2,354 of the top 1 million websitesTop 10K Site

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The page is a legitimate Wikipedia article with no security concerns.

Safety Factors
Well‑known reputable domain en.wikipedia.org
No suspicious forms or redirects
No Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

Josh Naylor - Wikipedia

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(70%)

Screenshot

Security scan screenshot of https://en.wikipedia.org/wiki/Josh_Naylor

Page Load Overview

15.40s
Total Load Time
54
HTTP Requests
4
Domains
883 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:27,232 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate70% confidence
Type: webapp
Method: structural

All Detected Categories

corporate
70%
news/blog
40%
forum
40%

Detected Features

Search
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
15185.15.59.224United States
AS14907WIKIMEDIA
13185.15.59.240United States
AS14907WIKIMEDIA
132a02:ec80:300:ed1a::1United States
AS14907WIKIMEDIA
132a02:ec80:300:ed1a::2:bUnited States
AS14907WIKIMEDIA
544--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F29418D2F690263F07338BF5B059B75EB32154C2F65217A0B1690AA587C2DA3F637827

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:i8a2eFgvAfHNNeJ8hvbaXKX61eWnQuQnMQLYLaAKYmxPvqfjcHp9YtWgnDqL2Voc:3Ttp+s

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:440618:HJCFg7ExScBIAbQiCSGhQFXDglitRkoAAAgDGKJYHIDvFQ0lVMGiIIpAAgACAQRiCJAALAk2qTjlCQhjc5JIkQJIQ0IAQokm

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:fffbf3f3f3f3d3d3
Perceptual Hash:edc39293c312c76c
Difference Hash:68b616169696b6b6
Wavelet Hash:9ec383c3c3c3c3c3
Color Hash:#4b783a

Scan History

Scan history not available

Unable to load historical scan data