Security Scan Report: wrestlingheadlines.com

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Submitted: Oct 9, 2025, 2:37:47 AMCompleted: Oct 9, 2025, 2:38:44 AMpubliccompleted
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Summary

This website contacted 183 IPs in 5 countries across 51 domains to perform 214 HTTP transactions. The main domain is wrestlingheadlines.com and was registered NaN years ago.

Submitted URL: https://wrestlingheadlines.com/roman-reigns-admits-hes-not-feeling-well-heading-into-wwe-crown-jewel-i-feel-like-crap-it-is-what-it-is/

The Cisco Umbrella rank of the primary domain is #868,821 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

Legitimate wrestling news site with no security concerns.

Safety Factors
Established domain registered since 2001
Only standard search forms present
Content is typical news article without credential collection
Domain age information unavailable

Details

Page Title

Roman Reigns Admits He's Not Feeling Well Heading Into WWE Crown Jewel: "I Feel Like Crap ... It Is What It Is..."

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(92%)

Domain Information

The domain name 'wrestlingheadlines.com' uses the commercial generic top-level domain (.com) without a subdomain. Count 18 characters in 'wrestlingheadlines' holding six vowels versus twelve consonants. Splitting it apart reveals 2 words: wrestling, headlines. Average segment length settles at 9 characters. 'wrestling' most strongly signals English. You may catch it in Chinese (Pinyin) and Danish as well. Overall, 'wrestlingheadlines.com' reads as English.

Screenshot

Security scan screenshot of https://wrestlingheadlines.com/roman-reigns-admits-hes-not-feeling-well-heading-into-wwe-crown-jewel-i-feel-like-crap-it-is-what-it-is/

Page Load Overview

14.58s
Total Load Time
214
HTTP Requests
51
Domains
3.9 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:7,641 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network92% confidence
Type: spa
Method: ml+structural

All Detected Categories

social media network
92%
entertainment media
83%
adult content
68%
news/blog
50%
news media journalism
50%

Detected Features

Articles
Comments
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
323.171.214.105United States
AS16509AMAZON-02
1142.250.185.206United States
AS15169GOOGLE
123.55.161.53Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1142.250.186.98United States
AS15169GOOGLE
191.121.38.152France
AS16276OVH SAS
1146.75.122.49Frankfurt am Main, Hesse, Germany
AS54113FASTLY
113.32.27.78New York, New York, United States
AS16509AMAZON-02
13.171.214.73United States
AS16509AMAZON-02
1185.111.111.155Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
191.239.200.95Czech Republic
AS60606PRO-ZETA a.s.
214183--

Detected Technologies11

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T184346DF26D28243B4A6752A474AF330DBAB19217DB495870F6BD86AC9FC4DC204B371D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:KMKCIf3wu9hb2IIXzXahK79hoeDD44ofwZTXF3ft17CKgs9rw6me0:hKb3z2xXXnDD44MKg6mn

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:238522:CjIpknQC0gAEUIYAm4JHSK4miXAgREayIgwM0ABiQBa0iEiqEHVAUEBBEAhPhiCcQsKgIpBYKhRkUATJFKQBAGBMATaHH5Jc

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:0000183c3c183c3c
Perceptual Hash:8a616663cb93cdc3
Difference Hash:cd053171f1f1cdf1
Wavelet Hash:21003c3c3d3d7d3d
Color Hash:#87abc5

Scan History

Scan history not available

Unable to load historical scan data