Security Scan Report: www.thewrap.com

Site favicon
Submitted: Oct 7, 2025, 7:41:48 PMCompleted: Oct 7, 2025, 7:44:48 PMpubliccompleted
Loading additional data...

Summary

This website contacted 247 IPs in 7 countries across 88 domains to perform 354 HTTP transactions. The main domain is thewrap.com and was registered NaN years ago.

Submitted URL: https://www.thewrap.com/jerry-jones-dallas-cowboys-players-take-knee-monday-night-football/

The Cisco Umbrella rank of the primary domain is #259,166 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

1
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Long‑standing domain registration
Established brand with reputable content
No credential or password collection forms
No malicious Indicators of Compromise
Domain age information unavailable

Details

Bot Protection Detected

This website is protected by captcha bot protection. Our scanner was challenged or blocked during access.

Page Title

Jerry Jones, Dallas Cowboys Players Take Knee Before Monday Night Football - TheWrap

Scan Type

public

Language

🇺🇸

English

(100% confidence)

Category

social media network

(88%)

Domain Information

The domain 'www.thewrap.com' uses the commercial generic top-level domain (.com) with subdomain 'www'. Its registrable label 'thewrap' stretches across 7 characters holding two vowels versus five consonants. Breaking it apart gives two words: the, wrap. Expect 3.5 characters per word on average. Most frequently, 'the' shows up in English. It also appears in Chinese (Pinyin) and Chinese (Zhuyin) contexts.

Screenshot

Security scan screenshot of https://www.thewrap.com/jerry-jones-dallas-cowboys-players-take-knee-monday-night-football/

Page Load Overview

97.51s
Total Load Time
354
HTTP Requests
88
Domains
9.2 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:100%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:100%
Script Type:Latin
HTML Lang Attribute:en-US
Text Length:66,954 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network88% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
88%
entertainment media
71%
news media journalism
68%
documentation technical
66%
adult content
53%

Detected Features

Search
Payment
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
108162.19.138.117Frankfurt am Main, Hesse, Germany
AS16276OVH SAS
1104.18.80.204United States
AS13335CLOUDFLARENET
118.245.64.167United States
AS16509AMAZON-02
1172.64.147.16United States
AS13335CLOUDFLARENET
1104.18.41.104United States
AS13335CLOUDFLARENET
1142.250.186.142United States
AS15169GOOGLE
13.239.232.35Ashburn, Virginia, United States
AS14618AMAZON-AES
152.84.221.63United States
AS16509AMAZON-02
113.32.27.47New York, New York, United States
AS16509AMAZON-02
113.226.244.23United States
AS16509AMAZON-02
354247--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E5B4B471F800293FA63B05C4E349D71A72D6A30FF5D90850D5E643688AE9F78F52E2A7

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:GEKbtTR/GJDnEgN1Srl22goB6RZgypccIa1ddnV7tMz1RNx3hiaqfEKRV7BfEhnf:Gtb50sraoEDg0whixo3VrR1

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:500202:RoJVk1IIoGBUoGpTCKPTNhikQAAWTGrYU9aKImSEABgAQSIgJAqGJQCoRugoQSXU5AIywsURCZgEgDQkCGDh6gFUthAih3yo

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:0018183c3c180000
Perceptual Hash:8c9237e6b3699c43
Difference Hash:0c33b2b2b2b29296
Wavelet Hash:ff0018dbff998181
Color Hash:#7f2dd2

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data