Security Scan Report: archives.infowars.com

Bot Protection Detected

This website is protected by Cloudflare bot protection. The screenshot and page details below show the page as it was captured.

Site favicon
Submitted: Completed: publiccompleted
This website contacted 23 IPs in 3 countries across 2 domains to perform 10 HTTP transactions. The main domain is infowars.com and was registered 27 years ago.

Submitted URL: https://archives.infowars.com/about-alex-jones/

The Cisco Umbrella rank of the primary domain is #148,760 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 88%

0
Risk Score

Official self-branded Infowars biography page on its own 27-year-old domain. No credential/payment forms, no impersonation, no threat-intel, YARA or IDS hits. The scanner block was ordinary bot protection.

Safety Factors (5)
Established domain (27 years old, well-established risk category)
No threat-intelligence matches against the page or its loaded resources
No JavaScript malware patterns or known malicious kits detected
No credential or payment forms; the only data-collecting form is an email newsletter signup
Self-branded content matching its own domain, with no brand impersonation
Domain age information unavailable

Details

Page Title

About Alex Jonesother network

Scan Type

public

Domain Name Analysis

Within the commercial generic top-level domain (.com), 'archives.infowars.com' is registered, featuring subdomain 'archives'. Count 8 characters in 'infowars' holding 3 vowels versus 5 consonants. Breaking it apart gives two words: info, wars. The median word length lands at four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://archives.infowars.com/about-alex-jones/

Page Load Overview

0.84s
Total Load Time
996 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en-us
Text Length:396 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software79% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
79%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10188.114.96.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0104.17.111.223Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0142.251.20.97Google · CDNUnited States
AS15169Google LLC
0184.24.77.165Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
0142.251.13.95Google · CDNUnited States
AS15169Google LLC
0188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0173.226.180.136Austin, Texas, United States
AS3549Level 3 Parent, LLC
0104.16.79.73Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0142.251.14.138Google · CDNUnited States
AS15169Google LLC
1023--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11AF309E2AC8910375393619DF466EB05A3639111EF05CE61B7FCC1A89F85F8648F36CA

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:5TWWA5BRCHm9RK6fZ6WcdEqIQ4TmTPG2wk4bUiBikiLikPKjJ7NQ5W8pz74pvCKu:ls5BRCDG01iBikiLiOKjnkWtBwe6th5N

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:161610:QUJUobahDOqQegCeCwJCASs0AgVNZYRBAIIeQNbKIJBGEAQTIhgTQgDSwRYTd0QDCIwKRgFgUYKErKJvR5nOIHUALAYAhABU

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:007c7e7e7e7e7e7e
Perceptual Hash:c06e6b6b3a6b3232
Difference Hash:c8d0d4d8d8d0d0d4
Wavelet Hash:00307c7e7c7c787c
Color Hash:#d0e06c

Scan History

Scan history not available

Unable to load historical scan data