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Security Scan Report: crooked.com

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Submitted: Nov 4, 2025, 1:57:31 AMCompleted: Nov 4, 2025, 1:58:56 AMpubliccompleted
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Summary

This website contacted 74 IPs in 2 countries across 25 domains to perform 108 HTTP transactions. The main domain is crooked.com and was registered NaN years ago.

Submitted URL: https://crooked.com/podcast/laura-loomers-rise-to-the-top/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The page is a legitimate Crooked Media podcast page with no security concerns.

Safety Factors
Well‑established domain (over 29 years old)
No malicious Indicators of Compromise matches found
No password or payment fields present
Only a standard newsletter email subscription form
Domain age information unavailable

Details

Page Title

Laura Loomer's Rise To The Top | Crooked Media

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(51%)

Domain Information

You're looking at domain 'crooked.com' on the commercial generic top-level domain (.com) without a subdomain. The second-level label 'crooked' is 7 characters long split between three vowels and four consonants. Tokenizing the label suggests 1 word: crooked. The linguistic tilt is English for 'crooked'. It also appears in Sinhala and Chinese (Pinyin) contexts.

Screenshot

Security scan screenshot of https://crooked.com/podcast/laura-loomers-rise-to-the-top/

Page Load Overview

27.63s
Total Load Time
108
HTTP Requests
25
Domains
3.4 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
Text Length:24,820 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service51% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
51%
social media network
49%
news media journalism
31%
adult content
29%
news/blog
20%

Detected Features

Search
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3518.213.70.141Ashburn, Virginia, United States
AS14618AMAZON-AES
1216.239.32.36United States
AS15169GOOGLE
1162.247.243.39United States
AS54113FASTLY
1104.20.46.41United States
AS13335CLOUDFLARENET
12.20.245.170Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1184.24.77.156Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
152.5.199.22Ashburn, Virginia, United States
AS14618AMAZON-AES
1162.247.241.14United States
AS23467NEWRELIC-AS-1
13.212.41.59Ashburn, Virginia, United States
AS14618AMAZON-AES
118.66.122.37United States
AS16509AMAZON-02
10874--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E0247CA264F15577035782E6F07B7A89E3129016F581E96073FD91E89F87CA23037BAC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:zEyhMKVUvgIlRqOq4PwD5rS0LzROZtnkMNfDtLjB:w1lRuOK5rS0pOZtn7N7djB

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:224312:QAiSwmaAGQGQVBsQZAUOAJREVAgZMZHIIwQRKcDAYDgAiiEHKEmJADGYkOIVCfCRQIViNqAguoARJI3NIBMCMIlGIsoiHAC4

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:fffdf1f3e3a30000
Perceptual Hash:eaca5ab5b4168ee0
Difference Hash:ac89a9271657e807
Wavelet Hash:fffdc1f3c3930000
Color Hash:#bf6640

Other Hashes

Crop Resistant:8ce989a56d861655,2663d9d999a1e9a9,9e96b1b598909a9a,a8ac47ca4367b2b2,4909246c2727b7b7,5755798688802121

Scan History

Scan history not available

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