Security Scan Report: www.dailywire.com

Submitted: May 22, 2026, 10:48:51 AMCompleted: May 22, 2026, 10:50:10 AMpubliccompleted
Loading additional data...

Summary

This website contacted 38 IPs in 5 countries across 44 domains to perform 102 HTTP transactions. The main domain is dailywire.com and was registered NaN years ago.

Submitted URL: https://www.dailywire.com/news/caitlin-clark-breaks-record-for-jersey-sales

The Cisco Umbrella rank of the primary domain is #61,193 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

AI analysis skipped: Low-risk scan (score=23) on well-ranked domain #61,193.

Safety Factors
Well-established domain (ranked #61,193)
No forms or interactive credential elements
No IoC, YARA, or IDS alerts
Domain age information unavailable

Details

Primary Scan Blocked — Fallback Capture Shown

The primary scanner could not load this page (possible bot protection). The screenshot and page details shown were captured by a fallback browser that loaded the page successfully.

Page Title

Caitlin Clark Breaks Record For Jersey Sales

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(80%)

Domain Information

The domain name 'www.dailywire.com' uses the commercial generic top-level domain (.com) with subdomain 'www'. The core label 'dailywire' covers 9 characters with four vowels and 5 consonants. It segments into 2 words: daily, wire. Average segment length settles at 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.dailywire.com/news/caitlin-clark-breaks-record-for-jersey-sales

Page Load Overview

10.08s
Total Load Time
9
HTTP Requests
2
Domains
0 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-US
Text Length:388 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software80% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
80%
news media journalism
28%
documentation technical
25%
news
15%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9104.18.41.30United States
AS13335Cloudflare, Inc.
052.50.23.89Dublin, Leinster, Ireland
AS16509Amazon.com, Inc.
0178.250.1.12France
AS44788Criteo Technology SAS
0104.18.38.33United States
AS13335Cloudflare, Inc.
02.22.50.125Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
0184.24.77.156Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
0157.240.0.174Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
0146.75.122.208Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
023.207.210.74Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
091.228.74.200United Kingdom
AS16509Amazon.com, Inc.
938--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1ED147C73978022789923C7D0EE78A70CB21690E7DED689DCF9EE5914C3CAAD109735C9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:iUtokt/jN4GzTUUVvjUrkS2M78g+dyG+VXX0gc0FwIcL90o1Wv+TcHjc6R6UbE8X:jtnvdGNG8DgK08Z

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:207155:AcYTEAEAAFWvERUCDwAQs4bDBMBCcEIqkByJA0PIIKIsBAQhhkeCoA1NNRARpGiii0kEgpyi0AIJRQgCgACqTCeuRARDIEZd

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:00ffffffffc3c3c3
Perceptual Hash:b1ce71344f31661b
Difference Hash:8e00300e0696969e
Wavelet Hash:00fefec3c2c2c3c2
Color Hash:#3a7078

Scan History

Scan history not available

Unable to load historical scan data