Summary
This website contacted 3 IPs in 2 countries across 3 domains to perform 2 HTTP transactions. The main domain is texasaflcio.org and was registered NaN years ago.
Submitted URL: https://texasaflcio.org/news/texas-afl-cio-cope-endorses-james-talarico-us-senate-0
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate site; no malicious activity detected.
Safety Factors
Details
Page Title
Texas AFL-CIO COPE Endorses James Talarico for US Senate | Texas AFL-CIO
Scan Type
public
Language
English
Category
government public service
(55%)Domain Information
The domain 'texasaflcio.org' uses the non-profit oriented generic top-level domain (.org). The second-level label 'texasaflcio' is 11 characters long containing 5 vowels alongside six consonants. Word splitting yields three words: texas, afl, cio. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 11 | 23.185.0.3 | United States | AS54113Fastly, Inc. |
| 10 | 184.24.77.144 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 10 | 142.251.20.95 | United States | AS15169Google LLC |
| 31 | 3 | - | - |
Detected Technologies14
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data