Summary
This website contacted 13 IPs in 3 countries across 14 domains to perform 1 HTTP transaction. The main domain is deannamkenneys.pages.dev and was registered NaN years ago.
Submitted URL: https://deannamkenneys.pages.dev/oqblq-att-pebble-beach-pro-am-2025-tee-times-moawh/
AI Security Verdict
High Risk
Confidence: 75%
Site mimics AT&T brand on an unranked domain; likely phishing attempt.
Risk Factors
Details
Page Title
At&T Pebble Beach Pro Am 2025 Tee Times - Deanna M Kenney
Scan Type
public
Language
English
Category
entertainment media
(64%)Domain Information
The domain 'deannamkenneys.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'deannamkenneys'. Its registrable label 'pages' stretches across 5 characters split between 2 vowels and three consonants. Splitting it apart reveals one word: pages. Average segment length settles at 5 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 |
|---|---|---|---|
| 9 | 212.111.43.64 | London, England, United Kingdom | AS63949Akamai Connected Cloud |
| 3 | 188.114.96.3 | United States | AS13335CLOUDFLARENET |
| 3 | 172.67.180.98 | United States | AS13335CLOUDFLARENET |
| 3 | 54.192.35.28 | United States | AS16509AMAZON-02 |
| 3 | 146.75.122.62 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 3 | 104.18.34.241 | Unknown | |
| 3 | 23.185.0.4 | United States | AS54113FASTLY |
| 3 | 160.153.0.151 | United States | AS209242Cloudflare London, LLC |
| 3 | 172.66.169.241 | United States | AS13335CLOUDFLARENET |
| 3 | 192.0.77.2 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 45 | 13 | - | - |
Detected Technologies11
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects 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
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