Summary
This website contacted 16 IPs in 4 countries across 16 domains to perform 47 HTTP transactions. The main domain is racheltgrahamw.pages.dev and was registered NaN years ago.
Submitted URL: https://racheltgrahamw.pages.dev/ufklz-att-hacked-today-2025-uhdfr
AI Security Verdict
Moderate Risk
Confidence: 75%
Moderate risk article mentioning AT&T on an unranked hosting subdomain; no phishing forms but caution advised.
Risk Factors
Safety Factors
Details
Page Title
At&T Hacked Today 2025 - Rachel T Graham
Scan Type
public
Language
English
Category
government public service
(38%)Domain Information
The domain 'racheltgrahamw.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'racheltgrahamw'. The core label 'pages' covers 5 characters split between two vowels and three consonants. Word splitting yields one word: pages. 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 | 172.67.180.98 | United States | AS13335Cloudflare, Inc. |
| 3 | 188.114.96.3 | United States | AS13335Cloudflare, Inc. |
| 3 | 108.138.7.19 | United States | AS16509Amazon.com, Inc. |
| 3 | 142.251.20.94 | United States | AS15169Google LLC |
| 3 | 172.66.169.241 | United States | AS13335Cloudflare, Inc. |
| 3 | 146.75.122.114 | Frankfurt am Main, Hesse, Germany | AS54113Fastly, Inc. |
| 3 | 23.36.162.203 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 3 | 146.75.122.132 | Frankfurt am Main, Hesse, Germany | AS54113Fastly, Inc. |
| 3 | 146.75.121.140 | Frankfurt am Main, Hesse, Germany | AS54113Fastly, Inc. |
| 3 | 150.171.27.10 | United States | AS8075Microsoft Corporation |
| 56 | 16 | - | - |
Detected Technologies12
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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