Summary
API
This website contacted 16 IPs in 4 countries across 17 domains to perform 55 HTTP transactions. The main domain is racheltgrahamw.pages.dev and was registered 6 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 (3)
Safety Factors (4)
Details
Page Title
At&T Hacked Today 2025 - Rachel T Grahamother network
Scan Type
public
Domain Name Analysis
Within the developer-focused generic top-level domain (.dev), 'racheltgrahamw.pages.dev' is registered; it also runs on subdomain 'racheltgrahamw'. The core label 'pages' covers 5 characters containing two vowels alongside 3 consonants. Word splitting yields 1 word: pages. Average segment length settles at five 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 |
|---|---|---|---|
| 10 | 194.147.142.68 | Iran | AS60631Vandad Vira Hooman LLC |
| 3 | 172.67.69.230 | United States | AS13335Cloudflare, Inc. |
| 3 | 146.75.121.140 | Frankfurt am Main, Hesse, Germany | AS54113Fastly, Inc. |
| 3 | 142.251.110.94 | United States | AS15169Google LLC |
| 3 | 146.75.122.132 | Frankfurt am Main, Hesse, Germany | AS54113Fastly, Inc. |
| 3 | 188.114.96.3 | United States | AS13335Cloudflare, Inc. |
| 3 | 172.67.180.98 | United States | AS13335Cloudflare, Inc. |
| 3 | 104.20.23.96 | United States | AS13335Cloudflare, Inc. |
| 3 | 23.36.162.203 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 3 | 146.75.122.114 | Frankfurt am Main, Hesse, Germany | AS54113Fastly, Inc. |
| 55 | 16 | - | - |
Detected Technologies5
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