Summary
This website contacted 39 IPs in 6 countries across 17 domains to perform 55 HTTP transactions. The main domain is susanhayashig.pages.dev.
Submitted URL: https://susanhayashig.pages.dev/nast-att-hacked-today-2025-ijzal/
AI Security Verdict
High Risk
Confidence: 88%
Impersonates AT&T on a new, unranked domain – high‑risk phishing site.
Risk Factors
Details
Page Title
At&T Hacked Today 2025 - Susan Hayashi G.
Scan Type
public
Language
English
Category
government public service
(36%)Domain Information
You're looking at domain 'susanhayashig.pages.dev' on the developer-focused generic top-level domain (.dev), featuring subdomain 'susanhayashig'. Its registrable label 'pages' stretches across 5 characters containing two vowels alongside 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 |
|---|---|---|---|
| 17 | 2.20.142.96 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 172.66.47.117 | United States | AS13335CLOUDFLARENET |
| 1 | 199.232.174.132 | Stockholm, Stockholm County, Sweden | AS54113FASTLY |
| 1 | 199.232.173.140 | Stockholm, Stockholm County, Sweden | AS54113FASTLY |
| 1 | 8.47.69.0 | United States | AS13335CLOUDFLARENET |
| 1 | 104.21.11.140 | United States | AS13335CLOUDFLARENET |
| 1 | 216.58.209.202 | United States | AS15169GOOGLE |
| 1 | 92.113.16.91 | Frankfurt am Main, Hesse, Germany | AS47583Hostinger International Limited |
| 1 | 142.251.38.67 | United States | AS15169GOOGLE |
| 1 | 199.232.174.114 | Stockholm, Stockholm County, Sweden | AS54113FASTLY |
| 55 | 39 | - | - |
Detected Technologies8
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
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