Summary
This website contacted 9 IPs in 2 countries across 10 domains to perform 1 HTTP transaction. The main domain is mmtechonline.com and was registered NaN years ago.
Submitted URL: https://mmtechonline.com/2070444/att-changes-2026-every-customer-needs-know-about/
AI Security Verdict
Safe Website
Confidence: 92%
Informational article on a well‑established site; no security threats detected.
Safety Factors
Details
Page Title
AT&T Has Some Changes Coming In 2026 That Customers Need To Know About
Scan Type
public
Language
English
Category
news/blog
(50%)Domain Information
Within the commercial generic top-level domain (.com), 'mmtechonline.com' is registered without a subdomain. The second-level label 'mmtechonline' is 12 characters long holding four vowels versus 8 consonants. Tokenizing the label suggests three words: mm, tech, online. Average segment length settles at four 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 |
|---|---|---|---|
| 13 | 104.21.37.193 | France | |
| 12 | 172.217.20.136 | United States | AS15169GOOGLE |
| 12 | 104.19.219.32 | United States | AS13335CLOUDFLARENET |
| 12 | 172.66.171.133 | United States | AS13335CLOUDFLARENET |
| 12 | 13.219.212.118 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 12 | 52.222.136.114 | United States | AS16509AMAZON-02 |
| 12 | 18.66.112.36 | United States | AS16509AMAZON-02 |
| 12 | 49.51.230.178 | Santa Clara, California, United States | AS132203Tencent Building, Kejizhongyi Avenue |
| 12 | 50.6.109.118 | Ashburn, Virginia, United States | AS31898ORACLE-BMC-31898 |
| 109 | 9 | - | - |
Detected Technologies15
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
Unable to load historical scan data