Summary
This website contacted 3 IPs in 1 country across 3 domains to perform 1 HTTP transaction. The main domain is bellsouth-att-sign-in-d48a69.webflow.io and was registered NaN years ago.
Submitted URL: https://bellsouth-att-sign-in-d48a69.webflow.io/
AI Security Verdict
Confirmed Scam
Confidence: 92%
Phishing login page impersonating BellSouth; high risk – do not enter credentials.
Risk Factors
Details
Page Title
Bellsouth att Sign in
Scan Type
public
Language
English
Category
unknown
(0%)Domain Information
You're looking at domain 'bellsouth-att-sign-in-d48a69.webflow.io' on the British Indian Ocean Territory country-code top-level domain (.io); it also runs on subdomain 'bellsouth-att-sign-in-d48a69'. The second-level label 'webflow' is 7 characters long with 2 vowels and 5 consonants. Breaking it apart gives two words: web, flow. Average segment length settles at 3.5 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 |
|---|---|---|---|
| 6 | 13.226.247.129 | United States | |
| 6 | 104.18.161.117 | United States | AS13335Cloudflare, Inc. |
| 6 | 172.64.151.8 | United States | Unknown |
| 18 | 3 | - | - |
Detected Technologies7
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