Security Scan Report: bellsouth-att-sign-in-84702f.webflow.io

Submitted: Dec 19, 2025, 12:53:58 PMCompleted: Dec 19, 2025, 12:54:01 PMpubliccompleted
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Summary

This website contacted 0 IPs in 0 countries across 0 domains to perform 0 HTTP transactions. The main domain is bellsouth-att-sign-in-84702f.webflow.io and was registered NaN years ago.

Submitted URL: https://bellsouth-att-sign-in-84702f.webflow.io/

AI Security Verdict

High Risk

Confidence: 92%

8
Risk Score

Phishing page impersonating BellSouth/AT&T; avoid and report.

Risk Factors
Brand impersonation on a non‑official domain
Social engineering warning from Google Safe Browsing
Unranked domain claiming a well‑known telecom brand
Misleading login page without proper authentication infrastructure
Domain age information unavailable

Details

Page Title

bellsouth att sign in

Scan Type

public

Language

🇺🇸

English

(71% confidence)

Category

documentation technical

(30%)

Domain Information

Within the British Indian Ocean Territory country-code top-level domain (.io), 'bellsouth-att-sign-in-84702f.webflow.io' is registered, featuring subdomain 'bellsouth-att-sign-in-84702f'. Count 7 characters in 'webflow' split between two vowels and five consonants. Splitting it apart reveals two words: web, flow. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://bellsouth-att-sign-in-84702f.webflow.io/

Page Load Overview

0.82s
Total Load Time
0
HTTP Requests
0
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:71%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:71%
Script Type:Latin
Text Length:608 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical30% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
30%
government public service
25%

Detected Features

No structural features detected

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16E81B523602A845A520708F4F790738C7143C36ECE525440F5FE8ABD63ACCD5BE6EAE9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:w+2PvnLTwAjig6jDvKBteb+82WQRI7GQON1r:P2P/3wAJWKm+rWQRI7GQON1r

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3899:GgAECAAiCAQBMABEkgEANAYggAhAgAAAAAQAEIMJEJAAQgUCEAAASMAAAAAABBUA6gAAIAAAgrBACDAAxBhIAnABAWQDQCgM

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

Average Hash:7f7fff7f000000fe
Perceptual Hash:a288dd23d408f67f
Difference Hash:c0c088b04c0d1300
Wavelet Hash:7f7f7f0f000000fe
Color Hash:#3a7859

Other Hashes

Crop Resistant:c0c088b04c0d1300

Scan History

Scan history not available

Unable to load historical scan data