Security Scan Report: bellsouth-att-sign-in-ec80c1.webflow.io

Submitted: Feb 15, 2026, 3:59:52 AMCompleted: Feb 15, 2026, 4:01:23 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is bellsouth-att-sign-in-ec80c1.webflow.io and was registered NaN years ago.

Submitted URL: https://bellsouth-att-sign-in-ec80c1.webflow.io/

AI Security Verdict

High Risk

Confidence: 92%

8
Risk Score

Phishing page impersonating AT&T; do not provide credentials.

Risk Factors
Brand impersonation on a non‑official domain
Google Safe Browsing social engineering warning
Unranked domain with brand claim
Domain age information unavailable

Details

Page Title

bellsouth-att-sign-in-ec80c1.webflow.io

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(76%)

Domain Information

Domain 'bellsouth-att-sign-in-ec80c1.webflow.io' uses the British Indian Ocean Territory country-code top-level domain (.io) and includes subdomain 'bellsouth-att-sign-in-ec80c1'. Its registrable label 'webflow' stretches across 7 characters holding 2 vowels versus five consonants. Word splitting yields 2 words: web, flow. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://bellsouth-att-sign-in-ec80c1.webflow.io/

Page Load Overview

8.11s
Total Load Time
1
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:813 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software76% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
76%
documentation technical
53%
adult content
39%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1104.18.36.248United States
11--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T125048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:UfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszW2bMy8Oldo:HhoC9JSqzzbs6o3Sj3gcrsy2eAW

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184586:M1AxlOlQBOMA1UQ0A7wBQKQQUaACCnEQBBAjQyoJSwHBBICCZgKgVButfyZEGKCIGCgCByAiAWaoYyzSoEmGpZqBIR5wA4BI

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:ffcfc3c7ffffffff
Perceptual Hash:b131cccccc633373
Difference Hash:00180c1400000000
Wavelet Hash:ffdfc3cf00000000
Color Hash:#9b40bf

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

Unable to load historical scan data