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

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Submitted: Feb 11, 2026, 1:01:12 PMCompleted: Feb 11, 2026, 1:02:41 PMpubliccompleted
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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 login page impersonating BellSouth/AT&T; do not enter credentials.

Risk Factors
Brand impersonation on a non‑official domain
Credential harvesting login form
Social engineering detection by Google Safe Browsing
Unranked domain with low reputation
Site unreachable error (ERR_TUNNEL_CONNECTION_FAILED)
Domain age information unavailable

Details

Page Title

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

Scan Type

public

Language

🇺🇸

English

(71% confidence)

Category

documentation technical

(30%)

Domain Information

You're looking at domain 'bellsouth-att-sign-in-ec80c1.webflow.io' on the British Indian Ocean Territory country-code top-level domain (.io) with subdomain 'bellsouth-att-sign-in-ec80c1'. Count 7 characters in 'webflow' split between two vowels and five consonants. Segmentation suggests 2 words: web, flow. Expect 3.5 characters per word on average. 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

13.30s
Total Load Time
17
HTTP Requests
4
Domains
12 KB
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

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
17104.18.36.248United States
171--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T176048E77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:UfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszS2bMy8Oldo:HhoC9JSqzzbs6o3Sj3gcrsO2eAW

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184586:WjMBILgEkRCAlJIIlkoqCJD7ASwYmMMICxJOAghPApkhB4GC6KoiBH5AMAHNSACACii4AawipLBGAkRwCSEnIIMNEiSRVhBg

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:#38931f

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

Unable to load historical scan data