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Security Scan Report: bellsouth-att-sign-in-c9cb53.webflow.io

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Submitted: Dec 11, 2025, 1:52:40 AMCompleted: Dec 11, 2025, 1:52:55 AMpubliccompleted
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Summary

This website contacted 16 IPs in 1 country across 4 domains to perform 17 HTTP transactions. The main domain is bellsouth-att-sign-in-c9cb53.webflow.io.

Submitted URL: https://bellsouth-att-sign-in-c9cb53.webflow.io/

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

Site likely a phishing page collecting login credentials for BellSouth/AT&T.

Risk Factors
Credential‑harvesting login form on a newly registered, unranked domain
Brand impersonation of BellSouth/AT&T on a non‑official Webflow subdomain
Lack of any Indicators of Compromise matches does not mitigate phishing risk
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-c9cb53.webflow.io' is registered with subdomain 'bellsouth-att-sign-in-c9cb53'. Count 7 characters in 'webflow' with 2 vowels and five consonants. Tokenizing the label suggests 2 words: web, flow. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://bellsouth-att-sign-in-c9cb53.webflow.io/

Page Load Overview

2.01s
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
2104.18.161.117United States
AS13335CLOUDFLARENET
1172.64.151.8United States
AS13335CLOUDFLARENET
113.226.247.220United States
AS16509AMAZON-02
1104.18.95.41United States
AS13335CLOUDFLARENET
113.226.247.129United States
AS16509AMAZON-02
1104.18.94.41United States
AS13335CLOUDFLARENET
1104.18.160.117United States
AS13335CLOUDFLARENET
12a06:98c1:3100::6812:24f8United States
AS13335CLOUDFLARENET
12606:4700::6812:5f29United States
AS13335CLOUDFLARENET
12606:4700::6812:5e29United States
AS13335CLOUDFLARENET
1716--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17781B7639429845E53030CF4FB80728D618392AECE459480E9F95A7D63F8CD5A929EDD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:wpPQVLTwmSgIzDvKTner+y2WQRI97hON1r:SP43wmN0K0+tWQRI97hON1r

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3914:CgIECBImqAABAAAMCgAANAYhAAkU0lwgAAQCEAEAELAAA5QQAA5ACZyAIBAEBAQACAAAIEAhgJAACBAgRBABAiABEFQAACgM

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:N/A
Perceptual Hash:N/A
Difference Hash:N/A
Wavelet Hash:N/A
Color Hash:N/A

Other Hashes

Crop Resistant:N/A

Scan History

Scan history not available

Unable to load historical scan data