Security Scan Report: vmnber7tredtghjfghjkj.style

Redirected to: https://ipfs.io/ipfs/bafkreibqw3rm7myz6mmbn5knjj4apjqsc6vjcjkg7duysqppmyxtuzd6ou

Site favicon
Submitted: Dec 2, 2025, 1:43:59 AMCompleted: Dec 2, 2025, 1:44:44 AMpubliccompleted
Loading additional data...

Summary

This website contacted 8 IPs in 4 countries across 4 domains to perform 9 HTTP transactions. The main domain is ipfs.io.

Submitted URL: https://vmnber7tredtghjfghjkj.style/

Effective URL: https://ipfs.io/ipfs/bafkreibqw3rm7myz6mmbn5knjj4apjqsc6vjcjkg7duysqppmyxtuzd6ouRedirected

AI Security Verdict

Confirmed Scam

Confidence: 95%

10
Risk Score

High‑confidence phishing site harvesting Telstra credentials; treat as confirmed scam.

Risk Factors
IPFS‑hosted content containing a password field
Brand impersonation on an unranked, newly created domain
Credential harvesting form (username/password) on suspicious domain
Domain age appears to be 0 days (critical new domain)
No malicious Indicators of Compromise found, but strong phishing indicators present
Domain age information unavailable

Details

Page Title

Sign in

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate business

(80%)

Domain Information

The domain 'vmnber7tredtghjfghjkj.style' uses the .style top-level domain and has no subdomain. The core label 'vmnber7tredtghjfghjkj' covers 21 characters with two vowels and 18 consonants, plus one digit. Breaking it apart gives eleven words: vm, n, ber, 7, t, red, tg, hj, fg, hj, kj. Median word length is 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://vmnber7tredtghjfghjkj.style/

Page Load Overview

3.56s
Total Load Time
9
HTTP Requests
4
Domains
532 KB
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:462 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate business80% confidence
Type: webapp
Method: ml+structural

All Detected Categories

corporate business
80%
government public service
73%
adult content
57%
documentation technical
56%
news media journalism
53%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
554.66.224.79Sydney, New South Wales, Australia
AS16509AMAZON-02
213.237.71.205Sydney, New South Wales, Australia
AS16509AMAZON-02
152.72.49.79Ashburn, Virginia, United States
AS14618AMAZON-AES
1143.244.56.55Paris, Île-de-France, France
AS60068Datacamp Limited
152.64.199.67Sydney, New South Wales, Australia
AS16509AMAZON-02
1209.94.90.1United States
AS40680PROTOCOL
12400:52e0:1e00:2::1329:1Germany
AS60068Datacamp Limited
12602:fea2:2::1United States
AS40680PROTOCOL
98--

Detected Technologies1

40%

Content Similarity HashesFor malware variant detection

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