Summary
This website contacted 2 IPs in 2 countries across 2 domains to perform 2 HTTP transactions. The main domain is and was registered NaN years ago.
Submitted URL: https://gogna.mato.it/wx.htm
Effective URL: blob:https://clicheline.com.br/e95b9bc4-f6eb-416b-b28d-752512798297Redirected
AI Security Verdict
Confirmed Scam
Confidence: 95%
Page impersonates Bank of America, harvests credentials and payment data via disguised forms and blob URL – confirmed phishing scam.
Risk Factors
Details
Page Title
Bank of America | Online Banking | Log In | User ID
Scan Type
public
Language
English
Category
finance banking
(78%)Domain Information
You're looking at domain 'gogna.mato.it' on the Italian country-code top-level domain (.it) and includes subdomain 'gogna'. The second-level label 'mato' is 4 characters long split between 2 vowels and 2 consonants. Splitting it apart reveals 1 word: mato. Expect four characters per word on average. No strong language cues emerged from the frequency lists.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 6 | 46.254.34.208 | Rome, Lazio, Italy | AS52030Server Plan S.r.l. |
| 5 | 191.6.211.32 | Brazil | AS27715Locaweb Servicos de Internet SA |
| 11 | 2 | - | - |
Detected Technologies7
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data