Summary
This website contacted 9 IPs in 3 countries across 4 domains to perform 9 HTTP transactions. The main domain is creditosbancovenezuelapersonaass.netlify.app and was registered NaN years ago.
Submitted URL: https://creditosbancovenezuelapersonaass.netlify.app/
AI Security Verdict
High Risk
Confidence: 92%
High‑risk phishing site impersonating Banco de Venezuela to harvest credentials.
Risk Factors
Details
Page Title
BDVenlínea personas
Scan Type
public
Language
Spanish
Category
finance banking
(60%)Domain Information
Domain 'creditosbancovenezuelapersonaass.netlify.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'creditosbancovenezuelapersonaass'. The registrable portion 'netlify' spans 7 characters holding 2 vowels versus 5 consonants. Breaking it apart gives 3 words: net, li, fy. Expect 2 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 |
|---|---|---|---|
| 1 | 216.58.206.42 | United States | AS15169GOOGLE |
| 1 | 142.250.184.195 | United States | AS15169GOOGLE |
| 1 | 63.176.8.218 | Frankfurt am Main, Hesse, Germany | AS16509AMAZON-02 |
| 1 | 66.22.114.4 | São Paulo, São Paulo, Brazil | AS198949Radware Ltd |
| 1 | 2a00:1450:4001:830::2003 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 1 | 2a05:d014:58f:6200::258 | Frankfurt am Main, Hesse, Germany | AS16509AMAZON-02 |
| 1 | 2a00:1450:4001:829::200a | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 1 | 35.157.26.135 | Frankfurt am Main, Hesse, Germany | AS16509AMAZON-02 |
| 1 | 2a05:d014:58f:6200::259 | Frankfurt am Main, Hesse, Germany | AS16509AMAZON-02 |
| 9 | 9 | - | - |
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects 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
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