Security Scan Report: 2354573435254.vercel.app

Redirected to:
https://3778367267262.netlify.app/
Submitted: Oct 15, 2025, 8:38:24 AMCompleted: Oct 15, 2025, 8:41:30 AMpubliccompleted
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Summary

This website contacted 17 IPs in 2 countries across 4 domains to perform 11 HTTP transactions. The main domain is 3778367267262.netlify.app and was registered NaN years ago.

Submitted URL: https://2354573435254.vercel.app/

Effective URL: https://3778367267262.netlify.app/Redirected

AI Security Verdict

High Risk

Confidence: 92%

7
Risk Score

Phishing site impersonating e‑BISA+; do not enter credentials.

Risk Factors
Credential harvesting form (password only)
Hidden password field
Brand impersonation on non‑official domain
Use of generic hosting (netlify.app) for a banking‑related login page
Unranked domain in Cisco Umbrella
Domain age information unavailable

Details

Page Title

Bisa

Scan Type

public

Language

🇪🇸

Spanish

(80% confidence)

Category

finance banking

(39%)

Domain Information

Within the application-focused generic top-level domain (.app), '2354573435254.vercel.app' is registered and includes subdomain '2354573435254'. Its registrable label 'vercel' stretches across 6 characters split between two vowels and 4 consonants. Tokenizing the label suggests two words: ver, cel. Median word length comes out to three characters. 'ver' is most common in Portuguese usage. Secondary signals appear in Portuguese (Brazil) and Galician. Net impression: Portuguese phrase.

Screenshot

Security scan screenshot of https://2354573435254.vercel.app/

Page Load Overview

0.32s
Total Load Time
11
HTTP Requests
4
Domains
390 KB
Total Size

Language Analysis

Primary Language

🇪🇸Spanish
Code: es
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:es
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:es
Text Length:89 chars
Detector Agreement:100%

Website Classification

Primary Category

finance banking39% confidence
Type: static
Method: ml+structural

All Detected Categories

finance banking
39%
adult content
35%
social media network
33%
cryptocurrency blockchain
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
763.176.8.218Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
264.29.17.195United States
AS16509AMAZON-02
123.36.162.155Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1151.101.194.137San Francisco, California, United States
AS54113FASTLY
0216.198.79.3United States
AS16509AMAZON-02
035.157.26.135Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
0151.101.2.137San Francisco, California, United States
AS54113FASTLY
023.36.162.143Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
064.29.17.3United States
AS16509AMAZON-02
02a05:d014:58f:6200::258Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
1117--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T187F1661B68E310526903B0B83FFBA60935A2E507C349CC543EDD639C8F86A588D677D9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:UrOjtUKAV+5ASoowZUeJjSC9W9P//7sImgiRnhar:UrO2KAeWGCe9whRn0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7844:COQ1AEKJuNE0KloARYoiktulA4AEUYgGAeBAopQAY4DBoQiAMEUDMQD4RB4UqQkgGCAgDASgJBDMaQBUEGknwVT8QAI1BSey

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:00f3f3f3f3ffffff
Perceptual Hash:ec6c1b1b1b131b1b
Difference Hash:3626666666190600
Wavelet Hash:0030303030303c3c
Color Hash:#6640bf

Scan History

Scan history not available

Unable to load historical scan data