Security Scan Report: lol-zeta-one.vercel.app

Redirected to:
https://lol-zeta-one.vercel.app/
Submitted: Completed: publiccompleted
This website contacted 5 IPs in 2 countries across 2 domains to perform 4 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: http://lol-zeta-one.vercel.app/

Effective URL:
https://lol-zeta-one.vercel.app/
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 97%

10
Risk Score

Phishing page impersonating Bank of America's Spanish online banking login on a free vercel.app subdomain; collects banking credentials and ships them to Telegram. Safe Browsing flags social engineering.

Risk Factors (6)
Impersonation of Bank of America (brand, Spanish login flow, FDIC/Merrill Lynch legal disclaimers) on a non-Bank-of-America domain
Credential-harvesting login form with password field on the page
Telegram bot exfiltration channel present in an inline script
Google Safe Browsing Social Engineering detection
Anonymous shared-hosting subdomain (vercel.app) with unknown creation date
Network IDS alerts: HIGH ET DNS Query for .cc TLD, plus vercel.app abused-service hits
Domain age information unavailable

Details

Page Title

Iniciar sesión en la Banca en Línea

Scan Type

public

Domain Name Analysis

You're looking at domain 'lol-zeta-one.vercel.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'lol-zeta-one'. Count 6 characters in 'vercel' with two vowels and four consonants. Breaking it apart gives two words: ver, cel. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://lol-zeta-one.vercel.app/

Page Load Overview

2.51s
Total Load Time
45 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:es
Text Length:3,438 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: webapp
Method: structural

All Detected Categories

No categories detected

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
464.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0195.154.239.25Paris, Île-de-France, France
AS12876Scaleway SAS
0216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
064.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0195.154.239.26Paris, Île-de-France, France
AS12876Scaleway SAS
45--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15AC2F99756F31512A44390A52BE7BB0362299457F04ACD283F9D8394CFC9EC4EE23B9C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:ADQFupikNXFLe0rB7aV6HDypxGyqac79Vhfbs6U0z:YQFupiOXFLNt7aV6H+xGyIs6B

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:27395:YApBCACAGSy1g4AhqgHsASD8WQBhUQMQAAIKRoEGkAGgEJJIlnrgREkgoIQh6Q9kEAXAYHJSEIAUBhQEgDNQaoeFwlICCAVs

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:7fe7e7ffe7e7e781
Perceptual Hash:b3cd0ca330c97c73
Difference Hash:92cc4c5a4d0c4c06
Wavelet Hash:0066e6eec7c7e700
Color Hash:#763a78

Other Hashes

Crop Resistant:92cc4c5a4d0c4c06

Scan History

Scan history not available

Unable to load historical scan data