Security Scan Report: secursalf-a.vercel.app

Submitted: Completed: publiccompleted
This website contacted 6 IPs in 2 countries across 5 domains to perform 13 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://secursalf-a.vercel.app/

AI Security Verdict

High Risk

Confidence: 78%

8
Risk Score

Page impersonates Banco de Bogotá/Seguros Alfa on a free vercel.app subdomain, pushing an insurance-cancellation/'registration' flow and using a Telegram API channel typical of phishing kits. No form on this page, but brand impersonation drives high risk.

Risk Factors (3)
Impersonation of Banco de Bogotá / Seguros Alfa brand on a domain that is not theirs
Telegram Bot API used as a script-driven data channel on a bank-themed page
Free hosting subdomain with unknown, unattributable creation date
Domain age information unavailable

Details

Page Title

Servicios

Scan Type

public

Domain Name Analysis

The domain name 'secursalf-a.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'secursalf-a'. The second-level label 'vercel' is 6 characters long split between two vowels and four consonants. It segments into two words: ver, cel. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://secursalf-a.vercel.app/

Page Load Overview

0.50s
Total Load Time
308 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:es
Text Length:957 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service62% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
62%
finance banking
47%
technology software
34%
healthcare medical
32%
adult content
31%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
364.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
2142.251.14.95Google · CDNUnited States
AS15169Google LLC
2142.251.20.95Google · CDNUnited States
AS15169Google LLC
2142.251.14.94Google · CDNUnited States
AS15169Google LLC
2149.154.166.110Amsterdam, North Holland, Netherlands
AS62041Telegram Messenger Inc
2216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
136--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C5F11E2A59F2546B244394587FF7BA5B2E95D103830ACE643B6C26A88F859C6C8B334C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:b/AZbE40tB2TV4E7T3T61NnWwrlNXlV7p/X0FA1u:DAZb4ApT3Tcbpjf0FA1u

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7482:ABhhhcELExGxYMAAAdBAFCp0DDABQLAkUpAEnMQSUQwBsZgIJzAoAwBuABAEAmQwoihAouQDQEoxwgqBOSYi5sWCAoOSoaic

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:ffffff0e0e0e0f9f
Perceptual Hash:95e2ee119811ceee
Difference Hash:042e38da9ada1e27
Wavelet Hash:fe839f0e0e0e029f
Color Hash:#d22d88

Scan History

Scan history not available

Unable to load historical scan data