Security Scan Report: aumento-en-linea.vercel.app

Submitted: Completed: publiccompleted
This website contacted 10 IPs in 1 country across 6 domains to perform 13 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://aumento-en-linea.vercel.app/

AI Security Verdict

High Risk

Confidence: 88%

8
Risk Score

Page claims to be Banco Pichincha's credit portal on a non-official vercel.app subdomain; Safe Browsing social-engineering detection and phishing threat intel confirm brand impersonation. Avoid.

Risk Factors (5)
Impersonation of Banco Pichincha, a financial institution, on a domain that is not the bank's official domain
Google Safe Browsing Social Engineering detection
Single-source phishing threat-intel report on the primary domain
IDS alerts for abused cloud hosting service (vercel.app)
No legitimate affiliation evidence; unrelated host to the impersonated brand
Domain age information unavailable

Details

Page Title

Bienvenido al Portal de Crédito - Banco Pichincha

Scan Type

public

Domain Name Analysis

Domain 'aumento-en-linea.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'aumento-en-linea'. Count 6 characters in 'vercel' containing 2 vowels alongside four consonants. It segments into two words: ver, cel. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://aumento-en-linea.vercel.app/

Page Load Overview

2.37s
Total Load Time
607 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:es
Text Length:423 chars
Detector Agreement:67%

Website Classification

Primary Category

finance banking66% confidence
Type: static
Method: ml+structural

All Detected Categories

finance banking
66%
government public service
41%
healthcare medical
29%
corporate business
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
464.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
164.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1172.67.68.11Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.250.154.95Google · CDNUnited States
AS15169Google LLC
1185.15.59.240United States
AS14907Wikimedia Foundation Inc.
1142.251.14.94Google · CDNUnited States
AS15169Google LLC
1104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.26.3.143Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1310--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17072976966A1007FFC53C4D6E591B9AEB50A61C3DE2ECAA7B58E0500BFCB5B60CD3704

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:lhq9d+5SCy37JXeS7JXex/2JxrpJjgbjNfo0ST1sfMDXErl6ja:lE9ZhLJ1pJo+TpC

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:17430:5EFAUU0UYMHB2otCwDAE5AkgEpAk85ASqzMqmpoQCCkFAIDAgoQxCQ44DRFCk0ABEjBJEQAQeIqBICCK6MBihuUHlQBJHAhS

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:ffffffe7ffe7ff00
Perceptual Hash:b39c1cb038f63699
Difference Hash:b2700c4c4c4c00b2
Wavelet Hash:dbffe7e724240000
Color Hash:07000008180

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data