Security Scan Report: systemecuzen--sistemeculo.replit.app

Submitted: Completed: publiccompleted
This website contacted 4 IPs in 2 countries across 4 domains to perform 7 HTTP transactions. The main domain is replit.app and was registered 5 years ago.

Submitted URL: https://systemecuzen--sistemeculo.replit.app/

AI Security Verdict

Confirmed Scam

Confidence: 96%

10
Risk Score

Phishing page impersonating Banco Pichincha on a free Replit subdomain, flagged by Safe Browsing for social engineering; it harvests name, cédula and phone under a fake credit pre-approval. Do not enter any data.

Risk Factors (6)
Google Safe Browsing Social Engineering (phishing) detection
Brand impersonation of Banco Pichincha on a non-official, instant-publish hosting subdomain
Harvesting of personally identifiable information (full name, cédula, phone) under a fake credit pre-approval
Fabricated loan terms and pre-approval amounts used as bait
Unranked domain in Cisco Umbrella while claiming to be a major financial institution
Inline script beaconing to api.ipify.org, consistent with victim IP fingerprinting in phishing kits
Domain age information unavailable

Details

Page Title

Crédito en Línea - Banco Pichincha

Scan Type

public

Domain Name Analysis

You're looking at domain 'systemecuzen--sistemeculo.replit.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'systemecuzen--sistemeculo'. The registrable portion 'replit' spans 6 characters with two vowels and 4 consonants. Tokenizing the label suggests two words: rep, lit. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://systemecuzen--sistemeculo.replit.app/

Page Load Overview

5.02s
Total Load Time
1.1 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:es
Text Length:892 chars
Detector Agreement:75%

Website Classification

Primary Category

finance banking53% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

finance banking
53%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
434.117.33.233Google · CDNKansas City, Missouri, United States
AS396982Google LLC
1185.15.59.240United States
AS14907Wikimedia Foundation Inc.
1177.253.96.14Bogotá, Bogota D.C., Colombia
AS13489UNE EPM TELECOMUNICACIONES S.A.
135.190.3.23Google · CDNKansas City, Missouri, United States
AS396982Google LLC
74--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E882A76A56F30471ED83906937EB978A7154D003CD0ACE297FDD47808FCA994A9A2BCC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:UrglY2Q3Pq4RS216S+8p/9GE6LXJIHtDghqYWHB1rYuzclN+IeKdgWx65/U5utAt:Urahq7HrKSt+I0qGN0GeYur8uBu

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:18612:cFYCgAoZAKyACWKUWWEWaIUEsgwuEeGoCClAJEyEUNFMgQlIBCRtMYMmg94XmxphJgCEcCEBAcigJCCUMQBYARfEILDHjMFK

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:1818181818181818
Perceptual Hash:9933337623cccccc
Difference Hash:b2b2b2b2b2b2b2b2
Wavelet Hash:38383c3c3c3c3839
Color Hash:N/A

Scan History

Scan history not available

Unable to load historical scan data