Security Scan Report: correoscostarica.cyou

Submitted: Completed: publiccompleted
This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is correoscostarica.cyou and was registered 3 weeks ago.

Submitted URL: https://correoscostarica.cyou/5-vx_sgv6rvbtdv/VYb-5Vh6EvNTv_T5G5-RFY/user-936598//formulario-envio.php

AI Security Verdict

Confirmed Scam

Confidence: 88%

9
Risk Score

Fake 'Correos de Costa Rica' page on a 5-day-old .cyou domain harvesting recipient name, address, phone and email via a hidden control-panel endpoint — brand impersonation and data phishing.

Risk Factors (5)
Impersonation of a different entity's brand (Correos de Costa Rica) on a non-official domain
Domain age 5 days with brand impersonation
Data-harvesting form submitting to a hidden control-panel endpoint outside normal site navigation
Obfuscated per-victim URL path structure
Unranked domain claiming to be a national postal operator
Domain age information unavailable

Details

Page Title

Información de Envío | Correos de Costa Rica

Scan Type

public

Domain Name Analysis

You're looking at domain 'correoscostarica.cyou' on the .cyou top-level domain. The second-level label 'correoscostarica' is 16 characters long with seven vowels and 9 consonants. Splitting it apart reveals 4 words: corre, os, costa, rica. Expect 4.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://correoscostarica.cyou/5-vx_sgv6rvbtdv/VYb-5Vh6EvNTv_T5G5-RFY/user-936598//formulario-envio.php

Page Load Overview

1.12s
Total Load Time
15 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:es
Text Length:965 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network91% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
91%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
395.216.27.99Helsinki, Uusimaa, Finland
AS24940Hetzner Online GmbH
31--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1721298A1BAF7157274529B643BEB578A3654D403C00AD6093BEC2369CFC6AD1EE4374C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:ctaJUKhn8Iusw9J+WnWr6VvygCR/ttg2QAnrgwoZ71nlRLf:ck1d6ERlKDAn8woZ75lRLf

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9292:EBw2BY+gQDqMeWAUQ1QZ5hADNMAIsREARBCCWG4nAB4JAR2LMJAQcgMTwwBaoDFaQwgAqIARNSiYTAIORAB0mnHhKJaYYAwB

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:00000cffffffffff
Perceptual Hash:982e2a2ea6b3e6b1
Difference Hash:2333101038309919
Wavelet Hash:000000dedefedfcf
Color Hash:#1f5393

Scan History

Scan history not available

Unable to load historical scan data