Security Scan Report: correosdecr.web.app

Submitted: Oct 4, 2026, 7:54:08 AMCompleted: Oct 4, 2026, 7:54:49 AMpubliccompleted

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

Fake Correos de Costa Rica tracking page on free web.app hosting; collects personal data (name, phone, address) under a false shipment status. Brand impersonation, no official domain relationship.

Risk Factors (5)
Impersonation of Correos de Costa Rica on a non-official, free web.app subdomain
Unknown-age subdomain on a shared hosting platform; platform age is not attributable to this page
Data-harvesting form collects full name, phone, address, city and zipcode on a fake shipment tracking page
Falsely displays official Costa Rican postal branding and copyright in the footer
External IP lookup service and unrelated external domain rivelpas.online present in page resources
Domain age information unavailable

Details

Page Title

Correos

Scan Type

public

Domain Name Analysis

Domain 'correosdecr.web.app' uses the application-focused generic top-level domain (.app) with subdomain 'correosdecr'. The registrable portion 'web' spans 3 characters holding 1 vowel versus two consonants. Splitting it apart reveals 1 word: web. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://correosdecr.web.app/

Page Load Overview

2.26s
Total Load Time
147 KB
Total Size

Language Analysis

Primary Language

🇪🇸Spanish
Code: es
Confidence:51%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:507 chars
Detector Agreement:100%
Language mismatch: Declared as en but detected as es

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9199.36.158.100Fastly · CDNUnited States
AS54113Fastly, Inc.
851.195.5.58Limburg an der Lahn, Hesse, Germany
AS16276OVH SAS
172--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17E7234B09221519D4EE7EDA0A9E37F0A30A6CDE7F58FCADC659C089D1FC5BA5C4D0290

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:N/0h+37JXGpf9wSXaD8N//p+mt+6GR+3JtwyWvzbyym9laLvtFM4XMQF4esMGMPu:N/A+dyLXp/MR+3JSyn4FspMzZMAQ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:16614:pNoSCEERBIwgBiQUAISlGTBD1o4wUWSIBBkAAKSgTiN9CXEh4QZEYoEFAwCJkATsUDaIRBiCqkGUARCCIkiYQQxAYCQISiZg

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:7e00dbdfffffff00
Perceptual Hash:dc5443c398bce3e1
Difference Hash:80f03232300a0205
Wavelet Hash:0000909fffffff00
Color Hash:#3a7859

Other Hashes

Crop Resistant:80f03232300a0205

Scan History

Scan history not available

Unable to load historical scan data