Security Scan Report: correosdecr.web.app

Submitted: Oct 11, 2026, 8:53:36 AMCompleted: Oct 11, 2026, 8:54:14 AMpubliccompleted

AI Security Verdict

High Risk

Confidence: 78%

8
Risk Score

Fake Correos de Costa Rica parcel-tracking page on a free web.app subdomain that impersonates the national postal service and harvests name, phone and address data. Do not enter any information.

Risk Factors (5)
Brand impersonation of a DIFFERENT entity (Correos de Costa Rica) on a domain that is not the brand's official domain
Collection of personal data (name, phone, address, city, postal code) under the guise of a delivery notice
Hosted on a free subdomain-hosting platform (web.app) with unknown page age
Unranked domain (not in Cisco Umbrella top 1M)
Suspicious unknown external domain 'rivelpas.online' linked from the page
Domain age information unavailable

Details

Page Title

Correos

Scan Type

public

Domain Name Analysis

You're looking at domain 'correosdecr.web.app' on the application-focused generic top-level domain (.app) and includes subdomain 'correosdecr'. The registrable portion 'web' spans 3 characters split between one vowel and two consonants. Breaking it apart gives 1 word: web. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

2.07s
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:509 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
7199.36.158.100Fastly · CDNUnited States
AS54113Fastly, Inc.
551.77.64.70Germany
AS16276OVH SAS
551.195.5.58Limburg an der Lahn, Hesse, Germany
AS16276OVH SAS
173--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15D7234B09221519D4EE7EDA0A9E37F0A30A6CDE7F58FCADC659C089D1FC5BA5C4D0290

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:N/0h+37JXGpf9wSXaD8N//p+mt+6GR+3JtwyWBzbyym9laLvtFM4XMQF4esMGMPu:N/A+dyLXp/MR+3JSyJ4FspMzZMAQ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:16616:JGwND8FjgQgQBGAUUAQEwVBApbK0HmxJWCl5ACQARqPDASAiIwlMYJqaRAKr0A3ERECKRBEIokkYGhyAx0IZCAgASDQICYIh

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:#7f79d2

Other Hashes

Crop Resistant:80f03232300a0205

Scan History

Scan history not available

Unable to load historical scan data