Security Scan Report: correosdecr.web.app

Submitted: Completed: publiccompleted
This website contacted 3 IPs in 2 countries across 3 domains to perform 17 HTTP transactions. The main domain is web.app and was registered 7 years ago.

Submitted URL: https://correosdecr.web.app/

AI Security Verdict

High Risk

Confidence: 78%

8
Risk Score

Impersonates Correos de Costa Rica on a free Firebase subdomain, using a fake package-tracking form to harvest personal details and loading an unrelated external domain.

Risk Factors (4)
Brand impersonation of Correos de Costa Rica on a non-official, free-hosting subdomain
Fake package-tracking / delivery-failure phishing form harvesting personal information
Third-party external domain (rivelpas.online) unrelated to the impersonated brand
Unranked domain with unknown subdomain age
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 core label 'web' covers 3 characters holding 1 vowel versus 2 consonants. Segmentation suggests 1 word: web. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

3.90s
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
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

T12D7234B09221519D4EE7EDA0A9E37F0A30A6CDE7F58FCADC659C089D1FC5BA5C4D0290

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:N/0h+37JXGpf9wSXaD8N//p+mt+6GR+3JtwyWzzbyym9laLvtFM4XMQF4esMGMPu:N/A+dyLXp/MR+3JSyH4FspMzZMAQ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:16614:pA4XCVAwzbxAhmYEAISEODBBhxiQdGWLFgltACBgSCfVDSED4AMMYICGgwCNkB3MGCAoRhuCOUkeChCiYFL5gQzECKQICUBo

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:dc5443c398bca3e3
Difference Hash:80f03232300a0205
Wavelet Hash:0000909fffffff00
Color Hash:#ac8e53

Other Hashes

Crop Resistant:80f03232300a0205

Scan History

Scan history not available

Unable to load historical scan data