Security Scan Report: correosdecr.web.app

Submitted: Completed: publiccompleted
This website contacted 2 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

Confirmed Scam

Confidence: 88%

9
Risk Score

Fake Correos de Costa Rica parcel-tracking page on a free .web.app subdomain that impersonates the postal brand and harvests name, phone and address details under a delivery pretext; corroborated phishing threat-intel match.

Risk Factors (6)
Brand impersonation of a different entity (Correos de Costa Rica) on a domain that is not its official site
Parcel-delivery pretext used to harvest personal data (name, phone, address)
Threat-intel phishing report on the primary domain
Free hosting-platform subdomain (.web.app) with unknown, potentially minutes-old creation date
Reference to unrelated external domain rivelpas.online
Unranked domain with no established reputation
Domain age information unavailable

Details

Page Title

Correos

Scan Type

public

Domain Name Analysis

The domain name 'correosdecr.web.app' uses the application-focused generic top-level domain (.app) with subdomain 'correosdecr'. Its registrable label 'web' stretches across 3 characters split between one vowel and 2 consonants. Breaking it apart gives one word: web. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

7.16s
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

T1C17234B09221519D4EE7EDA0A9F27F0A30A6CDE7F58FCADC659C089D1FC5BA5C4D0290

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:h/0h+37JXGpf9wSXaD8N//p+mt+6GR+3JtwyWDzbyym9laLvtFM4XMQF4esMGMPu:h/A+dyLXp/MR+3JSyr4FspMzZMAQ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:16599:gT6AsQehTWMJT2gNBJUIBhA0QIoQKkPCQxcUQAiBAgCibtAB4FBDgBEiIbEACASExAUAdKjIMAN8AGM/QhuCMorQEggKEJQA

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:#d2799a

Other Hashes

Crop Resistant:80f03232300a0205

Scan History

Scan history not available

Unable to load historical scan data