Security Scan Report: mel365.com

Redirected to:
https://mel365.com/.well-known/captcha/?y=ipr:178.63.16.224:1790906927...
Submitted: Oct 2, 2026, 2:08:44 AMCompleted: Oct 2, 2026, 2:09:37 AMpubliccompleted

This website contacted 14 IPs in 2 countries across 2 domains to perform 6 HTTP transactions. The main domain is mel365.com and was registered 18 years ago.

Submitted URL: https://mel365.com/costa-rica-vs-nicaragua/

Effective URL:

https://mel365.com/.well-known/captcha/?y=ipr:178.63.16.224:1790906927...
Redirected

AI Security Verdict

Safe Website

Confidence: 88%

0
Risk Score

Aged travel-content domain (~16 years) with no forms, no credential collection, and no threat-intel, malware, or network alerts. No malicious signals found.

Safety Factors (5)
Established domain aged ~16 years
No credential or payment forms present
No threat-intel, YARA, IDS, or behavioral malware signals
No third-party script hosts; scripts same-origin
Standard consent-management and analytics scripts only
Domain age information unavailable

Details

Page Title

Costa Rica Vs Nicaragua: In-depth Comparison in 17 pointssecondary capture

Scan Type

public

Domain Name Analysis

You're looking at domain 'mel365.com' on the commercial generic top-level domain (.com). Count 6 characters in 'mel365' split between 1 vowel and two consonants, along with three digits. Splitting it apart reveals 2 words: mel, 365. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://mel365.com/costa-rica-vs-nicaragua/

Page Load Overview

1.01s
Total Load Time
9 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:62%
Script:Latin
Direction:ltr

Detection Details

Text Length:51 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content77% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
77%
healthcare medical
74%
news media journalism
73%
government public service
71%
real estate property
64%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
635.215.95.246Google · CDNLos Angeles, California, United States
AS15169Google LLC
0146.75.121.55Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
0142.251.20.97Google · CDNUnited States
AS15169Google LLC
0146.75.122.132Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
03.77.223.190Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
0142.251.20.155Google · CDNUnited States
AS15169Google LLC
094.237.89.114Frankfurt am Main, Hesse, Germany
AS202053UpCloud Ltd
037.19.194.81Datacamp · CDNFrankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
0146.75.122.49Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
079.127.216.204Datacamp · CDNFrankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
614--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19B140BF277A43437272B82D9685073587393D106CF194AD8B2FD926CD7C4FAE1AA261C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:GplTOdWoz0yp9Vkvi6SqSdvfjEMJonsEEdN5bLcdXLsNBdQADWkjzDTtd0XBlSpc:GvTOkozlgEPBDzb66GLZlzbGKNPxY8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:197551:kpkBSKAM2oAkAAwiAmwoKiA4jElKlgaoUjJBEHiEeSiOASCkQBQUAkgG8EoEFRFfkGACkM4SRCAiAZAAERUFGIESRBb4TQQA

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:7f003c3c3c340800
Perceptual Hash:ce9131c4939bce33
Difference Hash:a017696961653905
Wavelet Hash:7f80bcbcbcb48080
Color Hash:#8453ac

Other Hashes

Crop Resistant:a017696961653905

Scan History

Scan history not available

Unable to load historical scan data