Security Scan Report: www.cyclocane.com

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Submitted: Oct 28, 2025, 3:15:02 PMCompleted: Oct 28, 2025, 3:16:08 PMpubliccompleted
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Summary

This website contacted 68 IPs in 2 countries across 16 domains to perform 71 HTTP transactions. The main domain is cyclocane.com and was registered NaN years ago.

Submitted URL: https://www.cyclocane.com/es/trayectoria-del-huracan-melissa/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Long‑standing domain registration
Absence of suspicious forms or scripts
No known malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

Trayectoria del Huracán MELISSA | Cyclocane

Scan Type

public

Language

🇪🇸

Spanish

(80% confidence)

Category

government public service

(29%)

Domain Information

Domain 'www.cyclocane.com' uses the commercial generic top-level domain (.com) and includes subdomain 'www'. The second-level label 'cyclocane' is 9 characters long containing 3 vowels alongside six consonants. It segments into three words: cy, clo, cane. Median word length comes out to three characters. The linguistic tilt is English for 'cy'. It also appears in Chinese (Pinyin) and Vietnamese contexts.

Screenshot

Security scan screenshot of https://www.cyclocane.com/es/trayectoria-del-huracan-melissa/

Page Load Overview

25.89s
Total Load Time
71
HTTP Requests
16
Domains
8.7 MB
Total Size

Language Analysis

Primary Language

🇪🇸Spanish
Code: es
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:es
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:es
Text Length:64,533 chars
Detector Agreement:75%

Website Classification

Primary Category

government public service29% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
499.84.152.69United States
AS16509AMAZON-02
1142.250.181.226United States
AS15169GOOGLE
1142.250.185.227United States
AS15169GOOGLE
1142.250.185.72United States
AS15169GOOGLE
199.84.152.9United States
AS16509AMAZON-02
199.84.152.117United States
AS16509AMAZON-02
1142.250.185.74United States
AS15169GOOGLE
123.207.210.149Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1128.104.111.211Madison, Wisconsin, United States
AS59WISC-MADISON-AS
1172.217.18.14United States
AS15169GOOGLE
7168--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A7B47131F940293FAA3B05C4E749D71A71D6A31BF4A90410D5E603788AE9E78F52F2E7

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:2zWEkrY587xeW72Uyncc02FbHBTplAzbT5d3hiantUerm0Osute0J1Q/fihTVjoo:/3k587IWqU4uhi3nMZFs

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:500257:MC0CJxqKQoLGFRiCQEoAgegSQZJBgiSBSCAEAHsKSsAUYkpiK2pQiAKSM4w50FUAEE0dCAiAo2BIHM8ckCQECQqxBYQkQAJB

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:0000181c1c1c0000
Perceptual Hash:9c4b673e471e1c49
Difference Hash:443333323232302e
Wavelet Hash:0081999dbd9f9f83
Color Hash:#ae87c5

Other Hashes

Scan History

Scan history not available

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