Security Scan Report: theclimatewatch.com

Site favicon
Submitted: Sep 23, 2026, 9:29:40 AMCompleted: Sep 23, 2026, 9:30:33 AMpubliccompleted

This website contacted 12 IPs in 1 country across 10 domains to perform 76 HTTP transactions. The main domain is theclimatewatch.com and was registered 29 years ago.

Submitted URL: https://theclimatewatch.com/super-el-nino-could-trigger-global-climate-disaster-scientists-warn/

AI Security Verdict

Safe Website

Confidence: 88%

1
Risk Score

Established self-branded climate news site (852-day-old domain) publishing editorial articles. Standard WordPress login and a Mailchimp newsletter form; no impersonation, Indicators of Compromise, malware, or phishing signals. Safe to use.

Safety Factors (5)
Self-branding: page title, Open Graph site name and domain all reference 'The Climate Watch' matching theclimatewatch.com
Established 852-day-old domain with visible business address
Article/news content structure with bylines, related articles, and editorial sections
Newsletter signup uses Mailchimp's managed subscription endpoint (list-manage.com), a legitimate service provider
General/editorial climate content with no calls to submit sensitive credentials or payment data
Domain age information unavailable

Details

Page Title

Super El Nino could trigger global climate disaster, scientists warn

Scan Type

public

Domain Name Analysis

You're looking at domain 'theclimatewatch.com' on the commercial generic top-level domain (.com) with no subdomain. The core label 'theclimatewatch' covers 15 characters containing 5 vowels alongside 10 consonants. It segments into 3 words: the, climate, watch. Average segment length settles at 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://theclimatewatch.com/super-el-nino-could-trigger-global-climate-disaster-scientists-warn/

Page Load Overview

1.92s
Total Load Time
1.5 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en-US
Text Length:11,524 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network50% confidence
Type: spa
Method: ml+structural

All Detected Categories

social media network
50%
news/blog
50%
corporate
35%
news media journalism
31%
government public service
27%

Detected Features

Login Form
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10172.67.205.95Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6142.251.14.157Google · CDNUnited States
AS15169Google LLC
6142.251.14.95Google · CDNUnited States
AS15169Google LLC
6192.0.73.2San Francisco, California, United States
AS2635Automattic, Inc
6104.16.80.73Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6104.21.77.73Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6142.251.14.155Google · CDNUnited States
AS15169Google LLC
6142.251.127.94Google · CDNUnited States
AS15169Google LLC
6192.0.77.2San Francisco, California, United States
AS2635Automattic, Inc
6142.251.14.154Google · CDNUnited States
AS15169Google LLC
7612--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DBD2B833A2A944253F5ED7BDC18BB318DC58562DC606A7A1B1FC715C4A8CAFB00B731A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:3E+BdspX/ci+8Y72WdNJ6Ih7K4r/ZdSZUaAvHkWh:3EcYXkMWDZdypi9h

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:29037:rGAIIIMSUJ5aQYyUAwlQCyAo/JMFRcC8mBDdAIEgA4BwLISqydoIDAtiKJjklMMYREYCEMkAJljJFEAuZ/JwsQAYOVM2ghJA

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:bf8787878783fbff
Perceptual Hash:bf36c94bc4c986c8
Difference Hash:4d0f2f2f2d2f3b3b
Wavelet Hash:a58787838781f9d9
Color Hash:#9653ac

Scan History

Scan history not available

Unable to load historical scan data