Security Scan Report: wattsupwiththat.com

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Submitted: Sep 23, 2026, 9:37:58 AMCompleted: Sep 23, 2026, 9:38:37 AMpubliccompleted

This website contacted 35 IPs in 3 countries across 39 domains to perform 133 HTTP transactions. The main domain is wattsupwiththat.com and was registered 7 years ago.

Submitted URL: https://wattsupwiththat.com/2026/05/15/claim-the-coming-el-nino-global-warming-may-kill-50-million-people/

The Cisco Umbrella rank of the primary domain is #452,123 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Established climate blog article with self-branding, no credential/payment forms, and no threat-intel, malware, or IDS indicators. Legitimate.

Safety Factors (5)
Established domain age of 19 years
Self-branding matches the domain, ruling out brand impersonation
No credential or payment forms
No indicators of compromise or malware detection
Content is a climate/weather opinion article with standard blog navigation
Domain age information unavailable

Details

Page Title

Claim: The Coming El Nino Global Warming may Kill 50 Million People - Watts Up With That?

Scan Type

public

Domain Name Analysis

The domain 'wattsupwiththat.com' uses the commercial generic top-level domain (.com) without a subdomain. The registrable portion 'wattsupwiththat' spans 15 characters split between four vowels and 11 consonants. It segments into four words: watts, up, with, that. Average segment length settles at four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://wattsupwiththat.com/2026/05/15/claim-the-coming-el-nino-global-warming-may-kill-50-million-people/

Page Load Overview

0.12s
Total Load Time
3.3 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:24,342 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog100% confidence
Type: spa
Method: structural

All Detected Categories

news/blog
100%
forum
70%
corporate
70%

Detected Features

Search
Articles
Comments
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
31199.16.173.50San Francisco, California, United States
AS2635Automattic, Inc
3199.16.172.79San Francisco, California, United States
AS2635Automattic, Inc
3192.0.77.37San Francisco, California, United States
AS2635Automattic, Inc
3104.17.198.65Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3192.0.76.3San Francisco, California, United States
AS2635Automattic, Inc
3192.0.77.2San Francisco, California, United States
AS2635Automattic, Inc
3146.75.120.157Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
357.144.248.128Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
3104.17.201.65Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3143.204.181.25Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
13335--

Detected Technologies13

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19DE129E46B203133C37B009358F694CA6071C2546C1A0869B5767A672E52AFB17F7F5E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:e2W5pi8kjMWgMeqbTZITHheaFFQ/cuUfbuP:xwiR+qbOBeaPQ/cTfSP

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7014:BgfIQCATQSiIZJAQJyAIdCACcBUEZBCAARAAMGJAgIFBLmHACmIgA4IW/BkSlKSQgIDaAIAoIggMMAlBMoJRUYEhAUsAIQGA

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:ffffe7e7ffffffff
Perceptual Hash:b333cccc233399cc
Difference Hash:00000c0c00000000
Wavelet Hash:3c3c3c24243c3c3c
Color Hash:#6053ac

Other Hashes

Crop Resistant:00000c0c00000000

Scan History

Scan history not available

Unable to load historical scan data