Security Scan Report: www.casact.org

Site favicon
Submitted: Oct 6, 2026, 9:09:10 AMCompleted: Oct 6, 2026, 9:10:13 AMpubliccompleted

This website contacted 24 IPs in 3 countries across 14 domains to perform 80 HTTP transactions. The main domain is casact.org and was registered 21 years ago.

Submitted URL: https://www.casact.org/article/cas-research-examines-climate-driven-impact-typhoon-risk-and-insurance-losses

The Cisco Umbrella rank of the primary domain is #668,514 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate Casualty Actuarial Society research article on its own long-established domain; no phishing, malware, credential or payment collection signals found.

Safety Factors (5)
Well-established domain with ~30-year registration history
Self-branding consistent with domain (Casualty Actuarial Society / casact.org)
No credential or payment forms; only a same-origin search form
No threat-intel, malware, IDS or credential-exfiltration signals
Physical business address and full organizational navigation present
Domain age information unavailable

Details

Page Title

CAS Research Examines Climate-Driven Impact on Typhoon Risk and Insurance Losses | Casualty Actuarial Society

Scan Type

public

Domain Name Analysis

Domain 'www.casact.org' uses the non-profit oriented generic top-level domain (.org), featuring subdomain 'www'. The registrable portion 'casact' spans 6 characters holding 2 vowels versus four consonants. Word splitting yields 2 words: cas, act. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.casact.org/article/cas-research-examines-climate-driven-impact-typhoon-risk-and-insurance-losses

Page Load Overview

2.70s
Total Load Time
2.3 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:10,831 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning68% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

education learning
68%
corporate
25%
news/blog
20%
forum
20%

Detected Features

Search
Articles
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11192.124.249.60Menifee, California, United States
AS30148Sucuri
3142.251.14.95Google · CDNUnited States
AS15169Google LLC
345.60.243.32Incapsula · WAFUnited States
AS19551Incapsula Inc
3104.19.148.8Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3142.251.20.94Google · CDNUnited States
AS15169Google LLC
320.250.198.32Azure · CLOUDZurich, Zurich, Switzerland
AS8075Microsoft Corporation
3142.250.154.97Google · CDNUnited States
AS15169Google LLC
3150.171.109.99Azure · CLOUDUnited States
AS8075Microsoft Corporation
3142.251.127.139Google · CDNUnited States
AS15169Google LLC
399.81.15.158Aws · CLOUDDublin, Leinster, Ireland
AS16509Amazon.com, Inc.
8024--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T165E3CC6191E01136865398C26934E73EEB83D617DE0F1A45F3BC5B8B8FC2E81CE5B259

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:Gk2NOSV80P0FiKdmf2/+fgdL9UN1IinupWbc1WGQxy+39D+1kUH9oMGvaivrVtZo:GEBAswmmxhq7jm7I

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:152986:RsIQIKIgUABAJ5ihMiEgCUSDYxQLaA4JqWAIgSNYKJQOgAIgCLylsgCaURpRJNQnYKIUrNjCsIyFKUBIQIKEiEYyQ24iQFLo

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:00ffe7ffe7c3c3c9
Perceptual Hash:e5965b651b346619
Difference Hash:84009e9c0e861613
Wavelet Hash:00ffc7c7e3c3c301
Color Hash:#783a71

Scan History

Scan history not available

Unable to load historical scan data