Security Scan Report: catherinetwatersh.pages.dev

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Submitted: Jan 9, 2026, 1:13:35 AMCompleted: Jan 9, 2026, 1:15:35 AMpubliccompleted
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Summary

This website contacted 15 IPs in 1 country across 15 domains to perform 58 HTTP transactions. The main domain is catherinetwatersh.pages.dev and was registered NaN years ago.

Submitted URL: https://catherinetwatersh.pages.dev/jzjty-social-security-cola-2025-prediction-in-india-lsoly/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site with no apparent security concerns.

Safety Factors
Established domain age
Absence of sensitive data collection forms
No malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

Social Security Cola 2025 Prediction In India - Catherine T Waters

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

finance banking

(55%)

Domain Information

You're looking at domain 'catherinetwatersh.pages.dev' on the developer-focused generic top-level domain (.dev) and includes subdomain 'catherinetwatersh'. The core label 'pages' covers 5 characters with two vowels and three consonants. Tokenizing the label suggests one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://catherinetwatersh.pages.dev/jzjty-social-security-cola-2025-prediction-in-india-lsoly/

Page Load Overview

47.28s
Total Load Time
56
HTTP Requests
15
Domains
3.8 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en-US
Text Length:6,248 chars
Detector Agreement:100%

Website Classification

Primary Category

finance banking55% confidence
Type: spa
Method: ml+structural

All Detected Categories

finance banking
55%
government public service
41%
news/blog
35%
healthcare medical
32%
adult content
27%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
14104.21.90.5United States
AS13335CLOUDFLARENET
3104.21.18.46United States
AS13335CLOUDFLARENET
3104.26.1.31United States
AS13335CLOUDFLARENET
3150.171.28.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
3172.67.75.107United States
AS13335CLOUDFLARENET
3172.66.169.241United States
AS13335CLOUDFLARENET
3104.18.19.5United States
AS13335CLOUDFLARENET
3104.21.93.218United States
AS13335CLOUDFLARENET
3104.20.23.96United StatesUnknown
3172.66.47.165United States
AS13335CLOUDFLARENET
5615--

Detected Technologies11

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AC432B72568E10737E0FA3DDD2A3770CE56A9639CA038DAA35FD11485F90EF6422B18D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:ekapzT+10X3Woeu7HOX3Woeu7HsAqJgwfMAqJgwfB:eDNTcSUTqJgwfTqJgwfB

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:58479:Ls7FI0EiDNxQADhOAiAIkOJR3CADSdpCoOeFqAAUlMKIEZ47Aw5e2MDgh4ICikCUAZEAIgQRgR+Ub4eCYAigtIBwjCRElAHE

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:ffffcf878787df87
Perceptual Hash:b2cdcd3c32c132cd
Difference Hash:283a2e0c2c2c383c
Wavelet Hash:8c8f838787878f87
Color Hash:#c59787

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data