Security Scan Report: caitlynjackc.pages.dev

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Submitted: Dec 29, 2025, 2:02:04 PMCompleted: Dec 29, 2025, 2:03:15 PMpubliccompleted
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Summary

This website contacted 14 IPs in 3 countries across 13 domains to perform 55 HTTP transactions. The main domain is caitlynjackc.pages.dev and was registered NaN years ago.

Submitted URL: https://caitlynjackc.pages.dev/pmswf-2025-social-security-benefits-2025-gzmbv/

AI Security Verdict

High Risk

Confidence: 92%

9
Risk Score

High‑risk phishing site impersonating Social Security benefits; do not trust.

Risk Factors
Brand impersonation of Social Security Benefits on an untrusted domain
Malicious external link to pages.dev (known malicious Indicators of Compromise)
Unranked domain with low reputation
Use of a generic Cloudflare Pages subdomain for a government‑related claim
Domain age information unavailable

Details

Page Title

Social Security Benefits 2025 - Caitlyn C. Jack

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

healthcare medical

(68%)

Domain Information

You're looking at domain 'caitlynjackc.pages.dev' on the developer-focused generic top-level domain (.dev) and includes subdomain 'caitlynjackc'. The second-level label 'pages' is 5 characters long holding 2 vowels versus 3 consonants. Segmentation suggests one word: pages. Expect 5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://caitlynjackc.pages.dev/pmswf-2025-social-security-benefits-2025-gzmbv/

Page Load Overview

2.63s
Total Load Time
43
HTTP Requests
13
Domains
1.7 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:2,748 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical68% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

healthcare medical
68%
government public service
60%
adult content
49%
news media journalism
32%
documentation technical
25%

Detected Features

Comments
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
446.229.172.197Netherlands
AS39572DataWeb Global Group B.V.
3104.26.14.73United States
AS13335CLOUDFLARENET
3150.171.28.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
3172.66.40.135Unknown
3188.114.97.3United States
AS13335CLOUDFLARENET
3104.198.108.103The Dalles, Oregon, United States
AS396982GOOGLE-CLOUD-PLATFORM
3150.171.27.10UnknownUnknown
3104.26.5.18UnknownUnknown
3104.21.11.140UnknownUnknown
3172.67.166.38United States
AS13335CLOUDFLARENET
4314--

Detected Technologies11

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17113063265EC10B63A5E83D89561B31DEA69E605CA038B7A32FC75589B85DF740B320E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:3qtCKFHZdapzsVST9Z4Q2+wTZ0ZxXe0xcNdMoJIODz:3qtCK1apFT9et+6ZMe0xQtJIODz

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:42019:gzpGlYphjgylcaAOYgJyyAAgE1mSQBXKoBgJEwoc2AEAEBBNgEOYggIQARcdCEeggKMJNYCmgwZVnjAVyzQpKONAnUAUrBAR

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Scan History

Scan history not available

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