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Security Scan Report: jeremykaitlyns.pages.dev

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Submitted: Jan 4, 2026, 10:18:33 PMCompleted: Jan 4, 2026, 10:20:41 PMpubliccompleted
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Summary

This website contacted 15 IPs in 1 country across 15 domains to perform 24 HTTP transactions. The main domain is jeremykaitlyns.pages.dev and was registered NaN years ago.

Submitted URL: https://jeremykaitlyns.pages.dev/czrkd-social-security-pay-schedule-2025-ssa-vcsrl/

AI Security Verdict

High Risk

Confidence: 92%

8
Risk Score

High‑risk phishing site due to malicious primary domain and brand impersonation.

Risk Factors
Primary domain pages.dev flagged as malicious (Indicators of Compromise)
Brand impersonation on a low‑reputation, unranked domain
Unranked domain claiming a well‑known brand
Domain age information unavailable

Details

Page Title

Social Security Pay Schedule 2025 Ssa - Jeremy Kaitlyn S

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(37%)

Domain Information

The domain name 'jeremykaitlyns.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'jeremykaitlyns'. Its registrable label 'pages' stretches across 5 characters with 2 vowels and three consonants. Tokenizing the label suggests 1 word: pages. Average segment length settles at 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://jeremykaitlyns.pages.dev/czrkd-social-security-pay-schedule-2025-ssa-vcsrl/

Page Load Overview

57.23s
Total Load Time
35
HTTP Requests
15
Domains
700 KB
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:2,979 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service37% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
37%
corporate
35%

Detected Features

Search
Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7104.20.23.96United States
AS13335CLOUDFLARENET
2160.153.0.38United States
AS209242Cloudflare London, LLC
2142.250.185.97United States
AS8075
2104.21.11.140United States
AS2635
2172.66.44.229United States
AS13335CLOUDFLARENET
2146.75.121.140United States
AS209242
2192.0.73.2San Francisco, California, United States
AS2635AUTOMATTIC
2142.251.141.97United StatesUnknown
2172.66.169.241United States
AS13335CLOUDFLARENET
2192.185.5.168United States
AS19871NETWORK-SOLUTIONS-HOSTING
3515--

Detected Technologies11

WordPressv6.4.3
100%
Open-Graph-Protocolvwebsite
100%
MetaGenerator
100%
JQueryv3.7.1
100%
PHP
50%
MySQL
50%
HTTP/3
40%
Cloudflare Bot Management
40%
Cloudflare
40%
Gravatar
30%
Statcounter
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17BF2F63351AD04377E5F83EDC1A23318B8AEAA30DA024A76B5F572245F84DF641B751E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:pJGrZdap6s8BBIArISqxIk/bAvbhmDsxEsZ0:aap58BBIArISqxIk/cvlmDsxEse

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:36569:hSymjopCQIgIAVYAnkwGBAEKIDWQLw/CEKZIaIBwAALwUGU4FISQCIWCBERAQkUZEUCTKQFZCwpWQlUVAIAQHQKMAKxZDAoC

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:e7ef8f83ff838387
Perceptual Hash:bec33234c7343cc9
Difference Hash:0c093b2b332f2f2f
Wavelet Hash:e7ef838383838387
Color Hash:#93911f

Other Hashes

Crop Resistant:0c093b2b332f2f2f,53d8ecb496c9e916

Scan History

Scan history not available

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