Security Scan Report: peterjkingj.pages.dev

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Submitted: Dec 3, 2025, 4:10:53 PMCompleted: Dec 3, 2025, 4:12:22 PMpubliccompleted
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Summary

This website contacted 58 IPs in 3 countries across 16 domains to perform 46 HTTP transactions. The main domain is peterjkingj.pages.dev.

Submitted URL: https://peterjkingj.pages.dev/kgsdz-social-security-fairness-act-2025-status-check-online-mzklv/

AI Security Verdict

Confirmed Scam

Confidence: 92%

9
Risk Score

Site impersonates Social Security on a brand‑new, unranked domain – confirmed phishing scam.

Risk Factors
Brand impersonation of a government agency on an unrelated domain
Very new domain (<90 days) used for impersonation
Unranked/low‑reputation domain
Domain age information unavailable

Details

Page Title

Social Security Fairness Act 2025 Status Check Online - Peter J King

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

Within the developer-focused generic top-level domain (.dev), 'peterjkingj.pages.dev' is registered with subdomain 'peterjkingj'. Its registrable label 'pages' stretches across 5 characters holding two vowels versus 3 consonants. Tokenizing the label suggests 1 word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://peterjkingj.pages.dev/kgsdz-social-security-fairness-act-2025-status-check-online-mzklv/

Page Load Overview

5.90s
Total Load Time
46
HTTP Requests
16
Domains
11.3 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:3,232 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: dynamic
Method: structural

All Detected Categories

No categories detected

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
46104.26.6.126United States
AS13335CLOUDFLARENET
18188.114.97.3United States
AS13335CLOUDFLARENET
4172.67.180.98United States
AS13335CLOUDFLARENET
4142.250.185.227United States
AS15169GOOGLE
3192.178.170.119United States
AS15169GOOGLE
267.205.186.182North Bergen, New Jersey, United States
AS14061DIGITALOCEAN-ASN
2172.64.150.129United States
AS13335CLOUDFLARENET
2192.124.249.57Menifee, California, United States
AS30148SUCURI-SEC
2104.26.7.126United States
AS13335CLOUDFLARENET
2104.20.23.96United States
AS13335CLOUDFLARENET
4658--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E9032A2250E814773E1F93DD91A1BB2DDA659512DB034E6A37FC3058AF40DFA80B768E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:D6LZdapz8/YT9ZagjAsWbPLe7XkTJpc6xEDV:DcapvT9LjAsW+7XkTJpc6xEDV

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:38928:mOJIJyJHAFAhERJgI5RFQwBjLaHARIGJq7DQULFAAzEUQCyOeC5RQgkpYEADIEAWDETAISoOLjKlgC5MDgK0AAI0yE4sig8I

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:ffc3c3ff81000000
Perceptual Hash:b0f415cbcbcdc560
Difference Hash:0016160005000153
Wavelet Hash:ffc7e3ff95010100
Color Hash:#40bf59

Other Hashes

Crop Resistant:0016160005000153

Scan History

Scan history not available

Unable to load historical scan data