Security Scan Report: pameladstanleyj.pages.dev

Submitted: Mar 14, 2026, 5:33:26 PMCompleted: Mar 14, 2026, 5:34:37 PMpubliccompleted
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Summary

This website contacted 15 IPs in 3 countries across 15 domains to perform 1 HTTP transaction. The main domain is pameladstanleyj.pages.dev and was registered NaN years ago.

Submitted URL: https://pameladstanleyj.pages.dev/jibkm-social-security-wage-base-2025-projection-psychology-pwsim/

AI Security Verdict

Safe Website

Confidence: 85%

1
Risk Score

Informational page with no malicious activity detected.

Safety Factors
No forms collecting sensitive data
No malicious Indicators of Compromise
Hosted on a reputable platform (pages.dev)
Content is purely informational about Social Security wage base
No brand impersonation detected
Domain age information unavailable

Details

Page Title

Social Security Wage Base 2025 Projection Psychology - Pamela D Stanley

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(63%)

Domain Information

The domain name 'pameladstanleyj.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'pameladstanleyj'. Its registrable label 'pages' stretches across 5 characters holding 2 vowels versus three consonants. Tokenizing the label suggests one word: pages. Expect five characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://pameladstanleyj.pages.dev/jibkm-social-security-wage-base-2025-projection-psychology-pwsim/

Page Load Overview

3.22s
Total Load Time
43
HTTP Requests
16
Domains
1.1 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:4,848 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service63% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
63%
technology software
61%
adult content
56%
healthcare medical
50%
documentation technical
46%

Detected Features

Search
Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
15192.254.185.35Phoenix, Arizona, United States
AS46606Unified Layer
2146.75.121.55Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
2150.171.27.10United States
AS8075Microsoft Corporation
2178.33.160.243Roubaix, Hauts-de-France, France
AS16276OVH SAS
252.5.159.58Ashburn, Virginia, United States
AS14618Amazon.com, Inc.
2104.20.23.96United States
AS13335Cloudflare, Inc.
2172.217.168.74United States
AS15169Google LLC
2172.66.44.104United States
AS13335Cloudflare, Inc.
2176.9.114.118Falkenstein, Saxony, Germany
AS24940Hetzner Online GmbH
2108.138.26.71Unknown
4315--

Detected Technologies11

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T112132A22519D143B395F93D8A2A6335DE8BE9A34CA034B7271F9B1249F84DF601EB11F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:EvJPvZdapF4kGdsKNmCaye2RhxRDjBsKmNcYYiNZrAAo6NVefY0ZMZXj:2vapCdsQmCayeqAosVefY0ZMVj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:41593:RsDBE4AwZiIImAeAaImCGRgIcZFEmlaRSJQgQ2t4uoDUQMQ5QoApBBhBaQPMgVEGB8NAAGyG+MSAAmuBYczEABAPECESAbMY

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:0000ff9fdfffc3df
Perceptual Hash:bc4364384f3cc3f4
Difference Hash:23250b2b3f3b3727
Wavelet Hash:0000ff8783ff83b7
Color Hash:#ac53a3

Other Hashes

Crop Resistant:23250b2b3f3b3727

Scan History

Scan history not available

Unable to load historical scan data