Security Scan Report: margaretmkitchend.pages.dev

Submitted: Nov 14, 2025, 5:51:42 PMCompleted: Nov 14, 2025, 5:52:55 PMpubliccompleted
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Summary

This website contacted 46 IPs in 0 countries across 11 domains to perform 39 HTTP transactions. The main domain is margaretmkitchend.pages.dev.

Submitted URL: https://margaretmkitchend.pages.dev/ahlnv-social-security-2025-income-limit-azkjn/

AI Security Verdict

Moderate Risk

Confidence: 68%

5
Risk Score

Impersonates Social Security on an untrusted domain; moderate risk, no data collection observed.

Risk Factors
Brand impersonation of a government service (Social Security) on a personal domain
Unranked, low‑reputation domain
Potentially newly registered domain with no history
Safety Factors
No password, email, or payment fields on the page
No malicious Indicators of Compromise detected
No external links to suspicious sites
Domain age information unavailable

Details

Page Title

Social Security 2025 Income Limit - Margaret M Kitchen

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(70%)

Domain Information

The domain name 'margaretmkitchend.pages.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'margaretmkitchend'. The core label 'pages' covers 5 characters holding two vowels versus three consonants. Segmentation suggests one word: pages. The median word length lands at five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://margaretmkitchend.pages.dev/ahlnv-social-security-2025-income-limit-azkjn/

Page Load Overview

38.59s
Total Load Time
39
HTTP Requests
11
Domains
924 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:5,033 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate70% confidence
Type: dynamic
Method: structural

All Detected Categories

corporate
70%
news/blog
60%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
39188.114.97.3UnknownUnknown
0172.67.180.98UnknownUnknown
0150.171.28.10UnknownUnknown
0162.159.141.224UnknownUnknown
0172.217.18.22UnknownUnknown
0108.138.26.64UnknownUnknown
0104.21.18.46UnknownUnknown
0176.9.114.118UnknownUnknown
0172.66.136.209UnknownUnknown
0136.243.106.228UnknownUnknown
3946--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10E234C3251EC08773A2F93D99161B31CB4ABAE30DA034BB671FA6114ABD5EF2417311E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:f9J6WQceWIJ1JxZdap6oTWZ0LLzEEJcRJ4B4H8gTx0QiO+/HUXz7Uf7zSjTMj+Vc:f36WQceWwPxapxTWsLzEEJcRJ4B4HfTK

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:46146:soCp1HlAEQEgMEoiBRIAGxaBgT4TAAQJZCxBcCTDogQBE05COSonAA3iCIwjmAEbWQJVB0BBKmgLGqGwgCIGIGHURQtgABYN

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:00e7ff8783878787
Perceptual Hash:bec953273551591c
Difference Hash:8c0f310e2747050d
Wavelet Hash:00c3ff8787878787
Color Hash:#501f93

Scan History

Scan history not available

Unable to load historical scan data