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Security Scan Report: davidtlintonr.pages.dev

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Submitted: Jan 5, 2026, 11:26:03 PMCompleted: Jan 5, 2026, 11:27:12 PMpubliccompleted
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Summary

This website contacted 20 IPs in 2 countries across 16 domains to perform 36 HTTP transactions. The main domain is davidtlintonr.pages.dev and was registered NaN years ago.

Submitted URL: https://davidtlintonr.pages.dev/lrgbs-social-security-survivor-benefits-calendar-2025-coasf/

AI Security Verdict

High Risk

Confidence: 92%

9
Risk Score

High‑risk phishing page impersonating Social Security; do not trust or provide any information.

Risk Factors
Brand impersonation on an untrusted domain
Link to a known malicious domain (pages.dev)
Unranked domain presenting a trusted government service
Domain age information unavailable

Details

Page Title

Social Security Survivor Benefits Calendar 2025 - David T Linton

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(51%)

Domain Information

Domain 'davidtlintonr.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'davidtlintonr'. Its registrable label 'pages' stretches across 5 characters holding 2 vowels versus three consonants. Segmentation suggests one word: pages. Median word length comes out to 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://davidtlintonr.pages.dev/lrgbs-social-security-survivor-benefits-calendar-2025-coasf/

Page Load Overview

2.60s
Total Load Time
43
HTTP Requests
16
Domains
684 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:3,227 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service51% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
51%
news/blog
30%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5142.251.141.118Germany
AS15169
2172.66.46.233United States
AS13335CLOUDFLARENET
2142.250.185.195Germany
AS24940
2150.171.27.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
2141.193.213.20United States
AS209242Cloudflare London, LLC
2172.67.180.98United States
AS13335CLOUDFLARENET
2142.250.186.118Germany
AS209242
223.36.162.205GermanyUnknown
2136.243.106.228GermanyUnknown
2150.171.28.10GermanyUnknown
4320--

Detected Technologies10

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

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12013E63265E82073271E83EDD961B31DE669D618CA03DF6571FCB558AF88DB600B324E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:E+IKwsDKw6kKwQDr13Gtzj8KwwJ5ZdapShhkST9Zf13YnKf5oEHwOmgP7aSNm6Ir:E+IKwmKwTKw+KwmapoT93YnKf5oEHwO2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:43442:qWC/kYICK2CQSqCLAkEElCgkIRFBAEA6WKcBGJCCQBwMEQAgBDhHSEBEIHY2pwrlYQcpAEjQIEbBRnMEB9bQMJyOHwmACGhR

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:ff0000000000ffff
Perceptual Hash:f050a687b9990fb3
Difference Hash:8ca4989195e26d6d
Wavelet Hash:ff4040584030ffff
Color Hash:#65ac53

Other Hashes

Crop Resistant:8ca4989195e26d6d,f8d830e3d331e4e8,b5a76a6272f6e6e6,a4849c909294e0e2

Scan History

Scan history not available

Unable to load historical scan data