Security Scan Report: alvazconnor.pages.dev

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Submitted: Nov 26, 2025, 5:51:41 AMCompleted: Nov 26, 2025, 5:53:49 AMpubliccompleted
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Summary

This website contacted 41 IPs in 2 countries across 14 domains to perform 40 HTTP transactions. The main domain is alvazconnor.pages.dev.

Submitted URL: https://alvazconnor.pages.dev/pamhw-social-security-benefits-in-2025-payment-schedule-pdf-ifgin/

AI Security Verdict

Low Risk

Confidence: 80%

1
Risk Score

Site shows no malicious activity; low risk.

Safety Factors
No forms collecting sensitive data
No known malicious Indicators of Compromise
Page content appears to be informational only
Domain age information unavailable

Details

Page Title

Social Security Benefits In 2025 Payment Schedule Pdf - Alva Z Connor

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(31%)

Domain Information

You're looking at domain 'alvazconnor.pages.dev' on the developer-focused generic top-level domain (.dev), featuring subdomain 'alvazconnor'. The core label 'pages' covers 5 characters split between two vowels and 3 consonants. Tokenizing the label suggests 1 word: pages. Expect 5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://alvazconnor.pages.dev/pamhw-social-security-benefits-in-2025-payment-schedule-pdf-ifgin/

Page Load Overview

1.96s
Total Load Time
40
HTTP Requests
14
Domains
2.1 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:2,279 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content31% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

adult content
31%
news/blog
30%
education learning
30%
government public service
29%
healthcare medical
25%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
23172.66.47.89United States
AS13335CLOUDFLARENET
4172.67.166.38United States
AS13335CLOUDFLARENET
2172.67.71.34United States
AS13335CLOUDFLARENET
2172.66.134.99United States
AS13335CLOUDFLARENET
1142.250.186.33United States
AS15169GOOGLE
1104.21.62.69United States
AS13335CLOUDFLARENET
1172.67.153.117United States
AS13335CLOUDFLARENET
1146.75.121.140Frankfurt am Main, Hesse, Germany
AS54113FASTLY
1172.67.75.176United States
AS13335CLOUDFLARENET
1150.171.27.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
4041--

Detected Technologies5

WordPressv6.7.1
100%
JQueryv3.7.1
100%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A0232A3611DC14773A5E93ECD4A27B0DED6ADA30CA039A79B2F674149F80CF285A711E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:tMZdapSTTQZwiEEJ0Ogi147qRf8sHhofhvIIkAs/bVzve/Z/iOCJe0sn:t8apCTQbEEJ0Ogi14mhGs/bVzvjOCJeh

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:45896:JLgDBgQCrJjEoyKYANohnQUxNABkgigicmqPAKRCYzAAxMUBZYFCKkyGBEZmqFByRQMJeFEJkMxkDwwoDFgxLEFGEAGQQToH

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:00ffff00ffff8000
Perceptual Hash:ba247b904f5a0d7a
Difference Hash:29141761293a5951
Wavelet Hash:00ffff00ffff0000
Color Hash:#78703a

Scan History

Scan history not available

Unable to load historical scan data