Security Scan Report: annefnealj.pages.dev

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Submitted: Jan 7, 2026, 5:23:45 PMCompleted: Jan 7, 2026, 5:24:58 PMpubliccompleted
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Summary

This website contacted 12 IPs in 1 country across 14 domains to perform 33 HTTP transactions. The main domain is annefnealj.pages.dev and was registered NaN years ago.

Submitted URL: https://annefnealj.pages.dev/lotwz-social-security-2025-calendar-pdf-download-pdwph/

AI Security Verdict

High Risk

Confidence: 80%

8
Risk Score

Potential phishing site impersonating Social Security; avoid interaction.

Risk Factors
Impersonation of the Social Security Administration on a non‑official domain
Unranked/low‑reputation domain presenting a major brand
Potential malicious PDF download without verification
Domain age information unavailable

Details

Page Title

Social Security 2025 Calendar Pdf Download - Anne F Neal

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(46%)

Domain Information

You're looking at domain 'annefnealj.pages.dev' on the developer-focused generic top-level domain (.dev), featuring subdomain 'annefnealj'. The core label 'pages' covers 5 characters containing two vowels alongside 3 consonants. Splitting it apart reveals one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://annefnealj.pages.dev/lotwz-social-security-2025-calendar-pdf-download-pdwph/

Page Load Overview

5.35s
Total Load Time
33
HTTP Requests
14
Domains
2.7 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:3,521 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service46% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
46%
adult content
36%
news/blog
30%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11172.66.47.10United States
AS13335CLOUDFLARENET
2150.171.27.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
2172.66.40.135United States
245.223.102.78United States
AS19551INCAPSULA
2192.185.5.168United States
AS19871NETWORK-SOLUTIONS-HOSTING
254.158.232.109Ashburn, Virginia, United States
AS14618AMAZON-AES
2104.20.23.96United States
AS13335CLOUDFLARENET
2160.153.0.38United States
AS209242Cloudflare London, LLC
2216.58.206.33United StatesUnknown
2172.67.180.98United States
AS13335CLOUDFLARENET
3312--

Detected Technologies12

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D113093261E910733B8F83E59972B71DE965B506CA035E2631FC6A14DF90EF740A31AE

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:zFDir+DiQPahU5rr3ZdqZUaAWkWrPghplZZ7/d9xO8b4pzTF3Qb+GhuTM5a5kJuR:pViaZdapz0TlZDOI4/GhuI5OkJusg

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:43228:CCzODBAJP5BgDAVAe4EAGjIFAIIAQ0AGZJEhVVABgAcBARoCEhBuaGs8QE4WeoJYRYEA5WQ4AIBYdBEAElwE4ViKBOYDQSil

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:e7efff8787ffc7cf
Perceptual Hash:bec3c1e236c4cd38
Difference Hash:0c0f330f0f232b2b
Wavelet Hash:e7cf8b8783838383
Color Hash:#79d2ac

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data