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Security Scan Report: andretdavisj.pages.dev

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Submitted: Nov 23, 2025, 8:52:31 AMCompleted: Nov 23, 2025, 8:53:40 AMpubliccompleted
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Summary

This website contacted 56 IPs in 3 countries across 15 domains to perform 42 HTTP transactions. The main domain is andretdavisj.pages.dev and was registered NaN years ago.

Submitted URL: https://andretdavisj.pages.dev/ygtzv-social-security-2025-cost-of-living-raise-announcement-jmpbp/

AI Security Verdict

High Risk

Confidence: 92%

7
Risk Score

Impersonates Social Security on an unranked domain; high‑risk phishing site.

Risk Factors
Brand impersonation of Social Security on a non‑official, unranked domain
Unranked domain presenting government‑agency content
Potential social‑engineering to lure users seeking cost‑of‑living raise information
Domain age information unavailable

Details

Page Title

Social Security 2025 Cost Of Living Raise Announcement - Andre T Davis

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news/blog

(30%)

Domain Information

Within the developer-focused generic top-level domain (.dev), 'andretdavisj.pages.dev' is registered with subdomain 'andretdavisj'. Count 5 characters in 'pages' split between 2 vowels and 3 consonants. Segmentation suggests 1 word: pages. Average segment length settles at five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://andretdavisj.pages.dev/ygtzv-social-security-2025-cost-of-living-raise-announcement-jmpbp/

Page Load Overview

1.15s
Total Load Time
42
HTTP Requests
15
Domains
1.5 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:3,382 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog30% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

news/blog
30%
government public service
25%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
24188.114.97.3United States
AS13335CLOUDFLARENET
4172.67.180.98United States
AS13335CLOUDFLARENET
2104.19.154.92United States
AS13335CLOUDFLARENET
1146.75.122.152Frankfurt am Main, Hesse, Germany
AS54113FASTLY
1172.66.40.220United States
AS13335CLOUDFLARENET
1172.66.136.209United States
AS13335CLOUDFLARENET
199.84.152.27United States
AS16509AMAZON-02
152.219.158.26Mumbai, Maharashtra, India
AS16509AMAZON-02
1185.111.111.155Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
1150.171.27.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
4256--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T125233D3252E815B33B4F93D998E1B308B9A5A215CB025F6E35FD52686FC4DFA41B310E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:6THZdapz4CQhbpBQPK8ZjGNU4kSTIZLS/zo7KFpmpF+4BUzAMTgzJvF:6LapI/TI8/WKFpcF+qxM8zJvF

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:47237:skFUZGLKCJIkgAESCQroFkEQRgBIAInksZxBBCFmowRSDLg4WBAE9EwAFAxxSAYguIDFI+RIwHCTKM3ElDEE2wADJBDEiS+C

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:00ffff878383e3e7
Perceptual Hash:a71a536639764966
Difference Hash:296d1d3707074f47
Wavelet Hash:009fff838383a3e3
Color Hash:#b587c5

Other Hashes

Crop Resistant:296d1d3707074f47,812181b1b1810101,033373524e783938

Scan History

Scan history not available

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