ScanMalware.com

Security Scan Report: jonesjjessica.pages.dev

Submitted: Mar 13, 2026, 2:23:26 PMCompleted: Mar 13, 2026, 2:24:46 PMpubliccompleted
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Summary

This website contacted 15 IPs in 2 countries across 15 domains to perform 42 HTTP transactions. The main domain is jonesjjessica.pages.dev and was registered NaN years ago.

Submitted URL: https://jonesjjessica.pages.dev/hrlhk-social-security-cola-2025-medicare-increase-szziw/

AI Security Verdict

Low Risk

Confidence: 85%

2
Risk Score

Informational article about Social Security; no immediate threat, but monitor due to new subdomain and external POST.

Risk Factors
Subdomain on a free hosting platform (pages.dev) – could be newly created
Domain is unranked in Cisco Umbrella (low reputation)
Cross‑origin POST to an external domain (potential data sharing)
Safety Factors
No password, email, or payment fields
No malicious JavaScript or YARA malware patterns detected
Page declares itself as an article (og:type=article)
No Indicators of Compromise or network IDS alerts
Domain age information unavailable

Details

Page Title

Social Security Cola 2025 Medicare Increase - Jones J Jessica

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(59%)

Domain Information

You're looking at domain 'jonesjjessica.pages.dev' on the developer-focused generic top-level domain (.dev); it also runs on subdomain 'jonesjjessica'. The second-level label 'pages' is 5 characters long with two vowels and three consonants. Breaking it apart gives 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://jonesjjessica.pages.dev/hrlhk-social-security-cola-2025-medicare-increase-szziw/

Page Load Overview

2.63s
Total Load Time
42
HTTP Requests
16
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:5,080 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service59% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
59%
healthcare medical
59%
adult content
48%
finance banking
37%
corporate
35%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
14172.67.166.38United States
AS13335Cloudflare, Inc.
2188.114.97.3United States
AS13335Cloudflare, Inc.
2142.251.13.95United States
AS15169Google LLC
2172.66.169.241United States
AS13335Cloudflare, Inc.
2150.171.28.10United States
AS2635
2142.250.186.67United States
AS15169Google LLC
23.160.150.112United States
AS13335
2104.21.20.232United States
AS16509
2192.0.77.2San Francisco, California, United States
AS2635Automattic, Inc
22.21.65.10Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
4215--

Detected Technologies10

WordPressv6.4.3
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

T16B133936A1E504733E5F93D9A591735CE998E608C6028F7AB4FC6058AF88DF7017760D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:4GTGvGRGnZdap6sTJZ4OmnBGdfVecAjK5kGvPu/sLOfkNJ65mex:4GTGvGRG/apHTJ9mBGdfVecAjK5kGvPu

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:43025:GAoEAcCAxMbASRCAgoCFKExWPRXUEIIgiFDgQ3hNGhKGUQ/C0AehBEngAgYES1AdFRZggIYEkFAwCAIAiYmNARKhAG9ADlCY

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:ff00000000ffffff
Perceptual Hash:ba49b4cd34ccc9b4
Difference Hash:2385616105030f0f
Wavelet Hash:ff00000000ffffff
Color Hash:#6ce0d8

Other Hashes

Crop Resistant:2385616105030f0f,0121057169072101

Scan History

Scan history not available

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