Security Scan Report: jessicamhouston.pages.dev

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Submitted: Dec 8, 2025, 12:57:44 PMCompleted: Dec 8, 2025, 12:58:12 PMpubliccompleted
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Summary

This website contacted 44 IPs in 4 countries across 16 domains to perform 42 HTTP transactions. The main domain is jessicamhouston.pages.dev and was registered NaN years ago.

Submitted URL: https://jessicamhouston.pages.dev/wlgcfb-social-security-payment-schedule-2025-march-202-tnwwjt/

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

No security concerns detected; the site appears legitimate.

Safety Factors
Established domain age
No malicious Indicators of Compromise
No credential or payment collection fields
Domain age information unavailable

Details

Page Title

Social Security Payment Schedule 2025 March 202 - Jessica M Houston

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(63%)

Domain Information

The domain 'jessicamhouston.pages.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'jessicamhouston'. Count 5 characters in 'pages' with 2 vowels and 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://jessicamhouston.pages.dev/wlgcfb-social-security-payment-schedule-2025-march-202-tnwwjt/

Page Load Overview

13.58s
Total Load Time
42
HTTP Requests
16
Domains
2.3 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:3,603 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service63% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
63%
healthcare medical
45%
adult content
40%
education learning
38%
news/blog
35%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
42142.250.184.195United States
AS15169GOOGLE
0104.26.13.221United States
AS13335CLOUDFLARENET
0108.138.26.115United States
AS16509AMAZON-02
0172.217.208.95United States
AS15169GOOGLE
046.229.172.197Netherlands
AS39572DataWeb Global Group B.V.
0209.59.168.98United States
AS32244LIQUIDWEB
0172.66.40.135United States
AS13335CLOUDFLARENET
0172.66.47.172United States
AS13335CLOUDFLARENET
0107.161.190.200United States
AS33182DIMENOC
0172.66.44.84United States
AS13335CLOUDFLARENET
4244--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19133293350E814372FAFD3E8E4A17B18FF95920ACA031A6975FC65945F80DF646A360E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:9ap9GiTWPSQ4QU1IGHmTDIn7IZYzWqMGDJqYCxYh:s7TLQxrIJqYCxYh

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:54896:IZAkg3SAxkGR0IsCQCB0gGQYQlkAJQAEsB0TFWHnMHgJSiQBqA4QAAySgIkyoLAEgA2SN8BCAEMmaQLFAayDIoGXA4AB4JLJ

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:fffff9ffff878787
Perceptual Hash:b2c336b4c63b5a49
Difference Hash:0c0c7bd9b43c1c2c
Wavelet Hash:e7ff380e7e060606
Color Hash:#40bf80

Other Hashes

Crop Resistant:0c0c7bd9b43c1c2c

Scan History

Scan history not available

Unable to load historical scan data