Security Scan Report: abigailsmarch.pages.dev

Submitted: Apr 25, 2026, 12:34:17 AMCompleted: Apr 25, 2026, 12:35:28 AMpubliccompleted

This website contacted 13 IPs in 1 country across 16 domains to perform 33 HTTP transactions. The main domain is abigailsmarch.pages.dev and was registered 6 years ago.

Submitted URL: https://abigailsmarch.pages.dev/cluip-social-security-schedule-2025-calendar-yzqpz/

AI Security Verdict

Moderate Risk

Confidence: 78%

4
Risk Score

The site is an informational article with suspicious JavaScript but no phishing or malware evidence; moderate risk.

Risk Factors (4)
Unknown subdomain age
Unranked domain reputation
High JavaScript obfuscation
External cross‑origin request
Safety Factors (5)
No forms collecting passwords or payment data
No Indicators of Compromise matched
No JavaScript malware patterns detected
og:type=article indicates informational content
Self‑branding matches the subdomain (abigailsmarch)
Domain age information unavailable

Details

Page Title

Social Security Schedule 2025 Calendar - Abigail S. March

Scan Type

public

Domain Name Analysis

Domain 'abigailsmarch.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'abigailsmarch'. Count 5 characters in 'pages' split between 2 vowels and three consonants. Segmentation suggests one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://abigailsmarch.pages.dev/cluip-social-security-schedule-2025-calendar-yzqpz/

Page Load Overview

2.17s
Total Load Time
2.7 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en-US
Text Length:4,437 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service55% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
55%
healthcare medical
44%
adult content
36%
corporate
35%
news/blog
30%

Detected Features

Articles
Comments
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9172.240.108.68United States
AS7979Servers.com, Inc.
2134.209.45.143United States
AS14061DigitalOcean, LLC
2150.171.27.10United States
AS8075Microsoft Corporation
2172.66.44.227United States
AS13335Cloudflare, Inc.
2192.178.183.132United States
AS15169Google LLC
2104.20.23.96United States
AS13335Cloudflare, Inc.
2142.251.14.132United States
AS15169Google LLC
2172.67.75.142United States
AS13335Cloudflare, Inc.
2192.0.77.2San Francisco, California, United States
AS2635Automattic, Inc
2142.251.13.119United StatesUnknown
3313--

Detected Technologies10

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16303E77796DC01733A1E93FCD561B71CE965AA00CA034E69B2F8A514AF80EF681B718D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:yNU7qOHSoCdazUpC3ZdqZUaA2kWKghp4ZB7/dvvYxJyhDqII7HpRIa1NIn3tuv3v:EYNrZdapFhT4ZBexGDK3mtuv3kXJqL

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:40646:0yHyRpgCEA7EIBBJpgoHrAxHouBY4AgCiYQIPIMQoEgFUGqg0p8EJXSMAEBQRqYDUByq6jBAhK5B9I2YByoUgEk4GmwVErBR

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:00ffffc7c7c787ff
Perceptual Hash:b64b4b3c4b3e492c
Difference Hash:31b0680c2c1c2ef8
Wavelet Hash:007f7f070707037f
Color Hash:#73862d

Scan History

Scan history not available

Unable to load historical scan data