Security Scan Report: petrapmercadoc.pages.dev

Submitted: Nov 17, 2025, 3:44:31 AMCompleted: Nov 17, 2025, 3:47:59 AMpubliccompleted
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Summary

This website contacted 50 IPs in 0 countries across 17 domains to perform 70 HTTP transactions. The main domain is petrapmercadoc.pages.dev.

Submitted URL: https://petrapmercadoc.pages.dev/rpgjm-2025-social-security-payment-schedule-2025-dates-usa-2026-vtliq/

AI Security Verdict

Safe Website

Confidence: 80%

0
Risk Score

Legitimate site with no security threats detected.

Safety Factors
No collection of sensitive data (passwords, payment info, SSN)
Hosted on a reputable static site platform (pages.dev)
Unranked status not accompanied by other suspicious indicators
Domain age information unavailable

Details

Page Title

Social Security Payment Schedule 2025 Dates Usa - Petra P Mercado

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news/blog

(35%)

Domain Information

You're looking at domain 'petrapmercadoc.pages.dev' on the developer-focused generic top-level domain (.dev) with subdomain 'petrapmercadoc'. The registrable portion 'pages' spans 5 characters containing 2 vowels alongside 3 consonants. Word splitting yields one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://petrapmercadoc.pages.dev/rpgjm-2025-social-security-payment-schedule-2025-dates-usa-2026-vtliq/

Page Load Overview

190.81s
Total Load Time
70
HTTP Requests
17
Domains
866 KB
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:3,568 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog35% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

news/blog
35%
government public service
31%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
21172.66.44.158UnknownUnknown
1172.66.136.209UnknownUnknown
1172.66.40.135UnknownUnknown
182.98.157.73UnknownUnknown
145.223.102.78UnknownUnknown
1104.21.86.127UnknownUnknown
1172.67.180.98UnknownUnknown
1172.66.134.99UnknownUnknown
1172.67.71.34UnknownUnknown
192.113.16.72UnknownUnknown
7050--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F1431737219D183A3A1F63DDE190F798B65BEE30D5130A7631F625886BC0EF2066725E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:Cx2No3ap8T+lFc5+biwby/INX8yJGVJE8:CSSTYRJEJE8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:58018:JxsMKDMJQETSwQAASPBkcYpARKENoDbAwFYh3ErhkIRqEhJgwAfNmJ5TADpWKABAE4AiXMAciS+xHVRkEKGIpCENCJDCSeIw

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:8381ffffcbc3c3c3
Perceptual Hash:bc2e2c6dc6969692
Difference Hash:3313383b1b1b1b2b
Wavelet Hash:83818fcfc3c3c3c3
Color Hash:#d27992

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data