Security Scan Report: richierstanfordm.pages.dev

Submitted: Nov 14, 2025, 8:27:06 PMCompleted: Nov 14, 2025, 8:27:54 PMpubliccompleted
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Summary

This website contacted 53 IPs in 0 countries across 17 domains to perform 42 HTTP transactions. The main domain is richierstanfordm.pages.dev.

Submitted URL: https://richierstanfordm.pages.dev/ypsrh-social-security-payment-schedule-may-2025-pdf-fggtr/

AI Security Verdict

Safe Website

Confidence: 85%

1
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
No malicious Indicators of Compromise matches found
No credential or payment collection forms present
Content appears to be informational and does not impersonate known brands
Domain age information unavailable

Details

Page Title

Social Security Payment Schedule May 2025 Pdf - Richie R Stanford

Scan Type

public

Language

๐Ÿ‡บ๐Ÿ‡ธ

English

(80% confidence)

Category

corporate

(35%)

Domain Information

Domain 'richierstanfordm.pages.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'richierstanfordm'. The registrable portion 'pages' spans 5 characters containing two vowels alongside 3 consonants. Breaking it apart gives one word: pages. Average segment length settles at five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://richierstanfordm.pages.dev/ypsrh-social-security-payment-schedule-may-2025-pdf-fggtr/

Page Load Overview

12.92s
Total Load Time
42
HTTP Requests
17
Domains
1.2 MB
Total Size

Language Analysis

Primary Language

๐Ÿ‡บ๐Ÿ‡ธEnglish
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:3,190 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate35% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

corporate
35%
government public service
33%

Detected Features

Search
Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
42150.171.27.10UnknownUnknown
0150.171.28.10UnknownUnknown
02.16.2.32UnknownUnknown
0142.250.186.163UnknownUnknown
0172.67.180.98UnknownUnknown
0209.59.168.98UnknownUnknown
0142.250.185.193UnknownUnknown
0172.67.75.142UnknownUnknown
0108.138.26.109UnknownUnknown
045.223.102.78UnknownUnknown
4253--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AB030933A1A910377A9F83ECD1927328E968E611CA039B7574FC71645F84DF601BB25E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:bqrqUUd2WX8Z6BNOMu4C0kZdqZUaAVkW8ghnAuFNYpD56pyz/DA3FJxRetn3yWbN:e7Zdap6/Y6yzExSn3yWbsaGx9yoKlZXB

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:38428:AQXDCi4Sa5DeiFBdUoAIgkiYQAAGFHTohdYhEBYBIV4kiIbhRAkImDAGICpAmY5yBaNgwwQiABsOBjVMJNIgtXmhMqQAkRSZ

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:ff0000000000ffff
Perceptual Hash:bb43b5c1bad089b4
Difference Hash:4969492969690c6d
Wavelet Hash:ff01018d0101ffff
Color Hash:#501f93

Other Hashes

Crop Resistant:4969492969690c6d

Scan History

Scan history not available

Unable to load historical scan data