Security Scan Report: ashtongoldsmithd.pages.dev

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Submitted: Dec 10, 2025, 7:55:52 PMCompleted: Dec 10, 2025, 7:56:34 PMpubliccompleted
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Summary

This website contacted 45 IPs in 3 countries across 14 domains to perform 37 HTTP transactions. The main domain is ashtongoldsmithd.pages.dev.

Submitted URL: https://ashtongoldsmithd.pages.dev/cpwik-social-security-payment-schedule-2025-june-pdf-rjsdy/

AI Security Verdict

Moderate Risk

Confidence: 72%

5
Risk Score

Page contains unrelated brand mention on a low‑reputation domain; no direct threats but warrants caution.

Risk Factors
Brand impersonation/typosquatting detected (Netflix mention on unrelated domain)
Unranked domain with low reputation
Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise detected
Static informational page with no interactive elements
Domain age information unavailable

Details

Page Title

Social Security Payment Schedule 2025 June Pdf - Ashton D. Goldsmith

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(71%)

Domain Information

Within the developer-focused generic top-level domain (.dev), 'ashtongoldsmithd.pages.dev' is registered and includes subdomain 'ashtongoldsmithd'. The second-level label 'pages' is 5 characters long containing two vowels alongside three consonants. Breaking it apart gives 1 word: pages. Median word length comes out to five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ashtongoldsmithd.pages.dev/cpwik-social-security-payment-schedule-2025-june-pdf-rjsdy/

Page Load Overview

20.05s
Total Load Time
37
HTTP Requests
14
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:3,065 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service71% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
71%
healthcare medical
57%
adult content
56%
documentation technical
50%
finance banking
44%

Detected Features

Search
Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
37192.0.77.2San Francisco, California, United States
AS2635AUTOMATTIC
0108.138.26.38United States
AS16509AMAZON-02
0172.240.127.234United States
AS7979SERVERS-COM
046.229.172.197Netherlands
AS39572DataWeb Global Group B.V.
0104.20.23.96United States
AS13335CLOUDFLARENET
0209.59.168.98United States
AS32244LIQUIDWEB
0172.67.180.98United States
AS13335CLOUDFLARENET
0150.171.27.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
0142.250.186.97United States
AS15169GOOGLE
0104.26.5.18United States
AS13335CLOUDFLARENET
3745--

Detected Technologies8

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T100030933A1B904763A9FC3ECC1957329BDA8D615DA034B6571FC22A85FC4CFA41A760E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:IJUZdapNXGCg4kYkxtSg4kYkK6XTZTBCgLyF/Oo6OeEWZXH:ZapRTKTZTBCNF/n6OeEWVH

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:41043:EkrkhgqAGEWkBghhBEBBgJcE0JRgaA/gVhcAIq4zJsODIE/QAUgKEmAhCy8FAYAJc0iEpqNECiWXWU8lQCWLSB0cQgqEFgEP

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:8e00dbcbc7c7c7c7
Perceptual Hash:b94e1212cdcdf896
Difference Hash:341f2b331b9b9b1b
Wavelet Hash:9e00dbc3cbc3c3c3
Color Hash:#87adc5

Other Hashes

Crop Resistant:341f2b331b9b9b1b

Scan History

Scan history not available

Unable to load historical scan data