Security Scan Report: raymondrgossards.pages.dev

Site favicon
Submitted: Nov 13, 2025, 10:09:44 PMCompleted: Nov 13, 2025, 10:10:49 PMpubliccompleted
Loading additional data...

Summary

This website contacted 36 IPs in 4 countries across 15 domains to perform 29 HTTP transactions. The main domain is raymondrgossards.pages.dev.

Submitted URL: https://raymondrgossards.pages.dev/oukzb-social-security-benefits-2025-cola-increase-sgcpw/

AI Security Verdict

Low Risk

Confidence: 70%

2
Risk Score

Site shows no malicious activity but limited data; treat as low risk.

Risk Factors
Domain not in Cisco Umbrella top 1M
Domain age unknown
Safety Factors
No malicious Indicators of Compromise matches found
No credential or payment forms present
Page title appears generic and does not mimic a reputable brand
Domain age information unavailable

Details

Page Title

Social Security Benefits 2025 Cola Increase - Raymond R Gossard

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(49%)

Domain Information

The domain name 'raymondrgossards.pages.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'raymondrgossards'. The second-level label 'pages' is 5 characters long split between two vowels and 3 consonants. Splitting it apart reveals one word: pages. Median word length is five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://raymondrgossards.pages.dev/oukzb-social-security-benefits-2025-cola-increase-sgcpw/

Page Load Overview

32.76s
Total Load Time
29
HTTP Requests
15
Domains
309 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:3,668 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service49% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
49%
adult content
33%
healthcare medical
30%
news/blog
30%
news media journalism
25%

Detected Features

Articles
Comments
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
292.18.64.203Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
0139.59.95.188Bengaluru, Karnataka, India
AS14061DIGITALOCEAN-ASN
0188.114.96.3United States
AS13335CLOUDFLARENET
0104.21.3.64United States
AS13335CLOUDFLARENET
0146.75.122.132Frankfurt am Main, Hesse, Germany
AS54113FASTLY
0150.171.27.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
0188.114.97.3United States
AS13335CLOUDFLARENET
0104.19.154.92United States
AS13335CLOUDFLARENET
035.71.189.182United States
AS16509AMAZON-02
0104.21.18.46United States
AS13335CLOUDFLARENET
2936--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BF030B3292D910B63A8E83E9D562731CD6A9E604CB034AB771F8B05C9B84DFB41BB15D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:mcVFk3BKk3LHZdapzVST9ZuTXPuTwiFA8oaeOAjUu58hcnJqL:1VuxrjapkT9sTfu0wA8oaeOAjUu58hcC

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:39694:EiYALCgOjCHSRBHCCUIGAeGUAIk0gB0YDJDCwg0AICKoBQErHkOMkgLDzCEMAOaTaAzQShCmCSBOCEhSDRRCoJUCJBEEiQJS

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:00ff87878787f7ff
Perceptual Hash:b649c93e38666539
Difference Hash:39a00e2e3c2c2eba
Wavelet Hash:00ff8383838387ff
Color Hash:#783a66

Scan History

Scan history not available

Unable to load historical scan data