ScanMalware.com

Security Scan Report: toddjgoochd.pages.dev

Submitted: Nov 15, 2025, 8:39:47 AMCompleted: Nov 15, 2025, 8:41:28 AMpubliccompleted
Loading additional data...

Summary

This website contacted 43 IPs in 0 countries across 16 domains to perform 41 HTTP transactions. The main domain is toddjgoochd.pages.dev.

Submitted URL: https://toddjgoochd.pages.dev/rqbpb-social-security-increase-2025-increase-chart-jsdcf/

AI Security Verdict

Low Risk

Confidence: 80%

2
Risk Score

Informational page on an untrusted domain; low risk but not a trusted source for official Social Security data.

Risk Factors
Potential brand impersonation of a U.S. government agency on a non‑government domain
Safety Factors
No forms collecting sensitive data
No external links or redirects
No malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

Social Security Increase 2025 Increase Chart - Todd J Gooch

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news/blog

(70%)

Domain Information

Domain 'toddjgoochd.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'toddjgoochd'. The second-level label 'pages' is 5 characters long containing two vowels alongside three consonants. It segments into 1 word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://toddjgoochd.pages.dev/rqbpb-social-security-increase-2025-increase-chart-jsdcf/

Page Load Overview

72.58s
Total Load Time
41
HTTP Requests
16
Domains
1.4 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:3,727 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog70% confidence
Type: dynamic
Method: structural

All Detected Categories

news/blog
70%
corporate
70%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
41141.193.213.10UnknownUnknown
0172.66.47.198UnknownUnknown
023.185.0.1UnknownUnknown
0104.21.18.46UnknownUnknown
0172.66.134.99UnknownUnknown
0150.171.28.10UnknownUnknown
0167.114.50.130UnknownUnknown
0172.66.44.58UnknownUnknown
0104.26.15.73UnknownUnknown
0173.236.141.159UnknownUnknown
4143--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D653E6A6808521365D0B9B9657CD660CD979AE22CE020E5A73BE201C9FC5FF913E321F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:zMVM6MVM+MVMfMVMnMVMsMVMUMVMvsptIJapdTIot58EAV3Gis3MuWoW8KjV41Pu:AvTtbMuQUpJXt0wC

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:61862:xAAAHUAseDFACBIn10BoYBQPA4IAKJAASCstKSQQERRAxN9CDuAAcAhp9NVIUyICMBgctEgBDYgJzDqAUJBmwBoEDozBUMQo

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:0083ffc78783879f
Perceptual Hash:bcc349361ae38dc6
Difference Hash:8c17062d2d2f2f32
Wavelet Hash:0083ff878783879f
Color Hash:#e0946c

Other Hashes

Crop Resistant:8c17062d2d2f2f32,0000000000000000,9cf2f0f8e28e38f4

Scan History

Scan history not available

Unable to load historical scan data