Security Scan Report: scottmatthewyoder.com

Redirected to: https://scottmatthewyoder.com/1SFa

Submitted: Dec 6, 2025, 5:09:47 PMCompleted: Dec 6, 2025, 5:11:52 PMpubliccompleted
Loading additional data...

Summary

This website contacted 2 IPs in 1 country across 1 domain to perform 4 HTTP transactions. The main domain is scottmatthewyoder.com and was registered NaN years ago.

Submitted URL: http://scottmatthewyoder.com/1SFa

Effective URL: https://scottmatthewyoder.com/1SFaRedirected

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; the site appears legitimate.

Safety Factors
Long‑standing domain (>5 years)
No suspicious content or redirects
No credential or payment fields
Domain age information unavailable

Details

Page Title

Not Found

Scan Type

public

Language

🇺🇸

English

(65% confidence)

Category

other

(88%)

Domain Information

The domain 'scottmatthewyoder.com' uses the commercial generic top-level domain (.com) while skipping any subdomain. The second-level label 'scottmatthewyoder' is 17 characters long holding 5 vowels versus 12 consonants. Tokenizing the label suggests 4 words: scott, matthew, y, oder. Median word length is 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://scottmatthewyoder.com/1SFa

Page Load Overview

0.18s
Total Load Time
4
HTTP Requests
1
Domains
1 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:65%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:65%
Script Type:Latin
Text Length:58 chars
Detector Agreement:100%

Website Classification

Primary Category

other88% confidence
Type: static
Method: ml+structural

All Detected Categories

other
88%
malicious
51%
suspicious phishing
48%
e-commerce
39%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3198.51.233.1United States
AS395409NEOCITIES
22620:2:6000::bad:dab:cafeUnited States
AS395409NEOCITIES
42--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T163E0720FC0F30E0EA0608260ADC5F1104C8C8A0FAB268A903CC9922C8F8D299C4DBA8C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:qzxWYvfAbpli7vkMK0eRpL1Eg/T/qz5OsNAEdpsXfJtNzRdCPMCe9zHKqz:kxoy7o0eRXg4sAEdcJtNzRdMNe9

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:570b62c4ad1b6872dd01117eda7b99e8

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:3fffffffffffffff
Perceptual Hash:83070707070f1fff
Difference Hash:c000000000000000
Wavelet Hash:30f0f0f0f0f0f0f0
Color Hash:#1f9344

Other Hashes

Crop Resistant:c000000000000000

Scan History

Scan history not available

Unable to load historical scan data