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Security Scan Report: findlayoilers.com

Submitted: Dec 13, 2025, 7:33:41 PMCompleted: Dec 13, 2025, 7:34:28 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is findlayoilers.com and was registered NaN years ago.

Submitted URL: https://findlayoilers.com/

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Site appears legitimate with no security concerns.

Safety Factors
Established domain (>2 years)
Minimal risk category from hosting analysis
No forms collecting sensitive data
No external links or redirects
Domain age information unavailable

Details

Page Title

University of Findlay - Official Athletics Website

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(84%)

Domain Information

The domain name 'findlayoilers.com' uses the commercial generic top-level domain (.com) without a subdomain. The core label 'findlayoilers' covers 13 characters split between five vowels and 8 consonants. Word splitting yields 2 words: findlay, oilers. Average segment length settles at 6.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://findlayoilers.com/

Page Load Overview

8.14s
Total Load Time
3
HTTP Requests
1
Domains
N/A
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
Text Length:747 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software84% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
84%
documentation technical
61%
adult content
55%
government public service
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
245.60.11.99United States
AS19551INCAPSULA
145.60.101.99United States
AS19551INCAPSULA
32--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A735E73085F65C33459F52F256B67C46B6BE4503C6480D34FB9CCF982FF5A21E222A6A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24576:G340lCw1N1SJTEGTTTJXj+w3nXinD8h5u3/FeXW723K3TfsOyrTN3pBhtoufutq8:G340lCw1N1SJTEGTTTJiw3nXinD8h5ur

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1160177:clRhQXgBRYAiiyDAmxYFFdYEAIGGAAKEkYBeWVjBAQCjkCMz8JCSmAQhAIiYMAgg+IYAcmzJgCSywoJoCIIgRCJDgBelGuqk

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:ff3d003020183c3c
Perceptual Hash:ca2799b7e688341b
Difference Hash:7569e1e5e5a9f171
Wavelet Hash:ffff107030183c3c
Color Hash:#75783a

Scan History

Scan history not available

Unable to load historical scan data