Security Scan Report: www.openipf.org

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Submitted: Nov 26, 2025, 8:52:12 PMCompleted: Nov 26, 2025, 8:54:33 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 7 HTTP transactions. The main domain is openipf.org and was registered NaN years ago.

Submitted URL: https://www.openipf.org/u/ethandietz

The Cisco Umbrella rank of the primary domain is #775,594 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site shows no security concerns and appears legitimate.

Safety Factors
Established domain age (>5 years)
No suspicious forms or data collection
No known malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

Ethan Dietz

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(39%)

Domain Information

You're looking at domain 'www.openipf.org' on the non-profit oriented generic top-level domain (.org); it also runs on subdomain 'www'. Its registrable label 'openipf' stretches across 7 characters with three vowels and 4 consonants. Splitting it apart reveals three words: open, ip, f. The median word length lands at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.openipf.org/u/ethandietz

Page Load Overview

0.55s
Total Load Time
7
HTTP Requests
1
Domains
27 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
Text Length:518 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content39% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
39%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
745.55.106.19North Bergen, New Jersey, United States
AS14061DIGITALOCEAN-ASN
71--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11291CD81E8D0C976C2AE55CAC5726D2DD8F1D323E5002C88FA6C4BF3AF66DA8C533495

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:TIwzUtsuGMD18AupB3GIHB2heYlUaTBUB/z8rDe6jLObtn:EOUtsQmfe7lTBuz8rDpjLin

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4558:CBcwacAYBCAAAAYCgAECABJAAAkAQm3ABAAIESKAAQAMAtiAbCgAoAVQRkABAIBEAJAEAQQAGAEvYNDAkEhAQAgMAEADBBFF

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:003f051dffffffff
Perceptual Hash:8f0f55707a7a7070
Difference Hash:22615d6505800100
Wavelet Hash:003f000081ffffff
Color Hash:#2d8686

Other Hashes

Scan History

Scan history not available

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