Security Scan Report: sff.org

Submitted: Oct 31, 2025, 4:08:08 AMCompleted: Oct 31, 2025, 4:12:27 AMpubliccompleted
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Summary

This website contacted 56 IPs in 3 countries across 12 domains to perform 66 HTTP transactions. The main domain is sff.org and was registered NaN years ago.

Submitted URL: https://sff.org/openai-restructure/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The page appears legitimate with no security concerns.

Safety Factors
Long‑standing domain registration (since 1995)
No suspicious forms or credential collection
Content is informational news from a known nonprofit
Domain age information unavailable

Details

Page Title

News Round-Up: Challenging OpenAI restructure as for-profit company - The San Francisco Foundation

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news/blog

(35%)

Domain Information

You're looking at domain 'sff.org' on the non-profit oriented generic top-level domain (.org) and has no subdomain. Count 3 characters in 'sff' split between 0 vowels and 3 consonants. Segmentation suggests 2 words: s, ff. Median word length is 1.5 characters. 's' most strongly signals Czech. Usage also turns up in Slovak and Dutch contexts.

Screenshot

Security scan screenshot of https://sff.org/openai-restructure/

Page Load Overview

7.51s
Total Load Time
66
HTTP Requests
12
Domains
1.3 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
Text Length:5,210 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog35% confidence
Type: spa
Method: ml+structural

All Detected Categories

news/blog
35%
social media network
25%

Detected Features

Search
Articles
Comments
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
40141.193.213.21United States
AS209242Cloudflare London, LLC
83.215.172.219Ashburn, Virginia, United States
AS14618AMAZON-AES
4172.67.142.245United States
AS13335CLOUDFLARENET
3142.250.186.168United States
AS15169GOOGLE
2216.239.34.36United States
AS15169GOOGLE
154.68.19.150Boardman, Oregon, United States
AS16509AMAZON-02
144.241.246.251Boardman, Oregon, United States
AS16509AMAZON-02
152.54.96.194Ashburn, Virginia, United States
AS14618AMAZON-AES
154.156.13.80Ashburn, Virginia, United States
AS14618AMAZON-AES
1142.250.185.238United States
AS15169GOOGLE
6656--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D7630872538C587E132A53E4914AB218A5AB4A31DB4589A6F3FE813CF7D4EB9057330F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:RjWap/TPuj81ZXgiAlkpQ+NRQbv3VCT5TW8PWY8HRvwRzBRWDnqo5Ainu0cw+cAG:RdEaZX7AOPEhDnqo5ACuRw+cbz

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:70545:SN+AhgAUkBCwaODVBCSRxCIhEFQDZP6EOUgAoMZiMSIADE4AhXtDKANGBhBCMAKQHAuAEgYgqhA+BA0DKGMhZNDAIgwKJsln

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:b0ffc7dfc7c7c7cf
Perceptual Hash:b04c4f634e7c784e
Difference Hash:23cc1e361e1e1c1c
Wavelet Hash:9007c3d3c3c3c7c7
Color Hash:#4084bf

Other Hashes

Crop Resistant:23cc1e361e1e1c1c

Scan History

Scan history not available

Unable to load historical scan data