Security Scan Report: williamsf1.tech

Redirected to: https://www.dot-tech.org/articles/the-next-era-of-higher-education.html?psystem=PW&domain=williamsf1.tech&oref=https%3A%2F%2Fwilliamsf1.tech%2F

Submitted: Feb 7, 2026, 2:13:46 AMCompleted: Feb 7, 2026, 2:15:19 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is dot-tech.org and was registered NaN years ago.

Submitted URL: https://williamsf1.tech

Effective URL: https://www.dot-tech.org/articles/the-next-era-of-higher-education.html?psystem=PW&domain=williamsf1.tech&oref=https%3A%2F%2Fwilliamsf1.tech%2FRedirected

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site with no security concerns; currently unreachable but poses no risk.

Safety Factors
Well‑established domain (>13 years old)
No malicious Indicators of Compromise detected
No password, email/username, or payment fields present
Meta tags are generic educational content, not brand impersonation
No JavaScript malware patterns detected
Domain age information unavailable

Details

Page Title

williamsf1.tech

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(98%)

Domain Information

Within the .tech top-level domain, 'williamsf1.tech' is registered while skipping any subdomain. Count 10 characters in 'williamsf1' with three vowels and six consonants; it also includes one digit. Segmentation suggests 2 words: williamsf, 1. Expect 5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://williamsf1.tech

Page Load Overview

7.33s
Total Load Time
8
HTTP Requests
4
Domains
185 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:63,605 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning98% confidence
Type: static
Method: ml+structural

All Detected Categories

education learning
98%
government public service
48%
documentation technical
41%
adult content
27%
corporate
25%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
83.33.130.190United States
AS16509Amazon.com, Inc.
81--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T154048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:KfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszc2bMy8OldQ:RhoC9JSqzzbs6o3Sj3gcrsI2eAe

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184466:KKByTCEE6mJAOKUwhAUfgURiRhAQhSEggg4gIQpQShAgwwRmQEgEoJUJAUGwBRLbspdBIoMBolAQhZ/CWMDEgHAi4AABFxKK

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:ffcfc3cfffffffff
Perceptual Hash:b3318ccccc673333
Difference Hash:00180c1800000000
Wavelet Hash:ffdfc3cf00000000
Color Hash:#1f9338

Other Hashes

Crop Resistant:00180c1800000000

Scan History

Scan history not available

Unable to load historical scan data