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Security Scan Report: law.stanford.edu

Submitted: Oct 24, 2025, 10:25:41 AMCompleted: Oct 24, 2025, 10:29:58 AMpubliccompleted
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Summary

This website contacted 60 IPs in 3 countries across 15 domains to perform 89 HTTP transactions. The main domain is law.stanford.edu and was registered NaN years ago.

Submitted URL: https://law.stanford.edu/2024/10/07/stanfords-david-sklansky-on-special-prosecutor-jack-smiths-case-against-trump/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Established academic domain
No suspicious forms or data collection
No known malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

Stanford’s David Sklansky on Special Prosecutor Jack Smith’s Case Against Trump - Legal Aggregate - Stanford Law School

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education

(90%)

Domain Information

You're looking at domain 'law.stanford.edu' on the sponsored educational top-level domain (.edu) and includes subdomain 'law'. The registrable portion 'stanford' spans 8 characters with 2 vowels and six consonants. It segments into 1 word: stanford. The linguistic tilt is Danish for 'stanford'. It also appears in Indonesian and Icelandic contexts.

Screenshot

Security scan screenshot of https://law.stanford.edu/2024/10/07/stanfords-david-sklansky-on-special-prosecutor-jack-smiths-case-against-trump/

Page Load Overview

11.98s
Total Load Time
89
HTTP Requests
15
Domains
2.7 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:21,087 chars
Detector Agreement:100%

Website Classification

Primary Category

education90% confidence
Type: spa
Method: structural

All Detected Categories

education
90%
news/blog
70%
news
30%

Detected Features

Articles
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
48141.193.213.10United States
AS209242Cloudflare London, LLC
6184.24.77.156Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
635.156.155.172Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
4216.239.34.36United States
AS15169GOOGLE
4142.250.186.35United States
AS15169GOOGLE
2142.250.186.131United States
AS15169GOOGLE
2142.250.185.142United States
AS15169GOOGLE
2104.17.24.14United States
AS13335CLOUDFLARENET
2142.250.185.163United States
AS15169GOOGLE
2142.250.184.200United States
AS15169GOOGLE
8960--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1494450E10B4C78BD825E36C5104DF589A3976470CF5078E1B3BB936CDA0A78625FA3E6

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:GPz/WNjmeoxV0NQ38c+n39srhwi8g8uGaOmiTUfTShGhsk1k3CKWf:uaJvNXcAmSVw6mf

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:267026:YuEoB6SApRjceGTHIhVAAEA7lCCAEkoggAQF0sEJsxTgBACABJXAlGgQGVJwAhoFACigIhPeAMTWWBp4AQowvDGIrFQiiAAA

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:000000007effffff
Perceptual Hash:c20fe994463ded92
Difference Hash:c5d9c1e5d4949c93
Wavelet Hash:000030007effffff
Color Hash:#1f5993

Other Hashes

Crop Resistant:c5d9c1e5d4949c93,c427d9c9c165ecd4

Scan History

Scan history not available

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