ScanMalware.com

Security Scan Report: hai.stanford.edu

Submitted: Oct 31, 2025, 7:09:50 AMCompleted: Oct 31, 2025, 7:13:17 AMpubliccompleted
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Summary

This website contacted 34 IPs in 2 countries across 7 domains to perform 107 HTTP transactions. The main domain is hai.stanford.edu and was registered NaN years ago.

Submitted URL: https://hai.stanford.edu/news/universities-must-reclaim-ai-research-for-the-public-good

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate Stanford article with no security concerns.

Safety Factors
Domain hai.stanford.edu is a subdomain of the well‑established stanford.edu (over 40 years old)
No credential or payment forms present
No malicious Indicators of Compromise matches found
Content matches official Stanford HAI page title and meta description
No redirect chains, no URL manipulation, and no brand impersonation
Domain age information unavailable

Details

Page Title

Universities Must Reclaim AI Research for the Public Good | Stanford HAI

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education

(90%)

Domain Information

You're looking at domain 'hai.stanford.edu' on the sponsored educational top-level domain (.edu), featuring subdomain 'hai'. The second-level label 'stanford' is 8 characters long split between two vowels and 6 consonants. It segments into 1 word: stanford. Average segment length settles at eight characters. 'stanford' most often appears in Danish. You may catch it in Indonesian and Icelandic as well. Taken together, it feels Danish with single-word simplicity.

Screenshot

Security scan screenshot of https://hai.stanford.edu/news/universities-must-reclaim-ai-research-for-the-public-good

Page Load Overview

2.61s
Total Load Time
107
HTTP Requests
7
Domains
3.6 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:10,175 chars
Detector Agreement:100%

Website Classification

Primary Category

education90% confidence
Type: static
Method: structural

All Detected Categories

education
90%
corporate
50%
news/blog
40%

Detected Features

Articles
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9199.84.152.114United States
AS16509AMAZON-02
899.84.152.115United States
AS16509AMAZON-02
718.157.207.220Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
313.226.244.71United States
AS16509AMAZON-02
33.67.131.60Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
3216.239.34.36United States
AS15169GOOGLE
3104.18.39.141United States
AS13335CLOUDFLARENET
399.84.152.64United States
AS16509AMAZON-02
399.84.152.126United States
AS16509AMAZON-02
3142.250.186.168United States
AS15169GOOGLE
10734--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T184C382B016407DEA61DFE84FBEEEE649629EC059DA0E467CC99C478F19C3D42D81BC90

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:LweLMqb6LDtNvbmZkiu97FJ436KrT2FzxNqSh8HSDICtNvCGF3Q6J:8hzmZiVpQ2ZxYIECF

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:124034:FGRIkQCQ3AsoCiPtAxcoRGQjCkDJwYEWTKQAAgABJ4gjEZBbCZCCJTxNHeLYBCAVWGCCBG3FIDiIUCvAKL4XUBQW2jc+KInI

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:00000000fcfdffff
Perceptual Hash:db24b4db4b3448d9
Difference Hash:2306268771713d7b
Wavelet Hash:00000001fdffffff
Color Hash:#40bf88

Other Hashes

Crop Resistant:2306268771713d7b,5c4c8c9b83a33232,353c983179d8c989,339b727677e4b999,212bd6262e907971

Scan History

Scan history not available

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