Security Scan Report: large.stanford.edu

Submitted: Dec 26, 2025, 3:14:09 AMCompleted: Dec 26, 2025, 3:15:52 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 large.stanford.edu and was registered NaN years ago.

Submitted URL: http://large.stanford.edu/courses/2018/ph241/joshua1/

The Cisco Umbrella rank of the primary domain is #29,835 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 98%

0
Risk Score

The site is a legitimate academic page with no security concerns.

Safety Factors
Established academic domain (large.stanford.edu)
No suspicious redirects or hidden fields
Content appears to be academic coursework
Domain age information unavailable

Details

Page Title

The Chernobyl Disaster

Scan Type

public

Language

🇺🇸

English

(58% confidence)

Category

education

(45%)

Domain Information

You're looking at domain 'large.stanford.edu' on the sponsored educational top-level domain (.edu) and includes subdomain 'large'. The second-level label 'stanford' is 8 characters long holding 2 vowels versus 6 consonants. Tokenizing the label suggests one word: stanford. Median word length is 8 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://large.stanford.edu/courses/2018/ph241/joshua1/

Page Load Overview

61.37s
Total Load Time
5
HTTP Requests
1
Domains
50 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:58%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:58%
Script Type:Latin
Text Length:4,116 chars
Detector Agreement:100%

Website Classification

Primary Category

education45% confidence
Type: static
Method: ml+structural

All Detected Categories

education
45%
documentation technical
39%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5171.67.100.116Los Gatos, California, United States
AS32STANFORD
51--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T179A1E83373452F725227A09A855E33EDE75C906E63A2682A344EC16D3743D3C877B2DA

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:4sKVcQFP7+tW4nIB3Iai0rsWLxZqCNz0rTL7byTz76yBHuXcIUQRZV0:4937683riMPZ16rTLymRRZS

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:5019:DCVxIEAAA6IgECAIiACQBWUAEKJSIAACGDJEEQFEACCBgIAEJECSFiGEAAIGgAgARIEsABIBxzBKwkCACEZAIQFAEBABQBrI

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:ffff7c7404ffffff
Perceptual Hash:d656a9ab56566055
Difference Hash:0c8cb4c484b87810
Wavelet Hash:e7e70c00001f1fff
Color Hash:#8e87c5

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data