Security Scan Report: s4lab.stanford.edu

Submitted: Sep 19, 2026, 9:30:41 PMCompleted: Sep 19, 2026, 9:31:06 PMpubliccompleted

This website contacted 2 IPs in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is s4lab.stanford.edu and was registered 40 years ago.

Submitted URL: https://s4lab.stanford.edu/mal/video/XXXSEXPorn-Xxx-%E0%A4%B9%E0%A4%A6-%E0%A4%B8%E0%A4%95%E0%A4%B8-ov9ol.html

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

AI Security Verdict

Not Assessed

This page returned an error rather than content, so there was nothing to assess. This is not a statement that the site is safe.

Error or status pages carry no content to analyse. The site may still be active on another path.

Details

Page Title

Page not found · GitHub Pagessecondary capture

Scan Type

public

Domain Name Analysis

You're looking at domain 's4lab.stanford.edu' on the sponsored educational top-level domain (.edu) with subdomain 's4lab'. The registrable portion 'stanford' spans 8 characters containing 2 vowels alongside six consonants. It segments into 1 word: stanford. Average segment length settles at eight characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://s4lab.stanford.edu/mal/video/XXXSEXPorn-Xxx-%E0%A4%B9%E0%A4%A6-%E0%A4%B8%E0%A4%95%E0%A4%B8-ov9ol.html

Page Load Overview

5.35s
Total Load Time
6 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:54%
Script:Latin
Direction:ltr

Detection Details

Text Length:426 chars
Detector Agreement:100%

Website Classification

Primary Category

education45% confidence
Type: static
Method: ml+structural

All Detected Categories

education
45%
documentation technical
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1185.199.108.153Fastly · CDNUnited States
AS54113Fastly, Inc.
0185.199.110.153Fastly · CDNUnited States
AS54113Fastly, Inc.
12--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10D126D7F09E93305D8028E1539F227593D69440F9A866F6EB9AD1311CF8ED10E1A37CC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:B5wnb1iC9OA9XXMa9bYnr7JMkrALQDUnulGVopLAGCALQD6vnglET31iCLL3Z:BeB8Ht3DUulGmmv3D6vglETliCfJ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9365:gfMhQgeSCDI+H2BHugJQSCDAQFCEVlgBMRQIbohFg4ROUyxoQHxKGwIAWFFQcTAqIxNCASUABirGQ4QGJAJgdj7AzGSFABLg

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:e7e7c3e7ffffffff
Perceptual Hash:e666b39b8e666430
Difference Hash:080c0c0c00000000
Wavelet Hash:00000020f0f0f0f0
Color Hash:#931f8a

Other Hashes

Crop Resistant:080c0c0c00000000

Scan History

Scan history not available

Unable to load historical scan data