Security Scan Report: news.stanford.edu

Submitted: Nov 5, 2025, 5:12:26 AMCompleted: Nov 5, 2025, 5:12:41 AMpubliccompleted
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Summary

This website contacted 0 IPs in 0 countries across 0 domains to perform 0 HTTP transactions. The main domain is news.stanford.edu.

Submitted URL: https://news.stanford.edu/stories/2025/10/basketball-guard-benny-gealer

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Domain is part of the official Stanford University website
No malicious Indicators of Compromise matches found
No forms collecting sensitive data
Domain reputation is high despite being unranked in Cisco Umbrella
Domain age information unavailable

Details

Page Title

Cardinal basketball guard Benny Gealer embraces the moment | Stanford Report

Scan Type

public

Language

🇧🇩

BN

(100% confidence)

Category

education

(45%)

Domain Information

The domain 'news.stanford.edu' uses the sponsored educational top-level domain (.edu), featuring subdomain 'news'. The registrable portion 'stanford' spans 8 characters holding two vowels versus 6 consonants. Splitting it apart reveals 1 word: stanford. Expect 8 characters per word on average. The linguistic tilt is Danish for 'stanford'. Secondary signals appear in Indonesian and Icelandic.

Screenshot

Security scan screenshot of https://news.stanford.edu/stories/2025/10/basketball-guard-benny-gealer

Page Load Overview

12.21s
Total Load Time
0
HTTP Requests
0
Domains
N/A
Total Size

Language Analysis

Primary Language

🇧🇩Bengali
Code: bn
Confidence:100%
Script:Unknown
Direction:ltr

Detection Details

Language Code:bn
Detection Confidence:100%
Script Type:Unknown
Text Length:22,679 chars
Detector Agreement:100%

Website Classification

Primary Category

education45% confidence
Type: static
Method: ml+structural

All Detected Categories

education
45%
other
31%
malicious
27%
suspicious phishing
26%

Detected Features

No structural features detected

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11604E7614270A5BD8307A3FAF2A97FB160DDF497CB934C4CB6FC01B49F91C6A6502689

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:H90NTYdFhNuSAmdg3/6G1m/pmXuD73WJJkMI9B8rlvPYh2kfwGyuZaaKw0YCrQYg:7zTGzkJBSYh2kfwsaXre

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:174037:WWnBY5gnkKllCzoZ7A5ZiCAgCEQ6RUETuAgjALBJAKCUcPOZCAELVagVZDQAAgWYAaRJXQKlM5NShuMwWyhzCxpEMngfohAl

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:c0ffffc3ffc381db
Perceptual Hash:bf946b3a843bc06a
Difference Hash:0d082327162b3b33
Wavelet Hash:00ffffc3c7818183
Color Hash:#931f5b

Scan History

Scan history not available

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