Security Scan Report: www.ucsf.edu

Submitted: Dec 12, 2025, 6:50:06 PMCompleted: Dec 12, 2025, 6:50:35 PMpubliccompleted
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Summary

This website contacted 4 IPs in 1 country across 1 domain to perform 5 HTTP transactions. The main domain is ucsf.edu and was registered NaN years ago.

Submitted URL: https://www.ucsf.edu/news/2023/07/425871/deadly-dust-engineered-stone-making-california-workers-sick

The Cisco Umbrella rank of the primary domain is #74,119 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 98%

0
Risk Score

The site is a legitimate UCSF news page with no security concerns.

Safety Factors
Established academic institution (UCSF)
High domain reputation and long registration history
Secure hosting with Cloudflare protection
Domain age information unavailable

Details

Bot Protection Detected

This website is protected by attention_required bot protection. Our scanner was challenged or blocked during access.

Page Title

Deadly Dust: Engineered Stone Is Making California Workers Sick | UC San Francisco

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education

(45%)

Domain Information

Domain 'www.ucsf.edu' uses the sponsored educational top-level domain (.edu) and includes subdomain 'www'. The registrable portion 'ucsf' spans 4 characters containing 1 vowel alongside three consonants. Tokenizing the label suggests two words: uc, sf. Average segment length settles at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.ucsf.edu/news/2023/07/425871/deadly-dust-engineered-stone-making-california-workers-sick

Page Load Overview

3.51s
Total Load Time
5
HTTP Requests
1
Domains
4 KB
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-US
Text Length:751 chars
Detector Agreement:100%

Website Classification

Primary Category

education45% confidence
Type: static
Method: ml+structural

All Detected Categories

education
45%
technology software
25%
news
15%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2104.18.21.13United States
AS13335CLOUDFLARENET
1104.18.20.13United States
AS13335CLOUDFLARENET
12606:4700::6812:140dUnited States
AS13335CLOUDFLARENET
12606:4700::6812:150dUnited States
AS13335CLOUDFLARENET
54--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T103A3C65255F03033425392E2656CEB39EBC34007DB485D00B2EE631E9FE6F56AE6722E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:ZYZXHF8mBecia0X0y8tClVZP1xrkEjW7NqqlApGhJMWrO8AjwIZb1iGfz9kC+iqC:ZYZXF82mqTNeP9hV

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:97995:GUeECoADgYFMDcWBIKHjiHDDgUAFrAwVVCkARDlI7BgWsQDICT+peggJyhDDoATQlgBAisFJEjEOAJUACwASmZIKg0hCwxPh

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:00ffffffffc3e3e3
Perceptual Hash:e59b64315e65314e
Difference Hash:4640dc9c9c968686
Wavelet Hash:00fc7f477f034343
Color Hash:#79d284

Scan History

Scan history not available

Unable to load historical scan data