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Security Scan Report: vcresearch.berkeley.edu

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Submitted: Sep 27, 2026, 5:19:19 PMCompleted: Sep 27, 2026, 5:20:16 PMpubliccompleted

Summary

API
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Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/75c8c72d-c6d4-4d60-92dc-9353ae0802beDomain and IP registration (RDAP)/api/v1/rdap/75c8c72d-c6d4-4d60-92dc-9353ae0802beCertificate Transparency/api/v1/ct/vcresearch.berkeley.eduHow often this domain was scanned/api/v1/domain/stats/vcresearch.berkeley.eduScan history for this domain/api/v1/domain/history/vcresearch.berkeley.edu?limit=15

This website contacted 14 IPs in 2 countries across 8 domains to perform 45 HTTP transactions. The main domain is vcresearch.berkeley.edu and was registered 21 years ago.

Submitted URL: https://vcresearch.berkeley.edu/faculty/stuart-russell

The Cisco Umbrella rank of the primary domain is #29,723 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 97%

0
Risk Score

Official UC Berkeley research subdomain hosting a faculty bio page for Prof. Stuart Russell. No forms capturing credentials, no IoCs, no malware. Fully legitimate.

Safety Factors (5)
41-year-old established .edu domain under UC Berkeley's official berkeley.edu
No credential, password, or payment forms (0 of each)
No cross-origin form submissions or credential exfiltration
Clean threat intelligence, JavaScript, and IDS results
Content is a legitimate academic faculty profile
Domain age information unavailable

Details

Page Title

Stuart J. Russell | Research UC Berkeleysecondary capture

Scan Type

public

Domain Name Analysis

The domain 'vcresearch.berkeley.edu' uses the sponsored educational top-level domain (.edu); it also runs on subdomain 'vcresearch'. Its registrable label 'berkeley' stretches across 8 characters split between 3 vowels and five consonants. It segments into one word: berkeley. The median word length lands at eight characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://vcresearch.berkeley.edu/faculty/stuart-russell

Page Load Overview

1.36s
Total Load Time
1.3 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:8,656 chars
Detector Agreement:80%

Website Classification

Primary Category

government public service63% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
63%
education
45%
corporate
35%
forum
20%

Detected Features

Search
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
623.185.0.2Fastly · CDNUnited States
AS54113Fastly, Inc.
3192.178.183.95Google · CDNUnited States
AS15169Google LLC
3104.18.1.22Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3188.114.96.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3142.251.14.97Google · CDNUnited States
AS15169Google LLC
3142.251.110.94Google · CDNUnited States
AS15169Google LLC
363.184.28.132Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
3216.239.34.36Google · CDNUnited States
AS15169Google LLC
3142.251.13.95Google · CDNUnited States
AS15169Google LLC
3188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4514--

Detected Technologies3

MetaGenerator
100%
Google-AnalyticsvUniversal
100%
Drupalv11
80%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1ADA3C72192F42236012352E12674F329E792D14BEE470885F3FC9B4E9FDAF119DA762D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:wU1PfySfeO37FXLW9jnACEPWeoQ3bFnsbCTQrTZilVdAZpm/wEFiK1B9b/KKPsbH:wU1PfySfe07FXCLEvWb4o4jA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:102570:MKwCCIasABAoAIgBQTRoRwEIyOClguYEBY9ID0AUSLMEJZjmFBRJxBAgAIEICgAJEww7YsAAhGB4ARgMeQCgQEAwM4BwUI4A

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:ffff8f878787ffff
Perceptual Hash:bec9c1343cc93393
Difference Hash:324e5d652d2d4d2d
Wavelet Hash:9f8705050707ff87
Color Hash:#3a7863

Other Hashes

Crop Resistant:324e5d652d2d4d2d,47cecc1c494929c9,190f0d1c7a7c3c3b

Scan History

Scan history not available

Unable to load historical scan data