Security Scan Report: www.berkeleyside.org

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Submitted: Jun 29, 2026, 4:13:24 PMCompleted: Jun 29, 2026, 4:15:03 PMpubliccompleted
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Summary

This website contacted 13 IPs in 1 country across 13 domains to perform 2 HTTP transactions. The main domain is berkeleyside.org and was registered NaN years ago.

Submitted URL: https://www.berkeleyside.org/2026/04/01/mail-in-ballots-election-day-supreme-court-case

The Cisco Umbrella rank of the primary domain is #663,072 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 82%

2
Risk Score

Legitimate news article with a login form; low risk.

Risk Factors
Credential form with a password field
Safety Factors
Well‑established domain with long registration history
Self‑branding, not impersonating another brand
No malicious IoC, YARA, or IDS alerts
Article page (og:type=article) – no phishing intent
Standard minified JavaScript (high obfuscation score normal for production)
Domain age information unavailable

Details

Bot Protection Detected

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

Page Title

Supreme Court could ban counting of late arriving mail-in ballots

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(97%)

Domain Information

You're looking at domain 'www.berkeleyside.org' on the non-profit oriented generic top-level domain (.org) with subdomain 'www'. Its registrable label 'berkeleyside' stretches across 12 characters holding five vowels versus 7 consonants. Word splitting yields 2 words: berkeley, side. Expect six characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.berkeleyside.org/2026/04/01/mail-in-ballots-election-day-supreme-court-case

Page Load Overview

8.14s
Total Load Time
119
HTTP Requests
29
Domains
2.3 MB
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:9,325 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network97% confidence
Type: spa
Method: ml+structural

All Detected Categories

social media network
97%
government public service
62%
news/blog
50%
news media journalism
48%
forum community discussion
38%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11172.64.147.188United States
AS13335Cloudflare, Inc.
9192.0.66.154San Francisco, California, United States
AS2635Automattic, Inc
974.125.29.95United States
AS15169Google LLC
9192.0.78.24San Francisco, California, United States
AS2635Automattic, Inc
9216.239.38.223United States
AS15169Google LLC
934.102.182.180Kansas City, Missouri, United States
AS396982Google LLC
9192.0.77.2San Francisco, California, United States
AS2635Automattic, Inc
9192.0.77.37San Francisco, California, United States
AS2635Automattic, Inc
9192.0.66.2San Francisco, California, United States
AS2635Automattic, Inc
9104.18.0.22United States
AS13335Cloudflare, Inc.
11913--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EE645CA2515825FA1337135FE0DDB328B37E912AE74098C9F3FDC068D785E952CA264E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:98rR8vf8RP5K8iMkoup07nv9ut2TXLO3mZL7J3BszMfFSdalo+sGMAWSA7XBQfY7:9Bf2fv9ut2TX/Zz49G4u+

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:334668:BEloAKyDAUieBxAAwEKGrrhACogoAdEeAZIoSDCFPyiFF+oZIegoRiFIyDoBzBEQUA9GkGBI8AgW0gBYFVESGCsoAZAHIEEB

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:ffff000607070702
Perceptual Hash:b4cbe8abb4346629
Difference Hash:86c3ec2ccccd97a4
Wavelet Hash:ffff020607070f07
Color Hash:#5371ac

Scan History

Scan history not available

Unable to load historical scan data