Summary
API
Submitted URL: https://ww2.kqed.org/news/2026/06/13/san-francisco-has-been-trying-to-leave-pge-for-100-years-will-this-time-be-different/
The Cisco Umbrella rank of the primary domain is #113,263 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
The site is a legitimate news article from KQED with no malicious indicators.
Safety Factors (4)
Details
Page Title
San Francisco Has Been Trying to Leave PG&E for 100 Years. Will This Time Be Different? | KQED
Scan Type
public
Domain Name Analysis
The domain name 'ww2.kqed.org' uses the non-profit oriented generic top-level domain (.org); it also runs on subdomain 'ww2'. The core label 'kqed' covers 4 characters holding one vowel versus 3 consonants. Splitting it apart reveals one word: kqed. No strong language cues emerged from the frequency lists.
Screenshot

Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 26 | 34.242.179.191 | Dublin, Leinster, Ireland | AS16509Amazon.com, Inc. |
| 25 | 185.111.111.158 | Frankfurt am Main, Hesse, Germany | AS212238Datacamp Limited |
| 25 | 18.64.211.39 | United States | AS16509Amazon.com, Inc. |
| 25 | 142.251.153.119 | United States | AS15169Google LLC |
| 25 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934Facebook, Inc. |
| 25 | 23.67.140.82 | Frankfurt am Main, Hesse, Germany | AS16625Akamai Technologies, Inc. |
| 25 | 34.98.103.11 | Kansas City, Missouri, United States | AS396982Google LLC |
| 25 | 34.95.94.56 | Kansas City, Missouri, United States | AS396982Google LLC |
| 25 | 35.244.210.32 | Kansas City, Missouri, United States | AS396982Google LLC |
| 25 | 157.240.0.174 | Frankfurt am Main, Hesse, Germany | AS32934Facebook, Inc. |
| 251 | 10 | - | - |
Detected Technologies20
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data