Summary
This website contacted 13 IPs in 3 countries across 5 domains to perform 56 HTTP transactions. The main domain is sf.streetsblog.org and was registered NaN years ago.
Submitted URL: https://sf.streetsblog.org/category/san-francisco-neighborhoods
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate site with no observable security threats.
Safety Factors
Details
Page Title
San Francisco Neighborhoods Archives - Streetsblog San Francisco
Scan Type
public
Language
English
Category
government public service
(36%)Domain Information
The domain 'sf.streetsblog.org' uses the non-profit oriented generic top-level domain (.org), featuring subdomain 'sf'. The registrable portion 'streetsblog' spans 11 characters containing 3 vowels alongside eight consonants. Segmentation suggests two words: streets, blog. Average segment length settles at 5.5 characters. 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 |
|---|---|---|---|
| 8 | 142.250.181.227 | United States | AS15169GOOGLE |
| 4 | 192.0.66.191 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 4 | 192.0.66.223 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 4 | 142.251.140.170 | United States | AS15169GOOGLE |
| 4 | 142.250.186.67 | United States | AS15169GOOGLE |
| 4 | 34.120.195.249 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 4 | 216.58.206.67 | United States | AS15169GOOGLE |
| 4 | 2a00:1450:4001:812::200a | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 4 | 216.58.206.74 | United States | AS15169GOOGLE |
| 4 | 2a04:fa87:fffd::c000:42bf | Ireland | AS2635AUTOMATTIC |
| 56 | 13 | - | - |
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects 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
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