Security Scan Report: www.cityofsanrafael.org

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Submitted: Oct 28, 2025, 1:45:35 PMCompleted: Oct 28, 2025, 1:46:51 PMpubliccompleted
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Summary

This website contacted 62 IPs in 2 countries across 10 domains to perform 87 HTTP transactions. The main domain is cityofsanrafael.org and was registered NaN years ago.

Submitted URL: https://www.cityofsanrafael.org/october-28-2024-national-first-responders-day/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate municipal page with no security concerns.

Safety Factors
Established government domain
No malicious Indicators of Compromise
No sensitive data collection forms
Consistent branding with official city website
Domain age information unavailable

Details

Page Title

October 28, 2024 : National First Responders' Day - San Rafael

Scan Type

public

Language

πŸ‡ΊπŸ‡Έ

English

(80% confidence)

Category

news/blog

(70%)

Domain Information

You're looking at domain 'www.cityofsanrafael.org' on the non-profit oriented generic top-level domain (.org), featuring subdomain 'www'. The registrable portion 'cityofsanrafael' spans 15 characters split between six vowels and 9 consonants. Segmentation suggests 4 words: city, of, san, rafael. Median word length comes out to 3.5 characters. 'city' most strongly signals Chinese (Pinyin). Secondary signals appear in English and Dutch.

Screenshot

Security scan screenshot of https://www.cityofsanrafael.org/october-28-2024-national-first-responders-day/

Page Load Overview

20.39s
Total Load Time
87
HTTP Requests
10
Domains
1.3 MB
Total Size

Language Analysis

Primary Language

πŸ‡ΊπŸ‡ΈEnglish
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:2,579 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog70% confidence
Type: spa
Method: structural

All Detected Categories

news/blog
70%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
26151.101.1.195San Francisco, California, United States
AS54113FASTLY
1142.250.186.106United States
AS15169GOOGLE
1216.239.34.36United States
AS15169GOOGLE
1142.250.185.195United States
AS15169GOOGLE
1142.250.185.170United States
AS15169GOOGLE
1142.250.186.59United States
AS15169GOOGLE
1104.198.152.237Council Bluffs, Iowa, United States
AS396982GOOGLE-CLOUD-PLATFORM
1142.250.185.202United States
AS15169GOOGLE
1142.250.185.251United States
AS15169GOOGLE
1142.250.186.74United States
AS15169GOOGLE
8762--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B883D723A054892E679B43CCF0E1F72891A6E353DA01D99077FC45A81F96EFC415BB1E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:N1XKxl0apIYK/tN1c/+rQOb3vJtMkubtSICqUWCXCJvbPBluOFs3uz//hppKj4au:NhceYOc/+rQOb3vJtpGttCqZUsa58yNA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:86105:lCXAaBISVrUwOAQMER6IAFBwmgEdaS9EFg+AeES6PSHoFJbCyBLFWkSAkAFGBGoIgoJ0AgPwTRhLhMAkJKxigTAEKCI4mACw

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:00efc7c7c7ffffff
Perceptual Hash:b0324f4f715c5c33
Difference Hash:d50c1e1e1e323602
Wavelet Hash:0087838383cbfbfb
Color Hash:#4062bf

Scan History

Scan history not available

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