Security Scan Report: www.townofrossca.gov

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Submitted: Oct 30, 2025, 8:37:19 AMCompleted: Oct 30, 2025, 8:38:22 AMpubliccompleted
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Summary

This website contacted 40 IPs in 2 countries across 9 domains to perform 95 HTTP transactions. The main domain is townofrossca.gov and was registered NaN years ago.

Submitted URL: https://www.townofrossca.gov/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Official government domain (townofrossca.gov)
Domain age 552 days (established)
No malicious Indicators of Compromise matches found
No credential or payment collection forms
Domain age information unavailable

Details

Page Title

Home Page | Town of Ross California

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government

(95%)

Domain Information

Within the United States government-restricted top-level domain (.gov), 'www.townofrossca.gov' is registered and includes subdomain 'www'. Count 12 characters in 'townofrossca' split between 4 vowels and 8 consonants. Segmentation suggests 4 words: town, of, ross, ca. Median word length is three characters. 'town' is most common in Chinese (Pinyin) usage. You will also see it in English and Romanian contexts.

Screenshot

Security scan screenshot of https://www.townofrossca.gov/

Page Load Overview

20.13s
Total Load Time
95
HTTP Requests
9
Domains
1.6 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
Text Length:2,533 chars
Detector Agreement:100%

Website Classification

Primary Category

government95% confidence
Type: dynamic
Method: structural

All Detected Categories

government
95%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
17142.250.185.234United States
AS15169GOOGLE
2142.250.185.142United States
AS15169GOOGLE
252.43.209.244Boardman, Oregon, United States
AS16509AMAZON-02
2162.221.183.17Buffalo, New York, United States
AS16509AMAZON-02
2195.181.170.18Frankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
2142.250.185.227United States
AS15169GOOGLE
2142.250.185.72United States
AS15169GOOGLE
279.127.211.90Frankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
2216.239.32.36United States
AS15169GOOGLE
252.36.222.42Boardman, Oregon, United States
AS16509AMAZON-02
9540--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18863D82198F03837015752E5B124AB2AEFA3E752D50B0D81F3FD96A71BC9DA67C8319C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:LECi791ZSHVU8JN9PPWF8X528D9D+NKH47tk/yp1r1Z1f171a1H121W1Uj1X2N1c:LECi791ZS3P68GQH47tb4N/VUIMe8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:66742:DhaIkQYqERgAUnEQcJJzACRgJQQgIgllQgB0gkoAY4+LBBKgADEKiAFAFCRACAOBqdYPsQwBIBQIEiENVCAhIKBiLOMm5kFI

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:ff000001ffffffc3
Perceptual Hash:890ae4d2b6947dd5
Difference Hash:a3f3737b3aab9217
Wavelet Hash:7f000000fbffff81
Color Hash:#4084bf

Scan History

Scan history not available

Unable to load historical scan data