ScanMalware.com

Security Scan Report: www.riversidesheriff.org

Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/45cc8c94-4c35-4f1e-901c-218a2d1d3df2Domain and IP registration (RDAP)/api/v1/rdap/45cc8c94-4c35-4f1e-901c-218a2d1d3df2How often this domain was scanned/api/v1/domain/stats/riversidesheriff.orgScan history for this domain/api/v1/domain/history/riversidesheriff.org?limit=15
This website contacted 11 IPs in 1 country across 12 domains to perform 12 HTTP transactions. The main domain is riversidesheriff.org and was registered 24 years ago.

Submitted URL: https://www.riversidesheriff.org/439/Commission-on-Peace-Officer-Standards-Tr

The Cisco Umbrella rank of the primary domain is #661,905 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate government site; no security concerns detected.

Safety Factors (5)
Established domain with long registration history
No forms collecting sensitive data
No malicious Indicators of Compromise
HTTPS connection (secure transport)
Government agency domain
Domain age information unavailable

Details

Page Title

California Commission on Peace Officer Standards & Training (POST) | Riverside County Sheriff, CAother network

Scan Type

public

Domain Name Analysis

The domain 'www.riversidesheriff.org' uses the non-profit oriented generic top-level domain (.org) with subdomain 'www'. The core label 'riversidesheriff' covers 16 characters with six vowels and ten consonants. Splitting it apart reveals two words: riverside, sheriff. Expect 8 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.riversidesheriff.org/439/Commission-on-Peace-Officer-Standards-Tr

Page Load Overview

1.95s
Total Load Time
363 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en-US
Text Length:365 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software71% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
71%
documentation technical
39%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2142.250.201.67United States
AS13335Cloudflare, Inc.
1172.217.18.4United States
AS13335Cloudflare, Inc.
1104.18.33.158United States
AS13335Cloudflare, Inc.
1192.178.170.95United States
AS13335Cloudflare, Inc.
1108.138.7.81United States
AS13335Cloudflare, Inc.
1142.251.208.3United States
AS13335Cloudflare, Inc.
1216.58.206.42United States
AS13335Cloudflare, Inc.
113.107.246.44United States
AS13335Cloudflare, Inc.
1142.251.141.72United States
AS13335Cloudflare, Inc.
1216.198.54.3United States
AS13335Cloudflare, Inc.
1211--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T168A3F7A4BA086837805B31C8F5775614947A8331E7075C99FCBC83F0A7E9DF8D6B21A9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:jOPcA44SiiuGfckAYFX/MTHBXvTbZqhVg4SVptbtO5BD+1a30ftvfoB7dij:jZkSi+2ePx5BD+1a6tYB7C

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:105909:NoAhUASaAhjRIaoYIIDksiwDCOCCEkOEOQccbiiWGzhkEG4cBQPABhFBCS0IyvwSMQALMwCAOGwCA7ABNEUwwlFUMBAByURp

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:000000ffffffffff
Perceptual Hash:9602068fedb9b9b8
Difference Hash:eccc3c0a26373e26
Wavelet Hash:000000cfc3ffcfff
Color Hash:#7f40bf

Other Hashes

Crop Resistant:eccc3c0a26373e26,f4ecc8ccccf4f4f4

Scan History

Scan history not available

Unable to load historical scan data