Summary
This website contacted 34 IPs in 2 countries across 11 domains to perform 42 HTTP transactions. The main domain is scers.gov and was registered NaN years ago.
Submitted URL: https://www.scers.gov/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate government retirement system site with no security concerns.
Safety Factors
Details
Page Title
Sacramento County Employees' Retirement System - SCERS
Scan Type
public
Language
English
Category
government
(95%)Domain Information
The domain name 'www.scers.gov' uses the United States government-restricted top-level domain (.gov) with subdomain 'www'. The second-level label 'scers' is 5 characters long with 1 vowel and 4 consonants. Word splitting yields 2 words: sc, ers. Expect 2.5 characters per word on average. 'sc' is most common in English usage. You will also see it in Romanian and Galician contexts. Net impression: English phrase.
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 |
|---|---|---|---|
| 9 | 142.250.186.104 | United States | AS15169GOOGLE |
| 1 | 151.101.194.137 | San Francisco, California, United States | AS54113FASTLY |
| 1 | 184.24.77.146 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 216.239.32.36 | United States | AS15169GOOGLE |
| 1 | 142.250.185.163 | United States | AS15169GOOGLE |
| 1 | 216.239.34.36 | United States | AS15169GOOGLE |
| 1 | 184.24.77.156 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 142.250.184.232 | United States | AS15169GOOGLE |
| 1 | 23.185.0.3 | United States | AS54113FASTLY |
| 1 | 138.199.36.10 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 42 | 34 | - | - |
Detected Technologies16
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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