Summary
This website contacted 16 IPs in 2 countries across 4 domains to perform 83 HTTP transactions. The main domain is myslc.gov and was registered NaN years ago.
Submitted URL: https://www.myslc.gov/s/
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
Home
Scan Type
public
Language
English
Category
government public service
(78%)Domain Information
Domain 'www.myslc.gov' uses the United States government-restricted top-level domain (.gov) with subdomain 'www'. Count 5 characters in 'myslc' with zero vowels and five consonants. Splitting it apart reveals 3 words: my, s, lc. Median word length comes out to two characters. Most frequently, 'my' shows up in Afrikaans. You may catch it in Czech and Albanian as well.
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 | 142.250.185.200 | United States | AS15169GOOGLE |
| 5 | 35.158.127.51 | Frankfurt am Main, Hesse, Germany | AS16509AMAZON-02 |
| 5 | 35.158.127.53 | Frankfurt am Main, Hesse, Germany | AS16509AMAZON-02 |
| 5 | 35.158.127.52 | Frankfurt am Main, Hesse, Germany | AS16509AMAZON-02 |
| 5 | 23.50.131.147 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 5 | 172.64.149.114 | United States | AS13335CLOUDFLARENET |
| 5 | 23.50.131.148 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 5 | 2606:4700:440c::6812:268e | United States | AS13335CLOUDFLARENET |
| 5 | 104.18.38.142 | United States | AS13335CLOUDFLARENET |
| 5 | 2a02:26f0:3500:18::1724:a29f | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 83 | 16 | - | - |
Detected Technologies1
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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