Summary
This website contacted 10 IPs in 3 countries across 13 domains to perform 50 HTTP transactions. The main domain is secureserver.net and was registered NaN years ago.
Submitted URL: https://laurelcoky.gov/
Effective URL: https://www.secureserver.net/?pl_id=587739&isc=PLPPT02003&isRedirect=1Redirected
AI Security Verdict
High Risk
Confidence: 80%
High‑risk phishing site using a typo‑squatted .gov domain that redirects to a generic host.
Risk Factors
Details
Page Title
Knights Technologies
Scan Type
public
Language
English
Category
technology software
(88%)Domain Information
The domain name 'laurelcoky.gov' uses the United States government-restricted top-level domain (.gov) and has no subdomain. Count 10 characters in 'laurelcoky' with four vowels and 6 consonants. Splitting it apart reveals 3 words: laurel, co, ky. Median word length is 2 characters. No strong language cues emerged from the frequency lists.
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 |
|---|---|---|---|
| 5 | 13.127.102.26 | Mumbai, Maharashtra, India | AS16509AMAZON-02 |
| 5 | 23.207.210.148 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 5 | 76.223.67.189 | United States | AS16509AMAZON-02 |
| 5 | 44.232.228.214 | Boardman, Oregon, United States | AS16509AMAZON-02 |
| 5 | 142.251.38.68 | United States | AS15169GOOGLE |
| 5 | 23.67.132.85 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 5 | 23.207.210.143 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 5 | 142.251.38.66 | United States | AS15169GOOGLE |
| 5 | 52.26.59.44 | Boardman, Oregon, United States | AS16509AMAZON-02 |
| 5 | 216.58.209.193 | United States | AS15169GOOGLE |
| 50 | 10 | - | - |
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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