Summary
This website contacted 31 IPs in 4 countries across 10 domains to perform 35 HTTP transactions. The main domain is bakercity.gov and was registered NaN years ago.
Submitted URL: https://bakercity.gov/
Effective URL: https://bakercity.gov/landerRedirected
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate parked page with no malicious activity.
Safety Factors
Details
Page Title
N/A
Scan Type
public
Language
English
Category
government
(95%)Domain Information
Within the United States government-restricted top-level domain (.gov), 'bakercity.gov' is registered with no subdomain. The core label 'bakercity' covers 9 characters split between three vowels and six consonants. It segments into 2 words: baker, city. Median word length comes out to 4.5 characters. 'baker' is most common in Chinese (Pinyin) usage. It also appears in English and Malay contexts. Taken together, it feels Chinese (Pinyin).
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 | 23.207.210.143 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 52.19.69.172 | Dublin, Leinster, Ireland | AS16509AMAZON-02 |
| 1 | 15.206.63.4 | Mumbai, Maharashtra, India | AS16509AMAZON-02 |
| 1 | 18.66.122.78 | United States | AS16509AMAZON-02 |
| 1 | 52.222.236.60 | United States | AS16509AMAZON-02 |
| 1 | 23.207.210.148 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 18.66.122.116 | United States | AS16509AMAZON-02 |
| 1 | 15.197.148.33 | United States | AS16509AMAZON-02 |
| 1 | 13.226.244.19 | United States | AS16509AMAZON-02 |
| 1 | 52.210.18.138 | Dublin, Leinster, Ireland | AS16509AMAZON-02 |
| 35 | 31 | - | - |
Detected Technologies2
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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