Summary
This website contacted 34 IPs in 2 countries across 18 domains to perform 186 HTTP transactions. The main domain is nslcity.gov and was registered NaN years ago.
Submitted URL: https://nslcity.gov/
AI Security Verdict
Confirmed Scam
Confidence: 88%
Phishing page impersonating Google on a newly created .gov domain with circular redirects.
Risk Factors
Details
Page Title
North Salt Lake, UT - Official Website | Official Website
Scan Type
public
Language
English
Category
government
(48%)Domain Information
Within the United States government-restricted top-level domain (.gov), 'nslcity.gov' is registered with no subdomain. The core label 'nslcity' covers 7 characters containing one vowel alongside 6 consonants. Word splitting yields 3 words: n, sl, city. The median word length lands at two 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 |
|---|---|---|---|
| 70 | 208.90.188.181 | United States | AS36489NETSOLUS-NETWORKS |
| 47 | 157.240.0.63 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 27 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 8 | 157.240.253.1 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 5 | 142.250.186.131 | United States | AS15169GOOGLE |
| 5 | 13.107.213.44 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 5 | 2a00:1450:4001:82a::2003 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 5 | 2620:1ec:bdf::44 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 5 | 2a03:2880:f277:1c6:face:b00c:0:43fe | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 5 | 2a03:2880:f084:105:face:b00c:0:3 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 186 | 34 | - | - |
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects 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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