Summary
This website contacted 10 IPs in 2 countries across 7 domains to perform 162 HTTP transactions. The main domain is lackawannany.gov and was registered NaN years ago.
Submitted URL: https://lackawannany.gov/
AI Security Verdict
Safe Website
Confidence: 92%
Legitimate municipal website; minor redirect anomaly but no real threat.
Risk Factors
Safety Factors
Details
Page Title
City of Lackawanna – Welcome to Lackawanna
Scan Type
public
Language
English
Category
government public service
(54%)Domain Information
The domain 'lackawannany.gov' uses the United States government-restricted top-level domain (.gov) while skipping any subdomain. The core label 'lackawannany' covers 12 characters split between four vowels and 8 consonants. Tokenizing the label suggests 2 words: lackawanna, ny. Expect 6 characters per word on average. 'ny' most often appears in Norwegian. Secondary signals appear in Danish and Swedish. Net impression: Norwegian 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 |
|---|---|---|---|
| 18 | 157.240.253.1 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 16 | 216.58.206.65 | United States | AS15169GOOGLE |
| 16 | 108.167.158.56 | Ashburn, Virginia, United States | AS19871NETWORK-SOLUTIONS-HOSTING |
| 16 | 157.240.0.35 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 16 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 16 | 2a03:2880:f084:105:face:b00c:0:3 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 16 | 2a03:2880:f083:100:face:b00c:0:3 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 16 | 142.250.186.65 | United States | AS15169GOOGLE |
| 16 | 2a00:1450:4001:82f::2001 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 16 | 2a03:2880:f177:185:face:b00c:0:25de | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 162 | 10 | - | - |
Detected Technologies5
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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