Summary
This website contacted 14 IPs in 0 countries across 4 domains to perform 53 HTTP transactions. The main domain is townofgeddes.gov and was registered NaN years ago.
Submitted URL: https://townofgeddes.gov/
AI Security Verdict
Safe Website
Confidence: 88%
Legitimate municipal site with no apparent security threats.
Safety Factors
Details
Page Title
Town of Geddes - 1000 Woods Road Syracuse, NY 13209 (315) 468-3600
Scan Type
public
Language
English
Category
government public service
(64%)Domain Information
You're looking at domain 'townofgeddes.gov' on the United States government-restricted top-level domain (.gov) and has no subdomain. Its registrable label 'townofgeddes' stretches across 12 characters containing four vowels alongside 8 consonants. Tokenizing the label suggests four words: town, of, ged, des. Median word length is three 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 |
|---|---|---|---|
| 3 | 188.114.97.3 | Unknown | Unknown |
| 3 | 142.250.185.195 | Unknown | Unknown |
| 3 | 104.18.11.207 | Unknown | Unknown |
| 3 | 104.18.10.207 | Unknown | Unknown |
| 3 | 188.114.96.3 | Unknown | Unknown |
| 3 | 142.250.186.74 | Unknown | Unknown |
| 3 | 2606:4700::6812:acf | Unknown | Unknown |
| 3 | 2a00:1450:4001:813::200a | Unknown | Unknown |
| 3 | 2a00:1450:4001:82a::2003 | Unknown | Unknown |
| 3 | 2a06:98c1:3120::3 | Unknown | Unknown |
| 53 | 14 | - | - |
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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