Summary
This website contacted 170 IPs in 3 countries across 24 domains to perform 255 HTTP transactions. The main domain is harriscountyfws.org and was registered NaN years ago.
Submitted URL: https://www.harriscountyfws.org/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate site with no detected security concerns.
Safety Factors
Details
Page Title
Harris County Flood Warning System
Scan Type
public
Language
English
Category
unknown
(0%)Domain Information
The domain 'www.harriscountyfws.org' uses the non-profit oriented generic top-level domain (.org); it also runs on subdomain 'www'. Its registrable label 'harriscountyfws' stretches across 15 characters with four vowels and eleven consonants. Tokenizing the label suggests 4 words: harris, county, fw, s. Average segment length settles at 4 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 |
|---|---|---|---|
| 131 | 2.18.64.213 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 86 | 142.250.181.238 | United States | AS15169GOOGLE |
| 33 | 104.18.25.61 | United States | AS13335CLOUDFLARENET |
| 24 | 108.138.26.21 | United States | AS16509AMAZON-02 |
| 16 | 92.123.104.67 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 13 | 92.123.104.36 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 8 | 172.217.18.14 | United States | AS15169GOOGLE |
| 4 | 13.32.121.68 | New York, New York, United States | AS16509AMAZON-02 |
| 2 | 13.107.213.44 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 2 | 20.236.150.7 | San Antonio, Texas, United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 255 | 170 | - | - |
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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