Summary
This website contacted 72 IPs in 2 countries across 22 domains to perform 104 HTTP transactions. The main domain is in.gov.
Submitted URL: https://www.in.gov/fssa/dfr/snap-food-assistance/
The Cisco Umbrella rank of the primary domain is #42,288 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
The site appears to be an official Indiana government page about SNAP assistance and shows no signs of malicious activity.
Safety Factors
Details
Page Title
FSSA: DFR: SNAP (Food Assistance)
Scan Type
public
Language
English
Category
government
(95%)Domain Information
The domain 'www.in.gov' uses the United States government-restricted top-level domain (.gov), featuring subdomain 'www'. Its registrable label 'in' stretches across 2 characters with one vowel and one consonant. Breaking it apart gives 1 word: in. Most frequently, 'in' shows up in Slovenian. Secondary signals appear in Italian and English. Taken together, it feels Slovenian with single-word simplicity.
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 |
|---|---|---|---|
| 33 | 142.250.186.42 | United States | AS15169GOOGLE |
| 1 | 172.66.144.196 | United States | AS13335CLOUDFLARENET |
| 1 | 142.250.185.202 | United States | AS15169GOOGLE |
| 1 | 18.245.31.52 | United States | AS16509AMAZON-02 |
| 1 | 3.174.46.81 | United States | AS16509AMAZON-02 |
| 1 | 3.174.46.104 | United States | AS16509AMAZON-02 |
| 1 | 216.58.206.67 | United States | AS15169GOOGLE |
| 1 | 142.250.185.104 | United States | AS15169GOOGLE |
| 1 | 18.185.194.63 | Frankfurt am Main, Hesse, Germany | AS16509AMAZON-02 |
| 1 | 216.198.53.6 | United States | AS209242Cloudflare London, LLC |
| 104 | 72 | - | - |
Detected Technologies10
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
Scan History
Scan history not available
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