Summary
This website contacted 2 IPs in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is aff.gov and was registered NaN years ago.
Submitted URL: https://www.aff.gov/
AI Security Verdict
Safe Website
Confidence: 95%
No security concerns detected; site appears legitimate.
Safety Factors
Details
Bot Protection Detected
This website is protected by forbidden bot protection. Our scanner was challenged or blocked during access.
Page Title
Automated Flight Following (AFF)
Scan Type
public
Language
Danish
Category
government
(95%)Domain Information
You're looking at domain 'www.aff.gov' on the United States government-restricted top-level domain (.gov) with subdomain 'www'. Its registrable label 'aff' stretches across 3 characters containing 1 vowel alongside two consonants. Segmentation suggests 2 words: a, ff. Median word length comes out to 1.5 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 |
|---|---|---|---|
| 2 | 3.30.100.97 | Boardman, Oregon, United States | AS8987Amazon Data Services Ireland Ltd |
| 1 | 3.32.103.20 | Boardman, Oregon, United States | AS8987Amazon Data Services Ireland Ltd |
| 2 | 2 | - | - |
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
Scan history not available
Unable to load historical scan data