Summary
This website contacted 2 IPs in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is science.gsfc.nasa.gov and was registered NaN years ago.
Submitted URL: https://science.gsfc.nasa.gov/600/nuggets/nugget-uploads/09_22_2025/09222025-nugget.pdf
AI Security Verdict
Safe Website
Confidence: 95%
The page is a legitimate NASA PDF with no security concerns.
Safety Factors
Details
Page Title
N/A
Scan Type
public
Language
BN
Category
documentation technical
(72%)Domain Information
The domain 'science.gsfc.nasa.gov' uses the United States government-restricted top-level domain (.gov), featuring subdomain 'science.gsfc'. The second-level label 'nasa' is 4 characters long split between two vowels and two consonants. Splitting it apart reveals one word: nasa. Expect four characters per word on average. The linguistic tilt is Tagalog for 'nasa'. Usage also turns up in Sinhala and Bosnian contexts. Net impression: Tagalog phrase 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 |
|---|---|---|---|
| 1 | 129.164.179.160 | United States | AS270AS270 |
| 1 | 2001:4d0:2310:150::160 | United States | AS297AS297 |
| 2 | 2 | - | - |
Detected Technologies1
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