Summary
This website contacted 60 IPs in 4 countries across 13 domains to perform 84 HTTP transactions. The main domain is energy.gov and was registered NaN years ago.
Submitted URL: https://www.energy.gov/grid-talk/grid-talk?nrg_redirect=474009
AI Security Verdict
Safe Website
Confidence: 95%
The page is a legitimate US Department of Energy site with no security concerns.
Safety Factors
Details
Page Title
Grid Talk | Department of Energy
Scan Type
public
Language
English
Category
government public service
(70%)Domain Information
Domain 'www.energy.gov' uses the United States government-restricted top-level domain (.gov); it also runs on subdomain 'www'. The registrable portion 'energy' spans 6 characters split between two vowels and four consonants. Segmentation suggests 1 word: energy. The median word length lands at six characters. 'energy' most strongly signals English. Usage also turns up in Chinese (Pinyin) and Tagalog contexts.
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 | 172.217.18.8 | United States | AS15169GOOGLE |
| 1 | 64.233.184.156 | United States | AS15169GOOGLE |
| 1 | 99.84.152.69 | United States | AS16509AMAZON-02 |
| 1 | 142.250.184.195 | United States | AS15169GOOGLE |
| 1 | 18.172.112.71 | United States | AS16509AMAZON-02 |
| 1 | 20.250.198.32 | Zurich, Zurich, Switzerland | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 1 | 52.242.103.142 | Boydton, Virginia, United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 1 | 104.17.128.32 | United States | AS13335CLOUDFLARENET |
| 1 | 216.239.36.178 | United States | AS15169GOOGLE |
| 1 | 216.239.32.36 | United States | AS15169GOOGLE |
| 84 | 60 | - | - |
Detected Technologies15
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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