Security Scan Report: www.swpc.noaa.gov

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Submitted: Oct 16, 2025, 11:08:00 PMCompleted: Oct 16, 2025, 11:11:02 PMpubliccompleted
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Summary

This website contacted 55 IPs in 2 countries across 7 domains to perform 123 HTTP transactions. The main domain is swpc.noaa.gov.

Submitted URL: https://www.swpc.noaa.gov/products/aurora-30-minute-forecast

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site is a legitimate NOAA Space Weather Prediction Center page with no security concerns.

Safety Factors
Official government domain (swpc.noaa.gov)
Content matches known NOAA Aurora forecast service
No suspicious redirects or external links
Domain age information unavailable

Details

Page Title

Aurora - 30 Minute Forecast | NOAA / NWS Space Weather Prediction Center

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(48%)

Domain Information

Within the United States government-restricted top-level domain (.gov), 'www.swpc.noaa.gov' is registered with subdomain 'www.swpc'. Count 4 characters in 'noaa' containing 3 vowels alongside one consonant. Breaking it apart gives one word: noaa. The median word length lands at 4 characters. 'noaa' most strongly signals Bengali. Usage also turns up in Catalan and Malay contexts.

Screenshot

Security scan screenshot of https://www.swpc.noaa.gov/products/aurora-30-minute-forecast

Page Load Overview

0.97s
Total Load Time
123
HTTP Requests
7
Domains
969 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:11,623 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service48% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
48%
government
48%
documentation technical
29%
e-commerce
15%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10913.32.121.62New York, New York, United States
AS16509AMAZON-02
865.9.66.116United States
AS16509AMAZON-02
213.32.121.33New York, New York, United States
AS16509AMAZON-02
213.32.121.52New York, New York, United States
AS16509AMAZON-02
265.9.66.61United States
AS16509AMAZON-02
265.9.66.16United States
AS16509AMAZON-02
265.9.66.12United States
AS16509AMAZON-02
213.32.121.68New York, New York, United States
AS16509AMAZON-02
213.32.121.101New York, New York, United States
AS16509AMAZON-02
2216.239.32.36United States
AS15169GOOGLE
12355--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D0739552E476943B021793CEB928F3ADEAD391AFD7430E80B5FC95055FC7D98890229E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:qra2AXf+lhEW9ywa7qBXvgMSQjsDqVjG9lyQakPRToyqrMTfLxWdnZKR7crnLLCS:qra2AXf+lhEW9ywa7qBXvgMSQjsDqVjX

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:79622:WCKgCxSWQAmUB1GkibmoGjAgAkEkkCRkKawYYpigwAFllDq9gSEQqaybBDAMAAigAaZEEZMgMqpUQoEoIIESKQWjCBMFEbVU

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

Average Hash:ff7e28000000007e
Perceptual Hash:82929239ae6dbbb8
Difference Hash:f8f4d486ab8b96d4
Wavelet Hash:ff7e7c000001c3ff
Color Hash:#c1e06c

Scan History

Scan history not available

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