Security Scan Report: www.pmel.noaa.gov

Submitted: Completed: publiccompleted
This website contacted 27 IPs in 2 countries across 10 domains to perform 86 HTTP transactions. The main domain is pmel.noaa.gov.

Submitted URL: https://www.pmel.noaa.gov/elnino/what-is-la-nina

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors (3)
Official NOAA subdomain (pmel.noaa.gov)
Informational content only with no data collection
Search form is standard and does not collect sensitive data
Domain age information unavailable

Details

Page Title

What is La Niña? | El Nino Theme Page - A comprehensive Resource

Scan Type

public

Domain Name Analysis

The domain 'www.pmel.noaa.gov' uses the United States government-restricted top-level domain (.gov), featuring subdomain 'www.pmel'. Count 4 characters in 'noaa' with 3 vowels and 1 consonant. Segmentation suggests 1 word: noaa. 'noaa' most often appears in Bengali. Secondary signals appear in Catalan and Malay.

Screenshot

EI Nifie Theme Page [ATMOSPHERIC ADMINST RATION —__—.-4 fhe itcme rage UNITED STATES DEPARTMENT GF COMDIERCE NATIONAL OCEANIC AND. ic Marine Environmental Laborato: Ecacebabieds ee PMEL' Research...

Page Load Overview

36.13s
Total Load Time
3.4 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:8,503 chars
Detector Agreement:100%

Website Classification

Primary Category

government48% confidence
Type: spa
Method: ml+structural

All Detected Categories

government
48%
government public service
27%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8216.239.34.36United States
AS15169GOOGLE
3161.55.85.35Seattle, Washington, United States
AS3477NOAA-NWAVE
3146.75.120.157Frankfurt am Main, Hesse, Germany
AS54113FASTLY
3157.240.0.35Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
3142.250.186.136United States
AS15169GOOGLE
399.84.152.56United States
AS16509AMAZON-02
3157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
3142.250.74.202United States
AS15169GOOGLE
3172.66.0.227United States
AS13335CLOUDFLARENET
32600:9000:20e8:e600:5:83ea:ba80:93a1United States
AS16509AMAZON-02
8627--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15E33E85391B0946B016AA0CCB5B8F75ADB92D18BDF6707C0F1EC11246BCAEA5CC633D9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:pw+m4GFRoQqV1F0wc4mRNichZ6uPGrDiSr:pw+m4GFRoQqV1F0wc4mRN8IGPi2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:53854:gBCpQIR7SxQsJgKQMjLIkwEFGFISEIpVDFlkUESAJBsEtnAg0KQIkxWI6XgoYkEiSAFIhIaEgAAiWoEK59cKCExAJDVEiDej

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:001ce3e3e3ffffe7
Perceptual Hash:e5499a1c65d99366
Difference Hash:97754e46060e2e0f
Wavelet Hash:000021e3e3ffdfc7
Color Hash:N/A

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data