Security Scan Report: www.llnl.gov

Submitted: Dec 21, 2025, 7:37:57 PMCompleted: Dec 21, 2025, 7:40:48 PMpubliccompleted
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Summary

This website contacted 4 IPs in 1 country across 3 domains to perform 37 HTTP transactions. The main domain is llnl.gov and was registered NaN years ago.

Submitted URL: https://www.llnl.gov/

The Cisco Umbrella rank of the primary domain is #247,675 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Official government domain (llnl.gov)
Long-established domain with reputable registration date
No suspicious forms or data collection
Domain age information unavailable

Details

Page Title

Lawrence Livermore National Laboratory

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(75%)

Domain Information

The domain 'www.llnl.gov' uses the United States government-restricted top-level domain (.gov) with subdomain 'www'. The core label 'llnl' covers 4 characters holding 0 vowels versus 4 consonants. Breaking it apart gives 2 words: lln, l. Median word length comes out to two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.llnl.gov/

Page Load Overview

35.18s
Total Load Time
37
HTTP Requests
3
Domains
N/A
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:6,201 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service75% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
75%
education learning
69%
news media journalism
49%
government
48%
documentation technical
35%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10198.128.246.57El Cerrito, California, United States
AS292ESNET-WEST
9104.18.5.245United States
AS13335CLOUDFLARENET
9104.16.79.73United States
AS13335CLOUDFLARENET
9104.18.4.245United States
AS13335CLOUDFLARENET
374--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T153F3842256E0313B054746DA6564B72EF653C50BEE168D40F3EC8B8B6F83F92CD2662D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:ckDKuI0MdlVKV+VSBw2usBHoFTQGwQVuoNtJeH8zCpa02DvJEehtqpHSYIihLpRJ:nKucVKVHeXNduSdVbgC6WDQusEagDNzw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:157848:YhMEEEgsBjEDCHKkBAoSAYmjCiEbwQEAStKgAESAog13CGg1BEUCQA5gAWhIagSslSkMuCCFSJQgCGSgOAhIFJHkSxNUcAAC

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:ff0000ffc3c3e3c3
Perceptual Hash:ec1283e5b0c79ea9
Difference Hash:71f1702b07070717
Wavelet Hash:ff0000ffc3c3c3c3
Color Hash:#b56ce0

Scan History

Scan history not available

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