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Security Scan Report: inl.gov

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Submitted: Oct 6, 2025, 6:33:55 AMCompleted: Oct 6, 2025, 6:35:50 AMpubliccompleted
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Summary

This website contacted 47 IPs in 1 country across 5 domains to perform 191 HTTP transactions. The main domain is inl.gov and was registered NaN years ago.

Submitted URL: https://inl.gov/

The Cisco Umbrella rank of the primary domain is #335,472 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate Idaho National Laboratory website with no malicious activity detected.

Safety Factors
Government .gov TLD
Established domain age (>20 years)
No malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

Home - Idaho National Laboratory

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

forum community discussion

(84%)

Domain Information

The domain 'inl.gov' uses the United States government-restricted top-level domain (.gov) while skipping any subdomain. Its registrable label 'inl' stretches across 3 characters with one vowel and two consonants. It segments into 2 words: in, l. Median word length is 1.5 characters. 'in' most strongly signals Slovenian. Usage also turns up in Italian and Chinese (Zhuyin) contexts. Taken together, it feels Slovenian.

Screenshot

Security scan screenshot of https://inl.gov/

Page Load Overview

32.58s
Total Load Time
191
HTTP Requests
5
Domains
9.8 MB
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-US
Text Length:9,707 chars
Detector Agreement:100%

Website Classification

Primary Category

forum community discussion84% confidence
Type: spa
Method: ml+structural

All Detected Categories

forum community discussion
84%
government public service
70%
documentation technical
52%
government
48%
news/blog
35%

Detected Features

Search
Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
713.32.27.113New York, New York, United States
AS16509AMAZON-02
413.32.27.50New York, New York, United States
AS16509AMAZON-02
4172.65.90.24United States
AS13335CLOUDFLARENET
4172.65.90.25United States
AS13335CLOUDFLARENET
4172.65.90.27United States
AS13335CLOUDFLARENET
4142.250.181.232United States
AS15169GOOGLE
4216.239.32.36United States
AS15169GOOGLE
4216.239.34.36United States
AS15169GOOGLE
4172.65.90.26United States
AS13335CLOUDFLARENET
4142.250.185.138United States
AS15169GOOGLE
19147--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12874C7A1799A1C3B212F21CF9047771C10DBCFB6EAA1A9E1F1BF012493F5DE43686166

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:uhMN6P+CBW1EFrluoNva6t7hDM2hDEU3wtzscye87EWjeU3NPsYHwpJn7jfFuYQp:EMN8+CthDXhD1yscyeDNq

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:339820:4hNYGJQojgVCWLIpNBBmSEARBSjkkGEKbAGARJAAhTAwpJNQuAkQAHAi0ABBHDmnSBARC2AIEMEvGDEsQVwJhPDiQUChiBSA

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:ff000060e08080ff
Perceptual Hash:e2039f68e6c1bc8d
Difference Hash:4d4ddbc9a925116f
Wavelet Hash:ff2428e0f0c091ff
Color Hash:#311f93

Other Hashes

Crop Resistant:4d4ddbc9a925116f,a9ececcfc4e3c1ce,4d52d9c989a12511

Scan History

Scan history not available

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