Security Scan Report: mtlegnews.gov

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Submitted: Nov 23, 2025, 11:20:16 PMCompleted: Nov 23, 2025, 11:23:43 PMpubliccompleted
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Summary

This website contacted 9 IPs in 2 countries across 9 domains to perform 105 HTTP transactions. The main domain is mtlegnews.gov and was registered NaN years ago.

Submitted URL: https://mtlegnews.gov/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate government news site with no detected security concerns.

Safety Factors
Government domain (.gov)
Established domain age (>4 years)
Absence of malicious Indicators of Compromise
No forms collecting sensitive data
Domain age information unavailable

Details

Page Title

The Gavel – Calling Legislative News to Order

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(65%)

Domain Information

Within the United States government-restricted top-level domain (.gov), 'mtlegnews.gov' is registered without a subdomain. Count 9 characters in 'mtlegnews' with 2 vowels and 7 consonants. Tokenizing the label suggests three words: mt, leg, news. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

2.88s
Total Load Time
105
HTTP Requests
9
Domains
1000 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-US
Text Length:867 chars
Detector Agreement:75%

Website Classification

Primary Category

government public service65% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
65%
government
48%
news media journalism
27%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6150.116.65.227Phoenix, Arizona, United States
AS31898ORACLE-BMC-31898
28192.0.77.2San Francisco, California, United States
AS2635AUTOMATTIC
11216.58.206.74United States
AS15169GOOGLE
112a00:1450:4001:813::200aFrankfurt am Main, Hesse, Germany
AS15169GOOGLE
112a00:1450:4001:82a::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
7142.250.186.131United States
AS15169GOOGLE
6192.0.77.37San Francisco, California, United States
AS2635AUTOMATTIC
2192.0.76.3San Francisco, California, United States
AS2635AUTOMATTIC
1142.250.186.74United States
AS15169GOOGLE
1059--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AC04F9A3B28844EB613B8A48C19C7B2CF839E542D71A29D9F1DD737A978D9EF111131C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:mYEgwqRLUYXplWlMl6lxaXD2JOnxn+PZMfGVcbhODb9dtBlAGvePES1+urjsm4Zb:mYEZMmAz7/5697yQZcCPwwkb2TKw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:177455:slBCIIIvCyKQ1gSL1wJIAEDmNBlAgEctKAsACFwYAC0h7eYCAIOCATo4AcIUAJHYiUwEhBGAjHCjwwAE1hZQJa0JEq8FgBCA

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:fbf3001f8f8f3fff
Perceptual Hash:bf60e1bf980f7012
Difference Hash:92169d72783c604a
Wavelet Hash:c3c3001f07073fbf
Color Hash:#bf4062

Scan History

Scan history not available

Unable to load historical scan data