Security Scan Report: www.usar.army.mil

Submitted: Sep 30, 2026, 7:44:24 PMCompleted: Sep 30, 2026, 7:45:27 PMpubliccompleted

This website contacted 16 IPs in 2 countries across 9 domains to perform 81 HTTP transactions. The main domain is usar.army.mil and was registered 21 years ago.

Submitted URL: https://www.usar.army.mil/News/News-Display/Article/4324195/hegseth-announces-series-of-war-department-reforms-in-sweeping-speech-to-top-mi/

The Cisco Umbrella rank of the primary domain is #46,063 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 97%

0
Risk Score

Authentic U.S. Army Reserve (.mil) news article about Secretary of War Hegseth's reforms. Established government domain, no forms harvesting data, no threat-intel, malware, or IDS signals. Legitimate.

Safety Factors (4)
Official .mil U.S. government domain with HTTPS
Established domain (16 years) with strong Umbrella ranking (top 100K)
og:type=article news page from a recognized government entity
No harvesting forms, no obfuscated JavaScript, no external credential flow
Domain age information unavailable

Details

Page Title

Hegseth announces series of War Department reforms in sweeping speech to top military brass > U.S. Army Reserve > News-Display

Scan Type

public

Domain Name Analysis

The domain 'www.usar.army.mil' uses the United States military top-level domain (.mil) with subdomain 'www.usar'. Its registrable label 'army' stretches across 4 characters containing 1 vowel alongside three consonants. Breaking it apart gives 1 word: army. Average segment length settles at four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.usar.army.mil/News/News-Display/Article/4324195/hegseth-announces-series-of-war-department-reforms-in-sweeping-speech-to-top-mi/

Page Load Overview

3.54s
Total Load Time
2.1 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en-US
Text Length:13,843 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism45% confidence
Type: spa
Method: ml+structural+ocr_tiebreaker

All Detected Categories

news media journalism
45%
government public service
38%
corporate
35%
healthcare medical
32%
news/blog
20%

Detected Features

Search
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
623.45.101.6Akamai · CDNFrankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
52.16.10.156Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
565.8.102.17Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
5104.20.20.192Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
5142.251.110.113Google · CDNUnited States
AS15169Google LLC
5142.250.154.97Google · CDNUnited States
AS15169Google LLC
5184.24.77.169Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
523.32.243.234Akamai · CDNFrankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
552.222.214.114Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
5216.239.34.36Google · CDNUnited States
AS15169Google LLC
8116--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T132F307129BE63527400780E4EDB17708BAE3855FC6428D45B5AD037EAFCBE959C27ACC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:Er+29IROCvGS4hUR1up/0lY2flDiThjoe99DJw9LSRVTMJ:EGOCvGXA180lY2qMlmMJ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:159636:wAUiBqQAQBEhBHMgFhy26BQDNBClCIECSOgHEoACPQiMALRiEWGTBEeiQQUqaCBCCSmEAkJwMIELYFxBAYAqTognamwo7NEp

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Scan History

Scan history not available

Unable to load historical scan data