Security Scan Report: news.uams.edu

Submitted: Dec 21, 2025, 6:01:31 AMCompleted: Dec 21, 2025, 6:06:03 AMpubliccompleted
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Summary

This website contacted 28 IPs in 3 countries across 26 domains to perform 106 HTTP transactions. The main domain is news.uams.edu and was registered NaN years ago.

Submitted URL: https://news.uams.edu/2025/12/19/monica-smith-receives-2025-bonny-hope-wallace-award/

The Cisco Umbrella rank of the primary domain is #221,160 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site shows no security concerns and appears legitimate.

Safety Factors
Established domain age (>10 years)
Official university subdomain (news.uams.edu)
No suspicious redirects or hidden fields
Domain age information unavailable

Details

Page Title

Monica Smith Receives 2025 Bonny Hope Wallace Award | UAMS News

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education

(90%)

Domain Information

The domain name 'news.uams.edu' uses the sponsored educational top-level domain (.edu); it also runs on subdomain 'news'. Its registrable label 'uams' stretches across 4 characters containing two vowels alongside two consonants. Splitting it apart reveals two words: u, ams. The median word length lands at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://news.uams.edu/2025/12/19/monica-smith-receives-2025-bonny-hope-wallace-award/

Page Load Overview

12.19s
Total Load Time
106
HTTP Requests
26
Domains
1.6 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
Text Length:14,761 chars
Detector Agreement:100%

Website Classification

Primary Category

education90% confidence
Type: dynamic
Method: structural

All Detected Categories

education
90%
news/blog
40%
news
30%

Detected Features

Search
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2537.27.135.61Helsinki, Uusimaa, Finland
AS24940Hetzner Online GmbH
3216.58.209.206United States
AS15169GOOGLE
3216.58.210.130United States
AS15169GOOGLE
3188.114.97.3United States
AS13335CLOUDFLARENET
335.190.93.146United States
AS396982GOOGLE-CLOUD-PLATFORM
3216.58.209.164United States
AS15169GOOGLE
3216.58.210.168United States
AS15169GOOGLE
3216.58.209.162United States
AS15169GOOGLE
334.98.105.146Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
3199.232.173.140Stockholm, Stockholm County, Sweden
AS54113FASTLY
10628--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12993357315A6792E82D70AC4FC9029DE99FA938680544F89F17897E07FF2CBCB123459

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:JKhuOVBpvSmsOJkYISV+uHIgu8sRQmLWGrm4e0+A2F+ceYmcGsccIqcHDCVSMhPu:0hueBFSmsOJtITl9cRVdhPw1

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:94340:ghUwINqJgUgpTcQWqEAQBgpQQkbHDBCJHAGRACCaKgUrCkAIEFAIBAZjCClL7QtArVlhD5WgjQUrgFC0ExOVEgOEABSzIAxV

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:00ff00efc7c7c7cf
Perceptual Hash:b04f51bce74c4936
Difference Hash:203cc10d0c1d1d1c
Wavelet Hash:00ff00c787c7c7c7
Color Hash:#53ac57

Scan History

Scan history not available

Unable to load historical scan data