Security Scan Report: www.seismo.unr.edu

Submitted: Oct 26, 2025, 5:09:40 PMCompleted: Oct 26, 2025, 5:11:02 PMpubliccompleted
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Summary

This website contacted 11 IPs in 2 countries across 4 domains to perform 49 HTTP transactions. The main domain is seismo.unr.edu and was registered NaN years ago.

Submitted URL: http://www.seismo.unr.edu/Earthquake

AI Security Verdict

Safe Website

Confidence: 95%

2
Risk Score

Legitimate site; minor redirect oddity but no security threats detected.

Risk Factors
Circular redirect detected
Safety Factors
Long‑standing domain (registered 1986)
University subdomain (unr.edu) with reputable hosting
No malicious Indicators of Compromise
No credential or payment collection forms
Domain age information unavailable

Details

Page Title

Nevada Seismological Lab

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

documentation technical

(57%)

Domain Information

The domain 'www.seismo.unr.edu' uses the sponsored educational top-level domain (.edu); it also runs on subdomain 'www.seismo'. Count 3 characters in 'unr' holding one vowel versus 2 consonants. It segments into 1 word: unr. Median word length comes out to 3 characters. Most frequently, 'unr' shows up in Catalan. You will also see it in Malay and Slovak contexts.

Screenshot

Security scan screenshot of http://www.seismo.unr.edu/Earthquake

Page Load Overview

46.78s
Total Load Time
49
HTTP Requests
4
Domains
1.0 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
Text Length:102,412 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical57% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
57%
education
45%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9172.238.126.185Frankfurt am Main, Hesse, Germany
AS63949Akamai Connected Cloud
4172.238.118.202Frankfurt am Main, Hesse, Germany
AS63949Akamai Connected Cloud
444.241.98.244Boardman, Oregon, United States
AS16509AMAZON-02
4142.250.185.195United States
AS15169GOOGLE
452.37.165.74Boardman, Oregon, United States
AS16509AMAZON-02
4142.250.181.228United States
AS15169GOOGLE
444.233.83.191Boardman, Oregon, United States
AS16509AMAZON-02
42a00:1450:4001:827::2004Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
42600:3c17:e001:3a::1Frankfurt am Main, Hesse, Germany
AS63949Akamai Connected Cloud
42a00:1450:4001:81c::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
4911--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CCB42E85D1E1E41F6492023A95247C2EF0D8A0E9C7F447987A6F1CF7EA4097939362BF

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:yOCOzqJx7xNfphGScOgNnz20MKZ3KzRfx6dGuj968uljVxvNPS//XmfQLvsaqih+:/mI0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:500293:HMcg3wgACRe1LAMgSQJIMzCATSFYpAAykIARAKBGPIREECMAUEAcAhYuGIiDEPP9BEAEIi5WAjm+ELhSKBItWFgCQNKEkCJ0

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:0000e7efc7c7c7ff
Perceptual Hash:bc4f0c3ca1ad8da9
Difference Hash:33654f1e0eae9616
Wavelet Hash:0000e7c3c7c7c3ff
Color Hash:#9479d2

Scan History

Scan history not available

Unable to load historical scan data