Security Scan Report: seismolab.caltech.edu

Submitted: Nov 17, 2025, 9:03:13 AMCompleted: Nov 17, 2025, 9:04:20 AMpubliccompleted
Loading additional data...

Summary

This website contacted 50 IPs in 2 countries across 8 domains to perform 44 HTTP transactions. The main domain is seismolab.caltech.edu and was registered NaN years ago.

Submitted URL: https://seismolab.caltech.edu/recent-quakes

The Cisco Umbrella rank of the primary domain is #69,735 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate Caltech site with no security concerns.

Safety Factors
Established academic domain
High Cisco Umbrella ranking
No malicious Indicators of Compromise
No forms collecting sensitive data
Domain age information unavailable

Details

Page Title

Recent Quakes - Seismological Laboratory

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(64%)

Domain Information

Within the sponsored educational top-level domain (.edu), 'seismolab.caltech.edu' is registered with subdomain 'seismolab'. The second-level label 'caltech' is 7 characters long containing two vowels alongside 5 consonants. It segments into one word: caltech. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://seismolab.caltech.edu/recent-quakes

Page Load Overview

25.32s
Total Load Time
44
HTTP Requests
8
Domains
857 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
Text Length:4,451 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning64% confidence
Type: spa
Method: ml+structural

All Detected Categories

education learning
64%
education
45%
government public service
27%
corporate
25%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
443.160.150.46United States
AS16509AMAZON-02
0104.17.24.14United States
AS13335CLOUDFLARENET
0216.239.32.36United States
AS15169GOOGLE
03.5.77.18Boardman, Oregon, United States
AS16509AMAZON-02
0104.26.9.123United States
AS13335CLOUDFLARENET
0172.64.154.25United States
AS13335CLOUDFLARENET
0151.101.2.137San Francisco, California, United States
AS54113FASTLY
0104.18.33.231United States
AS13335CLOUDFLARENET
03.160.150.129United States
AS16509AMAZON-02
0172.67.75.33United States
AS13335CLOUDFLARENET
4450--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15F14E87192F8326D464783B6BB705174678D809BB2844D64B1BD8BE45FE3F84EEC3988

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:etzI2ydjWZOlRv11WXWXWvmPfTmnJT0X/k+2EzfAfGX7g719MsfwV3fjXJg1K:a0TUgli1K

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:205562:ohoA7gQpdCBAgQDiCUBFZHCCOit5gwJJWU4CBQMDdEEAkBwjSSCIUDwphMFQSohCEAFBE0jYOhInIJwBQiRAwEIBQBMAilhg

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:ff9f01010909ffff
Perceptual Hash:bf3ec0c1ccc23b29
Difference Hash:0033737373734c72
Wavelet Hash:ff8b01010101ffff
Color Hash:#9e87c5

Scan History

Scan history not available

Unable to load historical scan data