ScanMalware.com

Security Scan Report: giddingslab.ucsd.edu

Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/ad5cfb83-0784-4506-8ef7-ad888ed3d2afDomain and IP registration (RDAP)/api/v1/rdap/ad5cfb83-0784-4506-8ef7-ad888ed3d2afCertificate Transparency/api/v1/ct/giddingslab.ucsd.eduHow often this domain was scanned/api/v1/domain/stats/giddingslab.ucsd.eduScan history for this domain/api/v1/domain/history/giddingslab.ucsd.edu?limit=15
This website contacted 11 IPs in 1 country across 8 domains to perform 59 HTTP transactions. The main domain is ucsd.edu and was registered 40 years ago.

Submitted URL: https://giddingslab.ucsd.edu/research/el-nino-impacts/

The Cisco Umbrella rank of the primary domain is #29,204 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

The page is a legitimate academic site with no malicious indicators.

Safety Factors (4)
Established academic domain (UCSD)
Physical address and phone number visible
No external malicious links or resources
No redirects or suspicious behavior
Domain age information unavailable

Details

Page Title

El Niño impacts | Sarah N. Giddings Lab

Scan Type

public

Domain Name Analysis

Domain 'giddingslab.ucsd.edu' uses the sponsored educational top-level domain (.edu); it also runs on subdomain 'giddingslab'. Count 4 characters in 'ucsd' containing 1 vowel alongside 3 consonants. Word splitting yields one word: ucsd. Average segment length settles at four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://giddingslab.ucsd.edu/research/el-nino-impacts/

Page Load Overview

19.74s
Total Load Time
10.0 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:10,231 chars
Detector Agreement:75%

Website Classification

Primary Category

education90% confidence
Type: spa
Method: structural

All Detected Categories

education
90%
news/blog
40%

Detected Features

Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9169.228.224.62San Diego, California, United States
AS7377University of California, San Diego
5142.251.110.95Google · CDNUnited States
AS15169Google LLC
5142.251.150.119Google · CDNUnited States
AS15169Google LLC
5216.239.34.36Google · CDNUnited States
AS15169Google LLC
552.217.38.38Aws · CLOUDAshburn, Virginia, United States
AS16509Amazon.com, Inc.
5142.251.156.119Google · CDNUnited States
AS15169Google LLC
5142.251.154.119Google · CDNUnited States
AS15169Google LLC
5142.250.154.94Google · CDNUnited States
AS15169Google LLC
5192.178.183.94Google · CDNUnited States
AS15169Google LLC
5142.251.151.119Google · CDNUnited States
AS15169Google LLC
5911--

Detected Technologies5

WordPress
100%
JQueryv3.7.1
100%
PHP
50%
MySQL
50%
Google Analytics
35%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16D041A967285307603A796D4A11FA209A2E25104EE059891F3BDE2E4DF7AEDF1073B3D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:9D7UxAn9BOhEE/R3TmcOKmGrrnAVDBY/B5S8qSTrxhL:BHK7qSnxhL

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:177157:TqCADgIIIERAJeAQQMgfJPLMSI1LGxAEQhRrExAaAZjEACaqBmUCOKY4ACA0LLBAICSAB4CTQp1BAF0EEECIgVlAIYCQZ0rE

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:00ffffffffffffff
Perceptual Hash:bc4343434716677b
Difference Hash:c53a1e3633273432
Wavelet Hash:0083ff8783c39fc3
Color Hash:#c087c5

Other Hashes

Crop Resistant:c53a1e3633273432,9444ccc94923dcd4

Scan History

Scan history not available

Unable to load historical scan data