Security Scan Report: cnl.salk.edu

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Submitted: Jul 1, 2026, 4:08:38 PMCompleted: Jul 1, 2026, 4:09:50 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 3 HTTP transactions. The main domain is cnl.salk.edu and was registered NaN years ago.

Submitted URL: https://cnl.salk.edu

The Cisco Umbrella rank of the primary domain is #515,797 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site is an established academic lab page with no malicious indicators.

Safety Factors
Long‑standing domain
Self‑branding (lab page matches its domain)
Absence of malicious signals
Domain age information unavailable

Details

Page Title

CNL : The Computational Neurobiology Laboratory

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education

(45%)

Domain Information

Domain 'cnl.salk.edu' uses the sponsored educational top-level domain (.edu) and includes subdomain 'cnl'. The core label 'salk' covers 4 characters split between 1 vowel and three consonants. Splitting it apart reveals 1 word: salk. Average segment length settles at four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://cnl.salk.edu

Page Load Overview

4.90s
Total Load Time
7
HTTP Requests
2
Domains
203 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:2,335 chars
Detector Agreement:100%

Website Classification

Primary Category

education45% confidence
Type: static
Method: ml+structural

All Detected Categories

education
45%
education learning
34%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4142.251.151.119Google · CDNUnited States
AS15169Google LLC
3198.202.70.25San Diego, California, United States
AS22213Salk Institute
72--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12102C67E704152178733225579B8379E9563C65BC2912D0278EC8D8EAFC2EEA4D272CF

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:Fb5zKi5GI9G/SjtXuMpDXy35zclC8fVtGR85Fx04rNim4wQa/8J:FbwpShuQDGUVtxFbNim4P

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8483:OBoAhoBOLESoKQgq6QADjGKCACGBLWABELiaGAAMFYRqRGyUgmUGYQXMAQpEQAABmXINAoEs1GQYAASlnVkIUEIUVdFJAlgF

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:3c1c1c3c3c3c3c3c
Perceptual Hash:9a309bc7c7cf9830
Difference Hash:6979f16169616179
Wavelet Hash:3c3c1c3c3c3c3c3d
Color Hash:#2d8630

Scan History

Scan history not available

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