Security Scan Report: maayanlab.cloud

Redirected to:
https://labs.icahn.mssm.edu/maayanlab/
Submitted: Completed: publiccompleted
This website contacted 16 IPs in 3 countries across 13 domains to perform 48 HTTP transactions. The main domain is maayanlab.cloud and was registered 6 years ago.

Submitted URL: https://maayanlab.cloud

Effective URL:
https://labs.icahn.mssm.edu/maayanlab/
Redirected

The Cisco Umbrella rank of the primary domain is #646,273 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 93%

0
Risk Score

Legitimate Mount Sinai research lab site; maayanlab.cloud simply redirects to the official labs.icahn.mssm.edu domain. No forms collecting credentials or payment, no threat-intel, hunting rule or IDS hits.

Safety Factors (4)
Final destination is the official Mount Sinai / Icahn School of Medicine domain (labs.icahn.mssm.edu)
Legitimate academic research laboratory with published citations (Communications Biology) and a physical institutional address
Search-only form; no credential, login or payment collection anywhere on the page
No threat-intelligence, hunting rule, IDS or Safe Browsing findings
Domain age information unavailable

Details

Page Title

Ma’ayan Lab – Computational Systems Biology

Scan Type

public

Domain Name Analysis

Domain 'maayanlab.cloud' uses the .cloud top-level domain with no subdomain. The second-level label 'maayanlab' is 9 characters long with 4 vowels and five consonants. Segmentation suggests 3 words: maa, yan, lab. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://maayanlab.cloud

Page Load Overview

3.61s
Total Load Time
1.5 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:48%
Script:Latin
Direction:ltr

Detection Details

Text Length:4,457 chars
Detector Agreement:80%

Website Classification

Primary Category

education45% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

education
45%
news/blog
35%
corporate
35%
technology software
32%

Detected Features

Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
392.123.133.183Akamai · CDNMunich, Bavaria, Germany
AS20940Akamai International B.V.
352.3.219.125Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
3104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
365.9.130.113Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
323.36.162.206Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
323.36.162.199Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
365.9.130.38Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
3142.250.154.95Google · CDNUnited States
AS15169Google LLC
3184.25.52.200Akamai · CDNMilan, Lombardy, Italy
AS16625Akamai Technologies, Inc.
320.121.104.90Azure · CLOUDDulles, Virginia, United States
AS8075Microsoft Corporation
4816--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BF82F932A16910967F5F57ECC195B31DBAA8961489017B36B0F931689DB4CF301FB13E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:WGY/FJhrYkli0JzIE0+lGN+svBI4qEfrqWRXdqZsTaA+1BNslQCfEGHRmy4kWfdY:WGYrPzIE0zJRr3ZdqZUaAWkWfdG7

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:19213:AGyw4wBCgOEEFEBToAoDZxGEkgkU1AihztQAELgADBFLwAhAMAgQwrAyRUBoYVWYK4IuAdgoLQCYYMYDxAHDiSiApnAUFo4i

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:dfffc787c3ffffdf
Perceptual Hash:b030cfcf3032cdcd
Difference Hash:36323e1e1e161e36
Wavelet Hash:cec3838383c3c3d7
Color Hash:#ced279

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data