Security Scan Report: e-ins.org

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Submitted: Completed: publiccompleted
This website contacted 30 IPs in 4 countries across 22 domains to perform 273 HTTP transactions. The main domain is e-ins.org and was registered 7 years ago.

Submitted URL: https://e-ins.org/

AI Security Verdict

Safe Website

Confidence: 85%

1
Risk Score

Long-registered domain presenting its own e-INS 2027 congress brand; no credential or payment forms, no threat-intel, hunting rule or IDS hits. Unranked status and redirect chain are weak, non-malicious signals.

Safety Factors (6)
Established domain (6+ years old)
Self-branding: title/meta match its own domain
No credential or payment collection forms
No Indicators of Compromise, hunting rule, Safe Browsing or IDS hits
External scripts served by top-1M ranked hosts
Clear organizational identity, legal/payment terms and contact resources present
Domain age information unavailable

Details

Page Title

e-INS 2027 | 26 -29 May 2027, Brussels, Belgium

Scan Type

public

Domain Name Analysis

Domain 'e-ins.org' uses the non-profit oriented generic top-level domain (.org) with no subdomain. The second-level label 'e-ins' is 5 characters long holding 2 vowels versus two consonants; bonus characters include one hyphen. Breaking it apart gives 3 words: e, in, s. The median word length lands at one character. No strong language cues emerged from the frequency lists.

Screenshot

. STH JOINT CONGRESS OF THE INS EUROPEAN CHAPTERS e-l NS Welcome Message Abstracts « Programme « Attend Hotels Sponsorship v _ ContactUs Resources v ABSTRACTSUBMISSION Abstract Submisst Is Now Open...

Page Load Overview

5.98s
Total Load Time
7.1 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:7,107 chars
Detector Agreement:75%

Website Classification

Primary Category

government public service60% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
60%
technology software
43%
news media journalism
40%
adult content
40%
healthcare medical
39%

Detected Features

Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
12172.67.208.203Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
940.113.154.210Azure · CLOUDAmsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
9142.250.154.95Google · CDNUnited States
AS15169Google LLC
9142.251.110.97Google · CDNUnited States
AS15169Google LLC
9142.250.154.94Google · CDNUnited States
AS15169Google LLC
935.190.14.188Google · CDNKansas City, Missouri, United States
AS396982Google LLC
9157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
923.194.190.151Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
9146.75.121.44Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
935.241.3.184Google · CDNKansas City, Missouri, United States
AS396982Google LLC
27330--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T199C41B333D231135306F219F91CBB64C256A86CAD66A1AD6F479413BEBFDE9033E1606

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:wLNBufTgXxGXtGMNRzZy1g+sS6YYYKYYYY3xYYYcjYYYaYYYIYYYnYYYYYYYloW:wBBgzA1Pcnv/v

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:567218:TGYwSBhhQhnKC8mAGQkAAICwKItRkLgRgNpQIAosAigJhAcBAZBCJhYpIFoGVQqgiGQroWWGkIqIdJBQyKQzlBWgwbMQQQAA

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:3c00083c3c000081
Perceptual Hash:da9c7166cc993326
Difference Hash:c01d797161480823
Wavelet Hash:ff0c0c3c3cc0efc1
Color Hash:N/A

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data