Security Scan Report: internationalmedicalcorps.org

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Submitted: Completed: publiccompleted
This website contacted 40 IPs in 2 countries across 35 domains to perform 146 HTTP transactions. The main domain is internationalmedicalcorps.org and was registered 26 years ago.

Submitted URL: https://internationalmedicalcorps.org/story/flooding-in-central-texas-the-hidden-impact/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site with no apparent security threats.

Safety Factors (3)
Well‑established domain with long registration history
Official International Medical Corps branding matches domain
Absence of suspicious forms or malicious content
Domain age information unavailable

Details

Page Title

Flooding in Central Texas: The Hidden Impact | International Medical Corps

Scan Type

public

Domain Name Analysis

Domain 'internationalmedicalcorps.org' uses the non-profit oriented generic top-level domain (.org). The core label 'internationalmedicalcorps' covers 25 characters containing ten vowels alongside 15 consonants. Splitting it apart reveals 3 words: international, medical, corps. Median word length comes out to seven characters. No strong language cues emerged from the frequency lists.

Screenshot

International mati STowIEs ENEWS GET INVOLIED . | Medical Corps ro “ - - When providing behavioral health’ support inthe’ aftermath Agee Of the Central prexas floods? ‘Oubjteam saw. the damage i = b...

Page Load Overview

6.60s
Total Load Time
4.6 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:12,601 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning47% confidence
Type: spa
Method: ml+structural

All Detected Categories

education learning
47%
news/blog
35%
corporate
35%
healthcare medical
25%
forum
25%

Detected Features

Search
Articles
Comments
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
29142.250.185.198United States
AS15169GOOGLE
3172.217.18.3United States
AS15169GOOGLE
335.71.131.137United States
AS16509AMAZON-02
3100.20.58.101Germany
AS20940Akamai International B.V.
3172.66.146.217United States
AS13335CLOUDFLARENET
318.172.114.101United States
AS16509AMAZON-02
3216.58.206.78United States
AS15169GOOGLE
33.33.220.150Seattle, Washington, United States
AS16509AMAZON-02
318.66.102.53Germany
AS14618AMAZON-AES
354.192.35.117United States
AS16509AMAZON-02
14640--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F37409B25648823C4543C284DDA6E2A42B1FD0FAF78B52E471FE87B5A783DD4D543A2C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:1H8gTWpDiDqGk6NhTKNN0GgTWpb8nGBIkgUA:1H9Wovk67s0PWuJ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:349150:iCQQnBEzXLERBRYkaUgECfBBCOIQpQD4AVSoAAwcrBDKkGYQoISgEUsqEceKgABCSiaADGaSFECJIB1DdrBAIkogmICwSFL0

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:ff0d1d18480100ff
Perceptual Hash:989ab4f5c5c5c784
Difference Hash:92997973919b93d5
Wavelet Hash:ffdd1d18580100ff
Color Hash:N/A

Scan History

Scan history not available

Unable to load historical scan data