Security Scan Report: who-ocr.github.io

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Submitted: Completed: publiccompleted
This website contacted 10 IPs in 1 country across 5 domains to perform 17 HTTP transactions. The main domain is github.io and was registered 13 years ago.

Submitted URL: https://who-ocr.github.io/ebola-data/

AI Security Verdict

Moderate Risk

Confidence: 60%

5
Risk Score

Unofficial GitHub Pages site reproducing WHO's Ebola data-portal branding and layout without attribution or disclaimer. No forms, no malware, no Indicators of Compromise — but the WHO brand on a non-WHO, unranked subdomain warrants caution.

Risk Factors (4)
Presents a major public-health organisation's branding and data-portal layout on a domain that organisation does not control
Free instant-subdomain hosting with an undocumented creation date makes the publisher unverifiable
Domain is unranked in Cisco Umbrella, so the WHO-style branding cannot be corroborated by reputation
No attribution or 'unofficial mirror' disclosure anywhere on the page
Safety Factors (5)
No credential, login or payment forms anywhere in the captured DOM
No Indicators of Compromise, no malware/YARA patterns, no IDS alerts, no known phishing kit
No cross-origin form submission and no credential exfiltration detected
Third-party scripts are mainstream, ranked services (Google Analytics, Mapbox)
Content is informational mapping/statistics about Ebola case data — no financial or data-collection lure
Domain age information unavailable

Details

Page Title

Tracking the Ebola Outbreak - World Health Organization

Scan Type

public

Domain Name Analysis

You're looking at domain 'who-ocr.github.io' on the British Indian Ocean Territory country-code top-level domain (.io) with subdomain 'who-ocr'. The core label 'github' covers 6 characters with two vowels and four consonants. Splitting it apart reveals three words: g, it, hub. Average segment length settles at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://who-ocr.github.io/ebola-data/

Page Load Overview

1.11s
Total Load Time
288 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:1,728 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical37% confidence
Type: dynamic
Method: ml+structural+ocr_tiebreaker

All Detected Categories

healthcare medical
37%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8185.199.111.153Fastly · CDNUnited States
AS54113Fastly, Inc.
1185.199.110.153Fastly · CDNUnited States
AS54113Fastly, Inc.
1142.251.14.95Google · CDNUnited States
AS15169Google LLC
199.84.152.83Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
199.84.152.117Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
1142.251.13.102Google · CDNUnited States
AS15169Google LLC
1185.199.109.153Fastly · CDNUnited States
AS54113Fastly, Inc.
1185.199.108.153Fastly · CDNUnited States
AS54113Fastly, Inc.
1142.251.13.113Google · CDNUnited States
AS15169Google LLC
1142.251.13.139Google · CDNUnited States
AS15169Google LLC
1710--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15F92783065F42523019352C5FAF18F1F2DE2C20BE60B088A36ED47996FCADB89D5B64D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:NHgVBKAjIrt5LRmM6FjGf0LT1Sk36j4Zv:+7at5LRmM6FjGf+AMZv

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:19744:BjEAOAYOIpgAsAL2pTkWNEwBGkCgBBiwACEEWmHyBvELCQKEBh0a2ATMmcojBDOBgJANb8ICIBlCIfUEHGQwAWBFiFFzBGKI

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:91ffffffff9781f3
Perceptual Hash:be992e1cc13ed12c
Difference Hash:32000000002c2706
Wavelet Hash:005fcfcfc4cc0091
Color Hash:#1f5393

Other Hashes

Crop Resistant:32000000002c2706

Scan History

Scan history not available

Unable to load historical scan data