Security Scan Report: www.amnestyusa.org

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Submitted: Dec 14, 2025, 7:20:50 AMCompleted: Dec 14, 2025, 7:22:04 AMpubliccompleted
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Summary

This website contacted 161 IPs in 9 countries across 59 domains to perform 175 HTTP transactions. The main domain is amnestyusa.org and was registered NaN years ago.

Submitted URL: https://www.amnestyusa.org/press-releases/angola-authorities-must-provide-urgent-medical-care-to-detained-untra-leader/

The Cisco Umbrella rank of the primary domain is #668,249 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate Amnesty International USA press release page.

Safety Factors
Official brand domain
Long domain age
No malicious Indicators of Compromise
No credential or payment forms
Low number of forms, none collect passwords
Domain age information unavailable

Details

Website Access Blocked

This website blocked our scanner, likely using AWS WAF, Cloudflare, or similar bot protection. The page may show differently for regular users.

Page Title

Just a moment...

Scan Type

public

Language

πŸ‡ΊπŸ‡Έ

English

(80% confidence)

Category

government public service

(60%)

Domain Information

Within the non-profit oriented generic top-level domain (.org), 'www.amnestyusa.org' is registered; it also runs on subdomain 'www'. Count 10 characters in 'amnestyusa' holding 4 vowels versus six consonants. Segmentation suggests 2 words: amnesty, usa. Average segment length settles at five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.amnestyusa.org/press-releases/angola-authorities-must-provide-urgent-medical-care-to-detained-untra-leader/

Page Load Overview

15.11s
Total Load Time
175
HTTP Requests
59
Domains
3.6 MB
Total Size

Language Analysis

Primary Language

πŸ‡ΊπŸ‡ΈEnglish
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en-US
Text Length:4,269 chars
Detector Agreement:100%

Website Classification

Primary Category

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

All Detected Categories

government public service
60%
education learning
58%
news/blog
35%

Detected Features

Search
Articles
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1544.212.88.165Ashburn, Virginia, United States
AS14618AMAZON-AES
1172.66.135.40United States
AS13335CLOUDFLARENET
1216.58.209.163United States
AS15169GOOGLE
118.184.216.10Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
134.195.200.6Ashburn, Virginia, United States
AS14618AMAZON-AES
150.19.243.75Ashburn, Virginia, United States
AS14618AMAZON-AES
1104.18.0.22United States
AS13335CLOUDFLARENET
118.165.140.103United States
AS16509AMAZON-02
123.216.134.222Stockholm, Stockholm County, Sweden
AS20940Akamai International B.V.
1157.240.205.35Helsinki, Uusimaa, Finland
AS32934FACEBOOK
175161--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15D823A378555201F722B4ED77178B7648021E384E702A3FAF4B6AE58C7C5A1F65633E8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:Va+Y9yIPl2boVmJkEqzB7tX8MmHJ+F73beQ+8+YDyEIiPByz9gG0Iuq8:U+Ycq4brJkx9tX8h+3z+YDDtP49gGju1

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:19225:UijUUCJEgzBVDAaECQAsERQkxAC2QEkCzBCeD17nACAgCAhtEIEBUAiQMlAYKYgLARAeBYHecLAQqqBOGAJxqogMmjMAWgII

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:cfc3c7c3ffffffe7
Perceptual Hash:b03883cfc6ccc6ce
Difference Hash:181c141e0000000c
Wavelet Hash:f4c0ccc0f0f0fcc0
Color Hash:#79d2a0

Other Hashes

Crop Resistant:181c141e0000000c

Scan History

Scan history not available

Unable to load historical scan data