FagnerMartinsBrack

#!/bin/bash
#
# Checks for the axios npm supply chain attack (CVE-2025-XXXXX)
# Compromised versions: axios@1.14.1, axios@0.30.4
# Malicious dependency: plain-crypto-js@4.2.1
# macOS RAT artifact: /Library/Caches/com.apple.act.mond
#
# Source: https://www.aikido.dev/blog/axios-npm-compromised-maintainer-hijacked-rat
#
# Usage: ./check-axios-compromise.sh [search_root]

FagnerMartinsBrack

https://claude.ai/public/artifacts/9d0ac357-ed87-44c1-ad0c-2a9237c0bc46

The IBM 5100 portable computer transformed scientific computing in 1975

The IBM 5100 represented a breakthrough in portable professional computing when launched in September 1975, compressing mainframe-level programming capabilities into a 55-pound "luggable" computer priced between $8,975 and $19,975 (equivalent to $52,000-$117,000 today). This revolutionary system bridged the gap between room-sized mainframes and the personal computer revolution, serving specialized markets in government, research, and business sectors through its unique combination of APL and BASIC programming languages previously available only on much larger systems. Despite limited commercial success with relatively small production numbers before its discontinuation in March 1982, the 5100 established crucial technical precedents for portable computing and demonstrated IBM's early recognition of single-user computing potential. The system's legacy extends beyond

FagnerMartinsBrack

// The brains to fill the fields. This uses the human brain of the user.
const usingCLI = (fields) => {
  const fieldsWithValuesFromUser = await presentFieldNamesToUser(Object.keys(fields));
  return fieldsWithValuesFromUser;
};

// The client uses the CLI to get the field values when the server asks for it
const runWithFieldsFromCLI = run(usingCLI);

// Initial trigger of the booking process

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// The brains to fill the fields. This can use AI, etc.
const fillFields = (fields) => fields;

const run = async (method = 'GET', url = 'https://clinic.example.com/start-booking', fields) => {
  const response = await fetch(url, { method: method, body: JSON.stringify(fields) });
  const parsedResponseBody = await response.json();

  const requiredFieldsAction = queryAction('required-fields', parsedResponseBody);

  if (requiredFieldsAction) {

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// Response for:
//   GET /start-booking

{
  "data": [{
    "type": "action",
    "id": "required-fields",
    "attributes": {
      "url": "/start-booking",
      "method": "post",

FagnerMartinsBrack

const response = await fetch('http://clinic.example.com/booking?intendedDoctor=jane', {
  method: 'get'
});

const availableTimeSlotsForTheWeek = await response.json();

await fetch('http://clinic.example.com/booking', {
  method: 'post',
  body: JSON.stringify({
    username: 'mary.doe',

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await fetch('http://clinic.example.com/booking', {
  method: 'post',
  body: JSON.stringify({
    username: 'mary.doe',
    dateTime: '2018-05-01T10:20:00Z'
    intendedDoctor: 'jane',
    booking: 'Consultation with Doctor Jane'
  }),
});

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const prefill = Prefill(StubbedProvider())(MappingLogic(forSimpleMatching));
const prefilledFormFields = prefill(FormFields());

expect(prefilledFormFields.toString()).toEqual('name: Anna');

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const httpServerDataSource = HttpServerDataSource(getRequest);
const postsTitle = await httpServerDataSource.findPostsTitle();
assert.deepEqual(postsTitle, ['How to bake a cake']);

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const renderedComponent = render(<Counter></Counter>);
renderedComponent.querySelector('.count-button').click();
renderedComponent.querySelector('.count-button').click();
const renderedCount = renderedComponent
 .querySelector('.current-count')
 .innerHTML;
expect(renderedCount).toEqual('2');