CyberChef/src/core/operations/AdvancedEntropy.mjs

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/**
* @author mshwed [m@ttshwed.com]
* @copyright Crown Copyright 2019
* @license Apache-2.0
*/
import * as d3temp from "d3";
import * as nodomtemp from "nodom";
import Operation from "../Operation";
import Utils from "../Utils";
const d3 = d3temp.default ? d3temp.default : d3temp;
const nodom = nodomtemp.default ? nodomtemp.default: nodomtemp;
/**
* Advanced Entropy operation
*/
class AdvancedEntropy extends Operation {
/**
* AdvancedEntropy constructor
*/
constructor() {
super();
this.name = "Advanced Entropy";
this.module = "Default";
this.description = "Adds advanced views for examining entropy";
this.infoURL = "";
this.inputType = "byteArray";
this.outputType = "html";
this.args = [
{
"name": "Visualization",
"type": "option",
"value": ["Histogram (Bar)", "Histogram (Line)"]
}
];
}
/**
* Calculates the frequency of bytes in the input.
*
* @param {byteArray} input
* @returns {frequency}
*/
calculateShannonEntropy(input) {
const prob = [],
uniques = input.unique(),
str = Utils.byteArrayToChars(input);
let i;
for (i = 0; i < uniques.length; i++) {
prob.push(str.count(Utils.chr(uniques[i])) / input.length);
}
let entropy = 0,
p;
for (i = 0; i < prob.length; i++) {
p = prob[i];
entropy += p * Math.log(p) / Math.log(2);
}
return -entropy;
}
/**
* Calculates the frequency of bytes in the input.
*
* @param {object} svg
* @param {function} xScale
* @param {function} yScale
* @param {integer} svgHeight
* @param {integer} svgWidth
* @param {object} margins
* @returns {undefined}
*/
createHistogramAxes(svg, xScale, yScale, svgHeight, svgWidth, margins) {
// Axes
const yAxis = d3.axisLeft()
.scale(yScale);
const xAxis = d3.axisBottom()
.scale(xScale)
svg.append("g")
.attr("transform", `translate(0, ${svgHeight - margins.bottom})`)
.call(xAxis);
svg.append("g")
.attr("transform", `translate(${margins.left},0)`)
.call(yAxis);
// Axes labels
svg.append("text")
.attr("transform", "rotate(-90)")
.attr("y", 0 - margins.left)
.attr("x", 0 - (svgHeight / 2))
.attr("dy", "1em")
.style("text-anchor", "middle")
.text("Frequency (%)")
svg.append("text")
.attr("transform", `translate(${svgWidth / 2}, ${svgHeight - margins.bottom + 40})`)
.style("text-anchor", "middle")
.text("Byte")
// Add title
svg.append("text")
.attr("transform", `translate(${svgWidth / 2}, ${margins.top - 10})`)
.style("text-anchor", "middle")
.text("Byte Frequency")
}
/**
* Calculates the frequency of bytes in the input.
*
* @param {byteArray} inputBytes
* @returns {frequency}
*/
calculateByteFrequency(inputBytes) {
console.log(inputBytes);
let byteFrequency = [];
for (let i = 0; i < 256; i++) {
let count = 0;
for (let byte of inputBytes) {
if (byte === i) {
count++;
}
}
byteFrequency.push(count / (inputBytes.length + 1))
}
return byteFrequency;
}
/**
* Calculates the frequency of bytes in the input.
*
* @param {byteArray} input
* @returns {frequency}
*/
createByteFrequencyLineHistogram(entropyData) {
const byteFrequency = entropyData.byteFrequency;
const margins = {top: 30, right: 20, bottom: 50, left: 30};
const svgWidth = 500,
svgHeight = 500;
const document = new nodom.Document();
let svg = document.createElement("svg");
svg = d3.select(svg)
.attr("width", "100%")
.attr("height", "100%")
.attr("viewBox", `0 0 ${svgWidth} ${svgHeight}`);
const yScale = d3.scaleLinear()
.domain(d3.extent(byteFrequency, d => d))
.range([svgHeight - margins.bottom, margins.top]);
const xScale = d3.scaleLinear()
.domain([0, byteFrequency.length - 1])
.range([margins.left, svgWidth - margins.right]);
const line = d3.line()
.x((d, i) => { return xScale(i)})
.y((d) => { return yScale(d)})
.curve(d3.curveMonotoneX);
svg.append('path')
.datum(byteFrequency)
.attr("class", "line")
.attr("d", line)
.attr("fill", "steelblue");
this.createHistogramAxes(svg, xScale, yScale, svgHeight, svgWidth, margins);
return svg._groups[0][0].outerHTML;
}
/**
* Creates a byte frequency histogram
*
* @param {byteArray} entropyData
* @returns {HTML}
*/
createByteFrequencyBarHistogram(entropyData) {
const byteFrequency = entropyData.byteFrequency;
const svgWidth = 500,
svgHeight = 500,
binWidth = 1;
const document = new nodom.Document();
let svg = document.createElement("svg");
svg = d3.select(svg)
.attr("width", "100%")
.attr("height", "100%")
.attr("viewBox", `0 0 ${svgWidth} ${svgHeight}`);
const margins = {top: 30, right: 20, bottom: 50, left: 30};
const yScale = d3.scaleLinear()
.domain(d3.extent(byteFrequency, d => d))
.range([svgHeight - margins.bottom, margins.top]);
const xScale = d3.scaleLinear()
.domain([0, byteFrequency.length - 1])
.range([margins.left - binWidth, svgWidth - margins.right]);
svg.selectAll("rect")
.data(byteFrequency)
.enter().append("rect")
.attr("x", (_, i) => xScale(i) + binWidth)
.attr("y", (dataPoint) => yScale(dataPoint))
.attr("width", binWidth)
.attr("height", dataPoint => yScale(0) - yScale(dataPoint))
.attr("fill", "blue");
this.createHistogramAxes(svg, xScale, yScale, svgHeight, svgWidth, margins);
return svg._groups[0][0].outerHTML;
}
/**
* @param {byteArray} input
* @param {Object[]} args
* @returns {html}
*/
run(input, args) {
const visualizationType = args[0];
const entropyData = {
entropy: this.calculateShannonEntropy(input),
byteFrequency: this.calculateByteFrequency(input)
};
let svgData;
if (visualizationType === "Histogram (Bar)") svgData = this.createByteFrequencyBarHistogram(entropyData);
else if (visualizationType === "Histogram (Line)") svgData = this.createByteFrequencyLineHistogram(entropyData);
return svgData;
}
}
export default AdvancedEntropy;