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mirror of synced 2025-01-26 08:13:47 +01:00

Fixed formatting issues

This commit is contained in:
mshwed 2019-04-06 23:09:46 -04:00
parent b7fb9635e5
commit 8fc0e012e3

View File

@ -26,8 +26,8 @@ class AdvancedEntropy extends Operation {
this.name = "Advanced Entropy";
this.module = "Default";
this.description = "Adds advanced views for examining entropy";
this.infoURL = "";
this.description = "Shannon Entropy, in the context of information theory, is a measure of the rate at which information is produced by a source of data. It can be used, in a broad sense, to detect whether data is likely to be structured or unstructured. 8 is the maximum, representing highly unstructured, 'random' data. English language text usually falls somewhere between 3.5 and 5. Properly encrypted or compressed data should have an entropy of over 7.5.";
this.infoURL = "https://wikipedia.org/wiki/Entropy_(information_theory)";
this.inputType = "byteArray";
this.outputType = "html";
this.args = [
@ -41,16 +41,16 @@ class AdvancedEntropy extends Operation {
/**
* 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;
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);
}
@ -66,21 +66,20 @@ class AdvancedEntropy extends Operation {
return -entropy;
}
/**
*
* @param inputBytes
/**
*
* @param inputBytes
* @returns {entropyData}
*/
calculateScanningEntropy(inputBytes, binWidth) {
const entropyData = [];
binWidth = binWidth
? Math.floor(inputBytes.length / binWidth)
: Math.floor(inputBytes.length / 256);
binWidth = binWidth ?
Math.floor(inputBytes.length / binWidth) :
Math.floor(inputBytes.length / 256);
for (let bytePos = 0; bytePos < inputBytes.length; bytePos+=binWidth) {
const block = inputBytes.slice(bytePos, bytePos+binWidth)
const blockEntropy = this.calculateShannonEntropy(block);
entropyData.push(blockEntropy);
const block = inputBytes.slice(bytePos, bytePos+binWidth);
entropyData.push(this.calculateShannonEntropy(block));
}
return { entropyData, binWidth };
@ -89,7 +88,7 @@ class AdvancedEntropy extends Operation {
/**
* Calculates the frequency of bytes in the input.
*
*
* @param {object} svg
* @param {function} xScale
* @param {function} yScale
@ -106,7 +105,7 @@ class AdvancedEntropy extends Operation {
.scale(yScale);
const xAxis = d3.axisBottom()
.scale(xScale)
.scale(xScale);
svg.append("g")
.attr("transform", `translate(0, ${svgHeight - margins.bottom})`)
@ -123,39 +122,37 @@ class AdvancedEntropy extends Operation {
.attr("x", 0 - (svgHeight / 2))
.attr("dy", "1em")
.style("text-anchor", "middle")
.text(yTitle)
.text(yTitle);
svg.append("text")
.attr("transform", `translate(${svgWidth / 2}, ${svgHeight - margins.bottom + 40})`)
.style("text-anchor", "middle")
.text(xTitle)
.text(xTitle);
// Add title
svg.append("text")
.attr("transform", `translate(${svgWidth / 2}, ${margins.top - 10})`)
.style("text-anchor", "middle")
.text(title)
.text(title);
}
/**
* Calculates the frequency of bytes in the input.
*
*
* @param {byteArray} inputBytes
* @returns {frequency}
*/
calculateByteFrequency(inputBytes) {
console.log(inputBytes);
let byteFrequency = [];
const byteFrequency = [];
for (let i = 0; i < 256; i++) {
let count = 0;
for (let byte of inputBytes) {
for (const byte of inputBytes) {
if (byte === i) {
count++;
}
}
byteFrequency.push(count / (inputBytes.length + 1))
byteFrequency.push(count / (inputBytes.length + 1));
}
return byteFrequency;
@ -163,14 +160,12 @@ class AdvancedEntropy extends Operation {
/**
* Calculates the frequency of bytes in the input.
*
* @param {byteArray} input
*
* @param {byteArray} byteFrequency
* @returns {frequency}
*/
createByteFrequencyLineHistogram(entropyData) {
const byteFrequency = entropyData.byteFrequency;
const margins = {top: 30, right: 20, bottom: 50, left: 30};
createByteFrequencyLineHistogram(byteFrequency) {
const margins = { top: 30, right: 20, bottom: 50, left: 30 };
const svgWidth = 500,
svgHeight = 500;
@ -192,28 +187,28 @@ class AdvancedEntropy extends Operation {
.range([margins.left, svgWidth - margins.right]);
const line = d3.line()
.x((d, i) => { return xScale(i)})
.y((d) => { return yScale(d)})
.x((_, i) => xScale(i))
.y(d => yScale(d))
.curve(d3.curveMonotoneX);
svg.append('path')
svg.append("path")
.datum(byteFrequency)
.attr("d", line)
.attr("fill", "steelblue");
this.createAxes(svg, xScale, yScale, svgHeight, svgWidth, margins, "", "Byte", "Byte Frequency");
this.createAxes(svg, xScale, yScale, svgHeight, svgWidth, margins, "", "Byte", "Byte Frequency");
return svg._groups[0][0].outerHTML;
}
/**
* Creates a byte frequency histogram
*
* @param {byteArray} entropyData
*
* @param {byteArray} byteFrequency
* @returns {HTML}
*/
createByteFrequencyBarHistogram(entropyData) {
const byteFrequency = entropyData.byteFrequency;
createByteFrequencyBarHistogram(byteFrequency) {
const margins = { top: 30, right: 20, bottom: 50, left: 30 };
const svgWidth = 500,
svgHeight = 500,
@ -225,8 +220,6 @@ class AdvancedEntropy extends Operation {
.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))
@ -240,7 +233,7 @@ class AdvancedEntropy extends Operation {
.data(byteFrequency)
.enter().append("rect")
.attr("x", (_, i) => xScale(i) + binWidth)
.attr("y", (dataPoint) => yScale(dataPoint))
.attr("y", dataPoint => yScale(dataPoint))
.attr("width", binWidth)
.attr("height", dataPoint => yScale(0) - yScale(dataPoint))
.attr("fill", "blue");
@ -252,13 +245,13 @@ class AdvancedEntropy extends Operation {
/**
* Creates a byte frequency histogram
*
*
* @param {byteArray} input
* @param {number} blockSize
* @returns {HTML}
*/
createEntropyCurve(input) {
const { entropyData, binWidth } = this.calculateScanningEntropy(input);
createEntropyCurve(entropyData) {
const margins = { top: 30, right: 20, bottom: 50, left: 30 };
const svgWidth = 500,
svgHeight = 500;
@ -270,8 +263,6 @@ class AdvancedEntropy extends Operation {
.attr("height", "100%")
.attr("viewBox", `0 0 ${svgWidth} ${svgHeight}`);
const margins = {top: 30, right: 20, bottom: 50, left: 30};
const yScale = d3.scaleLinear()
.domain([0, d3.max(entropyData, d => d)])
.range([svgHeight - margins.bottom, margins.top]);
@ -281,37 +272,35 @@ class AdvancedEntropy extends Operation {
.range([margins.left, svgWidth - margins.right]);
const line = d3.line()
.x((d, i) => { return xScale(i)})
.y((d) => { return yScale(d)})
.x((_, i) => xScale(i))
.y(d => yScale(d))
.curve(d3.curveMonotoneX);
if (entropyData.length > 0 ) {
svg.append('path')
if (entropyData.length > 0) {
svg.append("path")
.datum(entropyData)
.attr("d", line);
svg.selectAll("path").attr("fill", "none").attr("stroke", "steelblue");
}
this.createAxes(svg, xScale, yScale, svgHeight, svgWidth, margins, "Scanning Entropy" , `Block (${binWidth}B)`, "Entropy");
this.createAxes(svg, xScale, yScale, svgHeight, svgWidth, margins, "Scanning Entropy", "Block", "Entropy");
return svg._groups[0][0].outerHTML;
}
/**
* Creates an image representation of the entropy
*
*
* @param {byteArray} input
* @param {number} blockSize
* @returns {HTML}
*/
createEntropyImage(inputBytes) {
createEntropyImage(entropyData) {
const svgHeight = 100,
svgWidth = 100,
cellSize = 1,
nodes = [];
const { entropyData } = this.calculateScanningEntropy(inputBytes, svgWidth*svgHeight);
for (let i = 0; i < entropyData.length; i++) {
nodes.push({
@ -337,11 +326,11 @@ class AdvancedEntropy extends Operation {
.selectAll("rect")
.data(nodes)
.enter().append("rect")
.attr("x", (d, i) => d.x * cellSize)
.attr("y", (d, i) => d.y * cellSize)
.attr("x", d => d.x * cellSize)
.attr("y", d => d.y * cellSize)
.attr("width", cellSize)
.attr("height", cellSize)
.style("fill", (d) => greyScale(d.entropy))
.style("fill", d => greyScale(d.entropy));
return svg._groups[0][0].outerHTML;
}
@ -351,21 +340,18 @@ class AdvancedEntropy extends Operation {
* @param {Object[]} args
* @returns {html}
*/
run(input, args) {
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);
else if (visualizationType === "Curve") svgData = this.createEntropyCurve(input);
else if (visualizationType === "Image") svgData = this.createEntropyImage(input);
return svgData;
if (visualizationType === "Histogram (Bar)") {
return this.createByteFrequencyBarHistogram(this.calculateByteFrequency(input));
} else if (visualizationType === "Histogram (Line)") {
return this.createByteFrequencyLineHistogram(this.calculateByteFrequency(input));
} else if (visualizationType === "Curve") {
return this.createEntropyCurve(this.calculateScanningEntropy(input).entropyData);
} else if (visualizationType === "Image") {
return this.createEntropyImage(this.calculateScanningEntropy(input, 10000).entropyData);
}
}
}