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Repository files navigation

Requirements

This repository supports PicoScope® 6000 Series oscilloscope.

To install required Python packages:

pip install -r requirements.txt

Data acquisition interfaces

The current repository contains all the scripts needed to interact with data acquisition interfaces published in the paper: "Obfuscation Revealed: Electromagnetic obfuscated malware classification".

signal-processing

Compilation of tools to process side-channel data.

generate_traces_pico.py

usage: generate_traces_pico.py [-h] [-c COUNT] [-d DIRPATH] [-n NBSAMPLES]
[--timebase TIMEBASE]
[-p NOOFPRETRIGGERSAMPLES] [-pre PREFIX]
[-t TRIGGERCHAN] [-v] [-w WRAPPERPATH]
cmdFile
positional arguments:
cmdFile Path to a file containing the commands to launch.
optional arguments:
-h, --help show this help message and exit
-c COUNT Number of traces
-d DIRPATH Absolute path of directory to store data
-n NBSAMPLES Number of samples to capture
--timebase TIMEBASE Picoscope timebase. freq=5e9/2**timebase if
timebase<5; freq=156250000/(timebase-4) if timebase>=5
-p NOOFPRETRIGGERSAMPLES
Number of pre-triggered samples
-pre PREFIX Output file prefix
-t TRIGGERCHAN Set trigger channel
-v Print very useful informations
-w WRAPPERPATH path of the wrapper program that will trigger the
oscilloscope on the pi

This script interacts with target device via SSH. To change IP address of target device, please modify this line in generate_traces_pico.py .

ssh.connect('192.168.1.177', username='pi')

Example of traces capture:

./generate_traces_pico.py ./cmdFiles/cmdFile_bashlite.csv -c 3000 -d ./bashlite-2.43s-2Mss/ -t B --timebase 80 -n 5000000 -w
/home/pi/wrapper

This will capture 3000 traces from the oscilloscope, execute Bashlite malware with path defined in cmdFile_bashlite.csv, and output traces to folder bashlite-2.43s-2Mss. The oscilloscope will be executed in Block mode for oscilloscope under sampling frequency "80" which can be referred to the documentation of PicoScope® 6000 Series oscilloscope.

Command file

You now need to provide the list of commands you want to monitor in a cvs like file cmdFile. The file must be of this form: pretrigger-command,command,tag

Every loop iteration will, for each line of the cmdFile, do the following:

  1. Execute the pretrigger command on the device via ssh
  2. Arm the oscilloscope
  3. Trigger the oscilloscope and execute the monitored command
  4. Record the data in a file tag-randomId.dat

Example of a command file:

sudo rmmod kisni,./keyemu/emu.sh A 10,keyemu
sudo insmod keysniffer/kisni-4.19.57-v7+.ko,./keyemu/emu.sh A 10,keyemu_kisni

Wrapper path

To trigger the oscilloscope, we launch a wrapper program on the device. This wrapper will simply send the trigger and launch the program we want to monitor for the according time. It is automatically called by generate_traces_pico.py. You just need to precise its path on the monitored device. The compiled wrapper must be stored in /home/pi/wrapper or can be modified in generate_traces_pico.py .

About

The current repository contains all the scripts needed to interact with data acquisition interfaces published in the paper: "Obfuscation Revealed: Electromagnetic obfuscated malware classification".

Resources

Readme
License
Activity

Stars

0 stars

Watchers

0 watching

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0 forks
Report repository

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

Skip to content
BranchesTags
Repository files navigation
Requirements
This repository supports PicoScope® 6000 Series oscilloscope.
To install required Python packages:
pip install -r requirements.txt
Data acquisition interfaces
The current repository contains all the scripts needed to interact with data acquisition interfaces published in the paper: "Obfuscation Revealed: Electromagnetic obfuscated malware classification".
signal-processing
Compilation of tools to process side-channel data.
generate_traces_pico.py
usage: generate_traces_pico.py [-h] [-c COUNT] [-d DIRPATH] [-n NBSAMPLES]
[--timebase TIMEBASE]
[-p NOOFPRETRIGGERSAMPLES] [-pre PREFIX]
[-t TRIGGERCHAN] [-v] [-w WRAPPERPATH]
cmdFile
positional arguments:
cmdFile Path to a file containing the commands to launch.
optional arguments:
-h, --help show this help message and exit
-c COUNT Number of traces
-d DIRPATH Absolute path of directory to store data
-n NBSAMPLES Number of samples to capture
--timebase TIMEBASE Picoscope timebase. freq=5e9/2**timebase if
timebase<5; freq=156250000/(timebase-4) if timebase>=5
-p NOOFPRETRIGGERSAMPLES
Number of pre-triggered samples
-pre PREFIX Output file prefix
-t TRIGGERCHAN Set trigger channel
-v Print very useful informations
-w WRAPPERPATH path of the wrapper program that will trigger the
oscilloscope on the pi

This script interacts with target device via SSH. To change IP address of target device, please modify this line in generate_traces_pico.py .
ssh.connect('192.168.1.177', username='pi')
Example of traces capture:
./generate_traces_pico.py ./cmdFiles/cmdFile_bashlite.csv -c 3000 -d ./bashlite-2.43s-2Mss/ -t B --timebase 80 -n 5000000 -w
/home/pi/wrapper
This will capture 3000 traces from the oscilloscope, execute Bashlite malware with path defined in cmdFile_bashlite.csv, and output traces to folder bashlite-2.43s-2Mss. The oscilloscope will be executed in Block mode for oscilloscope under sampling frequency "80" which can be referred to the documentation of PicoScope® 6000 Series oscilloscope.
Command file
You now need to provide the list of commands you want to monitor in a cvs like file cmdFile.
The file must be of this form: pretrigger-command,command,tag
Every loop iteration will, for each line of the cmdFile, do the following:
  1. Execute the pretrigger command on the device via ssh
  2. Arm the oscilloscope
  3. Trigger the oscilloscope and execute the monitored command
  4. Record the data in a file tag-randomId.dat
Example of a command file:
sudo rmmod kisni,./keyemu/emu.sh A 10,keyemu
sudo insmod keysniffer/kisni-4.19.57-v7+.ko,./keyemu/emu.sh A 10,keyemu_kisni

Wrapper path
To trigger the oscilloscope, we launch a wrapper program on the device. This wrapper will simply send the trigger and launch the program we want to monitor for the according time. It is automatically called by generate_traces_pico.py. You just need to precise its path on the monitored device. The compiled wrapper must be stored in /home/pi/wrapper or can be modified in generate_traces_pico.py .
About
The current repository contains all the scripts needed to interact with data acquisition interfaces published in the paper: "Obfuscation Revealed: Electromagnetic obfuscated malware classification".
Resources
Readme
License
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix");
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
Requirements
This repository supports PicoScope® 6000 Series oscilloscope.
To install required Python packages:
pip install -r requirements.txt
Data acquisition interfaces
The current repository contains all the scripts needed to interact with data acquisition interfaces published in the paper: "Obfuscation Revealed: Electromagnetic obfuscated malware classification".
signal-processing
Compilation of tools to process side-channel data.
generate_traces_pico.py
usage: generate_traces_pico.py [-h] [-c COUNT] [-d DIRPATH] [-n NBSAMPLES]
[--timebase TIMEBASE]
[-p NOOFPRETRIGGERSAMPLES] [-pre PREFIX]
[-t TRIGGERCHAN] [-v] [-w WRAPPERPATH]
cmdFile
positional arguments:
cmdFile Path to a file containing the commands to launch.
optional arguments:
-h, --help show this help message and exit
-c COUNT Number of traces
-d DIRPATH Absolute path of directory to store data
-n NBSAMPLES Number of samples to capture
--timebase TIMEBASE Picoscope timebase. freq=5e9/2**timebase if
timebase<5; freq=156250000/(timebase-4) if timebase>=5
-p NOOFPRETRIGGERSAMPLES
Number of pre-triggered samples
-pre PREFIX Output file prefix
-t TRIGGERCHAN Set trigger channel
-v Print very useful informations
-w WRAPPERPATH path of the wrapper program that will trigger the
oscilloscope on the pi

This script interacts with target device via SSH. To change IP address of target device, please modify this line in generate_traces_pico.py .
ssh.connect('192.168.1.177', username='pi')
Example of traces capture:
./generate_traces_pico.py ./cmdFiles/cmdFile_bashlite.csv -c 3000 -d ./bashlite-2.43s-2Mss/ -t B --timebase 80 -n 5000000 -w
/home/pi/wrapper
This will capture 3000 traces from the oscilloscope, execute Bashlite malware with path defined in cmdFile_bashlite.csv, and output traces to folder bashlite-2.43s-2Mss. The oscilloscope will be executed in Block mode for oscilloscope under sampling frequency "80" which can be referred to the documentation of PicoScope® 6000 Series oscilloscope.
Command file
You now need to provide the list of commands you want to monitor in a cvs like file cmdFile.
The file must be of this form: pretrigger-command,command,tag
Every loop iteration will, for each line of the cmdFile, do the following:
  1. Execute the pretrigger command on the device via ssh
  2. Arm the oscilloscope
  3. Trigger the oscilloscope and execute the monitored command
  4. Record the data in a file tag-randomId.dat
Example of a command file:
sudo rmmod kisni,./keyemu/emu.sh A 10,keyemu
sudo insmod keysniffer/kisni-4.19.57-v7+.ko,./keyemu/emu.sh A 10,keyemu_kisni

Wrapper path
To trigger the oscilloscope, we launch a wrapper program on the device. This wrapper will simply send the trigger and launch the program we want to monitor for the according time. It is automatically called by generate_traces_pico.py. You just need to precise its path on the monitored device. The compiled wrapper must be stored in /home/pi/wrapper or can be modified in generate_traces_pico.py .
About
The current repository contains all the scripts needed to interact with data acquisition interfaces published in the paper: "Obfuscation Revealed: Electromagnetic obfuscated malware classification".
Resources
Readme
License
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms");
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
Requirements
This repository supports PicoScope® 6000 Series oscilloscope.
To install required Python packages:
pip install -r requirements.txt
Data acquisition interfaces
The current repository contains all the scripts needed to interact with data acquisition interfaces published in the paper: "Obfuscation Revealed: Electromagnetic obfuscated malware classification".
signal-processing
Compilation of tools to process side-channel data.
generate_traces_pico.py
usage: generate_traces_pico.py [-h] [-c COUNT] [-d DIRPATH] [-n NBSAMPLES]
[--timebase TIMEBASE]
[-p NOOFPRETRIGGERSAMPLES] [-pre PREFIX]
[-t TRIGGERCHAN] [-v] [-w WRAPPERPATH]
cmdFile
positional arguments:
cmdFile Path to a file containing the commands to launch.
optional arguments:
-h, --help show this help message and exit
-c COUNT Number of traces
-d DIRPATH Absolute path of directory to store data
-n NBSAMPLES Number of samples to capture
--timebase TIMEBASE Picoscope timebase. freq=5e9/2**timebase if
timebase<5; freq=156250000/(timebase-4) if timebase>=5
-p NOOFPRETRIGGERSAMPLES
Number of pre-triggered samples
-pre PREFIX Output file prefix
-t TRIGGERCHAN Set trigger channel
-v Print very useful informations
-w WRAPPERPATH path of the wrapper program that will trigger the
oscilloscope on the pi

This script interacts with target device via SSH. To change IP address of target device, please modify this line in generate_traces_pico.py .
ssh.connect('192.168.1.177', username='pi')
Example of traces capture:
./generate_traces_pico.py ./cmdFiles/cmdFile_bashlite.csv -c 3000 -d ./bashlite-2.43s-2Mss/ -t B --timebase 80 -n 5000000 -w
/home/pi/wrapper
This will capture 3000 traces from the oscilloscope, execute Bashlite malware with path defined in cmdFile_bashlite.csv, and output traces to folder bashlite-2.43s-2Mss. The oscilloscope will be executed in Block mode for oscilloscope under sampling frequency "80" which can be referred to the documentation of PicoScope® 6000 Series oscilloscope.
Command file
You now need to provide the list of commands you want to monitor in a cvs like file cmdFile.
The file must be of this form: pretrigger-command,command,tag
Every loop iteration will, for each line of the cmdFile, do the following:
  1. Execute the pretrigger command on the device via ssh
  2. Arm the oscilloscope
  3. Trigger the oscilloscope and execute the monitored command
  4. Record the data in a file tag-randomId.dat
Example of a command file:
sudo rmmod kisni,./keyemu/emu.sh A 10,keyemu
sudo insmod keysniffer/kisni-4.19.57-v7+.ko,./keyemu/emu.sh A 10,keyemu_kisni

Wrapper path
To trigger the oscilloscope, we launch a wrapper program on the device. This wrapper will simply send the trigger and launch the program we want to monitor for the according time. It is automatically called by generate_traces_pico.py. You just need to precise its path on the monitored device. The compiled wrapper must be stored in /home/pi/wrapper or can be modified in generate_traces_pico.py .
About
The current repository contains all the scripts needed to interact with data acquisition interfaces published in the paper: "Obfuscation Revealed: Electromagnetic obfuscated malware classification".
Resources
Readme
License
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

Skip to content
BranchesTags
Repository files navigation
Requirements
This repository supports PicoScope® 6000 Series oscilloscope.
To install required Python packages:
pip install -r requirements.txt
Data acquisition interfaces
The current repository contains all the scripts needed to interact with data acquisition interfaces published in the paper: "Obfuscation Revealed: Electromagnetic obfuscated malware classification".
signal-processing
Compilation of tools to process side-channel data.
generate_traces_pico.py
usage: generate_traces_pico.py [-h] [-c COUNT] [-d DIRPATH] [-n NBSAMPLES]
[--timebase TIMEBASE]
[-p NOOFPRETRIGGERSAMPLES] [-pre PREFIX]
[-t TRIGGERCHAN] [-v] [-w WRAPPERPATH]
cmdFile
positional arguments:
cmdFile Path to a file containing the commands to launch.
optional arguments:
-h, --help show this help message and exit
-c COUNT Number of traces
-d DIRPATH Absolute path of directory to store data
-n NBSAMPLES Number of samples to capture
--timebase TIMEBASE Picoscope timebase. freq=5e9/2**timebase if
timebase<5; freq=156250000/(timebase-4) if timebase>=5
-p NOOFPRETRIGGERSAMPLES
Number of pre-triggered samples
-pre PREFIX Output file prefix
-t TRIGGERCHAN Set trigger channel
-v Print very useful informations
-w WRAPPERPATH path of the wrapper program that will trigger the
oscilloscope on the pi

This script interacts with target device via SSH. To change IP address of target device, please modify this line in generate_traces_pico.py .
ssh.connect('192.168.1.177', username='pi')
Example of traces capture:
./generate_traces_pico.py ./cmdFiles/cmdFile_bashlite.csv -c 3000 -d ./bashlite-2.43s-2Mss/ -t B --timebase 80 -n 5000000 -w
/home/pi/wrapper
This will capture 3000 traces from the oscilloscope, execute Bashlite malware with path defined in cmdFile_bashlite.csv, and output traces to folder bashlite-2.43s-2Mss. The oscilloscope will be executed in Block mode for oscilloscope under sampling frequency "80" which can be referred to the documentation of PicoScope® 6000 Series oscilloscope.
Command file
You now need to provide the list of commands you want to monitor in a cvs like file cmdFile.
The file must be of this form: pretrigger-command,command,tag
Every loop iteration will, for each line of the cmdFile, do the following:
  1. Execute the pretrigger command on the device via ssh
  2. Arm the oscilloscope
  3. Trigger the oscilloscope and execute the monitored command
  4. Record the data in a file tag-randomId.dat
Example of a command file:
sudo rmmod kisni,./keyemu/emu.sh A 10,keyemu
sudo insmod keysniffer/kisni-4.19.57-v7+.ko,./keyemu/emu.sh A 10,keyemu_kisni

Wrapper path
To trigger the oscilloscope, we launch a wrapper program on the device. This wrapper will simply send the trigger and launch the program we want to monitor for the according time. It is automatically called by generate_traces_pico.py. You just need to precise its path on the monitored device. The compiled wrapper must be stored in /home/pi/wrapper or can be modified in generate_traces_pico.py .
About
The current repository contains all the scripts needed to interact with data acquisition interfaces published in the paper: "Obfuscation Revealed: Electromagnetic obfuscated malware classification".
Resources
Readme
License
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
Requirements
This repository supports PicoScope® 6000 Series oscilloscope.
To install required Python packages:
pip install -r requirements.txt
Data acquisition interfaces
The current repository contains all the scripts needed to interact with data acquisition interfaces published in the paper: "Obfuscation Revealed: Electromagnetic obfuscated malware classification".
signal-processing
Compilation of tools to process side-channel data.
generate_traces_pico.py
usage: generate_traces_pico.py [-h] [-c COUNT] [-d DIRPATH] [-n NBSAMPLES]
[--timebase TIMEBASE]
[-p NOOFPRETRIGGERSAMPLES] [-pre PREFIX]
[-t TRIGGERCHAN] [-v] [-w WRAPPERPATH]
cmdFile
positional arguments:
cmdFile Path to a file containing the commands to launch.
optional arguments:
-h, --help show this help message and exit
-c COUNT Number of traces
-d DIRPATH Absolute path of directory to store data
-n NBSAMPLES Number of samples to capture
--timebase TIMEBASE Picoscope timebase. freq=5e9/2**timebase if
timebase<5; freq=156250000/(timebase-4) if timebase>=5
-p NOOFPRETRIGGERSAMPLES
Number of pre-triggered samples
-pre PREFIX Output file prefix
-t TRIGGERCHAN Set trigger channel
-v Print very useful informations
-w WRAPPERPATH path of the wrapper program that will trigger the
oscilloscope on the pi

This script interacts with target device via SSH. To change IP address of target device, please modify this line in generate_traces_pico.py .
ssh.connect('192.168.1.177', username='pi')
Example of traces capture:
./generate_traces_pico.py ./cmdFiles/cmdFile_bashlite.csv -c 3000 -d ./bashlite-2.43s-2Mss/ -t B --timebase 80 -n 5000000 -w
/home/pi/wrapper
This will capture 3000 traces from the oscilloscope, execute Bashlite malware with path defined in cmdFile_bashlite.csv, and output traces to folder bashlite-2.43s-2Mss. The oscilloscope will be executed in Block mode for oscilloscope under sampling frequency "80" which can be referred to the documentation of PicoScope® 6000 Series oscilloscope.
Command file
You now need to provide the list of commands you want to monitor in a cvs like file cmdFile.
The file must be of this form: pretrigger-command,command,tag
Every loop iteration will, for each line of the cmdFile, do the following:
  1. Execute the pretrigger command on the device via ssh
  2. Arm the oscilloscope
  3. Trigger the oscilloscope and execute the monitored command
  4. Record the data in a file tag-randomId.dat
Example of a command file:
sudo rmmod kisni,./keyemu/emu.sh A 10,keyemu
sudo insmod keysniffer/kisni-4.19.57-v7+.ko,./keyemu/emu.sh A 10,keyemu_kisni

Wrapper path
To trigger the oscilloscope, we launch a wrapper program on the device. This wrapper will simply send the trigger and launch the program we want to monitor for the according time. It is automatically called by generate_traces_pico.py. You just need to precise its path on the monitored device. The compiled wrapper must be stored in /home/pi/wrapper or can be modified in generate_traces_pico.py .
About
The current repository contains all the scripts needed to interact with data acquisition interfaces published in the paper: "Obfuscation Revealed: Electromagnetic obfuscated malware classification".
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
Requirements
This repository supports PicoScope® 6000 Series oscilloscope.
To install required Python packages:
pip install -r requirements.txt
Data acquisition interfaces
The current repository contains all the scripts needed to interact with data acquisition interfaces published in the paper: "Obfuscation Revealed: Electromagnetic obfuscated malware classification".
signal-processing
Compilation of tools to process side-channel data.
generate_traces_pico.py
usage: generate_traces_pico.py [-h] [-c COUNT] [-d DIRPATH] [-n NBSAMPLES]
[--timebase TIMEBASE]
[-p NOOFPRETRIGGERSAMPLES] [-pre PREFIX]
[-t TRIGGERCHAN] [-v] [-w WRAPPERPATH]
cmdFile
positional arguments:
cmdFile Path to a file containing the commands to launch.
optional arguments:
-h, --help show this help message and exit
-c COUNT Number of traces
-d DIRPATH Absolute path of directory to store data
-n NBSAMPLES Number of samples to capture
--timebase TIMEBASE Picoscope timebase. freq=5e9/2**timebase if
timebase<5; freq=156250000/(timebase-4) if timebase>=5
-p NOOFPRETRIGGERSAMPLES
Number of pre-triggered samples
-pre PREFIX Output file prefix
-t TRIGGERCHAN Set trigger channel
-v Print very useful informations
-w WRAPPERPATH path of the wrapper program that will trigger the
oscilloscope on the pi

This script interacts with target device via SSH. To change IP address of target device, please modify this line in generate_traces_pico.py .
ssh.connect('192.168.1.177', username='pi')
Example of traces capture:
./generate_traces_pico.py ./cmdFiles/cmdFile_bashlite.csv -c 3000 -d ./bashlite-2.43s-2Mss/ -t B --timebase 80 -n 5000000 -w
/home/pi/wrapper
This will capture 3000 traces from the oscilloscope, execute Bashlite malware with path defined in cmdFile_bashlite.csv, and output traces to folder bashlite-2.43s-2Mss. The oscilloscope will be executed in Block mode for oscilloscope under sampling frequency "80" which can be referred to the documentation of PicoScope® 6000 Series oscilloscope.
Command file
You now need to provide the list of commands you want to monitor in a cvs like file cmdFile.
The file must be of this form: pretrigger-command,command,tag
Every loop iteration will, for each line of the cmdFile, do the following:
  1. Execute the pretrigger command on the device via ssh
  2. Arm the oscilloscope
  3. Trigger the oscilloscope and execute the monitored command
  4. Record the data in a file tag-randomId.dat
Example of a command file:
sudo rmmod kisni,./keyemu/emu.sh A 10,keyemu
sudo insmod keysniffer/kisni-4.19.57-v7+.ko,./keyemu/emu.sh A 10,keyemu_kisni

Wrapper path
To trigger the oscilloscope, we launch a wrapper program on the device. This wrapper will simply send the trigger and launch the program we want to monitor for the according time. It is automatically called by generate_traces_pico.py. You just need to precise its path on the monitored device. The compiled wrapper must be stored in /home/pi/wrapper or can be modified in generate_traces_pico.py .
About
The current repository contains all the scripts needed to interact with data acquisition interfaces published in the paper: "Obfuscation Revealed: Electromagnetic obfuscated malware classification".
Resources
Readme
License
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode");
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

Skip to content
BranchesTags
Repository files navigation
Requirements
This repository supports PicoScope® 6000 Series oscilloscope.
To install required Python packages:
pip install -r requirements.txt
Data acquisition interfaces
The current repository contains all the scripts needed to interact with data acquisition interfaces published in the paper: "Obfuscation Revealed: Electromagnetic obfuscated malware classification".
signal-processing
Compilation of tools to process side-channel data.
generate_traces_pico.py
usage: generate_traces_pico.py [-h] [-c COUNT] [-d DIRPATH] [-n NBSAMPLES]
[--timebase TIMEBASE]
[-p NOOFPRETRIGGERSAMPLES] [-pre PREFIX]
[-t TRIGGERCHAN] [-v] [-w WRAPPERPATH]
cmdFile
positional arguments:
cmdFile Path to a file containing the commands to launch.
optional arguments:
-h, --help show this help message and exit
-c COUNT Number of traces
-d DIRPATH Absolute path of directory to store data
-n NBSAMPLES Number of samples to capture
--timebase TIMEBASE Picoscope timebase. freq=5e9/2**timebase if
timebase<5; freq=156250000/(timebase-4) if timebase>=5
-p NOOFPRETRIGGERSAMPLES
Number of pre-triggered samples
-pre PREFIX Output file prefix
-t TRIGGERCHAN Set trigger channel
-v Print very useful informations
-w WRAPPERPATH path of the wrapper program that will trigger the
oscilloscope on the pi

This script interacts with target device via SSH. To change IP address of target device, please modify this line in generate_traces_pico.py .
ssh.connect('192.168.1.177', username='pi')
Example of traces capture:
./generate_traces_pico.py ./cmdFiles/cmdFile_bashlite.csv -c 3000 -d ./bashlite-2.43s-2Mss/ -t B --timebase 80 -n 5000000 -w
/home/pi/wrapper
This will capture 3000 traces from the oscilloscope, execute Bashlite malware with path defined in cmdFile_bashlite.csv, and output traces to folder bashlite-2.43s-2Mss. The oscilloscope will be executed in Block mode for oscilloscope under sampling frequency "80" which can be referred to the documentation of PicoScope® 6000 Series oscilloscope.
Command file
You now need to provide the list of commands you want to monitor in a cvs like file cmdFile.
The file must be of this form: pretrigger-command,command,tag
Every loop iteration will, for each line of the cmdFile, do the following:
  1. Execute the pretrigger command on the device via ssh
  2. Arm the oscilloscope
  3. Trigger the oscilloscope and execute the monitored command
  4. Record the data in a file tag-randomId.dat
Example of a command file:
sudo rmmod kisni,./keyemu/emu.sh A 10,keyemu
sudo insmod keysniffer/kisni-4.19.57-v7+.ko,./keyemu/emu.sh A 10,keyemu_kisni

Wrapper path
To trigger the oscilloscope, we launch a wrapper program on the device. This wrapper will simply send the trigger and launch the program we want to monitor for the according time. It is automatically called by generate_traces_pico.py. You just need to precise its path on the monitored device. The compiled wrapper must be stored in /home/pi/wrapper or can be modified in generate_traces_pico.py .
About
The current repository contains all the scripts needed to interact with data acquisition interfaces published in the paper: "Obfuscation Revealed: Electromagnetic obfuscated malware classification".
Resources
Readme
License
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages