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pcapinator

An application to deal with lots of pcaps by running lots of tsharks

Setup

Install Python3, the one true Python...

pip install python-dateutil pandas

Features

Recursively process multiple PCAP files including those in subdirectories.

Wrapper around editcap (Wireshark Tool) that will let the user break PCAP files into smaller pieces.

Automatically grab all handshakes save as a pcap and also hashcat file for processing.

Wrapper around tshark that will let the user filter pcap files for handshakes and output as pcap.

Gathers standard wireless info and puts it into a CSV

USAGE Examples:

Run PCAPFix on the dataset to repair damaged or cutshort PCAPs.

./pcapinator.py --in [directory or file] --pcapfix --pcapfix_dir [directory for original pcaps before fix] --debug

Gather all of the typical wireless information from a pcap and output a single CSV. This will split the PCAP files and procees them based on the number of CPU cores you have.

./pcapinator.py --in [directory or file] --wifi_csv --split --debug

Run a custom tshark query and output the fields you specify. In this case its searching for anything email related and ouputting related interesting fields.

./pcapinator.py --in [directory or file] --query "tcp.port == 143 || tcp.port == 110 || tcp.port == 25 || tcp.port == 26 || pop || imap || smtp" --fields "-e ip.src -e ip.dst -e tcp.srcport -e tcp.dstport -e text -e tcp.payload" --split --debug

A custom query to get HTTP data.

./pcapinator.py --in [directory or file] --query "http" --fields "-e ip.src -e ip.dst -e tcp.srcport -e tcp.dstport -e text -e tcp.payload" --split --debug

A custom query to get SSIDs that contain the letters TEST, change TEST to your partial search parameter.

./pcapinator.py --in [directory or file] --query "wlan.ssid contains TEST" --fields "-e frame.time -e frame.time_epoch -e wlan.sa -e wlan.ta -e wlan.ta_resolved -e wlan.ra -e wlan.da -e wlan.bssid -e wlan.ssid -e wps.manufacturer -e wps.device_name -e wps.model_name -e wps.model_number -e wps.uuid_e -e wlan.fc.type_subtype -e frame.len -e wlan_radio.signal_dbm" --split --debug

Get a CSV file with DNS info.

./pcapinator.py --in [directory or file] --dnsSimple --split --debug

Future Features

Automatic import into Postgres database from a PCAP file.

Automatic import into Elastic Stack.

Automatic push into Graphistry

Generalized use around editcap to support other options supported by the tool.

Generalized use around tshark to support other options supported by the tool.

Tool to strip all unencrypted data from pcap files and put the results into new pcap files.

Tool to anonymize traffic datas but maintain context.

About

A tool for processing a lot of pcaps using tshark

Resources

Readme
MIT license
Activity

Stars

155 stars

Watchers

10 watching

Forks

29 forks
Report repository

Releases

Packages

Used by

Contributors

Languages

, '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" + '

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pcapinator
An application to deal with lots of pcaps by running lots of tsharks
Setup
Install Python3, the one true Python...
pip install python-dateutil pandas

Features
Recursively process multiple PCAP files including those in subdirectories.
Wrapper around editcap (Wireshark Tool) that will let the user break PCAP files into smaller pieces.
Automatically grab all handshakes save as a pcap and also hashcat file for processing.
Wrapper around tshark that will let the user filter pcap files for handshakes and output as pcap.
Gathers standard wireless info and puts it into a CSV
USAGE Examples:
Run PCAPFix on the dataset to repair damaged or cutshort PCAPs.
./pcapinator.py --in [directory or file] --pcapfix --pcapfix_dir [directory for original pcaps before fix] --debug
Gather all of the typical wireless information from a pcap and output a single CSV. This will split the PCAP files and procees them based on the number of CPU cores you have.
./pcapinator.py --in [directory or file] --wifi_csv --split --debug
Run a custom tshark query and output the fields you specify. In this case its searching for anything email related and ouputting related interesting fields.
./pcapinator.py --in [directory or file] --query "tcp.port == 143 || tcp.port == 110 || tcp.port == 25 || tcp.port == 26 || pop || imap || smtp" --fields "-e ip.src -e ip.dst -e tcp.srcport -e tcp.dstport -e text -e tcp.payload" --split --debug
A custom query to get HTTP data.
./pcapinator.py --in [directory or file] --query "http" --fields "-e ip.src -e ip.dst -e tcp.srcport -e tcp.dstport -e text -e tcp.payload" --split --debug
A custom query to get SSIDs that contain the letters TEST, change TEST to your partial search parameter.
./pcapinator.py --in [directory or file] --query "wlan.ssid contains TEST" --fields "-e frame.time -e frame.time_epoch -e wlan.sa -e wlan.ta -e wlan.ta_resolved -e wlan.ra -e wlan.da -e wlan.bssid -e wlan.ssid -e wps.manufacturer -e wps.device_name -e wps.model_name -e wps.model_number -e wps.uuid_e -e wlan.fc.type_subtype -e frame.len -e wlan_radio.signal_dbm" --split --debug
Get a CSV file with DNS info.
./pcapinator.py --in [directory or file] --dnsSimple --split --debug
Future Features
Automatic import into Postgres database from a PCAP file.
Automatic import into Elastic Stack.
Automatic push into Graphistry
Generalized use around editcap to support other options supported by the tool.
Generalized use around tshark to support other options supported by the tool.
Tool to strip all unencrypted data from pcap files and put the results into new pcap files.
Tool to anonymize traffic datas but maintain context.
About
A tool for processing a lot of pcaps using tshark
Resources
Readme
MIT license
Activity
Stars
155 stars
Watchers
10 watching
Forks
29 forks
Report repository
Releases
Packages
Used by
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('^' + ".*" + '

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pcapinator.py
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pcapinator
An application to deal with lots of pcaps by running lots of tsharks
Setup
Install Python3, the one true Python...
pip install python-dateutil pandas

Features
Recursively process multiple PCAP files including those in subdirectories.
Wrapper around editcap (Wireshark Tool) that will let the user break PCAP files into smaller pieces.
Automatically grab all handshakes save as a pcap and also hashcat file for processing.
Wrapper around tshark that will let the user filter pcap files for handshakes and output as pcap.
Gathers standard wireless info and puts it into a CSV
USAGE Examples:
Run PCAPFix on the dataset to repair damaged or cutshort PCAPs.
./pcapinator.py --in [directory or file] --pcapfix --pcapfix_dir [directory for original pcaps before fix] --debug
Gather all of the typical wireless information from a pcap and output a single CSV. This will split the PCAP files and procees them based on the number of CPU cores you have.
./pcapinator.py --in [directory or file] --wifi_csv --split --debug
Run a custom tshark query and output the fields you specify. In this case its searching for anything email related and ouputting related interesting fields.
./pcapinator.py --in [directory or file] --query "tcp.port == 143 || tcp.port == 110 || tcp.port == 25 || tcp.port == 26 || pop || imap || smtp" --fields "-e ip.src -e ip.dst -e tcp.srcport -e tcp.dstport -e text -e tcp.payload" --split --debug
A custom query to get HTTP data.
./pcapinator.py --in [directory or file] --query "http" --fields "-e ip.src -e ip.dst -e tcp.srcport -e tcp.dstport -e text -e tcp.payload" --split --debug
A custom query to get SSIDs that contain the letters TEST, change TEST to your partial search parameter.
./pcapinator.py --in [directory or file] --query "wlan.ssid contains TEST" --fields "-e frame.time -e frame.time_epoch -e wlan.sa -e wlan.ta -e wlan.ta_resolved -e wlan.ra -e wlan.da -e wlan.bssid -e wlan.ssid -e wps.manufacturer -e wps.device_name -e wps.model_name -e wps.model_number -e wps.uuid_e -e wlan.fc.type_subtype -e frame.len -e wlan_radio.signal_dbm" --split --debug
Get a CSV file with DNS info.
./pcapinator.py --in [directory or file] --dnsSimple --split --debug
Future Features
Automatic import into Postgres database from a PCAP file.
Automatic import into Elastic Stack.
Automatic push into Graphistry
Generalized use around editcap to support other options supported by the tool.
Generalized use around tshark to support other options supported by the tool.
Tool to strip all unencrypted data from pcap files and put the results into new pcap files.
Tool to anonymize traffic datas but maintain context.
About
A tool for processing a lot of pcaps using tshark
Resources
Readme
MIT license
Activity
Stars
155 stars
Watchers
10 watching
Forks
29 forks
Report repository
Releases
Packages
Used by
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('^' + ".*" + '

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12 Commits
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README.md
pcapinator.py
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Repository files navigation
pcapinator
An application to deal with lots of pcaps by running lots of tsharks
Setup
Install Python3, the one true Python...
pip install python-dateutil pandas

Features
Recursively process multiple PCAP files including those in subdirectories.
Wrapper around editcap (Wireshark Tool) that will let the user break PCAP files into smaller pieces.
Automatically grab all handshakes save as a pcap and also hashcat file for processing.
Wrapper around tshark that will let the user filter pcap files for handshakes and output as pcap.
Gathers standard wireless info and puts it into a CSV
USAGE Examples:
Run PCAPFix on the dataset to repair damaged or cutshort PCAPs.
./pcapinator.py --in [directory or file] --pcapfix --pcapfix_dir [directory for original pcaps before fix] --debug
Gather all of the typical wireless information from a pcap and output a single CSV. This will split the PCAP files and procees them based on the number of CPU cores you have.
./pcapinator.py --in [directory or file] --wifi_csv --split --debug
Run a custom tshark query and output the fields you specify. In this case its searching for anything email related and ouputting related interesting fields.
./pcapinator.py --in [directory or file] --query "tcp.port == 143 || tcp.port == 110 || tcp.port == 25 || tcp.port == 26 || pop || imap || smtp" --fields "-e ip.src -e ip.dst -e tcp.srcport -e tcp.dstport -e text -e tcp.payload" --split --debug
A custom query to get HTTP data.
./pcapinator.py --in [directory or file] --query "http" --fields "-e ip.src -e ip.dst -e tcp.srcport -e tcp.dstport -e text -e tcp.payload" --split --debug
A custom query to get SSIDs that contain the letters TEST, change TEST to your partial search parameter.
./pcapinator.py --in [directory or file] --query "wlan.ssid contains TEST" --fields "-e frame.time -e frame.time_epoch -e wlan.sa -e wlan.ta -e wlan.ta_resolved -e wlan.ra -e wlan.da -e wlan.bssid -e wlan.ssid -e wps.manufacturer -e wps.device_name -e wps.model_name -e wps.model_number -e wps.uuid_e -e wlan.fc.type_subtype -e frame.len -e wlan_radio.signal_dbm" --split --debug
Get a CSV file with DNS info.
./pcapinator.py --in [directory or file] --dnsSimple --split --debug
Future Features
Automatic import into Postgres database from a PCAP file.
Automatic import into Elastic Stack.
Automatic push into Graphistry
Generalized use around editcap to support other options supported by the tool.
Generalized use around tshark to support other options supported by the tool.
Tool to strip all unencrypted data from pcap files and put the results into new pcap files.
Tool to anonymize traffic datas but maintain context.
About
A tool for processing a lot of pcaps using tshark
Resources
Readme
MIT license
Activity
Stars
155 stars
Watchers
10 watching
Forks
29 forks
Report repository
Releases
Packages
Used by
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" + '

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pcapinator
An application to deal with lots of pcaps by running lots of tsharks
Setup
Install Python3, the one true Python...
pip install python-dateutil pandas

Features
Recursively process multiple PCAP files including those in subdirectories.
Wrapper around editcap (Wireshark Tool) that will let the user break PCAP files into smaller pieces.
Automatically grab all handshakes save as a pcap and also hashcat file for processing.
Wrapper around tshark that will let the user filter pcap files for handshakes and output as pcap.
Gathers standard wireless info and puts it into a CSV
USAGE Examples:
Run PCAPFix on the dataset to repair damaged or cutshort PCAPs.
./pcapinator.py --in [directory or file] --pcapfix --pcapfix_dir [directory for original pcaps before fix] --debug
Gather all of the typical wireless information from a pcap and output a single CSV. This will split the PCAP files and procees them based on the number of CPU cores you have.
./pcapinator.py --in [directory or file] --wifi_csv --split --debug
Run a custom tshark query and output the fields you specify. In this case its searching for anything email related and ouputting related interesting fields.
./pcapinator.py --in [directory or file] --query "tcp.port == 143 || tcp.port == 110 || tcp.port == 25 || tcp.port == 26 || pop || imap || smtp" --fields "-e ip.src -e ip.dst -e tcp.srcport -e tcp.dstport -e text -e tcp.payload" --split --debug
A custom query to get HTTP data.
./pcapinator.py --in [directory or file] --query "http" --fields "-e ip.src -e ip.dst -e tcp.srcport -e tcp.dstport -e text -e tcp.payload" --split --debug
A custom query to get SSIDs that contain the letters TEST, change TEST to your partial search parameter.
./pcapinator.py --in [directory or file] --query "wlan.ssid contains TEST" --fields "-e frame.time -e frame.time_epoch -e wlan.sa -e wlan.ta -e wlan.ta_resolved -e wlan.ra -e wlan.da -e wlan.bssid -e wlan.ssid -e wps.manufacturer -e wps.device_name -e wps.model_name -e wps.model_number -e wps.uuid_e -e wlan.fc.type_subtype -e frame.len -e wlan_radio.signal_dbm" --split --debug
Get a CSV file with DNS info.
./pcapinator.py --in [directory or file] --dnsSimple --split --debug
Future Features
Automatic import into Postgres database from a PCAP file.
Automatic import into Elastic Stack.
Automatic push into Graphistry
Generalized use around editcap to support other options supported by the tool.
Generalized use around tshark to support other options supported by the tool.
Tool to strip all unencrypted data from pcap files and put the results into new pcap files.
Tool to anonymize traffic datas but maintain context.
About
A tool for processing a lot of pcaps using tshark
Resources
Readme
MIT license
Activity
Stars
155 stars
Watchers
10 watching
Forks
29 forks
Report repository
Releases
Packages
Used by
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('^' + ".*" + '

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pcapinator
An application to deal with lots of pcaps by running lots of tsharks
Setup
Install Python3, the one true Python...
pip install python-dateutil pandas

Features
Recursively process multiple PCAP files including those in subdirectories.
Wrapper around editcap (Wireshark Tool) that will let the user break PCAP files into smaller pieces.
Automatically grab all handshakes save as a pcap and also hashcat file for processing.
Wrapper around tshark that will let the user filter pcap files for handshakes and output as pcap.
Gathers standard wireless info and puts it into a CSV
USAGE Examples:
Run PCAPFix on the dataset to repair damaged or cutshort PCAPs.
./pcapinator.py --in [directory or file] --pcapfix --pcapfix_dir [directory for original pcaps before fix] --debug
Gather all of the typical wireless information from a pcap and output a single CSV. This will split the PCAP files and procees them based on the number of CPU cores you have.
./pcapinator.py --in [directory or file] --wifi_csv --split --debug
Run a custom tshark query and output the fields you specify. In this case its searching for anything email related and ouputting related interesting fields.
./pcapinator.py --in [directory or file] --query "tcp.port == 143 || tcp.port == 110 || tcp.port == 25 || tcp.port == 26 || pop || imap || smtp" --fields "-e ip.src -e ip.dst -e tcp.srcport -e tcp.dstport -e text -e tcp.payload" --split --debug
A custom query to get HTTP data.
./pcapinator.py --in [directory or file] --query "http" --fields "-e ip.src -e ip.dst -e tcp.srcport -e tcp.dstport -e text -e tcp.payload" --split --debug
A custom query to get SSIDs that contain the letters TEST, change TEST to your partial search parameter.
./pcapinator.py --in [directory or file] --query "wlan.ssid contains TEST" --fields "-e frame.time -e frame.time_epoch -e wlan.sa -e wlan.ta -e wlan.ta_resolved -e wlan.ra -e wlan.da -e wlan.bssid -e wlan.ssid -e wps.manufacturer -e wps.device_name -e wps.model_name -e wps.model_number -e wps.uuid_e -e wlan.fc.type_subtype -e frame.len -e wlan_radio.signal_dbm" --split --debug
Get a CSV file with DNS info.
./pcapinator.py --in [directory or file] --dnsSimple --split --debug
Future Features
Automatic import into Postgres database from a PCAP file.
Automatic import into Elastic Stack.
Automatic push into Graphistry
Generalized use around editcap to support other options supported by the tool.
Generalized use around tshark to support other options supported by the tool.
Tool to strip all unencrypted data from pcap files and put the results into new pcap files.
Tool to anonymize traffic datas but maintain context.
About
A tool for processing a lot of pcaps using tshark
Resources
Readme
MIT license
Activity
Stars
155 stars
Watchers
10 watching
Forks
29 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, '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('^' + ".*" + '

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pcapinator
An application to deal with lots of pcaps by running lots of tsharks
Setup
Install Python3, the one true Python...
pip install python-dateutil pandas

Features
Recursively process multiple PCAP files including those in subdirectories.
Wrapper around editcap (Wireshark Tool) that will let the user break PCAP files into smaller pieces.
Automatically grab all handshakes save as a pcap and also hashcat file for processing.
Wrapper around tshark that will let the user filter pcap files for handshakes and output as pcap.
Gathers standard wireless info and puts it into a CSV
USAGE Examples:
Run PCAPFix on the dataset to repair damaged or cutshort PCAPs.
./pcapinator.py --in [directory or file] --pcapfix --pcapfix_dir [directory for original pcaps before fix] --debug
Gather all of the typical wireless information from a pcap and output a single CSV. This will split the PCAP files and procees them based on the number of CPU cores you have.
./pcapinator.py --in [directory or file] --wifi_csv --split --debug
Run a custom tshark query and output the fields you specify. In this case its searching for anything email related and ouputting related interesting fields.
./pcapinator.py --in [directory or file] --query "tcp.port == 143 || tcp.port == 110 || tcp.port == 25 || tcp.port == 26 || pop || imap || smtp" --fields "-e ip.src -e ip.dst -e tcp.srcport -e tcp.dstport -e text -e tcp.payload" --split --debug
A custom query to get HTTP data.
./pcapinator.py --in [directory or file] --query "http" --fields "-e ip.src -e ip.dst -e tcp.srcport -e tcp.dstport -e text -e tcp.payload" --split --debug
A custom query to get SSIDs that contain the letters TEST, change TEST to your partial search parameter.
./pcapinator.py --in [directory or file] --query "wlan.ssid contains TEST" --fields "-e frame.time -e frame.time_epoch -e wlan.sa -e wlan.ta -e wlan.ta_resolved -e wlan.ra -e wlan.da -e wlan.bssid -e wlan.ssid -e wps.manufacturer -e wps.device_name -e wps.model_name -e wps.model_number -e wps.uuid_e -e wlan.fc.type_subtype -e frame.len -e wlan_radio.signal_dbm" --split --debug
Get a CSV file with DNS info.
./pcapinator.py --in [directory or file] --dnsSimple --split --debug
Future Features
Automatic import into Postgres database from a PCAP file.
Automatic import into Elastic Stack.
Automatic push into Graphistry
Generalized use around editcap to support other options supported by the tool.
Generalized use around tshark to support other options supported by the tool.
Tool to strip all unencrypted data from pcap files and put the results into new pcap files.
Tool to anonymize traffic datas but maintain context.
About
A tool for processing a lot of pcaps using tshark
Resources
Readme
MIT license
Activity
Stars
155 stars
Watchers
10 watching
Forks
29 forks
Report repository
Releases
Packages
Used by
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
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History
12 Commits
Folders and files
NameName
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LICENSE
LICENSE
README.md
README.md
pcapinator.py
pcapinator.py
Repository files navigation
pcapinator
An application to deal with lots of pcaps by running lots of tsharks
Setup
Install Python3, the one true Python...
pip install python-dateutil pandas

Features
Recursively process multiple PCAP files including those in subdirectories.
Wrapper around editcap (Wireshark Tool) that will let the user break PCAP files into smaller pieces.
Automatically grab all handshakes save as a pcap and also hashcat file for processing.
Wrapper around tshark that will let the user filter pcap files for handshakes and output as pcap.
Gathers standard wireless info and puts it into a CSV
USAGE Examples:
Run PCAPFix on the dataset to repair damaged or cutshort PCAPs.
./pcapinator.py --in [directory or file] --pcapfix --pcapfix_dir [directory for original pcaps before fix] --debug
Gather all of the typical wireless information from a pcap and output a single CSV. This will split the PCAP files and procees them based on the number of CPU cores you have.
./pcapinator.py --in [directory or file] --wifi_csv --split --debug
Run a custom tshark query and output the fields you specify. In this case its searching for anything email related and ouputting related interesting fields.
./pcapinator.py --in [directory or file] --query "tcp.port == 143 || tcp.port == 110 || tcp.port == 25 || tcp.port == 26 || pop || imap || smtp" --fields "-e ip.src -e ip.dst -e tcp.srcport -e tcp.dstport -e text -e tcp.payload" --split --debug
A custom query to get HTTP data.
./pcapinator.py --in [directory or file] --query "http" --fields "-e ip.src -e ip.dst -e tcp.srcport -e tcp.dstport -e text -e tcp.payload" --split --debug
A custom query to get SSIDs that contain the letters TEST, change TEST to your partial search parameter.
./pcapinator.py --in [directory or file] --query "wlan.ssid contains TEST" --fields "-e frame.time -e frame.time_epoch -e wlan.sa -e wlan.ta -e wlan.ta_resolved -e wlan.ra -e wlan.da -e wlan.bssid -e wlan.ssid -e wps.manufacturer -e wps.device_name -e wps.model_name -e wps.model_number -e wps.uuid_e -e wlan.fc.type_subtype -e frame.len -e wlan_radio.signal_dbm" --split --debug
Get a CSV file with DNS info.
./pcapinator.py --in [directory or file] --dnsSimple --split --debug
Future Features
Automatic import into Postgres database from a PCAP file.
Automatic import into Elastic Stack.
Automatic push into Graphistry
Generalized use around editcap to support other options supported by the tool.
Generalized use around tshark to support other options supported by the tool.
Tool to strip all unencrypted data from pcap files and put the results into new pcap files.
Tool to anonymize traffic datas but maintain context.
About
A tool for processing a lot of pcaps using tshark
Resources
Readme
MIT license
Activity
Stars
155 stars
Watchers
10 watching
Forks
29 forks
Report repository
Releases
Packages
Used by
Contributors
Languages