BranchesTags

Repository files navigation

DROP - DROne Parser

Devon Clark - 2016

UNHcFREG

This open source forensics tool can be used to extract data from FLY???.DAT files found on DJI Phantom III drone internal storage. It requires Python 3 to run. Additionally this tool will also attempt to form a correlation between the input DAT file and an optionally specified DJI GO generated flight record file or set of files.

File structure, packet structure, and payload decryption was understood through reverse engineering the DatCon application

usage: python DROP.py [-h] [-o OUTPUT] [-t T] [-f] input

positional arguments:

input path to input DAT file or directory

optional arguments:

-h, --help show this help message and exit

-o OUTPUT, --output OUTPUT path to output CSV File or directory. If none is specified the output will be saved in the current directory.

-t T path to input Flight Record CSV file or directory

-f, `--force force processing of file(s) if correct file header is not found

About

Drone Parser

Resources

Readme
MIT license
Activity

Stars

0 stars

Watchers

1 watching

Forks

0 forks
Report repository

Releases

Packages

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" + '

Skip to content
BranchesTags
Repository files navigation
DROP - DROne Parser
Devon Clark - 2016
UNHcFREG
This open source forensics tool can be used to extract data from FLY???.DAT files found on DJI Phantom III drone internal storage. It requires Python 3 to run. Additionally this tool will also attempt to form a correlation between the input DAT file and an optionally specified DJI GO generated flight record file or set of files.
File structure, packet structure, and payload decryption was understood through reverse engineering the DatCon application
usage: python DROP.py [-h] [-o OUTPUT] [-t T] [-f] input
positional arguments:
input path to input DAT file or directory
optional arguments:
-h, --help show this help message and exit
-o OUTPUT, --output OUTPUT
path to output CSV File or directory. If none is
specified the output will be saved in the current
directory.
-t T path to input Flight Record CSV file or directory
-f, `--force force processing of file(s) if correct file header is
not found
About
Drone Parser
Resources
Readme
MIT license
Activity
Stars
0 stars
Watchers
1 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
DROP - DROne Parser
Devon Clark - 2016
UNHcFREG
This open source forensics tool can be used to extract data from FLY???.DAT files found on DJI Phantom III drone internal storage. It requires Python 3 to run. Additionally this tool will also attempt to form a correlation between the input DAT file and an optionally specified DJI GO generated flight record file or set of files.
File structure, packet structure, and payload decryption was understood through reverse engineering the DatCon application
usage: python DROP.py [-h] [-o OUTPUT] [-t T] [-f] input
positional arguments:
input path to input DAT file or directory
optional arguments:
-h, --help show this help message and exit
-o OUTPUT, --output OUTPUT
path to output CSV File or directory. If none is
specified the output will be saved in the current
directory.
-t T path to input Flight Record CSV file or directory
-f, `--force force processing of file(s) if correct file header is
not found
About
Drone Parser
Resources
Readme
MIT license
Activity
Stars
0 stars
Watchers
1 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
DROP - DROne Parser
Devon Clark - 2016
UNHcFREG
This open source forensics tool can be used to extract data from FLY???.DAT files found on DJI Phantom III drone internal storage. It requires Python 3 to run. Additionally this tool will also attempt to form a correlation between the input DAT file and an optionally specified DJI GO generated flight record file or set of files.
File structure, packet structure, and payload decryption was understood through reverse engineering the DatCon application
usage: python DROP.py [-h] [-o OUTPUT] [-t T] [-f] input
positional arguments:
input path to input DAT file or directory
optional arguments:
-h, --help show this help message and exit
-o OUTPUT, --output OUTPUT
path to output CSV File or directory. If none is
specified the output will be saved in the current
directory.
-t T path to input Flight Record CSV file or directory
-f, `--force force processing of file(s) if correct file header is
not found
About
Drone Parser
Resources
Readme
MIT license
Activity
Stars
0 stars
Watchers
1 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
DROP - DROne Parser
Devon Clark - 2016
UNHcFREG
This open source forensics tool can be used to extract data from FLY???.DAT files found on DJI Phantom III drone internal storage. It requires Python 3 to run. Additionally this tool will also attempt to form a correlation between the input DAT file and an optionally specified DJI GO generated flight record file or set of files.
File structure, packet structure, and payload decryption was understood through reverse engineering the DatCon application
usage: python DROP.py [-h] [-o OUTPUT] [-t T] [-f] input
positional arguments:
input path to input DAT file or directory
optional arguments:
-h, --help show this help message and exit
-o OUTPUT, --output OUTPUT
path to output CSV File or directory. If none is
specified the output will be saved in the current
directory.
-t T path to input Flight Record CSV file or directory
-f, `--force force processing of file(s) if correct file header is
not found
About
Drone Parser
Resources
Readme
MIT license
Activity
Stars
0 stars
Watchers
1 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
DROP - DROne Parser
Devon Clark - 2016
UNHcFREG
This open source forensics tool can be used to extract data from FLY???.DAT files found on DJI Phantom III drone internal storage. It requires Python 3 to run. Additionally this tool will also attempt to form a correlation between the input DAT file and an optionally specified DJI GO generated flight record file or set of files.
File structure, packet structure, and payload decryption was understood through reverse engineering the DatCon application
usage: python DROP.py [-h] [-o OUTPUT] [-t T] [-f] input
positional arguments:
input path to input DAT file or directory
optional arguments:
-h, --help show this help message and exit
-o OUTPUT, --output OUTPUT
path to output CSV File or directory. If none is
specified the output will be saved in the current
directory.
-t T path to input Flight Record CSV file or directory
-f, `--force force processing of file(s) if correct file header is
not found
About
Drone Parser
Resources
Readme
MIT license
Activity
Stars
0 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
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('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
DROP - DROne Parser
Devon Clark - 2016
UNHcFREG
This open source forensics tool can be used to extract data from FLY???.DAT files found on DJI Phantom III drone internal storage. It requires Python 3 to run. Additionally this tool will also attempt to form a correlation between the input DAT file and an optionally specified DJI GO generated flight record file or set of files.
File structure, packet structure, and payload decryption was understood through reverse engineering the DatCon application
usage: python DROP.py [-h] [-o OUTPUT] [-t T] [-f] input
positional arguments:
input path to input DAT file or directory
optional arguments:
-h, --help show this help message and exit
-o OUTPUT, --output OUTPUT
path to output CSV File or directory. If none is
specified the output will be saved in the current
directory.
-t T path to input Flight Record CSV file or directory
-f, `--force force processing of file(s) if correct file header is
not found
About
Drone Parser
Resources
Readme
MIT license
Activity
Stars
0 stars
Watchers
1 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
DROP - DROne Parser
Devon Clark - 2016
UNHcFREG
This open source forensics tool can be used to extract data from FLY???.DAT files found on DJI Phantom III drone internal storage. It requires Python 3 to run. Additionally this tool will also attempt to form a correlation between the input DAT file and an optionally specified DJI GO generated flight record file or set of files.
File structure, packet structure, and payload decryption was understood through reverse engineering the DatCon application
usage: python DROP.py [-h] [-o OUTPUT] [-t T] [-f] input
positional arguments:
input path to input DAT file or directory
optional arguments:
-h, --help show this help message and exit
-o OUTPUT, --output OUTPUT
path to output CSV File or directory. If none is
specified the output will be saved in the current
directory.
-t T path to input Flight Record CSV file or directory
-f, `--force force processing of file(s) if correct file header is
not found
About
Drone Parser
Resources
Readme
MIT license
Activity
Stars
0 stars
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages