MOD: updated readme to rst format
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# project excludes
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tests/
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var/
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# Byte-compiled / optimized / DLL files
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__pycache__/
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*.py[cod]
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@ -16,7 +20,6 @@ lib/
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lib64/
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parts/
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sdist/
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var/
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*.egg-info/
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.installed.cfg
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*.egg
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==============
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DB Fingerprint
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==============
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-------------
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INTRO
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-------------
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::
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[D]ata[B]ase [F]inger[P]rint
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dbfp is a tool that will scan a sqlite database and generate a fingerprint.
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The fingerprint will uniquely identify the database.
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The fingerprint consists of the database schema, the sql table create statements,
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md5 calculations, and file meta-data.
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The fingerprint is stored to disk in JSON format.
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The fingerprint can be used to identify unknown databases from random paths or recovered from deleted space.
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The fingerprint can be used for historical comparisons to see what has changed in a new version of an application.
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-------------
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FEATURES
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-------------
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* Generate a fingerprint in JSON format.
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* Compare a sqlite database with a fingerprint.
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* Rip all apps from an Android phone and create fingerprints for all SQLite databases
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* Lightning fast fingerprint comparison
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- creates an index of fingerprints
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- query the index for quick fingerprint comparison
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USAGE
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-----
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::
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Create fingerprings from given path
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find <db_files_path> -exec python dbfp.py -db {} \;
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Attempt to fingerprint all files with *.db
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find . -type f -name "*.db" -exec python dbfp.py -db {} \;
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Attempt to fingerprint all files, recursively, from this path (no error if file not database)
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find . -type f -exec python dbfp.py -db {} \;
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***** ***** ***** *****
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DB Fingerprint
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***** ***** ***** *****
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Create fingerprint:
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dbfp.py -db <database_file>
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Create fingerprint index:
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dbfp.py -fd <fingerprint_dir> -idx
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Add fingerprint to index:
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dbfp.py -fp <fingerprint_file> -idx (-db <database_file> | -fp <fingerprint_file>)
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Compare fingerprint to a database file:
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dbfp.py -fp <fingerprint_file> -db <database_file>
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Lookup fingerprint from index:
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dbfp.py -fd <fingerprint_dir> -fp <fingerprint_file>)
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Lookup database from index:
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dbfp.py -fd <fingerprint_dir> -db <database_file>
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Lookup MD5 hash from index:
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dbfp.py -fd <fingerprint_dir> -md5 <md5_hash_string>
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Android App pull and fingerprint:
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dbfp.py -android_pull
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***** ***** ***** *****
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usage: dbfp.py [-h] [-db DATABASE] [-fd FPDIR] [-fp FINGERPRINT]
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[-ad ANDROID_DIR] [-dd DATA_DIR] [-an APP_NAME]
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[-av APP_VERSION] [-n NOTES] [-idx] [-md5 MD5] [-android_pull]
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[-v] [-vv] [-l]
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Fingerprint a sqlite database based on its schema
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optional arguments:
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-h, --help show this help message and exit
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-db DATABASE, --database DATABASE
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path to file to be fingerprinted
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-fd FPDIR, --fpdir FPDIR
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path to directory of fingerprint files, compare each
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file
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-fp FINGERPRINT, --fingerprint FINGERPRINT
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fingerprint file to use in comparison
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-ad ANDROID_DIR, --android_dir ANDROID_DIR
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path to a directory with android folder structure
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sqlite files
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-dd DATA_DIR, --data_dir DATA_DIR
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path to a directory to search for sqlite files
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-an APP_NAME, --app_name APP_NAME
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-av APP_VERSION, --app_version APP_VERSION
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-n NOTES, --notes NOTES
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-idx add a fingerprint to the index
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-md5 MD5 md5 hash to query the index`
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-android_pull automated pull of applications from a physical android
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phone
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-v, --verbose will set logging level to INFO
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-vv, --vverbose will set logging level to DEBUG
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-l, --logging will supercede the -v option and send all logging to a
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file, logging.DEBUG
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108
docs/README
108
docs/README
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@ -1,108 +0,0 @@
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==================
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DB Fingerprint
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==================
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-------------
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INTRO
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-------------
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[D]ata[B]ase [F]inger[P]rint
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dbfp is a tool that will scan a sqlite database and generate a fingerprint.
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The fingerprint will uniquely identify the database.
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The fingerprint consists of the database schema, the sql table create statements,
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md5 calculations, and file meta-data.
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The fingerprint is stored to disk in JSON format.
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The fingerprint can be used to identify unknown databases from random paths or recovered from deleted space.
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The fingerprint can be used for historical comparisons to see what has changed in a new version of an application.
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-------------
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FEATURES
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-------------
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1. Generate a fingerprint in JSON format.
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2. Compare a sqlite database with a fingerprint.
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3. Rip all apps from an Android phone and create fingerprints for all SQLite databases
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4. Lightning fast fingerprint comparison
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a. creates an index of fingerprints
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b. query the index for quick fingerprint comparison
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-------------
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USAGE
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-------------
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Create fingerprings from given path
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find <db_files_path> -exec python dbfp.py -db {} \;
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Attempt to fingerprint all files with *.db
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find . -type f -name "*.db" -exec python dbfp.py -db {} \;
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Attempt to fingerprint all files, recursively, from this path (no error if file not database)
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find . -type f -exec python dbfp.py -db {} \;
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***** ***** ***** *****
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DB Fingerprint
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***** ***** ***** *****
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Create fingerprint:
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dbfp.py -db <database_file>
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Create fingerprint index:
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dbfp.py -fd <fingerprint_dir> -idx
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Add fingerprint to index:
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dbfp.py -fp <fingerprint_file> -idx (-db <database_file> | -fp <fingerprint_file>)
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Compare fingerprint to a database file:
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dbfp.py -fp <fingerprint_file> -db <database_file>
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Lookup fingerprint from index:
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dbfp.py -fd <fingerprint_dir> -fp <fingerprint_file>)
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Lookup database from index:
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dbfp.py -fd <fingerprint_dir> -db <database_file>
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Lookup MD5 hash from index:
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dbfp.py -fd <fingerprint_dir> -md5 <md5_hash_string>
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Android App pull and fingerprint:
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dbfp.py -android_pull
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***** ***** ***** *****
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usage: dbfp.py [-h] [-db DATABASE] [-fd FPDIR] [-fp FINGERPRINT]
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[-ad ANDROID_DIR] [-dd DATA_DIR] [-an APP_NAME]
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[-av APP_VERSION] [-n NOTES] [-idx] [-md5 MD5] [-android_pull]
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[-v] [-vv] [-l]
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Fingerprint a sqlite database based on its schema
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optional arguments:
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-h, --help show this help message and exit
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-db DATABASE, --database DATABASE
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path to file to be fingerprinted
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-fd FPDIR, --fpdir FPDIR
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path to directory of fingerprint files, compare each
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file
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-fp FINGERPRINT, --fingerprint FINGERPRINT
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fingerprint file to use in comparison
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-ad ANDROID_DIR, --android_dir ANDROID_DIR
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path to a directory with android folder structure
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sqlite files
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-dd DATA_DIR, --data_dir DATA_DIR
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path to a directory to search for sqlite files
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-an APP_NAME, --app_name APP_NAME
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-av APP_VERSION, --app_version APP_VERSION
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-n NOTES, --notes NOTES
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-idx add a fingerprint to the index
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-md5 MD5 md5 hash to query the index`
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-android_pull automated pull of applications from a physical android
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phone
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-v, --verbose will set logging level to INFO
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-vv, --vverbose will set logging level to DEBUG
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-l, --logging will supercede the -v option and send all logging to a
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file, logging.DEBUG
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