42 KiB
GNU Privacy Guard (GnuPG) Made Easy Python Bindings HOWTO (English)
- Introduction
- GPGME Concepts
- GPGME Python bindings installation
- Fundamentals
- Working with keys
- Basic Functions
- Creating keys and subkeys
- Miscellaneous work-arounds
- Copyright and Licensing
- Footnotes
Introduction
| Version: | 0.0.1-alpha |
| Author: | Ben McGinnes <ben@gnupg.org> |
| Author GPG Key: | DB4724E6FA4286C92B4E55C4321E4E2373590E5D |
| Language: | Australian English, British English |
| xml:lang: | en-AU, en-GB, en |
This document provides basic instruction in how to use the GPGME Python bindings to programmatically leverage the GPGME library.
Python 2 versus Python 3
Though the GPGME Python bindings themselves provide support for both Python 2 and 3, the focus is unequivocally on Python 3 and specifically from Python 3.4 and above. As a consequence all the examples and instructions in this guide use Python 3 code.
Much of it will work with Python 2, but much of it also deals with Python 3 byte literals, particularly when reading and writing data. Developers concentrating on Python 2.7, and possibly even 2.6, will need to make the approprate modifications to support the older string and unicode types as opposted to bytes.
There are multiple reasons for concentrating on Python 3; some of which relate to the immediate integration of these bindings, some of which relate to longer term plans for both GPGME and the python bindings and some of which relate to the impending EOL period for Python 2.7. Essentially, though, there is little value in tying the bindings to a version of the language which is a dead end and the advantages offered by Python 3 over Python 2 make handling the data types with which GPGME deals considerably easier.
GPGME Concepts
A C API
Unlike many modern APIs with which programmers will be more
familiar with these days, the GPGME API is a C API. The API is
intended for use by C coders who would be able to access its
features by including the gpgme.h header file eith their own C
source code and then access its functions just as they would any
other C headers.
This is a very effective method of gaining complete access to the API and in the most efficient manner possible. It does, however, have the drawback that it cannot be directly used by other languages without some means of providing an interface to those languages. This is where the need for bindings in various languages stems.
Python bindings
The Python bindings for GPGME provide a higher level means of accessing the complete feature set of GPGME itself. It also provides a more pythonic means of calling these API functions.
The bindings are generated dynamically with SWIG and the copy of
gpgme.h generated when GPGME is compiled.
This means that a version of the Python bindings is fundamentally
tied to the exact same version of GPGME used to generate that copy
of gpgme.h.
Difference between the Python bindings and other GnuPG Python packages
There have been numerous attempts to add GnuPG support to Python over the years. Some of the most well known are listed here, along with what differentiates them.
The python-gnupg package maintained by Vinay Sajip
This is arguably the most popular means of integrating GPG with
Python. The package utilises the subprocess module to implement
wrappers for the gpg and gpg2 executables normally invoked on
the command line (gpg.exe and gpg2.exe on Windows).
The popularity of this package stemmed from its ease of use and capability in providing the most commonly required features.
Unfortunately it has been beset by a number of security issues,
most of which stemmed from using unsafe methods of accessing the
command line via the subprocess calls.
The python-gnupg package is available under the MIT license.
The gnupg package created and maintained by Isis Lovecruft
In 2015 Isis Lovecruft from the Tor Project forked and then
re-implemented the python-gnupg package as just gnupg. This new
package also relied on subprocess to call the gpg or gpg2
binaries, but did so somewhat more securely.
However the naming and version numbering selected for this package resulted in conflicts with the original python-gnupg and since its functions were called in a different manner, the release of this package also resulted in a great deal of consternation when people installed what they thought was an upgrade that subsequently broke the code relying on it.
The gnupg package is available under the GNU General Public License version 3.0 (or later).
The PyME package maintained by Martin Albrecht
This package is the origin of these bindings, though they are
somewhat different now. For details of when and how the PyME
package was folded back into GPGME itself see the Short History
document1 in this Python bindings docs directory.2
The PyME package was first released in 2002 and was also the first
attempt to implement a low level binding to GPGME. In doing so it
provided access to considerably more functionality than either the
python-gnupg or gnupg packages.
The PyME package is only available for Python 2.6 and 2.7.
Porting the PyME package to Python 3.4 in 2015 is what resulted in it being folded into the GPGME project and the current bindings are the end result of that effort.
The PyME package is available under the same dual licensing as GPGME itself: the GNU General Public License version 2.0 (or any later version) and the GNU Lesser Public License version 2.1 (or any later version).
GPGME Python bindings installation
No PyPI
Most third-party Python packages and modules are available and distributed through the Python Package Installer, known as PyPI.
Due to the nature of what these bindings are and how they work, it is infeasible to install the GPGME Python bindings in the same way.
Requirements
The GPGME Python bindings only have three requirements:
- A suitable version of Python 2 or Python 3. With Python 2 that means Python 2.7 and with Python 3 that means Python 3.4 or higher.
- SWIG.
- GPGME itself. Which also means that all of GPGME's dependencies must be installed too.
Installation
Installing the Python bindings is effectively achieved by compiling and installing GPGME itself.
Once SWIG is installed with Python and all the dependencies for
GPGME are installed you only need to confirm that the version(s) of
Python you want the bindings installed for are in your $PATH.
By default GPGME will attempt to install the bindings for the most
recent or highest version number of Python 2 and Python 3 it
detects in $PATH. It specifically checks for the python and
python3 executabled first and then checks for specific version
numbers.
For Python 2 it checks for these executables in this order:
python, python2 and python2.7.
For Python 3 it checks for these executables in this order:
python3, python3.6, python3.5 and python3.4.
Installing GPGME
See the GPGME README file for details of how to install GPGME from
source.
Fundamentals
Before we can get to the fun stuff, there are a few matters regarding GPGME's design which hold true whether you're dealing with the C code directly or these Python bindings.
No REST
The first part of which is or will be fairly blatantly obvious upon viewing the first example, but it's worth reiterating anyway. That being that this API is not a REST API. Nor indeed could it ever be one.
Most, if not all, Python programmers (and not just Python programmers) know how easy it is to work with a RESTful API. In fact they've become so popular that many other APIs attempt to emulate REST-like behaviour as much as they are able. Right down to the use of JSON formatted output to facilitate the use of their API without having to retrain developers.
This API does not do that. It would not be able to do that and also provide access to the entire C API on which it's built. It does, however, provide a very pythonic interface on top of the direct bindings and it's this pythonic layer with which this HOWTO deals with.
Context
One of the reasons which prevents this API from being RESTful is that most operations require more than one instruction to the API to perform the task. Sure, there are certain functions which can be performed simultaneously, particularly if the result known or strongly anticipated (e.g selecting and encrypting to a key known to be in the public keybox).
There are many more, however, which cannot be manipulated so readily: they must be performed in a specific sequence and the result of one operation has a direct bearing on the outcome of subsequent operations. Not merely by generating an error either.
When dealing with this type of persistant state on the web, full of both the RESTful and REST-like, it's most commonly referred to as a session. In GPGME, however, it is called a context and every operation type has one.
Working with keys
Key selection
Selecting keys to encrypt to or to sign with will be a common occurrence when working with GPGMe and the means available for doing so are quite simple.
They do depend on utilising a Context; however once the data is recorded in another variable, that Context does not need to be the same one which subsequent operations are performed.
The easiest way to select a specific key is by searching for that key's key ID or fingerprint, preferably the full fingerprint without any spaces in it. A long key ID will probably be okay, but is not advised and short key IDs are already a problem with some being generated to match specific patterns. It does not matter whether the pattern is upper or lower case.
So this is the best method:
import gpg
k = gpg.Context().keylist(pattern="258E88DCBD3CD44D8E7AB43F6ECB6AF0DEADBEEF")
keys = list(k)This is passable and very likely to be common:
import gpg
k = gpg.Context().keylist(pattern="0x6ECB6AF0DEADBEEF")
keys = list(k)And this is a really bad idea:
import gpg
k = gpg.Context().keylist(pattern="0xDEADBEEF")
keys = list(k)Alternatively it may be that the intention is to create a list of keys which all match a particular search string. For instance all the addresses at a particular domain, like this:
import gpg
ncsc = gpg.Context().keylist(pattern="ncsc.mil")
nsa = list(ncsc)Counting keys
Counting the number of keys in your public keybox (pubring.kbx),
the format which has superceded the old keyring format
(pubring.gpg and secring.gpg), or the number of secret keys is
a very simple task.
import gpg
c = gpg.Context()
seckeys = c.keylist(pattern=None, secret=True)
pubkeys = c.keylist(pattern=None, secret=False)
seclist = list(seckeys)
secnum = len(seclist)
publist = list(pubkeys)
pubnum = len(publist)
print("""
Number of secret keys: {0}
Number of public keys: {1}
""".format(secnum, pubnum)Get key
An alternative method of getting a single key via its fingerprint
is available directly within a Context with Context().get_key.
This is the preferred method of selecting a key in order to modify
it, sign or certify it and for obtaining relevant data about a
single key as a part of other functions; when verifying a signature
made by that key, for instance.
By default this method will select public keys, but it can select secret keys as well.
This first example demonstrates selecting the current key of Werner Koch, which is due to expire at the end of 2018:
import gpg
fingerprint = "80615870F5BAD690333686D0F2AD85AC1E42B367"
key = gpg.Context().get_key(fingerprint)
Whereas this example demonstrates selecting the author's current
key with the secret key word argument set to True:
import gpg
fingerprint = "DB4724E6FA4286C92B4E55C4321E4E2373590E5D"
key = gpg.Context().get_key(fingerprint, secret=True)It is, of course, quite possible to select expired, disabled and revoked keys with this function, but only to effectively display information about those keys.
It is also possible to use both unicode or string literals and byte literals with the fingerprint when getting a key in this way.
Basic Functions
The most frequently called features of any cryptographic library will be the most fundamental tasks for enxryption software. In this section we will look at how to programmatically encrypt data, decrypt it, sign it and verify signatures.
Encryption
Encrypting is very straight forward. In the first example below
the message, text, is encrypted to a single recipient's key. In
the second example the message will be encrypted to multiple
recipients.
Encrypting to one key
The text is then encapsulated in a GPGME Data object as plain and
the cipher object is created with another Data object. Then we
create the Context as c and set it to use the ASCII armoured
OpenPGP format. In later examples there will be alternative
methods of setting the OpenPGP output to be ASCII armoured.
Next we prepare a keylist object in our Context and follow it with
specifying the recipients as r. Note that the configuration in
one's gpg.conf file is honoured, so if you have the options set
to encrypt to one key or to a default key, that will be included
with this operation.
This is followed by a quick check to be sure that the recipient is actually selected and that the key is available. Assuming it is, the encryption can proceed, but if not a message will print stating the key was not found.
The encryption operation is invoked within the Context with the
c.op_encrypt function, loading the recipien (r), the message
(plain) and the cipher. The cipher.seek uses os.SEEK_SET
to set the data to the correct byte format for GPGME to use it.
At this point we no longer need the plaintext material, so we
delete both the text and the plain objects. Then we write the
encrypted data out to a file, secret_plans.txt.asc.
import gpg
import os
rkey = "0x12345678DEADBEEF"
text = """
Some plain text to test with. Obtained from any input source Python can read.
It makes no difference whether it is string or bytes, but the bindings always
produce byte output data. Which is useful to know when writing out either the
encrypted or decrypted results.
"""
plain = gpg.core.Data(text)
cipher = gpg.core.Data()
c = gpg.core.Context()
c.set_armor(1)
c.op_keylist_start(rkey, 0)
r = c.op_keylist_next()
if r == None:
print("""The key for user "{0}" was not found""".format(rkey))
else:
try:
c.op_encrypt([r], 1, plain, cipher)
cipher.seek(0, os.SEEK_SET)
del(text)
del(plain)
afile = open("secret_plans.txt.asc", "wb")
afile.write(cipher.read())
afile.close()
except gpg.errors.GPGMEError as ex:
print(ex.getstring())Encrypting to multiple keys
Encrypting to multiple keys, in addition to a default key or a key
configured to always encrypt to, is a little different and uses a
slightly different call to the op_encrypt call demonstrated in the
previous section.
The following example encrypts a message (text) to everyone with
an email address on the gnupg.org domain,3 but does not encrypt
to a default key or other key which is configured to normally
encrypt to.
import gpg
text = b"""Oh look, another test message.
The same rules apply as with the previous example and more likely
than not, the message will actually be drawn from reading the
contents of a file or, maybe, from entering data at an input()
prompt.
Since the text in this case must be bytes, it is most likely that
the input form will be a separate file which is opened with "rb"
as this is the simplest method of obtaining the correct data
format.
"""
c = gpg.Context(armor=True)
rpattern = list(c.keylist(pattern="@gnupg.org", secret=False))
logrus = []
for i in range(len(rpattern)):
if rpattern[i].can_encrypt == 1:
logrus.append(rpattern[i])
cipher = c.encrypt(text, recipients=logrus, sign=False, always_trust=True)
afile = open("secret_plans.txt.asc", "wb")
afile.write(cipher[0])
afile.close()
All it would take to change the above example to sign the message
and also encrypt the message to any configured default keys would
be to change the c.encrypt line to this:
cipher = c.encrypt(text, recipients=logrus, always_trust=True,
add_encrypt_to=True)
The only keyword arguments requiring modification are those for
which the default values are changing. The default value of
sign is True, the default of always_trust is False, the
default of add_encrypt_to is False.
If always_trust is not set to True and any of the recipient
keys are not trusted (e.g. not signed or locally signed) then the
encryption will raise an error. It is possible to mitigate this
somewhat with something more like this:
import gpg
afile = open("secret_plans.txt", "rb")
text = afile.read()
afile.close()
c = gpg.Context(armor=True)
rpattern = list(c.keylist(pattern="@gnupg.org", secret=False))
logrus = []
for i in range(len(rpattern)):
if rpattern[i].can_encrypt == 1:
logrus.append(rpattern[i])
try:
cipher = c.encrypt(text, recipients=logrus, add_encrypt_to=True)
except gpg.errors.InvalidRecipients as e:
for i in range(len(e.recipients)):
for n in range(len(logrus)):
if logrus[n].fpr == e.recipients[i].fpr:
logrus.remove(logrus[n])
else:
pass
try:
cipher = c.encrypt(text, recipients=logrus, add_encrypt_to=True)
except:
pass
afile = open("secret_plans.txt.asc", "wb")
afile.write(cipher[0])
afile.close()This will attempt to encrypt to all the keys searched for, then remove invalid recipients if it fails and try again.
Encrypting to one key using the second method
This example re-creates the first encryption example except it
uses the same encrypt method used in the subsequent examples
instead of the op_encrypt method. This means that, unlike the
op_encrypt method, it must use byte literal input data.
import gpg
rkey = "0x12345678DEADBEEF"
text = b"""Some text to test with.
Since the text in this case must be bytes, it is most likely that
the input form will be a separate file which is opened with "rb"
as this is the simplest method of obtaining the correct data
format.
"""
c = gpg.Context(armor=True)
rpattern = list(c.keylist(pattern=rkey, secret=False))
logrus = []
for i in range(len(rpattern)):
if rpattern[i].can_encrypt == 1:
logrus.append(rpattern[i])
cipher = c.encrypt(text, recipients=logrus, sign=False, always_trust=True)
afile = open("secret_plans.txt.asc", "wb")
afile.write(cipher[0])
afile.close()With one or two exceptions, this method will probably prove to be easier to implement than the first method and thus it is the recommended encryption method. Though it is even more likely to be used like this:
import gpg
rkey = "0x12345678DEADBEEF"
afile = open("secret_plans.txt", "rb")
text = afile.read()
afile.close()
c = gpg.Context(armor=True)
rpattern = list(c.keylist(pattern=rkey, secret=False))
logrus = []
for i in range(len(rpattern)):
if rpattern[i].can_encrypt == 1:
logrus.append(rpattern[i])
cipher = c.encrypt(text, recipients=logrus, sign=False, always_trust=True)
afile = open("secret_plans.txt.asc", "wb")
afile.write(cipher[0])
afile.close()Decryption
Decrypting something encrypted to a key in one's secret keyring is fairly straight forward.
In this example code, however, preconfiguring either
gpg.Context() or gpg.core.Context() as c is unnecessary
because there is no need to modify the Context prior to conducting
the decryption and since the Context is only used once, setting it
to c simply adds lines for no gain.
import os.path
import gpg
if os.path.exists("/path/to/secret_plans.txt.asc") is True:
ciphertext = "/path/to/secret_plans.txt.asc"
elif os.path.exists("/path/to/secret_plans.txt.gpg") is True:
ciphertext = "/path/to/secret_plans.txt.gpg"
else:
ciphertext = None
if ciphertext is not None:
afile = open(ciphertext, "rb")
plaintext = gpg.Context().decrypt(afile)
afile.close()
newfile = open("/path/to/secret_plans.txt", "wb")
newfile.write(plaintext[0])
newfile.close()
print(plaintext[0])
plaintext[1]
plaintext[2]
del(plaintext)
else:
pass
The data available in plaintext in this example is the decrypted
content as a byte object in plaintext[0], the recipient key IDs
and algorithms in plaintext[1] and the results of verifying any
signatures of the data in plaintext[0].
Signing text and files
The following sections demonstrate how to specify
Signing key selection
By default GPGME and the Python bindings will use the default key configured for the user invoking the GPGME API. If there is no default key specified and there is more than one secret key available it may be necessary to specify the key or keys with which to sign messages and files.
import gpg
logrus = input("Enter the email address or string to match signing keys to: ")
hancock = gpg.Context().keylist(pattern=logrus, secret=True)
sig_src = list(hancock)
The signing examples in the following sections include the
explicitly designated signers parameter in two of the five
examples; once where the resulting signature would be ASCII
armoured and once where it would not be armoured.
While it would be possible to enter a key ID or fingerprint here to match a specific key, it is not possible to enter two fingerprints and match two keys since the patten expects a string, bytes or None and not a list. A string with two fingerprints won't match any single key.
Normal or default signing messages or files
The normal or default signing process is essentially the same as is most often invoked when also encrypting a message or file. So when the encryption component is not utilised, the result is to produce an encoded and signed output which may or may not be ASCII armoured and which may or may not also be compressed.
By default compression will be used unless GnuPG detects that the
plaintext is already compressed. ASCII armouring will be
determined according to the value of gpg.Context().armor.
The compression algorithm is selected in much the same way as the symmetric encryption algorithm or the hash digest algorithm is when multiple keys are involved; from the preferences saved into the key itself or by comparison with the preferences with all other keys involved.
import gpg
text0 = """Declaration of ... something.
"""
text = text0.encode("utf-8")
c = gpg.Context(armor=True, signers=sig_src)
signed = c.sign(text, mode=0)
afile = open("/path/to/statement.txt.asc", "w")
for line in signed[0]:
afile.write("{0}\n".format(line.decode("utf-8")))
afile.close()Though everything in this example is accurate, it is more likely that reading the input data from another file and writing the result to a new file will be perfprmed more like the way it is done in the next example. Even if the output format is ASCII armoured.
import gpg
tfile = open("/path/to/statement.txt", "rb")
text = tfile.read()
tfile.close()
c = gpg.Context()
signed = c.sign(text, mode=0)
afile = open("/path/to/statement.txt.sig", "wb")
afile.write(signed[0])
afile.close()Detached signing messages and files
Detached signatures will often be needed in programmatic uses of GPGME, either for signing files (e.g. tarballs of code releases) or as a component of message signing (e.g. PGP/MIME encoded email).
import gpg
text0 = """Declaration of ... something.
"""
text = text0.encode("utf-8")
c = gpg.Context(armor=True)
signed = c.sign(text, mode=1)
afile = open("/path/to/statement.txt.asc", "w")
for line in signed[0].splitlines()L
afile.write("{0}\n".format(line.decode("utf-8")))
afile.close()As with normal signatures, detached signatures are best handled as byte literals, even when the output is ASCII armoured.
import gpg
tfile = open("/path/to/statement.txt", "rb")
text = tfile.read()
tfile.close()
c = gpg.Context(signers=sig_src)
signed = c.sign(text, mode=1)
afile = open("/path/to/statement.txt.sig", "wb")
afile.write(signed[0])
afile.close()Clearsigning messages or text
Though PGP/in-line messages are no longer encouraged in favour of PGP/MIME, there is still sometimes value in utilising in-line signatures. This is where clear-signed messages or text is of value.
import gpg
text0 = """Declaration of ... something.
"""
text = text0.encode("utf-8")
c = gpg.Context()
signed = c.sign(text, mode=2)
afile = open("/path/to/statement.txt.asc", "w")
for line in signed[0].splitlines():
afile.write("{0}\n".format(line.decode("utf-8")))
afile.close()In spite of the appearance of a clear-signed message, the data handled by GPGME in signing it must still be byte literals.
import gpg
tfile = open("/path/to/statement.txt", "rb")
text = tfile.read()
tfile.close()
c = gpg.Context()
signed = c.sign(text, mode=2)
afile = open("/path/to/statement.txt.asc", "wb")
afile.write(signed[0])
afile.close()Signature verification
Essentially there are two principal methods of verification of a signature. The first of these is for use with the normal or default signing method and for clear-signed messages. The second is for use with files and data with detached signatures.
The following example is intended for use with the default signing method where the file was not ASCII armoured:
import gpg
import time
filename = "statement.txt"
gpg_file = "statement.txt.gpg"
c = gpg.Context()
try:
verified = c.verify(open(gpg_file))
except gpg.errors.BadSignatures as e:
verified = None
print(e)
if verified is not None:
for i in range(len(verified[1].signatures)):
sign = verified[1].signatures[i]
print("""Good signature from:
{0}
with key {1}
made at {2}
""".format(c.get_key(sign.fpr).uids[0].uid,
sign.fpr, time.ctime(sign.timestamp)))
else:
pass(e)Whereas this next example, which is almost identical would work with normal ASCII armoured files and with clear-signed files:
import gpg
import time
filename = "statement.txt"
asc_file = "statement.txt.asc"
c = gpg.Context()
try:
verified = c.verify(open(asc_file))
except gpg.errors.BadSignatures as e:
verified = None
print(e)
if verified is not None:
for i in range(len(verified[1].signatures)):
sign = verified[1].signatures[i]
print("""Good signature from:
{0}
with key {1}
made at {2}
""".format(c.get_key(sign.fpr).uids[0].uid,
sign.fpr, time.ctime(sign.timestamp)))
else:
pass
In both of the previous examples it is also possible to compare the
original data that was signed against the signed data in
verified[0] to see if it matches with something like this:
afile = open(filename, "rb")
text = afile.read()
afile.close()
if text == verified[0]:
print("Good signature.")
else:
pass
The following two examples, however, deal with detached signatures.
With his method of verification the data that was signed does not
get returned since it is already being explicitly referenced in the
first argument of c.verify. So verified[0] is None and only
the data in verified[1] is available.
import gpg
import time
filename = "statement.txt"
sig_file = "statement.txt.sig"
c = gpg.Context()
try:
verified = c.verify(open(filename), open(sig_file))
except gpg.errors.BadSignatures as e:
verified = None
print(e)
if verified is not None:
for i in range(len(verified[1].signatures)):
sign = verified[1].signatures[i]
print("""Good signature from:
{0}
with key {1}
made at {2}
""".format(c.get_key(sign.fpr).uids[0].uid,
sign.fpr, time.ctime(sign.timestamp)))
else:
pass import gpg
import time
filename = "statement.txt"
asc_file = "statement.txt.asc"
c = gpg.Context()
try:
verified = c.verify(open(filename), open(asc_file))
except gpg.errors.BadSignatures as e:
verified = None
print(e)
if verified is not None:
for i in range(len(verified[1].signatures)):
sign = verified[1].signatures[i]
print("""Good signature from:
{0}
with key {1}
made at {2}
""".format(c.get_key(sign.fpr).uids[0].uid,
sign.fpr, time.ctime(sign.timestamp)))
else:
passCreating keys and subkeys
The one thing, aside from GnuPG itself, that GPGME depends on, of course, is the keys themselves. So it is necessary to be able to generate them and modify them by adding subkeys, revoking or disabling them, sometimes deleting them and doing the same for user IDs.
In the following examples a key will be created for the world's
greatest secret agent, Danger Mouse. Since Danger Mouse is a secret
agent he needs to be able to protect information to SECRET level
clearance, so his keys will be 3072-bit keys.
The pre-configured gpg.conf file which sets cipher, digest and
other preferences contains the following configuration parameters:
expert
allow-freeform-uid
allow-secret-key-import
trust-model tofu+pgp
tofu-default-policy unknown
# no-auto-check-trustdb
enable-large-rsa
enable-dsa2
# no-emit-version
# no-comments
# cert-digest-algo SHA256
cert-digest-algo SHA512
default-preference-list TWOFISH CAMELLIA256 AES256 CAMELLIA192 AES192 CAMELLIA128 AES BLOWFISH IDEA CAST5 3DES SHA512 SHA384 SHA256 SHA224 RIPEMD160 SHA1 ZLIB BZIP2 ZIP Uncompressed
personal-cipher-preferences TWOFISH CAMELLIA256 AES256 CAMELLIA192 AES192 CAMELLIA128 AES BLOWFISH IDEA CAST5 3DES
personal-digest-preferences SHA512 SHA384 SHA256 SHA224 RIPEMD160 SHA1
personal-compress-preferences ZLIB BZIP2 ZIP UncompressedPrimary key
Generating a primary key uses the create_key method in a Context.
It contains multiple arguments and keyword arguments, including:
userid, algorithm, expires_in, expires, sign, encrypt,
certify, authenticate, passphrase and force. The defaults
for all of those except userid, algorithm, expires_in,
expires and passphrase is False. The defaults for
algorithm and passphrase is None. The default for
expires_in is 0. The default for expires is True. There
is no default for userid.
If passphrase is left as None then the key will not be
generated with a passphrase, if passphrase is set to a string
then that will be the passphrase and if passphrase is set to
True then gpg-agent will launch pinentry to prompt for a
passphrase. For the sake of convenience, these examples will keep
passphrase set to None.
import gpg
c = gpg.Context()
c.home_dir = "/tmp/dmgpg"
userid = "Danger Mouse <dm@secret.example.net>"
dmkey = c.create_key(userid, algorithm = "rsa3072", expires_in = 31536000,
sign = True, certify = True)
One thing to note here is the use of setting the c.home_dir
parameter. This enables generating the key or keys in a different
location. In this case to keep the new key data created for this
example in a separate location rather than adding it to existing
and active key store data.
The successful generation of the key can be confirmed via the
returned GenkeyResult object, which includes the following data:
print("""
Fingerprint: {0}
Primary Key: {1}
Public Key: {2}
Secret Key: {3}
Sub Key: {4}
User IDs: {5}
""".format(dmkey.fpr, dmkey.primary, dmkey.pubkey, dmkey.seckey, dmkey.sub,
dmkey.uid))Alternatively the information can be confirmed using the command line program:
bash-4.4$ gpg --homedir /tmp/dmgpg -K
/tmp/dmgpg/pubring.kbx
----------------------
sec rsa3072 2018-03-15 [SC] [expires: 2019-03-15]
177B7C25DB99745EE2EE13ED026D2F19E99E63AA
uid [ultimate] Danger Mouse <dm@secret.example.net>
bash-4.4$
As with generating keys manually, to preconfigure expanded
preferences for the cipher, digest and compression algorithms, the
gpg.conf file must contain those details in the home directory in
which the new key is being generated. I used a cut down version of
my own gpg.conf file in order to be able to generate this:
bash-4.4$ gpg --homedir /tmp/dmgpg --edit-key 177B7C25DB99745EE2EE13ED026D2F19E99E63AA showpref quit
Secret key is available.
sec rsa3072/026D2F19E99E63AA
created: 2018-03-15 expires: 2019-03-15 usage: SC
trust: ultimate validity: ultimate
[ultimate] (1). Danger Mouse <dm@secret.example.net>
[ultimate] (1). Danger Mouse <dm@secret.example.net>
Cipher: TWOFISH, CAMELLIA256, AES256, CAMELLIA192, AES192, CAMELLIA128, AES, BLOWFISH, IDEA, CAST5, 3DES
Digest: SHA512, SHA384, SHA256, SHA224, RIPEMD160, SHA1
Compression: ZLIB, BZIP2, ZIP, Uncompressed
Features: MDC, Keyserver no-modify
bash-4.4$Subkeys
Adding subkeys to a primary key is fairly similar to creating the
primary key with the create_subkey method. Most of the arguments
are the same, but not quite all. Instead of the userid argument
there is now a key argument for selecting which primary key to
add the subkey to.
In the following example an encryption subkey will be added to the primary key. Since Danger Mouse is a security conscious secret agent, this subkey will only be valid for about six months, half the length of the primary key.
import gpg
c = gpg.Context()
c.home_dir = "/tmp/dmgpg"
key = c.get_key(dmkey.fpr, secret = True)
dmsub = c.create_subkey(key, algorithm = "rsa3072", expires_in = 15768000,
encrypt = True)As with the primary key, the results here can be checked with:
print("""
Fingerprint: {0}
Primary Key: {1}
Public Key: {2}
Secret Key: {3}
Sub Key: {4}
User IDs: {5}
""".format(dmsub.fpr, dmsub.primary, dmsub.pubkey, dmsub.seckey, dmsub.sub,
dmsub.uid))As well as on the command line with:
bash-4.4$ gpg --homedir /tmp/dmgpg -K
/tmp/dmgpg/pubring.kbx
----------------------
sec rsa3072 2018-03-15 [SC] [expires: 2019-03-15]
177B7C25DB99745EE2EE13ED026D2F19E99E63AA
uid [ultimate] Danger Mouse <dm@secret.example.net>
ssb rsa3072 2018-03-15 [E] [expires: 2018-09-13]
bash-4.4$User IDs
Key preferences
Key certification
Miscellaneous work-arounds
Group lines
There is not yet an easy way to access groups configured in the gpg.conf file from within GPGME. As a consequence these central groupings of keys cannot be shared amongst multiple programs, such as MUAs readily.
The following code, however, provides a work-around for obtaining this information in Python.
import subprocess
lines = subprocess.getoutput("gpgconf --list-options gpg").splitlines()
for i in range(len(lines)):
if lines[i].startswith("group") is True:
line = lines[i]
else:
pass
groups = line.split(":")[-1].replace('"', '').split(',')
group_lines = groups
for i in range(len(group_lines)):
group_lines[i] = group_lines[i].split("=")
group_lists = group_lines
for i in range(len(group_lists)):
group_lists[i][1] = group_lists[i][1].split()
The result of that code is that group_lines is a list of lists
where group_lines[i][0] is the name of the group and
group_lines[i][1] is the key IDs of the group as a string.
The group_lists result is very similar in that it is a list of
lists. The first part, group_lists[i][0] matches
group_lines[i][0] as the name of the group, but
group_lists[i][1] is the key IDs of the group as a string.
Copyright and Licensing
Copyright (C) The GnuPG Project, 2018
Copyright © The GnuPG Project, 2018.
License GPL compatible
This file is free software; as a special exception the author gives unlimited permission to copy and/or distribute it, with or without modifications, as long as this notice is preserved.
This file is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY, to the extent permitted by law; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
Footnotes
Short_History.org and/or Short_History.html.
The lang/python/docs/ directory in the GPGME source.
You probably don't really want to do this. Searching the keyservers for "gnupg.org" produces over 400 results, the majority of which aren't actually at the gnupg.org domain, but just included a comment regarding the project in their key somewhere.