The attack model of Borg is that the environment of the client process
(e.g. borg create
) is trusted and the repository (server) is not. The
attacker has any and all access to the repository, including interactive
manipulation (man-in-the-middle) for remote repositories.
Furthermore the client environment is assumed to be persistent across attacks (practically this means that the security database cannot be deleted between attacks).
Under these circumstances Borg guarantees that the attacker cannot
modify the data of any archive without the client detecting the change
rename, remove or add an archive without the client detecting the change
recover plain-text data
recover definite (heuristics based on access patterns are possible) structural information such as the object graph (which archives refer to what chunks)
The attacker can always impose a denial of service per definition (he could forbid connections to the repository, or delete it entirely).
When the above attack model is extended to include multiple clients independently updating the same repository, then Borg fails to provide confidentiality (i.e. guarantees 3) and 4) do not apply any more).
Borg is fundamentally based on an object graph structure (see Internals), where the root object is called the manifest.
Borg follows the Horton principle, which states that not only the message must be authenticated, but also its meaning (often expressed through context), because every object used is referenced by a parent object through its object ID up to the manifest. The object ID in Borg is a MAC of the object’s plaintext, therefore this ensures that an attacker cannot change the context of an object without forging the MAC.
In other words, the object ID itself only authenticates the plaintext of the object and not its context or meaning. The latter is established by a different object referring to an object ID, thereby assigning a particular meaning to an object. For example, an archive item contains a list of object IDs that represent packed file metadata. On their own it’s not clear that these objects would represent what they do, but by the archive item referring to them in a particular part of its own data structure assigns this meaning.
This results in a directed acyclic graph of authentication from the manifest to the data chunks of individual files.
Authenticating the manifest
Since the manifest has a fixed ID (000…000) the aforementioned authentication does not apply to it, indeed, cannot apply to it; it is impossible to authenticate the root node of a DAG through its edges, since the root node has no incoming edges.
With the scheme as described so far an attacker could easily replace the manifest, therefore Borg includes a tertiary authentication mechanism (TAM) that is applied to the manifest since version 1.0.9 (see Pre-1.0.9 manifest spoofing vulnerability (CVE-2016-10099)).
TAM works by deriving a separate key through HKDF from the other encryption and authentication keys and calculating the HMAC of the metadata to authenticate [1]:
# RANDOM(n) returns n random bytes
salt = RANDOM(64)
ikm = id_key || enc_key || enc_hmac_key
# *context* depends on the operation, for manifest authentication it is
# the ASCII string "borg-metadata-authentication-manifest".
tam_key = HKDF-SHA-512(ikm, salt, context)
# *data* is a dict-like structure
data[hmac] = zeroes
packed = pack(data)
data[hmac] = HMAC(tam_key, packed)
packed_authenticated = pack(data)
Since an attacker cannot gain access to this key and also cannot make the client authenticate arbitrary data using this mechanism, the attacker is unable to forge the authentication.
This effectively ‘anchors’ the manifest to the key, which is controlled by the client, thereby anchoring the entire DAG, making it impossible for an attacker to add, remove or modify any part of the DAG without Borg being able to detect the tampering.
Note that when using BORG_PASSPHRASE the attacker cannot swap the entire repository against a new repository with e.g. repokey mode and no passphrase, because Borg will abort access when BORG_PASSPHRASE is incorrect.
However, interactively a user might not notice this kind of attack immediately, if she assumes that the reason for the absent passphrase prompt is a set BORG_PASSPHRASE. See issue #2169 for details.
Encryption is currently based on the Encrypt-then-MAC construction, which is generally seen as the most robust way to create an authenticated encryption scheme from encryption and message authentication primitives.
Every operation (encryption, MAC / authentication, chunk ID derivation) uses independent, random keys generated by os.urandom [2].
Borg does not support unauthenticated encryption -- only authenticated encryption schemes are supported. No unauthenticated encryption schemes will be added in the future.
Depending on the chosen mode (see borg init) different primitives are used:
The actual encryption is currently always AES-256 in CTR mode. The counter is added in plaintext, since it is needed for decryption, and is also tracked locally on the client to avoid counter reuse.
The authentication primitive is either HMAC-SHA-256 or BLAKE2b-256 in a keyed mode. HMAC-SHA-256 uses 256 bit keys, while BLAKE2b-256 uses 512 bit keys.
The latter is secure not only because BLAKE2b itself is not susceptible to length extension, but also since it truncates the hash output from 512 bits to 256 bits, which would make the construction safe even if BLAKE2b were broken regarding length extension or similar attacks.
The primitive used for authentication is always the same primitive that is used for deriving the chunk ID, but they are always used with independent keys.
Encryption:
id = AUTHENTICATOR(id_key, data)
compressed = compress(data)
iv = reserve_iv()
encrypted = AES-256-CTR(enc_key, 8-null-bytes || iv, compressed)
authenticated = type-byte || AUTHENTICATOR(enc_hmac_key, encrypted) || iv || encrypted
Decryption:
# Given: input *authenticated* data, possibly a *chunk-id* to assert
type-byte, mac, iv, encrypted = SPLIT(authenticated)
ASSERT(type-byte is correct)
ASSERT( CONSTANT-TIME-COMPARISON( mac, AUTHENTICATOR(enc_hmac_key, encrypted) ) )
decrypted = AES-256-CTR(enc_key, 8-null-bytes || iv, encrypted)
decompressed = decompress(decrypted)
ASSERT( CONSTANT-TIME-COMPARISON( chunk-id, AUTHENTICATOR(id_key, decompressed) ) )
The client needs to track which counter values have been used, since encrypting a chunk requires a starting counter value and no two chunks may have overlapping counter ranges (otherwise the bitwise XOR of the overlapping plaintexts is revealed).
The client does not directly track the counter value, because it changes often (with each encrypted chunk), instead it commits a “reservation” to the security database and the repository by taking the current counter value and adding 4 GiB / 16 bytes (the block size) to the counter. Thus the client only needs to commit a new reservation every few gigabytes of encrypted data.
This mechanism also avoids reusing counter values in case the client crashes or the connection to the repository is severed, since any reservation would have been committed to both the security database and the repository before any data is encrypted. Borg uses its standard mechanism (SaveFile) to ensure that reservations are durable (on most hardware / storage systems), therefore a crash of the client’s host would not impact tracking of reservations.
However, this design is not infallible, and requires synchronization between clients, which is handled through the repository. Therefore in a multiple-client scenario a repository can trick a client into reusing counter values by ignoring counter reservations and replaying the manifest (which will fail if the client has seen a more recent manifest or has a more recent nonce reservation). If the repository is untrusted, but a trusted synchronization channel exists between clients, the security database could be synchronized between them over said trusted channel. This is not part of Borg’s functionality.
Using the borg key migrate-to-repokey command a user can convert repositories created using Attic in “passphrase” mode to “repokey” mode. In this case the keys were directly derived from the user’s passphrase at some point using PBKDF2.
Borg does not support “passphrase” mode otherwise any more.
Borg cannot secure the key material while it is running, because the keys are needed in plain to decrypt/encrypt repository objects.
For offline storage of the encryption keys they are encrypted with a user-chosen passphrase.
A 256 bit key encryption key (KEK) is derived from the passphrase using PBKDF2-HMAC-SHA256 with a random 256 bit salt which is then used to Encrypt-and-MAC (unlike the Encrypt-then-MAC approach used otherwise) a packed representation of the keys with AES-256-CTR with a constant initialization vector of 0. A HMAC-SHA256 of the plaintext is generated using the same KEK and is stored alongside the ciphertext, which is converted to base64 in its entirety.
This base64 blob (commonly referred to as keyblob) is then stored in the key file or in the repository config (keyfile and repokey modes respectively).
This scheme, and specifically the use of a constant IV with the CTR mode, is secure because an identical passphrase will result in a different derived KEK for every key encryption due to the salt.
The use of Encrypt-and-MAC instead of Encrypt-then-MAC is seen as uncritical (but not ideal) here, since it is combined with AES-CTR mode, which is not vulnerable to padding attacks.
We do not implement cryptographic primitives ourselves, but rely on widely used libraries providing them:
AES-CTR and HMAC-SHA-256 from OpenSSL 1.0 / 1.1 are used, which is also linked into the static binaries we provide. We think this is not an additional risk, since we don’t ever use OpenSSL’s networking, TLS or X.509 code, but only their primitives implemented in libcrypto.
SHA-256 and SHA-512 from Python’s hashlib standard library module are used. Borg requires a Python built with OpenSSL support (due to PBKDF2), therefore these functions are delegated to OpenSSL by Python.
HMAC, PBKDF2 and a constant-time comparison from Python’s hmac standard
library module is used. While the HMAC implementation is written in Python,
the PBKDF2 implementation is provided by OpenSSL. The constant-time comparison
(compare_digest
) is written in C and part of Python.
BLAKE2b is either provided by the system’s libb2, an official implementation, or a bundled copy of the BLAKE2 reference implementation (written in C).
Implemented cryptographic constructions are:
Encrypt-then-MAC based on AES-256-CTR and either HMAC-SHA-256 or keyed BLAKE2b256 as described above under Encryption.
Encrypt-and-MAC based on AES-256-CTR and HMAC-SHA-256 as described above under Offline key security.
HKDF-SHA-512
Note
This section could be further expanded / detailed.
The RPC protocol is fundamentally based on msgpack’d messages exchanged over an encrypted SSH channel (the system’s SSH client is used for this by piping data from/to it).
This means that the authorization and transport security properties
are inherited from SSH and the configuration of the SSH client and the
SSH server -- Borg RPC does not contain any networking
code. Networking is done by the SSH client running in a separate
process, Borg only communicates over the standard pipes (stdout,
stderr and stdin) with this process. This also means that Borg doesn’t
have to directly use a SSH client (or SSH at all). For example,
sudo
or qrexec
could be used as an intermediary.
By using the system’s SSH client and not implementing a (cryptographic) network protocol Borg sidesteps many security issues that would normally impact distributing statically linked / standalone binaries.
The remainder of this section will focus on the security of the RPC protocol within Borg.
The assumed worst-case a server can inflict to a client is a denial of repository service.
The situation were a server can create a general DoS on the client should be avoided, but might be possible by e.g. forcing the client to allocate large amounts of memory to decode large messages (or messages that merely indicate a large amount of data follows). The RPC protocol code uses a limited msgpack Unpacker to prohibit this.
We believe that other kinds of attacks, especially critical vulnerabilities like remote code execution are inhibited by the design of the protocol:
The server cannot send requests to the client on its own accord, it only can send responses. This avoids “unexpected inversion of control” issues.
msgpack serialization does not allow embedding or referencing code that is automatically executed. Incoming messages are unpacked by the msgpack unpacker into native Python data structures (like tuples and dictionaries), which are then passed to the rest of the program.
Additional verification of the correct form of the responses could be implemented.
Remote errors are presented in two forms:
A simple plain-text stderr channel. A prefix string indicates the kind of message (e.g. WARNING, INFO, ERROR), which is used to suppress it according to the log level selected in the client.
A server can send arbitrary log messages, which may confuse a user. However, log messages are only processed when server requests are in progress, therefore the server cannot interfere / confuse with security critical dialogue like the password prompt.
Server-side exceptions passed over the main data channel. These follow the general pattern of server-sent responses and are sent instead of response data for a request.
The msgpack implementation used (msgpack-python) has a good security track record, a large test suite and no issues found by fuzzing. It is based on the msgpack-c implementation, sharing the unpacking engine and some support code. msgpack-c has a good track record as well. Some issues [3] in the past were located in code not included in msgpack-python. Borg does not use msgpack-c.
Borg uses the OpenSSL library for most cryptography (see Implementations used above). OpenSSL is bundled with static releases, thus the bundled copy is not updated with system updates.
OpenSSL is a large and complex piece of software and has had its share of vulnerabilities,
however, it is important to note that Borg links against libcrypto
not libssl
.
libcrypto is the low-level cryptography part of OpenSSL,
while libssl implements TLS and related protocols.
The latter is not used by Borg (cf. Remote RPC protocol security, Borg itself does not implement any network access) and historically contained most vulnerabilities, especially critical ones. The static binaries released by the project contain neither libssl nor the Python ssl/_ssl modules.
Combining encryption with compression can be insecure in some contexts (e.g. online protocols).
There was some discussion about this in github issue #1040 and for Borg some developers concluded this is no problem at all, some concluded this is hard and extremely slow to exploit and thus no problem in practice.
No matter what, there is always the option not to use compression if you are worried about this.
A borg repository does not hide the size of the chunks it stores (size information is needed to operate the repository).
The chunks stored are the (compressed and encrypted) output of the chunker, chunked according to the input data, the chunker’s parameters and the secret chunker seed (which all influence the chunk boundary positions).
Small files below some specific threshold (default: 512kiB) result in only one chunk (identical content / size as the original file), bigger files result in multiple chunks.
After chunking is done, compression, encryption and authentication are applied, which influence the sizes of the chunks stored into the repository.
Within our attack model, an attacker posessing a specific set of files which he assumes that the victim also posesses (and backups into the repository) could try a brute force fingerprinting attack based on the chunk sizes in the repository to prove his assumption.
Borg does not try to obfuscate order / proximity of files it discovers by recursing through the filesystem. For performance reasons, we sort directory contents in file inode order (not in file name alphabetical order), so order fingerprinting is not useful for an attacker.
But, when new files are close to each other (when looking at recursion / scanning order), the resulting chunks will be also stored close to each other in the resulting repository segment file(s).
This might leak additional information for the chunk size fingerprinting attack (see above).