The previous code required explicit support for a particular key type,
of which Ed25519 and Ed448 were missing. While a fallback to `any` would
have been possible (this is already the case for unencrypted keys in the
`private` and `pkcs8` directories, which are not parsed by swanctl), it's
not necessary (as long as swanctl and the daemon are from the same release)
and does not require the daemon to detect the key type again.
Fixes#3586.
Commit 27756b081c (revocation: Check that nonce in OCSP response matches)
introduced strict nonce validation to prevent replay attacks with OCSP
responses having a longer lifetime. However, many commercial CAs (such as
Digicert) do not support nonces in responses, as they reuse once-issued OCSP
responses for the OCSP lifetime. This can be problematic for replay attack
scenarios, but is nothing we can fix at our end.
With the mentioned commit, such OCSP responses get completely unusable,
requiring the fallback to CRL based revocation. CRLs don't provide any
replay protection either, so there is nothing gained security-wise, but may
require a download of several megabytes CRL data.
To make use of replay protection where available, but fix OCSP verification
where it is not, do nonce verification only if the response actually contains
a nonce. To be safe against replay attacks, one has to fix the OCSP responder
or use a different CA, but this is not something we can enforce.
Fixes#3557.
The x509 plugin accepted CRL signers since forever, to be precise, since
dffb176f2b ("CRLSign keyUsage or CA basicConstraint are sufficient
for CRL validation")).
References #3529.
A new global option enables sending this vendor ID to prevent Cisco
devices from narrowing the initiator's local traffic selector to the
requested virtual IP, so e.g. 0.0.0.0/0 can be used instead.
This has been tested with a "tunnel mode ipsec ipv4" Cisco template but
should also work for GRE encapsulation.
Closesstrongswan/strongswan#180.
While `pos` was moved to the end, `len` was not adjusted (i.e. set to 0)
so later calls could write beyond the buffer. However, the last port
written might have been incomplete, so instead we just reset the string.
If it takes a while to start one of the threads, another thread might already
have passed the usleep() call previously used and re-enabled cancelability
so that the loop that checked for it would never terminate.
This way we only have one reference for each CA certificate, whether it
is loaded in an authority section, a connection or via load-certs() command.
It also avoids enumerating CA certificates multiple times if they are
loaded in different ways.
With the previous approach, CA certificates that were not re-loaded via
load-cert() (e.g. from tokens or via absolute paths) would not be available
anymore after the clear-creds() command was used. This avoids this
issue, but can cause duplicate CA certificates to get stored and enumerated,
so there might be a scaling factor.
This reduces the clustering problem (primary clustering) but is not
completely free of it (secondary clustering) it still reduces the maximum
and average probing lengths.
With the previous approach we'd require at least an additional pointer
per item to store them in a list (15-18% increase in the overhead per
item). Instead we switch from handling collisions with overflow lists to
an open addressing scheme and store the actual table as variable-sized
indices pointing into an array of all inserted items in their original
order.
This can reduce the memory overhead even compared to the previous
implementation (especially for smaller tables), but because the array for
items is preallocated whenever the table is resized, it can be worse for
certain numbers of items. However, avoiding all the allocations required
by the previous design is actually a big advantage.
Depending on the usage pattern, the performance can improve quite a bit (in
particular when inserting many items). The raw lookup performance is a bit
slower as probing lengths increase with open addressing, but there are some
caching benefits due to the compact storage. So for general usage the
performance should be better. For instance, one test I did was counting the
occurrences of words in a list of 1'000'000 randomly selected words from a
dictionary of ~58'000 words (i.e. using a counter stored under each word as
key). The new implementation was ~8% faster on average while requiring
10% less memory.
Since we can't remove items from the array (would change the indices of all
items that follow it) we just mark them as removed and remove them once the
hash table is resized/rehashed (the cells in the hash table for these may
be reused). Due to this the latter may also happen if the number of stored
items does not increase e.g. after a series of remove/put operations (each
insertion requires storage in the array, no matter if items were removed).
So if the capacity is exhausted, the table is resized/rehashed (after lots
of removals the size may even be reduced) and all items marked as removed
are simply skipped.
Compared to the previous implementation the load factor/capacity is
lowered to reduce chances of collisions and to avoid primary clustering to
some degree. However, the latter in particular, but the open addressing
scheme in general, make this implementation completely unsuited for the
get_match() functionality (purposefully hashing to the same value and,
therefore, increasing the probing length and clustering). And keeping the
keys optionally sorted would complicate the code significantly. So we just
keep the existing hashlist_t implementation without adding code to maintain
the overall insertion order (we could add that feature optionally later, but
with the mentioned overhead for one or two pointers).
The maximum size is currently not changed. With the new implementation
this translates to a hard limit for the maximum number of items that can be
held in the table (=CAPACITY(MAX_SIZE)). Since this equals 715'827'882
items with the current settings, this shouldn't be a problem in practice,
the table alone would require 20 GiB in memory for that many items. The
hashlist_t implementation doesn't have that limitation due to the overflow
lists (it can store beyond it's capacity) but it itself would require over
29 GiB of memory to hold that many items.
The main intention here is that we can change the hashtable_t
implementation without being impeded by the special requirements imposed
by get_match() and sorting the keys/items in buckets.
This can improve negative lookups, but is mostly intended to be used
with get_match() so keys/items can be matched/enumerated in a specific
order. It's like storing sorted linked lists under a shared key but
with less memory overhead.
Tobias Brunner