Tested on Fedora 37 with clang 15.
datasets.c:852:9: error: variable 'n' set but not used [-Werror,-Wunused-but-set-variable]
int n = 0;
^
1 error generated.
(cherry picked from commit 1bc6976a06)
So far, it was the job of caller to send the bae64 decoder a perfect
block of data and take care of the destination buffer (decoded data)
size. Now, make it the decoder's job to take care of any space
constraints that the destination buffer may have and return accordingly.
Also, handle space characters in base64 encoded data as per RFC 2045.
Update MIME parser accordingly to handle the base64 data.
Ticket: 5315
(cherry picked from commit 5b27619778)
Datasets can now have a global defaults setting in suricata.yaml. In
case the settings for memcap and hashsize are not find in the yaml or
rule, this shall be the fallback.
Example:
datasets:
defaults:
memcap: 100mb
hashsize: 2048
ua-seen:
type: string
load: datasets.csv
It is now possible to set the memcap and hashsize via suricata.yaml and
rules.
Rule example:
alert http any any -> any any (http.user_agent; dataset:isset,ua-seen,type string,load datasets.csv,memcap 100mb,hashsize 2048; sid:1;)
suricata.yaml example:
datasets:
ua-seen:
type: string
load: datasets.csv
memcap: 20mb
hashsize: 2048
Each 'add' and 'lookup' would increment the use_cnt, without anything
bringing it back down.
Since there is no removal yet, nothing is actually affected by it yet.
Datasets are sets/lists of data that can be accessed or added from
the rule language.
This patch implements 3 data types:
1. string (or buffer)
2. md5
3. sha256
The patch also implements 2 new rule keywords:
1. dataset
2. datarep
The dataset keyword allows matching against a list of values to see if
it exists or not. It can also add the value to the set. The set can
optionally be stored to disk on exit.
The datarep support matching/lookups only. With each item in the set a
reputation value is stored and this value can be matched against. The
reputation value is unsigned 16 bit, so values can be between 0 and 65535.
Datasets can be registered in 2 ways:
1. through the yaml
2. through the rules
The goal of this rules based approach is that rule writers can start using
this without the need for config changes.
A dataset is implemented using a thash hash table. Each dataset is its own
separate thash.