Add new operation: Kaitai Struct Decode #2020
Open
Conversation
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
|
|
![github-advanced-security[bot]](https://avatars.githubusercontent.com/in/57789?s=60&v=4){kind=small}
kendallgoto
force-pushed
the
kgoto/add-ksc
branch
4 times, most recently
from
f0b8327 to
60a1ed6
Compare
kendallgoto
force-pushed
the
kgoto/add-ksc
branch
from
60a1ed6 to
73d069d
Compare
# for free
to join this conversation on GitHub.
Already have an account?
# to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Kaitai Struct is a declarative language that defines the organization of binary data in a language-agnostic definition that can then be natively compiled to language-specific structures. It's commonly used for defining shared structure definitions between different programs (e.g. similar to Protobuf) or for general analysis / inspection of unknown binary data. Especially in the analysis of streaming data, it is found in popular tools such as ZAP and mitmproxy.
This operation allows the user to define a Kaitai definition that is applied to the input data, translating it either to JSON for pipelining or an annotated printout for rendering
Annotated printout for analysis
JSON output for pipelining
