Support for multiple parser/analyzer types
Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 25/100
Research direction
Start by locating the Dispatcher and tracing how it currently selects and invokes analyzers. Review the proposed S3 metadata and Lambda ListFunctions approach, then define what support for multiple analyzer types and dispatching to matching available lambdas should look like; the issue names no files or tests.
Written by the indexing model from the issue text.
Description
Enhance the Dispatcher to support multiple types of "Analyser" lambdas based on the type of file to be processed. This would support a generalized file analysis platform that could handle binary files in multiple ways (YARA or other static/dynamic analysis) as well as other forensic artifacts (configuration files, memory captures, etc).
One possible approach would be to have the Dispatcher retrieve S3 metadata for each object. A key:value pair would define the specific parser to use (by name, or perhaps substring of arn). Dispatcher would use the Lambda API (ListFunctions) to discover which lambdas it had access to and could support. It would then dispatch the file to one (or multiple) lambdas that matched the metadata and were available.
- Dominant language
- Python
- Stars
- 1.5k
- Forks
- 178
- PR merge metrics
- No merged PRs in 30d
Getting set up
- No Dockerfile or Docker Compose file
- Has a pull request template
- No contributing guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
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