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As discussed with @hvitved offline. This helps out to ensrue we don't
needlessly evaluate dataflow for configurations that are not needed
anyway. That is, if other library modeling also used the same dataflow
configuration, which ends up being used in query A, then dataflow for
all the `DataFlowImplForLibraries` configurations would be computeted at
once. When we get to evaluate the query `RequestWithoutValidation.ql`
these results mgith have been forgotten since the predicates are not
cached, and everything will have to be computeted again.
In principle we could be added a dataflow copy for each framework.
However, since we know that the `disablesCertificateValidation`
member-predicates for all the HTTP client libraries will all be used at
the same time, and only for the one query, we only add ONE additional
copy.
Note that the only use of `DataFlowImplForLibraries` before this PR is
using `tainttrackingforlibraries.TaintTrackingImpl` (based on
DataFlowImplForLibraries) for regex computation.
c904ba1d16/ruby/ql/lib/codeql/ruby/Regexp.qll (L153)
Since this is currently transitively imported from Frameworks.qll
(through Core.qll, and core/String.qll), the previous approach didn't
actually violate the assumption about all configurations always being in
scope, but it might have been more by accident, than by purpose.
Ruby analysis support for CodeQL
This directory contains the extractor, CodeQL libraries, and queries that power Ruby support in LGTM and the other CodeQL products that GitHub makes available to its customers worldwide.
It contains two major components:
- static analysis libraries and queries written in CodeQL that can be used to analyze such a database to find coding mistakes or security vulnerabilities.
- an extractor, written in Rust, that parses Ruby source code and converts it into a database that can be queried using CodeQL. See Developer information for information on building the extractor (you do not need to do this if you are only developing queries).