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Currently the lifter stores every complex type it encountered during lifting.
Thus, if the globals.py lifts a undesired complex type (such as the ELF-Header) the type will be stored and printed in the backend, even if globals.py disregards (fixes) the type internally.
Therefore, the ELF-Header type is printed in the output, even if the decompiled code does not references it.
How to reproduce?
Decompile [.tar.gz at unary_operator.
The problem is in every function where BNinja yields the ELF header as a datavariable (e.g. every Null-pointer).
Affected Binary Ninja Version(s)
The text was updated successfully, but these errors were encountered:
As a temporary fix:
Globals.py can check the value of a datavariable before checking if the variable was already lifted.
Thus, the type will not be lifted and stored as a complex data type.
However, the overall issue, that every lifted complex type is stored still, even if it is not utilized in the code, remains.
What happened?
Currently the lifter stores every complex type it encountered during lifting.
Thus, if the globals.py lifts a undesired complex type (such as the ELF-Header) the type will be stored and printed in the backend, even if globals.py disregards (fixes) the type internally.
Therefore, the ELF-Header type is printed in the output, even if the decompiled code does not references it.
How to reproduce?
Decompile [.tar.gz at
unary_operator
.The problem is in every function where BNinja yields the ELF header as a datavariable (e.g. every Null-pointer).
Affected Binary Ninja Version(s)
The text was updated successfully, but these errors were encountered: