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技术 2022年11月7日
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Common Sections

The .text section is where all general-purpose code emitted by the compiler or assembler ends up. Since PE files run in 32-bit mode and aren’t restricted to 16-bit segments, there’s no reason to break the code from separate source files into separate sections. Instead, the linker concatenates all the .text sections from the various OBJs into one big .text section in the EXE. If you use Borland C++ the compiler emits its code to a segment named CODE. PE files produced with Borland C++ have a section named CODE rather than one called .text.

In a PE file, when you call a function in another module (for example, GetMessage in USER32.DLL), the CALL instruction emitted by the compiler doesn’t transfer control directly to the function in the DLL . Instead, the call instruction transfers control to a

<img src="data:image/png;base64,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" alt="" />

instruction that’s also in the .text section. The JMP instruction indirects through a DWORD variable in the .idata section.This .idata section DWORD contains the real address of the operating system function entry point.After thinking about this for a while, I came to understand why DLL calls are implemented this way. By funneling all calls to a given DLL function through one location, the loader doesn’t need to patch every instruction that calls a DLL.All the PE loader has to do is put the correct address of the target function into the DWORD in the .idata section. No call instructions need to be patched.This is in marked contrast to NE files, where each segment contains a list of fixups that need to be applied to the segment. If the segment calls a given DLL function 20 times, the loader must write the address of that function 20 times into the segment.The downside to the PE method is that you can’t initialize a variable with the true address of a DLL function. For example, you would think that something like

<img src="data:image/png;base64,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" alt="" />

would put the address of GetMessage into the variable pfnGetMessage. In 16-bit Windows, this works, while in Win32 it doesn’t.In Win32, the variable pfnGetMessage will end up holding the address of the JMP DWORD PTR [XXXXXXXX] thunk that I mentioned earlier.

<img src="data:image/png;base64,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" 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If you wanted to call through the function pointer, things would work as you’d expect. However, if you want to read the bytes at the beginning of GetMessage, you’re out of luck (unless you do additional work to follow the .idata “pointer” yourself).

这里开始讨论import library。

There is an important difference in how Borland PE files link to other modules. As I mentioned in the .text description, all calls to OBJs go through a JMP DWORD PTR [XXXXXXXX] thunk. Under the Microsoft system, this thunk comes to the EXE from the .text section of an import library. Because the library manager (LIB32) creates the import library (and the thunk) when you link the external DLL, the linker doesn’t have to “know” how to generate these thunks itself. The import library is really just some more code and data to link into the PE file.

The import libraries that the Borland linker uses are really just a list of function names along with the name of the DLL they’re in. TLINK32 is therefore responsible for determining which fixups are to external DLLs, and generating an appropriate JMP DWORD PTR [XXXXXXXX] thunk for it. TLINK32 stores the thunks that it creates in a section named .icode.

Just as .text is the default section for code, the .data section is where your initialized data goes. This data consists of global and static variables that are initialized at compile time. It also includes string literals. The linker combines all the .data sections from the OBJ and LIB files into one .data section in the EXE. Local variables are located on a thread’s stack, and take no room in the .data or .bss sections.

The .bss section is where any uninitialized static and global variables are stored. The linker combines all the .bss sections in the OBJ and LIB files into one .bss section in the EXE. In the section table, the RawDataOffset field for the .bss section is set to 0, indicating that this section doesn’t take up any space in the file. TLINK doesn’t emit this section. Instead it extends the virtual size of the DATA section.

.CRT is another initialized data section utilized by the Microsoft C/C++ run-time libraries (hence the name).

The .rsrc section contains all the resources for the module.

The .idata section contains information about functions (and data) that the module imports from other DLLs.

The .edata section is a list of the functions and data that the PE file exports for other modules.Windows, there’s seldom a reason to export anything from an EXE file, so you usually only see .edata sections in DLLs.

The .reloc section holds a table of base relocations. A base relocation is an adjustment to an instruction or initialized variable value that’s needed if the loader couldn’t load the file where the linker assumed it would. If the loader is able to load the image at the linker’s preferred base address, the loader completely ignores the relocation information in this section.

It’s important to note that the JMP and CALL instructions that the compiler generates use offsets relative to the instruction, rather than actual offsets in the 32-bit flat segment. If the image needs to be loaded somewhere other than where the linker assumed for a base address, these instructions don’t need to change, since they use relative addressing. As a result, there are not as many relocations as you might think. Relocations are usually only needed for instructions that use a 32-bit offset to some data. For example, let’s say you had the following global variable declarations:

<img src="data:image/png;base64,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" alt="" />

对于relocation的理解

If the linker assumed an image base of 0x10000, the address of the variable i will end up containing something like 0x12004. At the memory used to hold the pointer “ptr”, the linker will have written out 0x12004, since that’s the address of the variable i. If the loader for whatever reason decided to load the file at a base address of 0x70000, the address of i would be 0x72004. The .reloc section is a list of places in the image where the difference between the linker assumed load address and the actual load address needs to be factored in.

.tls section.

……

PE File Imports

Earlier, I described how function calls to outside DLLs don’t call the DLL directly. Instead, the CALL instruction goes to a JMP DWORD PTR [XXXXXXXX] instruction somewhere in the executable’s .text section (or .icode section if you’re using Borland C++). The address that the JMP instruction looks up and transfers control to is the real target address. The PE file’s .idata section contains the information necessary for the loader to determine the addresses of the target functions and patch them into the executable image.

The .idata section (or import table, as I prefer to call it) begins with an array of IMAGE_IMPORT_DESCRIPTORs. There is one IMAGE_IMPORT_DESCRIPTOR for each DLL that the PE file implicitly links to. There’s no field indicating the number of structures in this array. Instead, the last element of the array is indicated by an IMAGE_IMPORT_DESCRIPTOR that has fields filled with NULLs.

IMAGE_IMPORT_DESCRIPTOR Format

DWORD Characteristics
At one time, this may have been a set of flags. However, Microsoft changed its meaning and never bothered to update WINNT.H. This field is really an offset (an RVA) to an array of pointers. Each of these pointers points to an IMAGE_IMPORT_BY_NAME structure.
DWORD TimeDateStamp
The time/date stamp indicating when the file was built.
DWORD ForwarderChain
This field relates to forwarding. Forwarding involves one DLL sending on references to one of its functions to another DLL. For example, in Windows NT, NTDLL.DLL appears to forward some of its exported functions to KERNEL32.DLL. An application may think it’s calling a function in NTDLL.DLL, but it actually ends up calling into KERNEL32.DLL. This field contains an index into FirstThunk array (described momentarily). The function indexed by this field will be forwarded to another DLL. Unfortunately, the format of how a function is forwarded isn’t documented, and examples of forwarded functions are hard to find.
DWORD Name
This is an RVA to a NULL-terminated ASCII string containing the imported DLL’s name. Common examples are “KERNEL32.DLL” and “USER32.DLL”.
PIMAGE_THUNK_DATA FirstThunk
This field is an offset (an RVA) to an IMAGE_THUNK_DATA union.In almost every case, the union is interpreted as a pointer to an IMAGE_IMPORT_BY_NAME structure. If the field isn’t one of these pointers, then it’s supposedly treated as an export ordinal value for the DLL that’s being imported. It’s not clear from the documentation if you really can import a function by ordinal rather than by name.

这里挂两张导入表图解:

<img src="https://www.shuzhiduo.com/A/KE5Q18MZ5L/data:image/png;base64,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" 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" 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There is one IMAGE_IMPORT_BY_NAME structure for each function that the PE file imports. An IMAGE_IMPORT_BY_NAME structure is very simple, and looks like this:

<img src="data:image/png;base64,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" alt="" />

The important parts of an IMAGE_IMPORT_DESCRIPTOR are the imported DLL name and the two arrays of IMAGE_IMPORT_BY_NAME pointers. In the EXE file, the two arrays (pointed to by the Characteristics and FirstThunk fields) run parallel to each other, and are terminated by a NULL pointer entry at the end of each array. The pointers in both arrays point to an IMAGE_IMPORT_BY_NAME structure.

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" 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Why are there two parallel arrays of pointers to the IMAGE_IMPORT_BY_NAME structures? The first array (the one pointed at by the Characteristics field) is left alone, and never modified. It’s sometimes called the hint-name table. The second array (pointed at by the FirstThunk field) is overwritten by the PE loader.The loader iterates through each pointer in the array and finds the address of the function that each IMAGE_IMPORT_BY_NAME structure refers to. The loader then overwrites the pointer to IMAGE_IMPORT_BY_NAME with the found function’s address. The [XXXXXXXX] portion of the JMP DWORD PTR [XXXXXXXX] thunk refers to one of the entries in the FirstThunk array.Since the array of pointers that’s overwritten by the loader eventually holds the addresses of all the imported functions, it’s called the Import Address Table.

Since the import address table is in a writeable section, it’s relatively easy to intercept calls that an EXE or DLL makes to another DLL.

PE File Exports

At the start of an .edata section is an IMAGE_EXPORT_DIRECTORY structure.

DWORD Characteristics
This field appears to be unused and is always set to 0.
DWORD TimeDateStamp
The time/date stamp indicating when this file was created.
WORD MajorVersion
WORD MinorVersion
These fields appear to be unused and are set to 0.
DWORD Name
The RVA of an ASCIIZ string with the name of this DLL.
DWORD Base
The starting ordinal number for exported functions. For example, if the file exports functions with ordinal values of 10, 11, and 12, this field contains 10. To obtain the exported ordinal for a function, you need to add this value to the appropriate element of the AddressOfNameOrdinals array.
DWORD NumberOfFunctions
The number of elements in the AddressOfFunctions array. This value is also the number of functions exported by this module. Theoretically, this value could be different than the NumberOfNames field (next), but actually they’re always the same.
DWORD NumberOfNames
The number of elements in the AddressOfNames array. This value seems always to be identical to the NumberOfFunctions field, and so is the number of exported functions.
PDWORD *AddressOfFunctions
This field is an RVA and points to an array of function addresses. The function addresses are the entry points (RVAs) for each exported function in this module.
PDWORD *AddressOfNames
This field is an RVA and points to an array of string pointers. The strings are the names of the exported functions in this module.
PWORD *AddressOfNameOrdinals
This field is an RVA and points to an array of WORDs. The WORDs are the export ordinals of all the exported functions in this module. However, don’t forget to add in the starting ordinal number specified in the Base field.

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" 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PE File Base Relocations

When the linker creates an EXE file, it makes an assumption about where the file will be mapped into memory. Based on this, the linker puts the real addresses of code and data items into the executable file. If for whatever reason the executable ends up being loaded somewhere else in the virtual address space, the addresses the linker plugged into the image are wrong. The information stored in the .reloc section allows the PE loader to fix these addresses in the loaded image so that they’re correct again. On the other hand, if the loader was able to load the file at the base address assumed by the linker, the .reloc section data isn’t needed and is ignored. The entries in the .reloc section are called base relocations since their use depends on the base address of the loaded image.Let’s look at an example to see how base relocations work. An executable file is linked assuming a base address of 0x10000. At offset 0x2134 within the image is a pointer containing the address of a string. The string starts at physical address 0x14002, so the pointer contains the value 0x14002. You then load the file, but the loader decides that it needs to map the image starting at physical address 0x60000. The difference between the linker-assumed base load address and the actual load address is called the delta. In this case, the delta is 0x50000. Since the entire image is 0x50000 bytes higher in memory, so is the string (now at address 0x64002). The pointer to the string is now incorrect. The executable file contains a base relocation for the memory location where the pointer to the string resides. To resolve a base relocation, the loader adds the delta value to the original value at the base relocation address. In this case, the loader would add 0x50000 to the original pointer value (0x14002), and store the result (0x64002) back into the pointer’s memory. Since the string really is at 0x64002, everything is fine with the world.

IMAGE_BASE_RELOCATION Format

DWORD VirtualAddress
This field contains the starting RVA for this chunk of relocations. The offset of each relocation that follows is added to this value to form the actual RVA where the relocation needs to be applied.
DWORD SizeOfBlock
The size of this structure plus all the WORD relocations that follow. To determine the number of relocations in this block, subtract the size of an IMAGE_BASE_RELOCATION (8 bytes) from the value of this field, and then divide by 2 (the size of a WORD).
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