Memory Analysis Objectives

What to Look For and Why: Understanding Memory Analysis Objectives

Part 1: Program Initialization Analysis

What to Look For:

1. Entry point (`_start` or `main`)
   - The very first instruction executed
   - How the program sets up its environment

2. Stack initialization
   - Initial stack pointer value
   - How the stack frame is established

3. Global/static variable initialization
   - Where and when global variables get their values

Why It's Important:

- Security: Malware often hijacks the entry point
- Debugging: Understanding initialization helps trace later issues
- Performance: Initialization patterns affect startup time
- Compatibility: Different systems initialize memory differently

Part 2: Stack Frame Analysis

What to Look For:

1. Function prologue
   ```assembly
   push rbp          ; Save old base pointer
   mov rbp, rsp      ; Set new base pointer
   sub rsp, 0x20     ; Allocate space for locals
   ```

2. Local variable allocation
   - Where local variables live relative to RBP
   - How much stack space each function uses

3. Function epilogue
   ```assembly
   mov rsp, rbp      ; Clean up locals
   pop rbp           ; Restore old base pointer
   ret               ; Return to caller
   ```

Why It's Important:

- Buffer Overflow Detection: Understand where buffers are vulnerable
- Reverse Engineering: Helps reconstruct high-level code from assembly
- Optimization: Identify stack space waste
- Debugging: Locate corrupted stack frames

Part 3: Heap Memory Analysis

What to Look For:

1. malloc/calloc calls
   - Allocation sizes and patterns
   - Memory alignment considerations

2. Heap metadata
   - How the heap manager tracks allocations
   - Chunk headers and footers (in glibc)

3. Heap fragmentation
   - Free chunks and their management
   - Coalescing of adjacent free chunks

Why It's Important:

- Memory Leaks: Unfreed allocations waste resources
- Use-After-Free: Accessing freed memory causes crashes/exploits
- Heap Overflow: Overflowing one chunk corrupts adjacent ones
- Performance: Fragmentation slows allocation

Part 4: Buffer Overflow Analysis

What to Look For:

1. Stack layout of vulnerable function


 2. Overflow direction and impact
   - Which way does the overflow go (up or down in memory)?
   - What gets overwritten first?


3. Control flow hijacking
   - Can you overwrite the return address?
   - What value would redirect execution?

Why It's Important:

- Exploit Development: Understanding how attacks work
- Defense Implementation: Knowing what to protect
- Vulnerability Assessment: Identifying risky code patterns
- Forensics: Recognizing attack patterns after compromise

Part 5: Function Call Convention Analysis

What to Look For:

1. System V AMD64 ABI (Linux x86_64)
   - Arguments: RDI, RSI, RDX, RCX, R8, R9, then stack
   - Return value: RAX
   - Callee-saved: RBX, RBP, R12-R15
   - Caller-saved: Everything else

2. Stack alignment
   - RSP must be 16-byte aligned before `call`
   - Compiler ensures this with `sub rsp, X`

Why It's Important:

- Interoperability: Functions must agree on how to pass data
- Debugging: Understand where to find function arguments
- Optimization: Calling conventions affect performance
- Binary Analysis: Reconstruct function signatures

Part 6: Memory Layout Analysis

What to Look For:

Why It's Important:

- ASLR: Address Space Layout Randomization affects predictability
- Exploit Mitigation: Non-executable stacks/heaps
- Memory Protection: Different segments have different permissions
- Forensics: Memory layout reveals system and compiler details

Part 7: Control Flow Analysis

What to Look For:

1. Direct jumps/calls
   - `jmp 0x401234`
   - `call 0x401000`

2. Indirect jumps/calls
   - `jmp rax`
   - `call [rbx+0x8]`

3. Conditional branches
   - `je`, `jne`, `jg`, etc.
   - Based on flags register

Why It's Important:

- Program Understanding: Follow the execution path
- Malware Analysis: Detect obfuscated control flow
- Optimization: Identify hot paths and bottlenecks
- Vulnerability: Spot where control can be hijacked

Part 8: System Call Analysis

What to Look For:

1. Syscall invocation (x86_64)
   ```assembly
   mov rax, 1      ; syscall number (write = 1)
   mov rdi, 1      ; fd = stdout
   mov rsi, buffer ; buffer address
   mov rdx, len    ; length
   syscall
   ```

2. Common syscalls to monitor
   - `execve` (process execution)
   - `mmap` (memory mapping)
   - `mprotect` (permission changes)
   - `ptrace` (debugging/anti-debugging)

Why It's Important:

- Malware Detection: Unusual syscall patterns indicate malicious behavior
- Sandbox Evasion: Malware checks for debuggers via syscalls
- Resource Monitoring: Understand what resources the program uses
- Forensics: Syscalls leave traces in logs

Part 9: Data Structure Analysis

What to Look For:

1. Arrays
   - Contiguous memory
   - Index calculation: `base + index * size`

2. Structs
   - Fields at fixed offsets
   - Padding for alignment

3. Linked lists
   - Nodes with data + next pointer
   - Traversal via pointer chasing

Why It's Important:

- Memory Corruption: Understanding layout helps exploit/defend
- Performance: Data structure choices affect cache usage
- Reverse Engineering: Reconstruct high-level data types
- Debugging: Know what memory should contain

Part 10: Security Mechanism Analysis

What to Look For:

1. Stack canaries
   - Random value before return address
   - Checked before function return

2. NX/DEP (No-Execute)
   - `mprotect` calls changing permissions
   - Segments without execute permission

3. ASLR
   - Randomized base addresses
   - Different each run

4. RELRO
   - Read-only GOT after relocation
   - Prevents GOT overwrite attacks

Why It's Important:

- Attack Mitigation: Understand what protections are in place
- Exploit Development: Know what to bypass
- Security Assessment: Evaluate program hardening
- Forensics: Detect bypass attempts

Real-World Applications


1. Vulnerability Research
What to look for: Unsafe functions (`strcpy`, `gets`), lack of bounds checking, integer overflows  
Why: These are the root causes of exploits in real software

2. Malware Analysis
What to look for: Unusual syscalls, code injection, anti-debugging tricks  
Why: Malware uses memory manipulation to evade detection
3. Performance Optimization
What to look for: Memory access patterns, cache usage, allocation frequency  
Why: Memory is often the bottleneck in high-performance software

4. Forensics
What to look for: Memory artifacts, execution traces, modified code  
Why: Memory contains evidence even after files are deleted

5. Reverse Engineering
What to look for: Function boundaries, data structures, control flow  
Why: Needed for interoperability, security audits, legacy systems


Assessment

Beginner:
1. What is the difference between stack and heap memory?
2. How does a function call affect the stack?
3. What register holds the return value?

Intermediate:
1. How would you detect a buffer overflow in this code?
2. What memory protections are enabled and why?
3. How could an attacker hijack control flow?

Advanced:
1. Write an exploit for the vulnerability
2. Implement a security mitigation
3. Optimize the memory usage


By understanding what to look for and why, you transform from passive observers to active analysts, developing skills that are valuable across computing disciplines from security to performance optimization.