CWE-122: Heap-based Buffer Overflow

What is CWE-122?

CWE-122 is Heap-based Buffer Overflow. The flaw arises when the product writes past the end of a buffer that was allocated on the heap. The database currently holds 1,098 vulnerabilities mapped to CWE-122 and 3 of them are in the CISA Known Exploited Vulnerabilities catalog.

OWASP Top 10 Rank-
Related CVES (365 days)1,098
AbstractionVariant
Likelihood of exploitHigh

Vulnerabilities mapped to CWE-122

1,098 vulnerabilities294% increase year over year

Vulnerabilities in CISA KEV for CWE-122

3 vulnerabilitiesNo change year over year

Official definition

ByMitre CWE

The product writes past the end of a buffer that was allocated on the heap.

Characteristics

Alternate terms

  • Heap Overflow
  • Heap Buffer Overflow

Modes of introduction

  • Implementation

Common consequences

ImpactScopeExplanation
DoS: Crash, Exit, or Restart, DoS: Resource Consumption (CPU), DoS: Resource Consumption (Memory)AvailabilityBuffer overflows generally lead to crashes. Other attacks leading to lack of availability are possible, including putting the program into an infinite loop.
Execute Unauthorized Code or Commands, Bypass Protection Mechanism, Modify MemoryIntegrity, Confidentiality, Availability, Access ControlBuffer overflows often can be used to execute arbitrary code, which is usually outside the scope of a program's implicit security policy. Besides important user data, heap-based overflows can be used to overwrite function pointers that may be living in memory, pointing it to the attacker's code. Even in applications that do not explicitly use function pointers, the run-time will usually leave many in memory. For example, object methods in C++ are generally implemented using function pointers. Even in C programs, there is often a global offset table used by the underlying runtime.
Execute Unauthorized Code or Commands, Bypass Protection Mechanism, OtherIntegrity, Confidentiality, Availability, Access Control, OtherWhen the consequence is arbitrary code execution, this can often be used to subvert any other security service.

Risk mitigations

  1. Pre-design: Use a language or compiler that performs automatic bounds checking.
  2. Architecture and DesignUse an abstraction library to abstract away risky APIs. Not a complete solution.
  3. Environment Hardening · Operation, Build and Compilation · Effectiveness: Defense in DepthUse automatic buffer overflow detection mechanisms that are offered by certain compilers or compiler extensions. Examples include: the Microsoft Visual Studio /GS flag, Fedora/Red Hat FORTIFY_SOURCE GCC flag, StackGuard, and ProPolice, which provide various mechanisms including canary-based detection and range/index checking. D3-SFCV (Stack Frame Canary Validation) from D3FEND [REF-1334] discusses canary-based detection in detail.This is not necessarily a complete solution, since these mechanisms only detect certain types of overflows. In addition, the result is still a denial of service, since the typical response is to exit the application.
  4. Environment Hardening · Operation, Build and Compilation · Effectiveness: Defense in DepthRun or compile the software using features or extensions that randomly arrange the positions of a program's executable and libraries in memory. Because this makes the addresses unpredictable, it can prevent an attacker from reliably jumping to exploitable code. Examples include Address Space Layout Randomization (ASLR) [REF-58] [REF-60] and Position-Independent Executables (PIE) [REF-64]. Imported modules may be similarly realigned if their default memory addresses conflict with other modules, in a process known as "rebasing" (for Windows) and "prelinking" (for Linux) [REF-1332] using randomly generated addresses. ASLR for libraries cannot be used in conjunction with prelink since it would require relocating the libraries at run-time, defeating the whole purpose of prelinking. For more information on these techniques see D3-SAOR (Segment Address Offset Randomization) from D3FEND [REF-1335].These techniques do not provide a complete solution. For instance, exploits frequently use a bug that discloses memory addresses in order to maximize reliability of code execution [REF-1337]. It has also been shown that a side-channel attack can bypass ASLR [REF-1333].
  5. ImplementationImplement and perform bounds checking on input.
  6. Libraries or Frameworks · ImplementationDo not use dangerous functions such as gets. Look for their safe equivalent, which checks for the boundary.
  7. OperationUse OS-level preventative functionality. This is not a complete solution, but it provides some defense in depth.

Detection methods

MethodApproachEffectiveness
FuzzingFuzz testing (fuzzing) is a powerful technique for generating large numbers of diverse inputs - either randomly or algorithmically - and dynamically invoking the code with those inputs. Even with random inputs, it is often capable of generating unexpected results such as crashes, memory corruption, or resource consumption. Fuzzing effectively produces repeatable test cases that clearly indicate bugs, which helps developers to diagnose the issues.High
Automated Dynamic AnalysisUse tools that are integrated during compilation to insert runtime error-checking mechanisms related to memory safety errors, such as AddressSanitizer (ASan) for C/C++ [REF-1518].Crafted inputs are necessary to reach the code containing the error, such as generated by fuzzers. Also, these tools may reduce performance, and they only report the error condition - not the original mistake that led to the error.Moderate

Representative vulnerabilities

Sources (2)

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