CWE-122: Heap-based Buffer Overflow

What is CWE-122?

CyStack AI

A heap overflow condition occurs when a buffer on the heap is overwritten beyond its allocated boundaries. This typically happens when memory allocated via routines like malloc is accessed with unchecked or excessive data.

CyStack analysis based on the official MITRE CWE source 4.20 (04/30/2026).

Official definition

MITRE CWE

A heap overflow condition is a buffer overflow, where the buffer that can be overwritten is allocated in the heap portion of memory, generally meaning that the buffer was allocated using a routine such as malloc().

Detailed description

Heap based overflows occur when untrusted input or mismanaged data writes exceed the boundaries of memory blocks allocated on the heap. Unlike stack overflows, heap overflows can corrupt allocator metadata, function pointers, or other heap managed structures, potentially enabling arbitrary code execution or program crashes. The vulnerability is tied to memory management routines and the security context of dynamic allocation, where exploitation often relies on corrupting data in the heap region and affecting the program's control flow or data integrity.

Characteristics

Abstraction: Variant. Structure: Simple. Likelihood of exploit: High. Introduction phase: Implementation. Terminology: Buffer overflow, heap. Platforms: Memory unsafe languages like C/C++. Related weakness characteristics include impact on availability, integrity, confidentiality, and access control when arbitrary code execution occurs.

  • Heap Overflow
  • Heap Buffer Overflow

Modes of introduction

  • Implementation

Common consequences

Scope includes Availability, Integrity, Confidentiality, Access Control. Impacts include DoS via crash or restart, resource consumption, and memory or CPU waste. Arbitrary code execution can bypass protection mechanisms and modify memory, potentially undermining user data and security policies. In some cases, exploitation may subvert other security services by altering control flow or memory structures.

  • Availability

    DoS: Crash, Exit, or Restart, DoS: Resource Consumption (CPU), DoS: Resource Consumption (Memory)

    Buffer overflows generally lead to crashes. Other attacks leading to lack of availability are possible, including putting the program into an infinite loop.

  • Integrity, Confidentiality, Availability, Access Control

    Execute Unauthorized Code or Commands, Bypass Protection Mechanism, Modify Memory

    Buffer 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.

  • Integrity, Confidentiality, Availability, Access Control, Other

    Execute Unauthorized Code or Commands, Bypass Protection Mechanism, Other

    When the consequence is arbitrary code execution, this can often be used to subvert any other security service.

Mitigations

Pre-design: Use a language or compiler that performs automatic bounds checking. Architecture and Design: Use an abstraction library to shield risky APIs. Operation/Build: Enable automatic overflow detection features in compilers or extensions (for example GS, FORTIFY_SOURCE, StackGuard, ProPolice, or D3-SFCV); while not complete, they provide canary-based or range checking. Operation/Build: Apply memory randomization techniques such as ASLR and PIE to hinder reliable code jumps. Implementation: Enforce bounds checking on inputs. Implementation: Prefer safe library functions and avoid dangerous ones like gets.

  • Pre-design: Use a language or compiler that performs automatic bounds checking.
  • Architecture and DesignUse an abstraction library to abstract away risky APIs. Not a complete solution.
  • Operation, Build and Compilation · Environment HardeningUse 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.Effectiveness: Defense in DepthThis 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.
  • Operation, Build and Compilation · Environment HardeningRun 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].Effectiveness: Defense in DepthThese 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].
  • ImplementationImplement and perform bounds checking on input.
  • Implementation · Libraries or FrameworksDo not use dangerous functions such as gets. Look for their safe equivalent, which checks for the boundary.
  • OperationUse OS-level preventative functionality. This is not a complete solution, but it provides some defense in depth.

Detection methods

Fuzzing is highly effective for triggering crashes and memory corruption, and automated dynamic analysis with tools like AddressSanitizer can detect memory safety errors during compilation or runtime. These methods have limits, as crafted inputs may be needed to reach the vulnerable code and some detectors may report the error without explaining the underlying mistake.

  • 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.Effectiveness: 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].Effectiveness: ModerateCrafted 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.

Representative vulnerabilities

Observed examples from the official record include chains of vulnerabilities such as: CVE-2025-46687 describing a heap overflow triggered by a length check failure in a Javascript engine, CVE-2021-43537 where a 64-bit to 32-bit cast can lead to heap memory corruption, CVE-2007-4268 involving signedness errors leading to heap overflow, CVE-2009-2523 where missing NULL termination causes heap overflow or buffer over-read, CVE-2021-29529 where bounds are derived from floating point rounding leading to heap overflow, and CVE-2010-1866 where integer overflow bypasses checks causing heap overflow.

These examples illustrate this CWE entry and are not an exhaustive list of related vulnerabilities.

  • CVE-2025-46687Chain: Javascript engine code does not perform a length check (CWE-1284) leading to integer overflow (CWE-190) causing allocation of smaller buffer than expected (CWE-131) resulting in a heap-based buffer overflow (CWE-122)
  • CVE-2021-43537Chain: in a web browser, an unsigned 64-bit integer is forcibly cast to a 32-bit integer (CWE-681) and potentially leading to an integer overflow (CWE-190). If an integer overflow occurs, this can cause heap memory corruption (CWE-122)
  • CVE-2007-4268Chain: integer signedness error (CWE-195) passes signed comparison, leading to heap overflow (CWE-122)
  • CVE-2009-2523Chain: product does not handle when an input string is not NULL terminated (CWE-170), leading to buffer over-read (CWE-125) or heap-based buffer overflow (CWE-122).
  • CVE-2021-29529Chain: machine-learning product can have a heap-based buffer overflow (CWE-122) when some integer-oriented bounds are calculated by using ceiling() and floor() on floating point values (CWE-1339)
  • CVE-2010-1866Chain: integer overflow (CWE-190) causes a negative signed value, which later bypasses a maximum-only check (CWE-839), leading to heap-based buffer overflow (CWE-122).

Sources and references

References

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