CWE-120: Buffer Copy without Checking Size of Input ('Classic Buffer Overflow')
Also known as: Classic Buffer Overflow, Unbounded Transfer
The product copies an input buffer to an output buffer without verifying that the size of the input buffer is less than the size of the output buffer.
Last updated
Overview
CWE-120 (Buffer Copy without Checking Size of Input ('Classic Buffer Overflow')) is a base-level software weakness catalogued by MITRE in the Common Weakness Enumeration (CWE). It describes a recurring type of mistake that can lead to exploitable security vulnerabilities.
Real-world CVEs
2,732 recorded CVEs are caused by CWE-120 (Buffer Copy without Checking Size of Input ('Classic Buffer Overflow')), including 22 in CISA's KEV (Known Exploited Vulnerabilities) catalog. KEVs are shown first. 450 new CWE-120 CVEs have been recorded so far in 2026 (764 in 2025).
- CVE-2023-33009CISA KEVCritical · CVSS 10.0 · EPSS 98th2023-05-24
- CVE-2016-10174CISA KEVCritical · CVSS 9.8 · EPSS 100th2017-01-30
- CVE-2019-11043CISA KEV
Underflow in PHP-FPM can lead to RCE
Critical · CVSS 9.5 · EPSS 100th2019-10-28 - CVE-2020-15999CISA KEVCritical · CVSS 9.4 · EPSS 99th2020-11-03
- CVE-2007-5659CISA KEVCritical · CVSS 9.4 · EPSS 100th2008-02-12
- CVE-2023-33010CISA KEVCritical · CVSS 9.3 · EPSS 98th2023-05-24
- CVE-2022-37055CISA KEVCritical · CVSS 9.3 · EPSS 99th2022-08-28
- CVE-2020-5135CISA KEVCritical · CVSS 9.3 · EPSS 98th2020-10-12
- CVE-2020-15069CISA KEVCritical · CVSS 9.3 · EPSS 95th2020-06-29
- CVE-2018-6789CISA KEVCritical · CVSS 9.3 · EPSS 100th2018-02-08
- CVE-2017-6862CISA KEVCritical · CVSS 9.3 · EPSS 99th2017-05-26
- CVE-2017-7269CISA KEVCritical · CVSS 9.3 · EPSS 100th2017-03-27
Showing 12 of 2,732 recorded CWE-120 CVEs. Track new ones as they are published and get AI-written analysis and fixes.
Monitor CWE-120 vulnerabilitiesCommon consequences
What can happen when CWE-120 is exploited.
Modify Memory, Execute Unauthorized Code or Commands
Affects: Integrity, Confidentiality, Availability
Buffer overflows often can be used to execute arbitrary code, which is usually outside the scope of the product's implicit security policy. This can often be used to subvert any other security service.
Modify Memory, DoS: Crash, Exit, or Restart, DoS: Resource Consumption (CPU)
Affects: Availability
Buffer overflows generally lead to crashes. Other attacks leading to lack of availability are possible, including putting the product into an infinite loop.
How it happens
When it is introduced
Typically introduced during these phases of the software lifecycle.
Applies to
Languages
How to prevent it
Practical mitigations for CWE-120, grouped by where in the lifecycle they apply.
Use a language that does not allow this weakness to occur or provides constructs that make this weakness easier to avoid.
For example, many languages that perform their own memory management, such as Java and Perl, are not subject to buffer overflows. Other languages, such as Ada and C#, typically provide overflow protection, but the protection can be disabled by the programmer.
Be wary that a language's interface to native code may still be subject to overflows, even if the language itself is theoretically safe.
Use a vetted library or framework that does not allow this weakness to occur or provides constructs that make this weakness easier to avoid.
Examples include the Safe C String Library (SafeStr) by Messier and Viega [REF-57], and the Strsafe.h library from Microsoft [REF-56]. These libraries provide safer versions of overflow-prone string-handling functions.
Use 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 Depth
Consider adhering to the following rules when allocating and managing an application's memory:
- Double check that your buffer is as large as you specify.
- When using functions that accept a number of bytes to copy, such as strncpy(), be aware that if the destination buffer size is equal to the source buffer size, it may not NULL-terminate the string.
- Check buffer boundaries if accessing the buffer in a loop and make sure there is no danger of writing past the allocated space.
- If necessary, truncate all input strings to a reasonable length before passing them to the copy and concatenation functions.
Assume all input is malicious. Use an "accept known good" input validation strategy, i.e., use a list of acceptable inputs that strictly conform to specifications. Reject any input that does not strictly conform to specifications, or transform it into something that does.
When performing input validation, consider all potentially relevant properties, including length, type of input, the full range of acceptable values, missing or extra inputs, syntax, consistency across related fields, and conformance to business rules. As an example of business rule logic, "boat" may be syntactically valid because it only contains alphanumeric characters, but it is not valid if the input is only expected to contain colors such as "red" or "blue."
Do not rely exclusively on looking for malicious or malformed inputs. This is likely to miss at least one undesirable input, especially if the code's environment changes. This can give attackers enough room to bypass the intended validation. However, denylists can be useful for detecting potential attacks or determining which inputs are so malformed that they should be rejected outright.
For any security checks that are performed on the client side, ensure that these checks are duplicated on the server side, in order to avoid CWE-602. Attackers can bypass the client-side checks by modifying values after the checks have been performed, or by changing the client to remove the client-side checks entirely. Then, these modified values would be submitted to the server.
Run 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 Depth — 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].
Use a CPU and operating system that offers Data Execution Protection (using hardware NX or XD bits) or the equivalent techniques that simulate this feature in software, such as PaX [REF-60] [REF-61]. These techniques ensure that any instruction executed is exclusively at a memory address that is part of the code segment.
For more information on these techniques see D3-PSEP (Process Segment Execution Prevention) from D3FEND [REF-1336].
Effectiveness: Defense in Depth — This is not a complete solution, since buffer overflows could be used to overwrite nearby variables to modify the software's state in dangerous ways. In addition, it cannot be used in cases in which self-modifying code is required. Finally, an attack could still cause a denial of service, since the typical response is to exit the application.
Most mitigating technologies at the compiler or OS level to date address only a subset of buffer overflow problems and rarely provide complete protection against even that subset. It is good practice to implement strategies to increase the workload of an attacker, such as leaving the attacker to guess an unknown value that changes every program execution.
Replace unbounded copy functions with analogous functions that support length arguments, such as strcpy with strncpy. Create these if they are not available.
Effectiveness: Moderate — This approach is still susceptible to calculation errors, including issues such as off-by-one errors (CWE-193) and incorrectly calculating buffer lengths (CWE-131).
When the set of acceptable objects, such as filenames or URLs, is limited or known, create a mapping from a set of fixed input values (such as numeric IDs) to the actual filenames or URLs, and reject all other inputs.
Run your code using the lowest privileges that are required to accomplish the necessary tasks [REF-76]. If possible, create isolated accounts with limited privileges that are only used for a single task. That way, a successful attack will not immediately give the attacker access to the rest of the software or its environment. For example, database applications rarely need to run as the database administrator, especially in day-to-day operations.
Run the code in a "jail" or similar sandbox environment that enforces strict boundaries between the process and the operating system. This may effectively restrict which files can be accessed in a particular directory or which commands can be executed by the software.
OS-level examples include the Unix chroot jail, AppArmor, and SELinux. In general, managed code may provide some protection. For example, java.io.FilePermission in the Java SecurityManager allows the software to specify restrictions on file operations.
This may not be a feasible solution, and it only limits the impact to the operating system; the rest of the application may still be subject to compromise.
Be careful to avoid CWE-243 and other weaknesses related to jails.
Effectiveness: Limited — The effectiveness of this mitigation depends on the prevention capabilities of the specific sandbox or jail being used and might only help to reduce the scope of an attack, such as restricting the attacker to certain system calls or limiting the portion of the file system that can be accessed.
How to detect it
Automated Static Analysis
This weakness can often be detected using automated static analysis tools. Many modern tools use data flow analysis or constraint-based techniques to minimize the number of false positives.
Automated static analysis generally does not account for environmental considerations when reporting out-of-bounds memory operations. This can make it difficult for users to determine which warnings should be investigated first. For example, an analysis tool might report buffer overflows that originate from command line arguments in a program that is not expected to run with setuid or other special privileges.
Effectiveness: High
Automated Dynamic Analysis
This weakness can be detected using dynamic tools and techniques that interact with the software using large test suites with many diverse inputs, such as fuzz testing (fuzzing), robustness testing, and fault injection. The software's operation may slow down, but it should not become unstable, crash, or generate incorrect results.
Manual Analysis
Manual analysis can be useful for finding this weakness, but it might not achieve desired code coverage within limited time constraints. This becomes difficult for weaknesses that must be considered for all inputs, since the attack surface can be too large.
Automated Dynamic Analysis
Use 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: Moderate
Automated Static Analysis - Binary or Bytecode
According to SOAR [REF-1479], the following detection techniques may be useful:
Effectiveness: High
Manual Static Analysis - Binary or Bytecode
According to SOAR [REF-1479], the following detection techniques may be useful:
Effectiveness: SOAR Partial
Dynamic Analysis with Automated Results Interpretation
According to SOAR [REF-1479], the following detection techniques may be useful:
Effectiveness: SOAR Partial
Dynamic Analysis with Manual Results Interpretation
According to SOAR [REF-1479], the following detection techniques may be useful:
Effectiveness: SOAR Partial
Manual Static Analysis - Source Code
According to SOAR [REF-1479], the following detection techniques may be useful:
Effectiveness: SOAR Partial
Automated Static Analysis - Source Code
According to SOAR [REF-1479], the following detection techniques may be useful:
Effectiveness: High
Architecture or Design Review
According to SOAR [REF-1479], the following detection techniques may be useful:
Effectiveness: High
Code examples
Illustrative examples from MITRE showing how the weakness appears in code.
The following code asks the user to enter their last name and then attempts to store the value entered in the last_name array.
Vulnerable example
char last_name[20];The problem with the code above is that it does not restrict or limit the size of the name entered by the user. If the user enters "Very_very_long_last_name" which is 24 characters long, then a buffer overflow will occur since the array can only hold 20 characters total.
The following code attempts to create a local copy of a buffer to perform some manipulations to the data.
Vulnerable example
void manipulate_string(char * string){However, the programmer does not ensure that the size of the data pointed to by string will fit in the local buffer and copies the data with the potentially dangerous strcpy() function. This may result in a buffer overflow condition if an attacker can influence the contents of the string parameter.
The code below calls the gets() function to read in data from the command line.
However, gets() is inherently unsafe, because it copies all input from STDIN to the buffer without checking size. This allows the user to provide a string that is larger than the buffer size, resulting in an overflow condition.
In the following example, a server accepts connections from a client and processes the client request. After accepting a client connection, the program will obtain client information using the gethostbyaddr method, copy the hostname of the client that connected to a local variable and output the hostname of the client to a log file.
However, the hostname of the client that connected may be longer than the allocated size for the local hostname variable. This will result in a buffer overflow when copying the client hostname to the local variable using the strcpy method.
Illustrative examples
Real CVEs that MITRE cites as examples of this weakness.
- CVE-2000-1094 — buffer overflow using command with long argument
- CVE-1999-0046 — buffer overflow in local program using long environment variable
- CVE-2002-1337 — buffer overflow in comment characters, when product increments a counter for a ">" but does not decrement for "<"
- CVE-2003-0595 — By replacing a valid cookie value with an extremely long string of characters, an attacker may overflow the application's buffers.
- CVE-2001-0191 — By replacing a valid cookie value with an extremely long string of characters, an attacker may overflow the application's buffers.
Terminology & mappings
Alternate terms
- Classic Buffer Overflow
- This term was frequently used by vulnerability researchers during approximately 1995 to 2005 to differentiate buffer copies without length checks (which had been known about for decades) from other emerging weaknesses that still involved invalid accesses of buffers, as vulnerability researchers began to develop advanced exploitation techniques.
- Unbounded Transfer
Mapped taxonomies
- PLOVER: Unbounded Transfer ('classic overflow')
- 7 Pernicious Kingdoms: Buffer Overflow
- CLASP: Buffer overflow
- OWASP Top Ten 2004: Unvalidated Input (A1) — CWE More Specific fit
- OWASP Top Ten 2004: Buffer Overflows (A5) — CWE More Specific fit
- CERT C Secure Coding: Guarantee that storage for strings has sufficient space for character data and the null terminator (STR31-C) — Exact fit
- WASC: Buffer Overflow (7)
- Software Fault Patterns: Faulty Buffer Access (SFP8)
- OMG ASCSM (ASCSM-CWE-120)
- OMG ASCRM (ASCRM-CWE-120)
Attack patterns
CAPEC attack patterns that exploit this weakness.
- CAPEC-10: Buffer Overflow via Environment Variables
- CAPEC-100: Overflow Buffers
- CAPEC-14: Client-side Injection-induced Buffer Overflow
- CAPEC-24: Filter Failure through Buffer Overflow
- CAPEC-42: MIME Conversion
- CAPEC-44: Overflow Binary Resource File
- CAPEC-45: Buffer Overflow via Symbolic Links
- CAPEC-46: Overflow Variables and Tags
- CAPEC-47: Buffer Overflow via Parameter Expansion
- CAPEC-67: String Format Overflow in syslog()
- CAPEC-8: Buffer Overflow in an API Call
- CAPEC-9: Buffer Overflow in Local Command-Line Utilities
- CAPEC-92: Forced Integer Overflow
Frequently asked questions
Common questions about CWE-120.
- What is CWE-120?
- The product copies an input buffer to an output buffer without verifying that the size of the input buffer is less than the size of the output buffer.
- What CVEs are caused by CWE-120?
- 2,732 recorded CVEs are attributed to CWE-120, including CVE-2023-33009, CVE-2016-10174, CVE-2019-11043. 22 are listed in CISA's Known Exploited Vulnerabilities (KEV) catalog.
- Is CWE-120 part of the OWASP Top 10?
- CWE-120 maps to OWASP Top Ten 2004: Unvalidated Input (A1) in the OWASP security taxonomy.
- How do you prevent CWE-120?
- Use a language that does not allow this weakness to occur or provides constructs that make this weakness easier to avoid.
- How is CWE-120 detected?
- Automated Static Analysis: This weakness can often be detected using automated static analysis tools. Many modern tools use data flow analysis or constraint-based techniques to minimize the number of false positives.
- What are the consequences of CWE-120?
- Exploiting CWE-120 can lead to: Modify Memory, Execute Unauthorized Code or Commands, DoS: Crash, Exit, or Restart, DoS: Resource Consumption (CPU).
- Is CWE-120 actively exploited?
- Yes. 22 CWE-120 vulnerabilities are in CISA's KEV catalog of actively exploited flaws, out of 2,732 recorded CVEs.
References
- MITRE CWE definition (CWE-120) (opens in a new tab)
- CWE-120 vulnerabilities on NVD (opens in a new tab)
- Learn: What is a CWE?
Weakness data is sourced from the MITRE CWE catalog (v4.20). CVE associations are aggregated and kept current by RadicalNotion.AI.
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