Weakness · High
CWE-190: Integer Overflow or Wraparound
What it is
The product performs a calculation that can produce an integer overflow or wraparound when the logic assumes that the resulting value will always be larger than the original value. This occurs when an integer value is incremented to a value that is too large to store in the associated representation. When this occurs, the value may become a very small or negative number.
- Severity (our rating)
- High
- Likelihood of exploit
- Medium
- Introduced during
- Implementation
- Exploited in the wild
- 16 known exploited CVEs
What an attacker can do
- DoS: Crash, Exit, or Restart (Availability, Other)
- DoS: Resource Consumption (Memory) (Availability)
- DoS: Instability (Availability)
- Modify Memory (Integrity)
- Execute Unauthorized Code or Commands (Confidentiality, Availability, Access Control)
- Bypass Protection Mechanism (Confidentiality, Availability, Access Control)
- Alter Execution Logic (Availability, Other)
- DoS: Resource Consumption (CPU) (Availability, Other)
How to prevent it
Requirements
- Ensure that all protocols are strictly defined, such that all out-of-bounds behavior can be identified simply, and require strict conformance to the protocol.
- Use a language that does not allow this weakness to occur or provides constructs that make this weakness easier to avoid. If possible, choose a language or compiler that performs automatic bounds checking.
Architecture and Design
- Use a vetted library or framework that does not allow this weakness to occur or provides constructs that make this weakness easier to avoid. Use libraries or frameworks that make it easier to handle numbers without unexpected consequences. Examples include safe integer handling packages such as SafeInt (C++) or IntegerLib (C or C++).
- 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.
Implementation
- Perform input validation on any numeric input by ensuring that it is within the expected range. Enforce that the input meets both the minimum and maximum requirements for the expected range. Use unsigned integers where possible. This makes it easier to perform validation for integer overflows. When signed integers are required, ensure that the range check includes minimum values as well as maximum values.
- Understand the programming language's underlying representation and how it interacts with numeric calculation (CWE-681). Pay close attention to byte size discrepancies, precision, signed/unsigned distinctions, truncation, conversion and casting between types, "not-a-number" calculations, and how the language handles numbers that are too large or too small for its underlying representation. Also be careful to account for 32-bit, 64-bit, and other potential differences that may affect the numeric representation.
- Examine compiler warnings closely and eliminate problems with potential security implications, such as signed / unsigned mismatch in memory operations, or use of uninitialized variables. Even if the weakness is rarely exploitable, a single failure may lead to the compromise of the entire system.
How to find 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.
- Black Box. Sometimes, evidence of this weakness can be detected using dynamic tools and techniques that interact with the product using large test suites with many diverse inputs, such as fuzz testing (fuzzing), robustness testing, and fault injection. The product's operation may slow down, but it should not become unstable, crash, or generate incorrect results.
- Manual Analysis. This weakness can be detected using tools and techniques that require manual (human) analysis, such as penetration testing, threat modeling, and interactive tools that allow the tester to record and modify an active session. Specifically, manual static analysis is useful for evaluating the correctness of allocation calculations. This can be useful for detecting overflow conditions (CWE-190) or similar weaknesses that might have serious security impacts on the program.
- Automated Static Analysis - Binary or Bytecode. According to SOAR, the following detection techniques may be useful: Highly cost effective: Bytecode Weakness Analysis - including disassembler + source code weakness analysis Binary Weakness Analysis - including disassembler + source code weakness analysis
- Dynamic Analysis with Manual Results Interpretation. According to SOAR, the following detection techniques may be useful: Cost effective for partial coverage: Fuzz Tester Framework-based Fuzzer
- Manual Static Analysis - Source Code. According to SOAR, the following detection techniques may be useful: Cost effective for partial coverage: Manual Source Code Review (not inspections)
- Automated Static Analysis - Source Code. According to SOAR, the following detection techniques may be useful: Highly cost effective: Source code Weakness Analyzer Context-configured Source Code Weakness Analyzer
- Architecture or Design Review. According to SOAR, the following detection techniques may be useful: Highly cost effective: Formal Methods / Correct-By-Construction Cost effective for partial coverage: Inspection (IEEE 1028 standard) (can apply to requirements, design, source code, etc.)
Exploited in the wild: 16 CVEs
Vulnerabilities caused by CWE-190 that attackers have used, from CISA's Known Exploited Vulnerabilities catalog, newest first.
- CVE-2025-48595Android Framework Integer Overflow Vulnerability · added June 2, 2026
- CVE-2021-30952Apple Multiple Products Integer Overflow or Wraparound Vulnerability · added March 5, 2026
- CVE-2026-21385Qualcomm Multiple Chipsets Memory Corruption Vulnerability · added March 3, 2026
- CVE-2018-14634Linux Kernel Integer Overflow Vulnerability · added January 26, 2026
- CVE-2025-24985Microsoft Windows Fast FAT File System Driver Integer Overflow Vulnerability · added March 11, 2025
- CVE-2022-0185Linux Kernel Heap-Based Buffer Overflow Vulnerability · added August 21, 2024
- CVE-2024-38080Microsoft Windows Hyper-V Privilege Escalation Vulnerability · added July 9, 2024
- CVE-2023-33107Qualcomm Multiple Chipsets Integer Overflow Vulnerability · added December 5, 2023
- CVE-2023-6345Google Skia Integer Overflow Vulnerability · added November 30, 2023
- CVE-2023-32434Apple Multiple Products Integer Overflow Vulnerability · added June 23, 2023
- CVE-2023-2136Google Chrome Skia Integer Overflow Vulnerability · added April 21, 2023
- CVE-2023-21823Microsoft Windows Graphic Component Privilege Escalation Vulnerability · added February 14, 2023
- CVE-2018-6065Google Chromium V8 Integer Overflow Vulnerability · added June 8, 2022
- CVE-2016-1010Adobe Flash Player and AIR Integer Overflow Vulnerability · added May 25, 2022
- CVE-2021-30860Apple Multiple Products Integer Overflow Vulnerability · added November 3, 2021
- CVE-2021-30663Apple Multiple Products WebKit Integer Overflow Vulnerability · added November 3, 2021
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