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CWE-20 (输入验证不恰当) — Vulnerability Class 3594

3594 vulnerabilities classified as CWE-20 (输入验证不恰当). AI Chinese analysis included.

CWE-20 represents a critical software weakness where applications fail to properly verify the integrity, format, or type of incoming data before processing it. This oversight allows attackers to inject malicious payloads, such as SQL injection strings or cross-site scripting code, which can bypass security controls and compromise system integrity. Exploitation typically occurs when untrusted data from external sources, like user forms or network packets, is treated as executable code or trusted input. To mitigate this risk, developers must implement rigorous input validation strategies, including strict type checking, length constraints, and allow-listing acceptable characters. Additionally, employing parameterized queries and output encoding ensures that even if validation fails, the injected data remains inert, thereby preserving application security and preventing unauthorized execution or data exposure.

MITRE CWE Description
The product receives input or data, but it does not validate or incorrectly validates that the input has the properties that are required to process the data safely and correctly. Input validation is a frequently-used technique for checking potentially dangerous inputs in order to ensure that the inputs are safe for processing within the code, or when communicating with other components. Input can consist of: raw data - strings, numbers, parameters, file contents, etc. metadata - information about the raw data, such as headers or size Data can be simple or structured. Structured data can be composed of many nested layers, composed of combinations of metadata and raw data, with other simple or structured data. Many properties of raw data or metadata may need to be validated upon entry into the code, such as: specified quantities such as size, length, frequency, price, rate, number of operations, time, etc. implied or derived quantities, such as the actual size of a file instead of a specified size indexes, offsets, or positions into more complex data structures symbolic keys or other elements into hash tables, associative arrays, etc. well-formedness, i.e. syntactic correctness - compliance with expected syntax lexical token correctness - compliance with rules for what is treated as a token specified or derived type - the actual type of the input (or what the input appears to be) consistency - between individual data el…
Common Consequences (3)
AvailabilityDoS: Crash, Exit, or Restart, DoS: Resource Consumption (CPU), DoS: Resource Consumption (Memory)
An attacker could provide unexpected values and cause a program crash or arbitrary control of resource allocation, leading to excessive consumption of resources such as memory and CPU.
ConfidentialityRead Memory, Read Files or Directories
An attacker could read confidential data if they are able to control resource references.
Integrity, Confidentiality, AvailabilityModify Memory, Execute Unauthorized Code or Commands
An attacker could use malicious input to modify data or possibly alter control flow in unexpected ways, including arbitrary command execution.
Mitigations (5)
Architecture and DesignConsider using language-theoretic security (LangSec) techniques that characterize inputs using a formal language and build "recognizers" for that language. This effectively requires parsing to be a distinct layer that effectively enforces a boundary between raw input and internal data representations, instead of allowing parser code to be scattered throughout the program, where it could be subjec…
Architecture and DesignUse an input validation framework such as Struts or the OWASP ESAPI Validation API. Note that using a framework does not automatically address all input validation problems; be mindful of weaknesses that could arise from misusing the framework itself (CWE-1173).
Architecture and Design, ImplementationUnderstand all the potential areas where untrusted inputs can enter the product, including but not limited to: parameters or arguments, cookies, anything read from the network, environment variables, reverse DNS lookups, query results, request headers, URL components, e-mail, files, filenames, databases, and any external systems that provide data to the application. Remember that such inputs may b…
ImplementationAssume 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…
Effectiveness: High
Architecture and DesignFor 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. Even though clien…
Examples (2)
This example demonstrates a shopping interaction in which the user is free to specify the quantity of items to be purchased and a total is calculated.
... public static final double price = 20.00; int quantity = currentUser.getAttribute("quantity"); double total = price * quantity; chargeUser(total); ...
Bad · Java
This example asks the user for a height and width of an m X n game board with a maximum dimension of 100 squares.
... #define MAX_DIM 100 ... /* board dimensions */ int m,n, error; board_square_t *board; printf("Please specify the board height: \n"); error = scanf("%d", &m); if ( EOF == error ){ die("No integer passed: Die evil hacker!\n"); } printf("Please specify the board width: \n"); error = scanf("%d", &n); if ( EOF == error ){ die("No integer passed: Die evil hacker!\n"); } if ( m > MAX_DIM || n > MAX_DIM ) { die("Value too large: Die evil hacker!\n"); } board = (board_square_t*) malloc( m * n * sizeof(board_square_t)); ...
Bad · C
CVE IDTitleCVSSSeverityPublished
CVE-2022-30233 Schneider Electric PowerLogic ION Setup 输入验证错误漏洞 — Wiser Smart 6.5 Medium2022-06-02
CVE-2022-30232 Schneider Electric PowerLogic ION Setup 输入验证错误漏洞 — Power Logic ION Setup 8.0 High2022-06-02
CVE-2022-29169 ReDoS on endpoint html5client/useragent in BigBlueButton — bigbluebutton 7.5 High2022-06-01
CVE-2020-26185 Dell BSAFE Micro Edition Suite 缓冲区错误漏洞 — Dell BSAFE Micro Edition Suite 7.5 High2022-06-01
CVE-2022-29243 Improper input-size validation on the user new session name in Nextcloud Server — security-advisories 4.3 Medium2022-05-31
CVE-2022-20797 Cisco Secure Network Analytics Remote Code Execution Vulnerability — Cisco Stealthwatch Enterprise 5.5 Medium2022-05-27
CVE-2022-24418 Dell BIOS 输入验证错误漏洞 — CPG BIOS 7.5 High2022-05-26
CVE-2022-24417 Dell BIOS 输入验证错误漏洞 — CPG BIOS 7.5 High2022-05-26
CVE-2022-26531 Zyxel USG/ZyWALL 输入验证错误漏洞 — USG/ZyWALL series firmware 6.1 Medium2022-05-24
CVE-2022-29213 Incomplete validation in signal ops leads to crashes in TensorFlow — tensorflow 5.5 Medium2022-05-20
CVE-2022-29211 Segfault in TensorFlow if `tf.histogram_fixed_width` is called with NaN values — tensorflow 5.5 Medium2022-05-20
CVE-2022-29212 Core dump when loading TFLite models with quantization in TensorFlow — tensorflow 5.5 Medium2022-05-20
CVE-2022-29201 Missing validation in `QuantizedConv2D` results in undefined behavior in TensorFlow — tensorflow 5.5 Medium2022-05-20
CVE-2022-29202 Denial of service in TensorFlow due to lack of validation in `tf.ragged.constant` — tensorflow 5.5 Medium2022-05-20
CVE-2022-29206 Missing validation results in undefined behavior in `SparseTensorDenseAdd` in TensorFlow — tensorflow 5.5 Medium2022-05-20
CVE-2022-29207 Undefined behavior when users supply invalid resource handles in TensorFlow — tensorflow 5.5 Medium2022-05-20
CVE-2022-29195 Missing validation causes denial of service in TensorFlow via `StagePeek` — tensorflow 5.5 Medium2022-05-20
CVE-2022-29197 Missing validation causes denial of service in TensorFlow via `UnsortedSegmentJoin` — tensorflow 5.5 Medium2022-05-20
CVE-2022-29196 Missing validation causes denial of service in TensorFlow via `Conv3DBackpropFilterV2` — tensorflow 5.5 Medium2022-05-20
CVE-2022-29198 Missing validation causes denial of service in TensorFlow via `SparseTensorToCSRSparseMatrix` — tensorflow 5.5 Medium2022-05-20
CVE-2022-29199 Missing validation causes denial of service in TensorFlow via `LoadAndRemapMatrix` — tensorflow 5.5 Medium2022-05-20
CVE-2022-29200 Missing validation causes denial of service in TensorFlow via `LSTMBlockCell` — tensorflow 5.5 Medium2022-05-20
CVE-2022-29193 Missing validation causes `TensorSummaryV2` in TensorFlow to crash — tensorflow 5.5 Medium2022-05-20
CVE-2022-29194 Missing validation causes denial of service via `DeleteSessionTensor` in TensorFlow — tensorflow 5.5 Medium2022-05-20
CVE-2022-29191 Missing validation causes denial of service via `GetSessionTensor` in TensorFlow — tensorflow 5.5 Medium2022-05-20
CVE-2022-29192 Missing validation crashes `QuantizeAndDequantizeV4Grad` in TensorFlow — tensorflow 5.5 Medium2022-05-20
CVE-2022-24905 Argo CD login screen allows message spoofing if SSO is enabled — argo-cd 4.3 Medium2022-05-20
CVE-2021-26631 Mangboard parameter modulation vulnerability — Mangboard commerce package 8.0 High2022-05-19
CVE-2021-26630 HANDY Groupware file download and execute vulnerability — HANDY Groupware 7.8 High2022-05-19
CVE-2022-1727 Improper Input Validation in jgraph/drawio — jgraph/drawio 8.8 -2022-05-18

Vulnerabilities classified as CWE-20 (输入验证不恰当) represent 3594 CVEs. The CWE taxonomy describes the weakness; review individual CVEs for product-specific impact.