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CWE-233 詳細

CWE-233

Improper Handling of Parameters
2006-07-19
00h00 +00:00
Incomplete
2025-12-11
00h00 +00:00
CWE Mitre.org
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名前: Improper Handling of Parameters

The product does not properly handle when the expected number of parameters, fields, or arguments is not provided in input, or if those parameters are undefined.

一般情報

導入モード

Implementation

適用可能なプラットフォーム

言語

クラス： Not Language-Specific (Undetermined)

一般的な結果

スコープ 影響 可能性
IntegrityUnexpected State

検出方法

Fuzzing

Fuzz 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.
有効性 : High

Automated Static Analysis

Automated static analysis, commonly referred to as Static Application Security Testing (SAST), can find some instances of this weakness by analyzing source code (or binary/compiled code) without having to execute it. Typically, this is done by building a model of data flow and control flow, then searching for potentially-vulnerable patterns that connect "sources" (origins of input) with "sinks" (destinations where the data interacts with external components, a lower layer such as the OS, etc.)
有効性 : High

脆弱性マッピングノート

理由 : This CWE entry is at the Base level of abstraction, which is a preferred level of abstraction for mapping to the root causes of vulnerabilities.
コメント : Carefully read both the name and description to ensure that this mapping is an appropriate fit. Do not try to 'force' a mapping to a lower-level Base/Variant simply to comply with this preferred level of abstraction.

関連する攻撃パターン

CAPEC ID 攻撃パターン名
CAPEC-39 Manipulating Opaque Client-based Data Tokens
In circumstances where an application holds important data client-side in tokens (cookies, URLs, data files, and so forth) that data can be manipulated. If client or server-side application components reinterpret that data as authentication tokens or data (such as store item pricing or wallet information) then even opaquely manipulating that data may bear fruit for an Attacker. In this pattern an attacker undermines the assumption that client side tokens have been adequately protected from tampering through use of encryption or obfuscation.

登録情報

名前 組織 日付 リリース日 Version
PLOVER 2006-07-19 +00:00 2006-07-19 +00:00 Draft 3

変更履歴

名前 組織 日付 コメント
Eric Dalci Cigital 2008-07-01 +00:00 updated Time_of_Introduction
CWE Content Team MITRE 2008-09-08 +00:00 updated Relationships, Taxonomy_Mappings
CWE Content Team MITRE 2011-06-01 +00:00 updated Common_Consequences
CWE Content Team MITRE 2011-06-27 +00:00 updated Common_Consequences
CWE Content Team MITRE 2012-05-11 +00:00 updated Relationships
CWE Content Team MITRE 2013-07-17 +00:00 updated Description, Name, Type
CWE Content Team MITRE 2014-02-18 +00:00 updated Demonstrative_Examples
CWE Content Team MITRE 2014-07-30 +00:00 updated Relationships
CWE Content Team MITRE 2020-02-24 +00:00 updated Relationships
CWE Content Team MITRE 2021-03-15 +00:00 updated Demonstrative_Examples
CWE Content Team MITRE 2023-01-31 +00:00 updated Description
CWE Content Team MITRE 2023-04-27 +00:00 updated Detection_Factors, Relationships, Time_of_Introduction
CWE Content Team MITRE 2023-06-29 +00:00 updated Mapping_Notes
CWE Content Team MITRE 2025-12-11 +00:00 updated Applicable_Platforms, Weakness_Ordinalities
CVE Findに掲載されている情報は、慎重に選定された複数の参照ソースから取得されています。CVEデータはMITRE Corporationおよび国家脆弱性データベース（NVD）が提供しています。既知の悪用された脆弱性（KEV）カタログはサイバーセキュリティ・インフラセキュリティ庁（CISA）から、EPSSスコアはFIRST.orgから取得しています。また、ソフトウェアの弱点（CWE）および共通攻撃パターン（CAPEC）に関するデータはMITRE Corporationが管理し、ハードウェアおよびソフトウェア構成（CPE）に関する情報はNVDが提供しています。