CWE-943: Improper Neutralization of Special Elements in Data Query Logic

What is CWE-943?

CWE-943 is Improper Neutralization of Special Elements in Data Query Logic. The flaw arises when the product generates a query intended to access or manipulate data in a data store such as a database, but it does not neutralize or incorrectly neutralizes special elements that can modify the intended logic of the query. The database currently holds 118 vulnerabilities mapped to CWE-943 and none of them are in the CISA Known Exploited Vulnerabilities catalog.

OWASP Top 10 Rank-
Related CVES (365 days)118
AbstractionClass
Likelihood of exploit-

Vulnerabilities mapped to CWE-943

118 vulnerabilities2260% increase year over year

No data

No vulnerability data in CISA KEV for CWE-943

Official definition

ByMitre CWE

The product generates a query intended to access or manipulate data in a data store such as a database, but it does not neutralize or incorrectly neutralizes special elements that can modify the intended logic of the query.

Depending on the capabilities of the query language, an attacker could inject additional logic into the query to:

  • Modify the intended selection criteria, thus changing which data entities (e.g., records) are returned, modified, or otherwise manipulated

  • Append additional commands to the query

  • Return more entities than intended

  • Return fewer entities than intended

  • Cause entities to be sorted in an unexpected way

The ability to execute additional commands or change which entities are returned has obvious risks. But when the product logic depends on the order or number of entities, this can also lead to vulnerabilities. For example, if the query expects to return only one entity that specifies an administrative user, but an attacker can change which entities are returned, this could cause the logic to return information for a regular user and incorrectly assume that the user has administrative privileges.

While this weakness is most commonly associated with SQL injection, there are many other query languages that are also subject to injection attacks, including HTSQL, LDAP, DQL, XQuery, Xpath, and "NoSQL" languages.

Characteristics

Alternate terms

  • NoSQL Injection, NoSQLi — Injection of data query language into NoSQL databases such as Cassandra, ElasticSearch, MongoDB, Redis, and others

Modes of introduction

  • Implementation: REALIZATION: This weakness is caused during implementation of an architectural security tactic.

Common consequences

ImpactScopeExplanation
Bypass Protection Mechanism, Read Application Data, Modify Application Data, Varies by ContextConfidentiality, Integrity, Availability, Access Control-

Detection methods

MethodApproachEffectiveness
Automated Static AnalysisAutomated 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.)High

Representative vulnerabilities

Sources (2)

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