CWE-96: Improper Neutralization of Directives in Statically Saved Code ('Static Code Injection')

What is CWE-96?

CWE-96 is Improper Neutralization of Directives in Statically Saved Code ('Static Code Injection'). The flaw arises when the product receives input from an upstream component, but it does not neutralize or incorrectly neutralizes code syntax before inserting the input into an executable resource, such as a library, configuration file, or template. The database currently holds 4 vulnerabilities mapped to CWE-96 and 1 of them are in the CISA Known Exploited Vulnerabilities catalog.

Analyzing data...

OWASP TOP 10:2025 RANK5 — A05:2025 — Injection
Related CVES (365 days)4
AbstractionBase
Likelihood of exploit-

Vulnerabilities mapped to CWE-96

4 vulnerabilitiesNo change year over year

Vulnerabilities in CISA KEV for CWE-96

1 vulnerabilities

Official definition

ByMitre CWE

The product receives input from an upstream component, but it does not neutralize or incorrectly neutralizes code syntax before inserting the input into an executable resource, such as a library, configuration file, or template.

Characteristics

Modes of introduction

  • Implementation: REALIZATION: This weakness is caused during implementation of an architectural security tactic.
  • Implementation: This issue is frequently found in PHP applications that allow users to set configuration variables that are stored within executable PHP files. Technically, this could also be performed in some compiled code (e.g., by byte-patching an executable), although it is highly unlikely.

Common consequences

ImpactScopeExplanation
Read Files or Directories, Read Application DataConfidentialityThe injected code could access restricted data / files.
Bypass Protection MechanismAccess ControlIn some cases, injectable code controls authentication; this may lead to a remote vulnerability.
Gain Privileges or Assume IdentityAccess ControlInjected code can access resources that the attacker is directly prevented from accessing.
Execute Unauthorized Code or CommandsIntegrity, Confidentiality, Availability, OtherCode injection attacks can lead to loss of data integrity in nearly all cases as the control-plane data injected is always incidental to data recall or writing. Additionally, code injection can often result in the execution of arbitrary code.
Hide ActivitiesNon-RepudiationOften the actions performed by injected control code are unlogged.

Risk mitigations

  1. Input Validation · 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 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.
  2. Output Encoding · ImplementationPerform proper output validation and escaping to neutralize all code syntax from data written to code files.

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.)-

Representative vulnerabilities

Sources (2)

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