| Impact | Details |
|---|---|
|
Read Files or Directories; Read Application Data |
Scope: Confidentiality
The injected code could access restricted data / files.
|
|
Bypass Protection Mechanism |
Scope: Access Control
In some cases, injectable code controls authentication; this may lead to a remote vulnerability.
|
|
Gain Privileges or Assume Identity |
Scope: Access Control
Injected code can access resources that the attacker is directly prevented from accessing.
|
|
Execute Unauthorized Code or Commands |
Scope: Integrity, Confidentiality, Availability, Other
Code 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 or at least modify what code can be executed.
|
|
Hide Activities |
Scope: Non-Repudiation
Often the actions performed by injected control code are unlogged.
|
| Phase(s) | Mitigation |
|---|---|
|
Architecture and Design; Implementation |
If possible, refactor your code so that it does not need to use eval() at all.
|
|
Implementation |
Strategy: Input Validation Assume 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. |
|
Implementation |
Inputs should be decoded and canonicalized to the application's current internal representation before being validated (CWE-180, CWE-181). Make sure that your application does not inadvertently decode the same input twice (CWE-174). Such errors could be used to bypass allowlist schemes by introducing dangerous inputs after they have been checked. Use libraries such as the OWASP ESAPI Canonicalization control. Consider performing repeated canonicalization until your input does not change any more. This will avoid double-decoding and similar scenarios, but it might inadvertently modify inputs that are allowed to contain properly-encoded dangerous content. |
|
Implementation |
For Python programs, it is frequently encouraged to use the ast.literal_eval() function instead of eval, since it is intentionally designed to avoid executing code. However, an adversary could still cause excessive memory or stack consumption via deeply nested structures [REF-1372], so the python documentation discourages use of ast.literal_eval() on untrusted data [REF-1373]. Effectiveness: Discouraged Common Practice |
| Nature | Type | ID | Name |
|---|---|---|---|
| ChildOf | Base Base - a weakness that is still mostly independent of a resource or technology, but with sufficient details to provide specific methods for detection and prevention. Base level weaknesses typically describe issues in terms of 2 or 3 of the following dimensions: behavior, property, technology, language, and resource. | 94 | Improper Control of Generation of Code ('Code Injection') |
| Nature | Type | ID | Name |
|---|---|---|---|
| MemberOf | Category Category - a CWE entry that contains a set of other entries that share a common characteristic. | 1019 | Validate Inputs |
| Phase | Note |
|---|---|
| Implementation | REALIZATION: This weakness is caused during implementation of an architectural security tactic. |
| Implementation | This weakness is prevalent in handler/dispatch procedures that might want to invoke a large number of functions, or set a large number of variables. |
Java (Undetermined Prevalence)
JavaScript (Undetermined Prevalence)
Python (Undetermined Prevalence)
Perl (Undetermined Prevalence)
PHP (Undetermined Prevalence)
Ruby (Undetermined Prevalence)
Class: Interpreted (Undetermined Prevalence)
AI/ML (Undetermined Prevalence)
Example 1
edit-config.pl: This CGI script is used to modify settings in a configuration file.
The script intends to take the 'action' parameter and invoke one of a variety of functions based on the value of that parameter - config_file_add_key(), config_file_set_key(), or config_file_delete_key(). It could set up a conditional to invoke each function separately, but eval() is a powerful way of doing the same thing in fewer lines of code, especially when a large number of functions or variables are involved. Unfortunately, in this case, the attacker can provide other values in the action parameter, such as:
This would produce the following string in handleConfigAction():
Any arbitrary Perl code could be added after the attacker has "closed off" the construction of the original function call, in order to prevent parsing errors from causing the malicious eval() to fail before the attacker's payload is activated. This particular manipulation would fail after the system() call, because the "_key(\$fname, \$key, \$val)" portion of the string would cause an error, but this is irrelevant to the attack because the payload has already been activated.
Example 2
This simple script asks a user to supply a list of numbers as input and adds them together.
The eval() function can take the user-supplied list and convert it into a Python list object, therefore allowing the programmer to use list comprehension methods to work with the data. However, if code is supplied to the eval() function, it will execute that code. For example, a malicious user could supply the following string:
This would delete all the files in the current directory. For this reason, it is not recommended to use eval() with untrusted input.
A way to accomplish this without the use of eval() is to apply an integer conversion on the input within a try/except block. If the user-supplied input is not numeric, this will raise a ValueError. By avoiding eval(), there is no opportunity for the input string to be executed as code.
An alternative, commonly-cited mitigation for this kind of weakness is to use the ast.literal_eval() function, since it is intentionally designed to avoid executing code. However, an adversary could still cause excessive memory or stack consumption via deeply nested structures [REF-1372], so the python documentation discourages use of ast.literal_eval() on untrusted data [REF-1373].
Note: this is a curated list of examples for users to understand the variety of ways in which this weakness can be introduced. It is not a complete list of all CVEs that are related to this CWE entry.
| Reference | Description |
|---|---|
|
Framework for LLM applications allows eval injection via a crafted response from a hosting provider.
|
|
|
Python compiler uses eval() to execute malicious strings as Python code.
|
|
|
Eval injection in PHP program.
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|
|
Eval injection in Perl program.
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|
|
Eval injection in Perl program using an ID that should only contain hyphens and numbers.
|
|
|
Direct code injection into Perl eval function.
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|
Eval injection in Perl program.
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|
Direct code injection into Perl eval function.
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|
Direct code injection into Perl eval function.
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|
MFV. code injection into PHP eval statement using nested constructs that should not be nested.
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MFV. code injection into PHP eval statement using nested constructs that should not be nested.
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Code injection into Python eval statement from a field in a formatted file.
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Eval injection in Python program.
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|
|
chain: Resultant eval injection. An invalid value prevents initialization of variables, which can be modified by attacker and later injected into PHP eval statement.
|
|
|
Chain: Execution after redirect triggers eval injection.
|
| Ordinality | Description |
|---|---|
|
Primary
|
(where the weakness exists independent of other weaknesses)
|
| Method | Details |
|---|---|
|
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.)
Effectiveness: High |
| Nature | Type | ID | Name |
|---|---|---|---|
| MemberOf | CategoryCategory - a CWE entry that contains a set of other entries that share a common characteristic. | 714 | OWASP Top Ten 2007 Category A3 - Malicious File Execution |
| MemberOf | CategoryCategory - a CWE entry that contains a set of other entries that share a common characteristic. | 727 | OWASP Top Ten 2004 Category A6 - Injection Flaws |
| MemberOf | ViewView - a subset of CWE entries that provides a way of examining CWE content. The two main view structures are Slices (flat lists) and Graphs (containing relationships between entries). | 884 | CWE Cross-section |
| MemberOf | CategoryCategory - a CWE entry that contains a set of other entries that share a common characteristic. | 990 | SFP Secondary Cluster: Tainted Input to Command |
| MemberOf | CategoryCategory - a CWE entry that contains a set of other entries that share a common characteristic. | 1179 | SEI CERT Perl Coding Standard - Guidelines 01. Input Validation and Data Sanitization (IDS) |
| MemberOf | CategoryCategory - a CWE entry that contains a set of other entries that share a common characteristic. | 1347 | OWASP Top Ten 2021 Category A03:2021 - Injection |
| MemberOf | CategoryCategory - a CWE entry that contains a set of other entries that share a common characteristic. | 1409 | Comprehensive Categorization: Injection |
Rationale
This CWE entry is at the Variant level of abstraction, which is a preferred level of abstraction for mapping to the root causes of vulnerabilities.Comments
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.Other
| Mapped Taxonomy Name | Node ID | Fit | Mapped Node Name |
|---|---|---|---|
| PLOVER | Direct Dynamic Code Evaluation ('Eval Injection') | ||
| OWASP Top Ten 2007 | A3 | CWE More Specific | Malicious File Execution |
| OWASP Top Ten 2004 | A6 | CWE More Specific | Injection Flaws |
| Software Fault Patterns | SFP24 | Tainted input to command | |
| SEI CERT Perl Coding Standard | IDS35-PL | Exact | Do not invoke the eval form with a string argument |
| CAPEC-ID | Attack Pattern Name |
|---|---|
| CAPEC-35 | Leverage Executable Code in Non-Executable Files |
| Submissions | |||
|---|---|---|---|
| Submission Date | Submitter | Organization | |
|
2006年07月19日
(CWE Draft 3, 2006年07月19日) |
PLOVER | ||
| Modifications | |||
| Modification Date | Modifier | Organization | |
|
2025年04月03日
(CWE 4.17, 2025年04月03日) |
CWE Content Team | MITRE | |
| updated Common_Consequences, Description, Diagram | |||
|
2024年07月16日
(CWE 4.15, 2024年07月16日) |
CWE Content Team | MITRE | |
| updated Applicable_Platforms, Observed_Examples | |||
|
2024年02月29日
(CWE 4.14, 2024年02月29日) |
CWE Content Team | MITRE | |
| updated Demonstrative_Examples, Potential_Mitigations, References | |||
| 2023年06月29日 | CWE Content Team | MITRE | |
| updated Mapping_Notes | |||
| 2023年04月27日 | CWE Content Team | MITRE | |
| updated Demonstrative_Examples, Detection_Factors, Relationships, Time_of_Introduction | |||
| 2023年01月31日 | CWE Content Team | MITRE | |
| updated Demonstrative_Examples, Description | |||
| 2022年10月13日 | CWE Content Team | MITRE | |
| updated Observed_Examples | |||
| 2022年06月28日 | CWE Content Team | MITRE | |
| updated Observed_Examples | |||
| 2022年04月28日 | CWE Content Team | MITRE | |
| updated Research_Gaps | |||
| 2021年10月28日 | CWE Content Team | MITRE | |
| updated Relationships | |||
| 2021年03月15日 | CWE Content Team | MITRE | |
| updated Relationships | |||
| 2020年06月25日 | CWE Content Team | MITRE | |
| updated Potential_Mitigations | |||
| 2020年02月24日 | CWE Content Team | MITRE | |
| updated Potential_Mitigations, Relationships | |||
| 2019年06月20日 | CWE Content Team | MITRE | |
| updated Type | |||
| 2019年01月03日 | CWE Content Team | MITRE | |
| updated Taxonomy_Mappings | |||
| 2017年11月08日 | CWE Content Team | MITRE | |
| updated Causal_Nature, Modes_of_Introduction, References, Relationships, Taxonomy_Mappings | |||
| 2014年07月30日 | CWE Content Team | MITRE | |
| updated Relationships, Taxonomy_Mappings | |||
| 2013年02月21日 | CWE Content Team | MITRE | |
| updated Observed_Examples | |||
| 2012年10月30日 | CWE Content Team | MITRE | |
| updated Potential_Mitigations | |||
| 2012年05月11日 | CWE Content Team | MITRE | |
| updated Common_Consequences, Demonstrative_Examples, References, Relationships | |||
| 2011年06月01日 | CWE Content Team | MITRE | |
| updated Common_Consequences | |||
| 2010年06月21日 | CWE Content Team | MITRE | |
| updated Description, Name | |||
| 2010年02月16日 | CWE Content Team | MITRE | |
| updated Potential_Mitigations | |||
| 2009年05月27日 | CWE Content Team | MITRE | |
| updated Alternate_Terms, Applicable_Platforms, Demonstrative_Examples, Description, Name, References | |||
| 2009年01月12日 | CWE Content Team | MITRE | |
| updated Description, Observed_Examples, Other_Notes, Research_Gaps | |||
| 2008年09月08日 | CWE Content Team | MITRE | |
| updated Applicable_Platforms, Description, Modes_of_Introduction, Relationships, Other_Notes, Taxonomy_Mappings, Weakness_Ordinalities | |||
| 2008年08月15日 | Veracode | ||
| Suggested OWASP Top Ten 2004 mapping | |||
| 2008年07月01日 | Eric Dalci | Cigital | |
| updated Time_of_Introduction | |||
| Previous Entry Names | |||
| Change Date | Previous Entry Name | ||
| 2008年04月11日 | Direct Dynamic Code Evaluation ('Eval Injection') | ||
| 2009年05月27日 | Insufficient Control of Directives in Dynamically Evaluated Code (aka 'Eval Injection') | ||
| 2010年06月21日 | Improper Sanitization of Directives in Dynamically Evaluated Code ('Eval Injection') | ||
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