Common Weakness Enumeration

CWE-94

Allowed-with-Review

Improper Control of Generation of Code ('Code Injection')

Abstraction: Base · Status: Draft

API response cwe.mitre.org

The product constructs all or part of a code segment using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the syntax or behavior of the intended code segment.

8319 vulnerabilities reference this CWE, most recent first.

CVE-2020-11057 (GCVE-0-2020-11057)

Vulnerability from cvelistv5 – Published: 2020-05-12 20:55 – Updated: 2024-08-04 11:21
VLAI
Title
Code Injection in XWiki Platform
Summary
In XWiki Platform 7.2 through 11.10.2, registered users without scripting/programming permissions are able to execute python/groovy scripts while editing personal dashboards. This has been fixed 11.3.7 , 11.10.3 and 12.0.
Severity
9.9 (Critical)
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:L
CWE
  • CWE-94 - Improper Control of Generation of Code ('Code Injection')
Assigner
References
Impacted products
Vendor Product Version
xwiki XWiki Platform Affected: >= 7.2, < 11.10.3
Create a notification for this product.
Show details on NVD website
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CVE-2020-11056 (GCVE-0-2020-11056)

Vulnerability from cvelistv5 – Published: 2020-05-07 20:50 – Updated: 2024-08-04 11:21
VLAI
Title
Potential Code Injection in Sprout Forms
Summary
In Sprout Forms before 3.9.0, there is a potential Server-Side Template Injection vulnerability when using custom fields in Notification Emails which could lead to the execution of Twig code. This has been fixed in 3.9.0.
Severity
7.4 (High)
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:L/I:L/A:L
CWE
  • CWE-94 - Improper Control of Generation of Code ('Code Injection')
Assigner
References
Impacted products
Show details on NVD website
To clipboard 

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CVE-2020-10684 (GCVE-0-2020-10684)

Vulnerability from cvelistv5 – Published: 2020-03-24 00:00 – Updated: 2024-08-04 11:06
VLAI
Summary
A flaw was found in Ansible Engine, all versions 2.7.x, 2.8.x and 2.9.x prior to 2.7.17, 2.8.9 and 2.9.6 respectively, when using ansible_facts as a subkey of itself and promoting it to a variable when inject is enabled, overwriting the ansible_facts after the clean. An attacker could take advantage of this by altering the ansible_facts, such as ansible_hosts, users and any other key data which would lead into privilege escalation or code injection.
Severity
7.9 (High)
CVSS:3.1/AV:L/AC:L/PR:L/UI:R/S:C/C:N/I:H/A:H
CWE
Assigner
References
Impacted products
Vendor Product Version
Red Hat Ansible Affected: all Ansible 2.7.x versions prior to 2.7.17
Affected: all Ansible 2.8.x versions prior to 2.8.9
Affected: all Ansible 2.9.x versions prior to 2.9.6
Create a notification for this product.
Show details on NVD website
To clipboard 

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CVE-2020-10055 (GCVE-0-2020-10055)

Vulnerability from cvelistv5 – Published: 2020-08-14 15:24 – Updated: 2024-08-04 10:50
VLAI
Summary
A vulnerability has been identified in Desigo CC (V4.x), Desigo CC (V3.x), Desigo CC Compact (V4.x), Desigo CC Compact (V3.x). Affected applications are delivered with a 3rd party component (BIRT) that contains a remote code execution vulnerability if the Advanced Reporting Engine is enabled. The vulnerability could allow a remote unauthenticated attacker to execute arbitrary commands on the server with SYSTEM privileges.
Severity
No CVSS data available.
CWE
  • CWE-94 - Improper Control of Generation of Code ('Code Injection')
Assigner
References
Impacted products
Show details on NVD website
To clipboard 

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CVE-2020-8274 (GCVE-0-2020-8274)

Vulnerability from cvelistv5 – Published: 2021-01-06 20:59 – Updated: 2024-08-04 09:56
VLAI
Summary
Citrix Secure Mail for Android before 20.11.0 suffers from Improper Control of Generation of Code ('Code Injection') by allowing unauthenticated access to read data stored within Secure Mail. Note that a malicious app would need to be installed on the Android device or a threat actor would need to execute arbitrary code on the Android device.
Severity
No CVSS data available.
CWE
  • CWE-94 - Code Injection (CWE-94)
Assigner
References
Impacted products
Vendor Product Version
n/a Citrix Secure Mail for Android Affected: Fixed in 20.11.0
Show details on NVD website
To clipboard 

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CVE-2020-8243 (GCVE-0-2020-8243)

Vulnerability from cvelistv5 – Published: 2020-09-29 13:44 – Updated: 2025-10-21 23:35
VLAI
Summary
A vulnerability in the Pulse Connect Secure < 9.1R8.2 admin web interface could allow an authenticated attacker to upload custom template to perform an arbitrary code execution.
Severity
7.2 (High)
CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:H/A:H
SSVC
Exploitation: active Automatable: no Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
  • CWE-94 - Code Injection (CWE-94)
Assigner
References
Impacted products
Vendor Product Version
n/a Pulse Connect Secre Affected: Fixed in 9.1R8.2
Show details on NVD website
To clipboard 

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CVE-2020-8224 (GCVE-0-2020-8224)

Vulnerability from cvelistv5 – Published: 2020-08-10 13:35 – Updated: 2024-08-04 09:56
VLAI
Summary
A code injection in Nextcloud Desktop Client 2.6.4 allowed to load arbitrary code when placing a malicious OpenSSL config into a fixed directory.
Severity
No CVSS data available.
CWE
  • CWE-94 - Code Injection (CWE-94)
Assigner
References
Impacted products
Vendor Product Version
n/a Desktop Client Affected: Fixed in 2.6.5
Show details on NVD website
To clipboard 

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CVE-2020-8218 (GCVE-0-2020-8218)

Vulnerability from cvelistv5 – Published: 2020-07-30 12:53 – Updated: 2025-10-21 23:35
VLAI
Summary
A code injection vulnerability exists in Pulse Connect Secure <9.1R8 that allows an attacker to crafted a URI to perform an arbitrary code execution via the admin web interface.
Severity
7.2 (High)
CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:H/A:H
SSVC
Exploitation: active Automatable: no Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
  • CWE-94 - Code Injection (CWE-94)
Assigner
References
Impacted products
Vendor Product Version
n/a Pulse Connect Secure Affected: Fixed in 9.1R8
Show details on NVD website
To clipboard 

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CVE-2020-8194 (GCVE-0-2020-8194)

Vulnerability from cvelistv5 – Published: 2020-07-10 15:38 – Updated: 2024-08-04 09:56
VLAI
Summary
Reflected code injection in Citrix ADC and Citrix Gateway versions before 13.0-58.30, 12.1-57.18, 12.0-63.21, 11.1-64.14 and 10.5-70.18 and Citrix SDWAN WAN-OP versions before 11.1.1a, 11.0.3d and 10.2.7 allows the modification of a file download.
Severity
No CVSS data available.
CWE
  • CWE-94 - Code Injection (CWE-94)
Assigner
References
Impacted products
Vendor Product Version
n/a Citrix ADC, Citrix Gateway, Citrix SDWAN WAN-OP Affected: Citrix ADC and Citrix Gateway 13.0-58.30, 12.1-57.18, 12.0-63.21, 11.1-64.14 and 10.5-70.18 and Citrix SDWAN WAN-OP 11.1.1a, 11.0.3d and 10.2.7
Show details on NVD website
To clipboard 

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CVE-2020-8180 (GCVE-0-2020-8180)

Vulnerability from cvelistv5 – Published: 2020-06-08 13:08 – Updated: 2024-08-04 09:56
VLAI
Summary
A too lax check in Nextcloud Talk 6.0.4, 7.0.2 and 8.0.7 allowed a code injection when a not correctly sanitized talk command was added by an administrator.
Severity
No CVSS data available.
CWE
  • CWE-94 - Code Injection (CWE-94)
Assigner
References
Impacted products
Vendor Product Version
n/a Nextcloud Talk Affected: Fixed in >= 8.0.8
Show details on NVD website
To clipboard 

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Mitigation
Architecture and Design

Strategy: Refactoring

Refactor your program so that you do not have to dynamically generate code.

Mitigation
Architecture and Design
  • Run your code in a "jail" or similar sandbox environment that enforces strict boundaries between the process and the operating system. This may effectively restrict which code can be executed by your product.
  • Examples include the Unix chroot jail and AppArmor. In general, managed code may provide some protection.
  • This may not be a feasible solution, and it only limits the impact to the operating system; the rest of your application may still be subject to compromise.
  • Be careful to avoid CWE-243 and other weaknesses related to jails.
Mitigation MIT-5
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.
  • To reduce the likelihood of code injection, use stringent allowlists that limit which constructs are allowed. If you are dynamically constructing code that invokes a function, then verifying that the input is alphanumeric might be insufficient. An attacker might still be able to reference a dangerous function that you did not intend to allow, such as system(), exec(), or exit().
Mitigation
Testing

Use dynamic tools and techniques that interact with the product using large test suites with many diverse inputs, such as fuzz testing (fuzzing), robustness testing, and fault injection. The product's operation may slow down, but it should not become unstable, crash, or generate incorrect results.

Mitigation MIT-32
Operation

Strategy: Compilation or Build Hardening

Run the code in an environment that performs automatic taint propagation and prevents any command execution that uses tainted variables, such as Perl's "-T" switch. This will force the program to perform validation steps that remove the taint, although you must be careful to correctly validate your inputs so that you do not accidentally mark dangerous inputs as untainted (see CWE-183 and CWE-184).

Mitigation MIT-32
Operation

Strategy: Environment Hardening

Run the code in an environment that performs automatic taint propagation and prevents any command execution that uses tainted variables, such as Perl's "-T" switch. This will force the program to perform validation steps that remove the taint, although you must be careful to correctly validate your inputs so that you do not accidentally mark dangerous inputs as untainted (see CWE-183 and CWE-184).

Mitigation
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].

CAPEC-242: Code Injection

An adversary exploits a weakness in input validation on the target to inject new code into that which is currently executing. This differs from code inclusion in that code inclusion involves the addition or replacement of a reference to a code file, which is subsequently loaded by the target and used as part of the code of some application.

CAPEC-35: Leverage Executable Code in Non-Executable Files

An attack of this type exploits a system's trust in configuration and resource files. When the executable loads the resource (such as an image file or configuration file) the attacker has modified the file to either execute malicious code directly or manipulate the target process (e.g. application server) to execute based on the malicious configuration parameters. Since systems are increasingly interrelated mashing up resources from local and remote sources the possibility of this attack occurring is high.

CAPEC-77: Manipulating User-Controlled Variables

This attack targets user controlled variables (DEBUG=1, PHP Globals, and So Forth). An adversary can override variables leveraging user-supplied, untrusted query variables directly used on the application server without any data sanitization. In extreme cases, the adversary can change variables controlling the business logic of the application. For instance, in languages like PHP, a number of poorly set default configurations may allow the user to override variables.

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