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.

9196 vulnerabilities reference this CWE, most recent first.

CVE-2017-18113 (GCVE-0-2017-18113)

Vulnerability from cvelistv5 – Published: 2021-08-02 02:35 – Updated: 2024-10-17 16:03
VLAI
Summary
The DefaultOSWorkflowConfigurator class in Jira Server and Jira Data Center before version 8.18.1 allows remote attackers who can trick a system administrator to import their malicious workflow to execute arbitrary code via a Remote Code Execution (RCE) vulnerability. The vulnerability allowed for various problematic OSWorkflow classes to be used as part of workflows. The fix for this issue blocks usage of unsafe conditions, validators, functions and registers that are build-in into OSWorkflow library and other Jira dependencies. Atlassian-made functions or functions provided by 3rd party plugins are not affected by this fix.
Severity
8.8 (High)
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
SSVC
Exploitation: none Automatable: no Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-10-17 15:26 UTC
CWE
  • CWE-94 - Improper Control of Generation of Code ('Code Injection')
Assigner
References
Impacted products
Vendor Product Version
Atlassian Jira Server Affected: unspecified , < 8.18.1 (custom)
Create a notification for this product.
Atlassian Jira Data Center Affected: unspecified , < 8.18.1 (custom)
Create a notification for this product.
atlassian jira_server Affected: 0 , < 8.18.1 (custom)
    cpe:2.3:a:atlassian:jira_server:*:*:*:*:*:*:*:*
Create a notification for this product.
atlassian jira_data_center Affected: 0 , < 8.18.1 (custom)
    cpe:2.3:a:atlassian:jira_data_center:*:*:*:*:*:*:*:*
Create a notification for this product.
Date Public
2021-08-02 00:00
Show details on NVD website
To clipboard 

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CVE-2017-16151 (GCVE-0-2017-16151)

Vulnerability from cvelistv5 – Published: 2018-06-07 02:00 – Updated: 2024-09-16 16:54
VLAI
Summary
Based on details posted by the ElectronJS team; A remote code execution vulnerability has been discovered in Google Chromium that affects all recent versions of Electron. Any Electron app that accesses remote content is vulnerable to this exploit, regardless of whether the [sandbox option](https://electron.atom.io/docs/api/sandbox-option) is enabled.
Severity
No CVSS data available.
CWE
  • CWE-94 - Code Injection (CWE-94)
Assigner
References
Impacted products
Vendor Product Version
HackerOne electron node module Affected: < 1.6.14 || >= 1.7.0 < 1.7.8
Create a notification for this product.
Date Public
2018-04-26 00:00
Show details on NVD website
To clipboard 

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CVE-2017-16100 (GCVE-0-2017-16100)

Vulnerability from cvelistv5 – Published: 2018-06-07 02:00 – Updated: 2024-09-17 02:16
VLAI
Summary
dns-sync is a sync/blocking dns resolver. If untrusted user input is allowed into the resolve() method then command injection is possible.
Severity
No CVSS data available.
CWE
  • CWE-94 - Code Injection (CWE-94)
Assigner
References
Impacted products
Vendor Product Version
HackerOne dns-sync node module Affected: All versions
Create a notification for this product.
Date Public
2018-04-26 00:00
Show details on NVD website
To clipboard 

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CVE-2017-16082 (GCVE-0-2017-16082)

Vulnerability from cvelistv5 – Published: 2018-06-07 02:00 – Updated: 2024-09-17 03:49
VLAI
Summary
A remote code execution vulnerability was found within the pg module when the remote database or query specifies a specially crafted column name. There are 2 likely scenarios in which one would likely be vulnerable. 1) Executing unsafe, user-supplied sql which contains a malicious column name. 2) Connecting to an untrusted database and executing a query which returns results where any of the column names are malicious.
Severity
No CVSS data available.
CWE
  • CWE-94 - Code Injection (CWE-94)
Assigner
References
Impacted products
Vendor Product Version
HackerOne pg node module Affected: < 2.11.2 || >= 3.0.0 < 3.6.4 || >= 4.0.0 < 4.5.7 || >= 5.0.0 < 5.2.1 || >= 6.0.0 < 6.0.5 || >= 6.1.0 < 6.1.6 || >= 6.2.0 < 6.2.5 || >= 6.3.0 < 6.3.3 || >= 6.4.0 < 6.4.2 || >= 7.0.0 < 7.0.2 || >= 7.1.0 < 7.1.2
Create a notification for this product.
Date Public
2018-04-26 00:00
Show details on NVD website
To clipboard 

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CVE-2017-16042 (GCVE-0-2017-16042)

Vulnerability from cvelistv5 – Published: 2018-06-04 19:00 – Updated: 2024-09-16 17:08
VLAI
Summary
Growl adds growl notification support to nodejs. Growl before 1.10.2 does not properly sanitize input before passing it to exec, allowing for arbitrary command execution.
Severity
No CVSS data available.
CWE
  • CWE-94 - Code Injection (CWE-94)
Assigner
References
Impacted products
Date Public
2018-04-26 00:00
Show details on NVD website
To clipboard 

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CVE-2017-16020 (GCVE-0-2017-16020)

Vulnerability from cvelistv5 – Published: 2018-06-04 19:00 – Updated: 2024-09-16 20:06
VLAI
Summary
Summit is a node web framework. When using the PouchDB driver in the module, Summit 0.1.0 and later allows an attacker to execute arbitrary commands via the collection name.
Severity
No CVSS data available.
CWE
  • CWE-94 - Code Injection (CWE-94)
Assigner
References
Impacted products
Date Public
2018-04-26 00:00
Show details on NVD website
To clipboard 

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CVE-2016-15044 (GCVE-0-2016-15044)

Vulnerability from cvelistv5 – Published: 2025-07-23 22:02 – Updated: 2026-07-15 01:23
VLAI
Title
Kaltura < 11.1.0-2 PHP Object Injection RCE
Summary
A remote code execution vulnerability exists in Kaltura versions prior to 11.1.0-2 due to unsafe deserialization of user-controlled data within the keditorservices module. An unauthenticated remote attacker can exploit this issue by sending a specially crafted serialized PHP object in the kdata GET parameter to the redirectWidgetCmd endpoint. Successful exploitation leads to execution of arbitrary PHP code in the context of the web server process.
Severity
9.3 (Critical)
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N
SSVC
Exploitation: poc Automatable: yes Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-07-24 13:17 UTC
CWE
  • CWE-502 - Deserialization of Untrusted Data
  • CWE-94 - Improper Control of Generation of Code ('Code Injection')
Assigner
References
Impacted products
Vendor Product Version
Kaltura Video Platform Affected: 0 , < 11.1.0-2 (semver)
Create a notification for this product.
Date Public
2016-03-15 00:00
Credits
Security-Assessment.com
Show details on NVD website
To clipboard 

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CVE-2016-10548 (GCVE-0-2016-10548)

Vulnerability from cvelistv5 – Published: 2018-05-31 20:00 – Updated: 2024-09-16 20:03
VLAI
Summary
Arbitrary code execution is possible in reduce-css-calc node module <=1.2.4 through crafted css. This makes cross sites scripting (XSS) possible on the client and arbitrary code injection possible on the server and user input is passed to the `calc` function.
Severity
No CVSS data available.
CWE
  • CWE-94 - Code Injection (CWE-94)
Assigner
References
Impacted products
Date Public
2018-04-26 00:00
Show details on NVD website
To clipboard 

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CVE-2016-10546 (GCVE-0-2016-10546)

Vulnerability from cvelistv5 – Published: 2018-05-31 20:00 – Updated: 2024-09-16 17:07
VLAI
Summary
An arbitrary code injection vector was found in PouchDB 6.0.4 and lesser via the map/reduce functions used in PouchDB temporary views and design documents. The code execution engine for this branch is not properly sandboxed and may be used to run arbitrary JavaScript as well as system commands.
Severity
No CVSS data available.
CWE
  • CWE-94 - Code Injection (CWE-94)
Assigner
References
URL Tags
https://nodesecurity.io/advisories/143 x_refsource_MISC
Impacted products
Date Public
2018-04-26 00:00
Show details on NVD website
To clipboard 

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CVE-2016-5402 (GCVE-0-2016-5402)

Vulnerability from cvelistv5 – Published: 2018-10-31 13:00 – Updated: 2024-08-06 01:00
VLAI
Summary
A code injection flaw was found in the way capacity and utilization imported control files are processed. A remote, authenticated attacker with access to the capacity and utilization feature could use this flaw to execute arbitrary code as the user CFME runs as.
Severity
8.8 (High)
CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
CWE
Assigner
References
URL Tags
https://bugzilla.redhat.com/show_bug.cgi?id=CVE-2… x_refsource_CONFIRM
http://www.securityfocus.com/bid/94612 vdb-entryx_refsource_BID
http://rhn.redhat.com/errata/RHSA-2016-2839.html vendor-advisoryx_refsource_REDHAT
Impacted products
Vendor Product Version
[UNKNOWN] cfme Affected: n/a
Create a notification for this product.
Date Public
2016-11-30 00:00
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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