Common Weakness Enumeration

CWE-94

Allowed-with-Review

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

Abstraction: Base · Status: Draft

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.

8340 vulnerabilities reference this CWE, most recent first.

CVE-2025-62348 (GCVE-0-2025-62348)

Vulnerability from cvelistv5 – Published: 2026-01-30 18:57 – Updated: 2026-02-26 15:04
VLAI
Title
Salt junos module uses an unsafe YAML loader which may allow unintended code execution
Summary
Salt's junos execution module contained an unsafe YAML decode/load usage. A specially crafted YAML payload processed by the junos module could lead to unintended code execution under the context of the Salt process.
SSVC
Exploitation: none Automatable: no Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
  • CWE-94 - Improper Control of Generation of Code ('Code Injection')
Assigner
References
URL Tags
https://docs.saltproject.io/en/latest/topics/rele… release-notesvendor-advisory
Impacted products
Vendor Product Version
Salt Project Salt Affected: 3006.0 , < 3006.17 (semver)
Create a notification for this product.
Salt Project Salt Affected: 3007.0 , < 3007.9 (semver)
Create a notification for this product.
Date Public
2025-11-20 05:00
Credits
Amr Kadry
Show details on NVD website

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CVE-2025-62023 (GCVE-0-2025-62023)

Vulnerability from cvelistv5 – Published: 2025-10-22 14:32 – Updated: 2026-04-28 18:48
VLAI
Title
WordPress s2Member plugin <= 250905 - Remote Code Execution (RCE) vulnerability
Summary
Improper Control of Generation of Code ('Code Injection') vulnerability in Cristián Lávaque s2Member s2member.This issue affects s2Member: from n/a through <= 250905.
SSVC
Exploitation: none Automatable: no Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
  • CWE-94 - Improper Control of Generation of Code ('Code Injection')
Assigner
References
Impacted products
Vendor Product Version
Cristián Lávaque s2Member Affected: 0 , ≤ 250905 (custom)
Create a notification for this product.
Date Public
2026-04-22 14:25
Credits
mcdruid | Patchstack Bug Bounty Program
Show details on NVD website

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CVE-2025-61982 (GCVE-0-2025-61982)

Vulnerability from cvelistv5 – Published: 2026-02-18 14:38 – Updated: 2026-02-18 15:17
VLAI
Summary
An arbitrary code execution vulnerability exists in the Code Stream directive functionality of OpenCFD OpenFOAM 2506. A specially crafted OpenFOAM simulation file can lead to arbitrary code execution. An attacker can provide a malicious file to trigger this vulnerability.
SSVC
Exploitation: none Automatable: no Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
  • CWE-94 - Improper Control of Generation of Code ('Code Injection')
Assigner
Impacted products
Vendor Product Version
OpenCFD OpenFOAM Affected: 2506
Create a notification for this product.
Credits
Discovered by Dimitrios Tatsis of Cisco Talos.
Show details on NVD website

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CVE-2025-61937 (GCVE-0-2025-61937)

Vulnerability from cvelistv5 – Published: 2026-01-16 00:04 – Updated: 2026-01-16 15:10
VLAI
Title
AVEVA Process Optimization Code Injection
Summary
The vulnerability, if exploited, could allow an unauthenticated miscreant to achieve remote code execution under OS system privileges of “taoimr” service, potentially resulting in complete compromise of the  model application server.
SSVC
Exploitation: none Automatable: yes Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
Assigner
Impacted products
Vendor Product Version
AVEVA Process Optimization Affected: 0 , ≤ 2024.1 (custom)
Create a notification for this product.
Credits
Christopher Wu of Veracode reported these vulnerabilities to AVEVA.
Show details on NVD website

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CVE-2025-61929 (GCVE-0-2025-61929)

Vulnerability from cvelistv5 – Published: 2025-10-10 19:50 – Updated: 2025-10-10 20:46
VLAI
Title
Cherry Studio allows one-click on a specific URL to cause a command to execute
Summary
Cherry Studio is a desktop client that supports for multiple LLM providers. Cherry Studio registers a custom protocol called `cherrystudio://`. When handling the MCP installation URL, it parses the base64-encoded configuration data and directly executes the command within it. In the files `src/main/services/ProtocolClient.ts` and `src/main/services/urlschema/mcp-install.ts`, when receiving a URL of the `cherrystudio://mcp` type, the `handleMcpProtocolUrl` function is called for processing. If an attacker crafts malicious content and posts it on a website or elsewhere (there are many exploitation methods, such as creating a malicious website with a button containing this malicious content), when the user clicks it, since the pop-up window contains normal content, the direct click is considered a scene action, and the malicious command is directly triggered, leading to the user being compromised. As of time of publication, no known patched versions exist.
SSVC
Exploitation: poc Automatable: yes Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
  • CWE-94 - Improper Control of Generation of Code ('Code Injection')
Assigner
References
Impacted products
Vendor Product Version
CherryHQ cherry-studio Affected: <= 1.7.0-alpha.4
Create a notification for this product.
Show details on NVD website

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CVE-2025-61927 (GCVE-0-2025-61927)

Vulnerability from cvelistv5 – Published: 2025-10-10 19:38 – Updated: 2025-10-10 19:59
VLAI
Title
Happy-DOM has VM Context Escape
Summary
Happy DOM is a JavaScript implementation of a web browser without its graphical user interface. Happy DOM v19 and lower contains a security vulnerability that puts the owner system at the risk of RCE (Remote Code Execution) attacks. A Node.js VM Context is not an isolated environment, and if the user runs untrusted JavaScript code within the Happy DOM VM Context, it may escape the VM and get access to process level functionality. It seems like what the attacker can get control over depends on if the process is using ESM or CommonJS. With CommonJS the attacker can get hold of the `require()` function to import modules. Happy DOM has JavaScript evaluation enabled by default. This may not be obvious to the consumer of Happy DOM and can potentially put the user at risk if untrusted code is executed within the environment. Version 20.0.0 patches the issue by changing JavaScript evaluation to be disabled by default.
SSVC
Exploitation: poc Automatable: no Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
  • CWE-94 - Improper Control of Generation of Code ('Code Injection')
Assigner
References
Impacted products
Vendor Product Version
capricorn86 happy-dom Affected: < 20.0.0
Create a notification for this product.
Show details on NVD website

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CVE-2025-61774 (GCVE-0-2025-61774)

Vulnerability from cvelistv5 – Published: 2025-10-06 22:14 – Updated: 2025-10-07 15:53
VLAI
Title
PyVista has Dependency Confusion Vulnerability in that leads to RCE
Summary
PyVista provides 3D plotting and mesh analysis through an interface for the Visualization Toolkit (VTK). Version 0.46.3 of the PyVista Project is vulnerable to remote code execution via dependency confusion. Two pieces of code use`--extra-index-url`. But when `--extra-index-url` is used, pip always checks for the PyPI index first, and then the external index. One package listed in the code is not published in PyPI. If an attacker publishes a package with higher version in PyPI, the malicious code from the attacker controlled package may be pulled, leading to remote code execution and a supply chain attack. As of time of publication, a patched version is unavailable.
SSVC
Exploitation: poc Automatable: yes Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
  • CWE-94 - Improper Control of Generation of Code ('Code Injection')
Assigner
Impacted products
Vendor Product Version
pyvista pyvista Affected: = 0.46.3
Create a notification for this product.
Show details on NVD website

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CVE-2025-61773 (GCVE-0-2025-61773)

Vulnerability from cvelistv5 – Published: 2025-10-09 20:49 – Updated: 2025-10-10 14:29
VLAI
Title
pyLoad CNL and captcha handlers allow code Injection via unsanitized parameters
Summary
pyLoad is a free and open-source download manager written in Python. In versions prior to 0.5.0b3.dev91, pyLoad web interface contained insufficient input validation in both the Captcha script endpoint and the Click'N'Load (CNL) Blueprint. This flaw allowed untrusted user input to be processed unsafely, which could be exploited by an attacker to inject arbitrary content into the web UI or manipulate request handling. The vulnerability could lead to client-side code execution (XSS) or other unintended behaviors when a malicious payload is submitted. user-supplied parameters from HTTP requests were not adequately validated or sanitized before being passed into the application logic and response generation. This allowed crafted input to alter the expected execution flow. CNL (Click'N'Load) blueprint exposed unsafe handling of untrusted parameters in HTTP requests. The application did not consistently enforce input validation or encoding, making it possible for an attacker to craft malicious requests. Version 0.5.0b3.dev91 contains a patch for the issue.
SSVC
Exploitation: poc Automatable: no Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
  • CWE-74 - Improper Neutralization of Special Elements in Output Used by a Downstream Component ('Injection')
  • CWE-94 - Improper Control of Generation of Code ('Code Injection')
  • CWE-79 - Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')
  • CWE-116 - Improper Encoding or Escaping of Output
Assigner
Impacted products
Vendor Product Version
pyload pyload Affected: < 0.5.0b3.dev91
Create a notification for this product.
Show details on NVD website

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CVE-2025-61593 (GCVE-0-2025-61593)

Vulnerability from cvelistv5 – Published: 2025-10-03 17:28 – Updated: 2025-10-03 18:30
VLAI
Title
Cursor CLI Agent: Sensitive File Overwrite Bypass
Summary
Cursor is a code editor built for programming with AI. In versions 1.7 and below, a vulnerability in the way Cursor CLI Agent protects its sensitive files (i.e. */.cursor/cli.json) allows attackers to modify the content of the files through prompt injection, thus achieving remote code execution. A prompt injection can lead to full RCE through modifying sensitive files on case-insensitive filesystems. This issue is fixed in a commit, 25b418f, but has yet to be released as of October 3, 2025.
SSVC
Exploitation: none Automatable: no Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
  • CWE-178 - Improper Handling of Case Sensitivity
  • CWE-94 - Improper Control of Generation of Code ('Code Injection')
Assigner
References
Impacted products
Vendor Product Version
cursor cursor Affected: <= 1.7
Create a notification for this product.
Show details on NVD website

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CVE-2025-61590 (GCVE-0-2025-61590)

Vulnerability from cvelistv5 – Published: 2025-10-03 16:27 – Updated: 2025-10-03 18:27
VLAI
Title
Cursor is vulnerable to RCE via .code-workspace files using Prompt Injection
Summary
Cursor is a code editor built for programming with AI. Versions 1.6 and below are vulnerable to Remote Code Execution (RCE) attacks through Visual Studio Code Workspaces. Workspaces allow users to open more than a single folder and save specific settings (pretty similar to .vscode/settings.json) for the folders / project. An untitled workspace is automatically created by VS Code (untitled.code-workspace), which contains all the folders and workspace settings from the user's current session, opening up an entire new attack vector if the user has a .code-workspace file in path (either untitled created automatically or a saved one). If an attacker is able to hijack the chat context of the victim (such as via a compromised MCP server), they can use prompt injection to make the Cursor Agent write into this file and modify the workspace. This leads to a bypass of CVE-2025-54130 which can lead to RCE by writing to the settings section. This issue is fixed in version 1.7.
SSVC
Exploitation: none Automatable: no Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
  • CWE-94 - Improper Control of Generation of Code ('Code Injection')
Assigner
References
Impacted products
Vendor Product Version
cursor cursor Affected: < 1.7
Create a notification for this product.
Show details on NVD website

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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.