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.

8812 vulnerabilities reference this CWE, most recent first.

CVE-2026-55522 (GCVE-0-2026-55522)

Vulnerability from cvelistv5 – Published: 2026-08-05 19:01 – Updated: 2026-08-06 18:45
VLAI
Title
PraisonAI workflow include bypasses tools.py autoload opt-in and executes included recipe code
Summary
PraisonAI is a multi-agent teams system. In versions 3.9.26 through 4.6.57 of praiseonai and 0.12.12 through 1.6.57 of praiseonaiagents, the workflow "include" feature is vulnerable to code execution. Workflow._execute_include() implicitly imports and runs an included recipe's tools.py via a raw importlib.util.spec_from_file_location() and spec.loader.exec_module() call, without honoring the PRAISONAI_ALLOW_TEMPLATE_TOOLS/PRAISONAI_ALLOW_LOCAL_TOOLS autoload opt-in gates or routing through the centralized safe loader that protects the other tools.py autoload paths. As a result, a workflow that includes an attacker-controlled local recipe directory executes arbitrary module-level Python code during include setup, before any child workflow parsing or model call, and the same sink is reachable through the higher-level praisonai.recipe.run() recipe API. An attacker who can cause a victim process to run a workflow or recipe that includes an untrusted local recipe achieves arbitrary Python code execution as the PraisonAI process user, a variant that bypasses the hardening applied to the previously disclosed automatic tools.py RCE advisory family. This issue has been fixed in version 4.6.58 of praisonai and 1.6.58 of praisonaiagents.
SSVC
Exploitation: poc Automatable: no Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-08-06 18:43 UTC
CWE
  • CWE-94 - Improper Control of Generation of Code ('Code Injection')
  • CWE-426 - Untrusted Search Path
  • CWE-829 - Inclusion of Functionality from Untrusted Control Sphere
References
Impacted products
Show details on NVD website

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CVE-2026-55511 (GCVE-0-2026-55511)

Vulnerability from cvelistv5 – Published: 2026-08-28 17:05 – Updated: 2026-08-28 17:05
VLAI
Title
Yamcs: Authenticated RCE via StreamSQL aggregate-compiler column-name injection in Yamcs `executeSql`
Summary
Yamcs is a mission control framework. Prior to 5.12.8 and 5.13.2, Yamcs allows a user with SystemPrivilege.ControlArchiving to create a double-quoted StreamSQL column name that is interpolated into generated Java source by Expression.fillCode_InputDefVars and Expression.sanitizeName. A sum aggregate reaches yamcs-core/src/main/java/org/yamcs/yarch/streamsql/CompilableAggregateExpression.java and yamcs-core/src/main/java/org/yamcs/yarch/streamsql/funct/SumExpression.java through SelectExpression.compile, where Janino SimpleCompiler.cook compiles the injected source. POST /api/archive/{instance}:executeSql can therefore execute arbitrary Java in the Yamcs server process, exposing mission data and credentials and permitting telemetry tampering or denial of service. This issue is fixed in versions 5.12.8 and 5.13.2.
CWE
  • CWE-94 - Improper Control of Generation of Code ('Code Injection')
Impacted products
Vendor Product Version
yamcs yamcs Affected: < 5.12.8
Affected: >= 5.13.0, < 5.13.2
Create a notification for this product.
Show details on NVD website

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CVE-2026-55441 (GCVE-0-2026-55441)

Vulnerability from cvelistv5 – Published: 2026-06-26 16:48 – Updated: 2026-06-26 18:41
VLAI
Title
mise: Arbitrary command execution via task-include files in an untrusted, config-less repository
Summary
mise manages dev tools like node, python, cmake, and terraform. Prior to 2026.6.4, mise's trust feature gates config files (mise.toml, .tool-versions) through trust_check, but task-include files are loaded on a path that never reaches it. When a directory has a task-include dir (mise-tasks/, .mise/tasks/, …) but no config file, mise falls back to the default includes and renders each task's tera fields — and that tera environment has exec() registered. A {{ exec(command='…') }} in any rendered field runs arbitrary commands the moment the tasks are merely listed. There's no config file to gate on, so no trust prompt ever appears. Read-only commands trigger it: mise tasks, mise task ls, mise run, mise tasks --usage (the query shell completion runs on Tab). The victim only has to cd into a cloned repo and list or tab-complete a task. This vulnerability is fixed in 2026.6.4.
SSVC
Exploitation: none Automatable: no Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-06-26 18:14 UTC
CWE
  • CWE-78 - Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection')
  • CWE-94 - Improper Control of Generation of Code ('Code Injection')
  • CWE-732 - Incorrect Permission Assignment for Critical Resource
References
Impacted products
Vendor Product Version
jdx mise Affected: < 2026.6.4
Create a notification for this product.
Show details on NVD website

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CVE-2026-55415 (GCVE-0-2026-55415)

Vulnerability from cvelistv5 – Published: 2026-07-28 21:37 – Updated: 2026-07-29 14:06
VLAI
Title
datamodel-code-generator vulnerable to code injection via `x-python-import` / `customTypePath` in generated import statements
Summary
datamodel-code-generator generates Pydantic v2 models, dataclasses, TypedDict, and msgspec.Struct from OpenAPI, JSON Schema, GraphQL, Avro, Protobuf, and raw JSON, YAML, or CSV. From 0.11.6 until 0.64.0, datamodel-code-generator allows attacker-controlled x-python-import or customTypePath schema extensions to reach src/datamodel_code_generator/parser/jsonschema.py and generated import handling through Import.from_full_path and Imports.create_line in src/datamodel_code_generator/imports.py, allowing a newline to break out of an import statement and execute Python code when the generated model is imported. This issue is fixed in version 0.64.0.
SSVC
Exploitation: poc Automatable: no Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-07-29 14:05 UTC
CWE
  • CWE-94 - Improper Control of Generation of Code ('Code Injection')
  • CWE-95 - Improper Neutralization of Directives in Dynamically Evaluated Code ('Eval Injection')
Impacted products
Vendor Product Version
koxudaxi datamodel-code-generator Affected: >= 0.11.6, < 0.64.0
Create a notification for this product.
Show details on NVD website

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CVE-2026-55413 (GCVE-0-2026-55413)

Vulnerability from cvelistv5 – Published: 2026-06-25 16:03 – Updated: 2026-06-25 18:01
VLAI
Title
ToolJet - Marketplace Plugin Poisoning Enables Instance-Wide Remote Code Execution
Summary
ToolJet is the open-source foundation am AI-native platform for building and deploying internal tools, workflows and AI agents. Prior to 3.20.178-lts, any authenticated user with builder role (free tier) can overwrite a globally-shared marketplace plugin with arbitrary JavaScript that executes server-side with full Node.js access (require, process). The malicious code runs whenever any user on the instance triggers a query using that plugin — achieving both RCE and supply-chain compromise of the entire ToolJet deployment. This vulnerability is fixed in 3.20.178-lts.
SSVC
Exploitation: poc Automatable: no Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-06-25 18:01 UTC
CWE
  • CWE-94 - Improper Control of Generation of Code ('Code Injection')
References
Impacted products
Vendor Product Version
ToolJet ToolJet Affected: < 3.20.178-lts
Create a notification for this product.
Show details on NVD website

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CVE-2026-55408 (GCVE-0-2026-55408)

Vulnerability from cvelistv5 – Published: 2026-07-07 21:02 – Updated: 2026-07-08 14:08
VLAI
Title
Koodo Reader: Remote code execution via malicious epub file
Summary
Koodo Reader is an ebook reader. In version 2.3.0 and earlier, Koodo Reader is vulnerable to remote code execution through malicious EPUB files because the open-book IPC handler enables nodeIntegrationInSubFrames and EPUB chapter content is rendered with unsanitized innerHTML. An attacker can craft an EPUB book that, when imported and opened by the victim, instantiates a hidden iframe with Node.js API access and executes arbitrary operating system commands with the victim user's privileges. This issue is fixed in version 2.3.1.
SSVC
Exploitation: poc Automatable: no Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-07-08 14:07 UTC
CWE
  • CWE-94 - Improper Control of Generation of Code ('Code Injection')
References
Impacted products
Show details on NVD website

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CVE-2026-55388 (GCVE-0-2026-55388)

Vulnerability from cvelistv5 – Published: 2026-06-22 16:50 – Updated: 2026-06-23 15:51
VLAI
Title
piscina: Prototype Pollution Gadget → RCE via inherited options.filename
Summary
piscina is a node.js worker pool implementation. Prior to 6.0.0-rc.2, 5.2.0, and 4.9.3, piscina's constructor and run() paths read the filename option via plain member access. Both reads fall through the prototype chain when the caller's options object doesn't have filename as an own property. When Object.prototype.filename is polluted upstream the inherited value flows to worker_threads.Worker import and the attacker's .mjs runs in the worker. This vulnerability is fixed in 6.0.0-rc.2, 5.2.0, and 4.9.3.
SSVC
Exploitation: poc Automatable: no Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-06-23 15:50 UTC
CWE
  • CWE-94 - Improper Control of Generation of Code ('Code Injection')
  • CWE-1321 - Improperly Controlled Modification of Object Prototype Attributes ('Prototype Pollution')
References
Impacted products
Vendor Product Version
piscinajs piscina Affected: < 4.9.3
Affected: >= 5.0.0-alpha.0, < 5.2.0
Affected: >= 6.0.0-rc.1, < 6.0.0-rc.2
Create a notification for this product.
Show details on NVD website

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CVE-2026-54823 (GCVE-0-2026-54823)

Vulnerability from cvelistv5 – Published: 2026-06-25 13:12 – Updated: 2026-06-25 14:51
VLAI
Title
WordPress Widget Options plugin <= 4.2.3 - Remote Code Execution (RCE) vulnerability
Summary
Contributor Remote Code Execution (RCE) in Widget Options <= 4.2.3 versions.
SSVC
Exploitation: none Automatable: no Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-06-25 14:50 UTC
CWE
  • CWE-94 - Improper Control of Generation of Code ('Code Injection')
References
Impacted products
Vendor Product Version
MarketingFire Widget Options Affected: n/a , ≤ 4.2.3 (custom)
Create a notification for this product.
Show details on NVD website

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CVE-2026-54816 (GCVE-0-2026-54816)

Vulnerability from cvelistv5 – Published: 2026-06-17 13:37 – Updated: 2026-06-17 15:38 X_Open Source
VLAI
Title
WordPress Advanced Ads plugin <= 2.0.21 - Remote Code Execution (RCE) vulnerability
Summary
Improper Control of Generation of Code ('Code Injection') vulnerability in Monetizemore Advanced Ads allows Remote Code Inclusion. This issue affects Advanced Ads: from n/a through 2.0.21.
SSVC
Exploitation: none Automatable: no Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-06-17 15:18 UTC
CWE
  • CWE-94 - Improper Control of Generation of Code ('Code Injection')
References
Impacted products
Vendor Product Version
Monetizemore Advanced Ads Affected: n/a , ≤ 2.0.21 (custom)
Create a notification for this product.
Show details on NVD website

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CVE-2026-54769 (GCVE-0-2026-54769)

Vulnerability from cvelistv5 – Published: 2026-07-09 23:51 – Updated: 2026-07-10 14:12
VLAI
Title
Langroid: Sandbox Escape to Remote Code Execution via Incomplete `eval()` Mitigation in TableChatAgent
Summary
Langroid is a framework for building large-language-model-powered applications. Versions prior to 0.65.2 are vulnerable to a critical Sandbox Escape leading to Remote Code Execution (RCE) in its `TableChatAgent` and `VectorStore` capabilities. When these agents evaluate LLM-generated tool messages with `full_eval=True`, they attempt to sandbox the execution by explicitly setting `locals` to an empty dictionary `{}` inside Python's `eval()` function. However, this relies on an incomplete understanding of Python's execution model. Because `__builtins__` is not explicitly scrubbed from the `globals` dictionary mapping, Python implicitly injects all built-ins during execution, granting full access to functions like `__import__('os').system()`. Since `TableChatAgent.pandas_eval()` executes external LLM outputs natively, this bypass permits any attacker providing prompt payload to achieve unauthenticated RCE on the host system. Version 0.65.2 patches the issue.
SSVC
Exploitation: poc Automatable: yes Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-07-10 14:12 UTC
CWE
  • CWE-94 - Improper Control of Generation of Code ('Code Injection')
References
Impacted products
Vendor Product Version
langroid langroid Affected: < 0.65.2
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.