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.

8272 vulnerabilities reference this CWE, most recent first.

CVE-2026-45833 (GCVE-0-2026-45833)

Vulnerability from cvelistv5 – Published: 2026-06-12 15:16 – Updated: 2026-07-15 00:52
VLAI
Summary
A code injection vulnerability in version 0.4.17 or later of the ChromaDB Python project allows an authenticated attacker to run arbitrary code on the server by sending a malicious model repository and trust_remote_code set to true in the /api/v2/tenants/default_tenant/databases/default_database/collections/{collection_id} if they have the UPDATE_COLLECTION permission.
SSVC
Exploitation: poc Automatable: no Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
  • CWE-94 - Improper Control of Generation of Code ('Code Injection')
Assigner
Impacted products
Show details on NVD website

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CVE-2026-45829 (GCVE-0-2026-45829)

Vulnerability from cvelistv5 – Published: 2026-05-18 15:59 – Updated: 2026-07-15 11:47
VLAI
Summary
A pre-authentication, code injection vulnerability in version 1.0.0 or later of the ChromaDB Python project allows an unauthenticated attacker to run arbitrary code on the server by sending a malicious model repository and trust_remote_code set to true in the /api/v2/tenants/{tenant}/databases/{db}/collections endpoint.
SSVC
Exploitation: poc Automatable: yes Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
  • CWE-94 - Improper Control of Generation of Code ('Code Injection')
  • CWE-502 - Deserialization of Untrusted Data
Assigner
Impacted products
Vendor Product Version
Chroma ChromaDB Affected: 1.0.0 , ≤ * (semver)
Create a notification for this product.
Red Hat Red Hat Enterprise Linux AI (RHEL AI) 3     cpe:/a:redhat:enterprise_linux_ai:3
Create a notification for this product.
Credits
Esteban Tonglet
Show details on NVD website

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CVE-2026-45719 (GCVE-0-2026-45719)

Vulnerability from cvelistv5 – Published: 2026-05-27 17:07 – Updated: 2026-05-27 18:36
VLAI
Title
Budibase: CouchDB Reduce Injection via Unsanitized Calculation Parameter in V1 Views API
Summary
Budibase is an open-source low-code platform. Prior to 3.38.1, the V1 Views API (POST /api/views) accepts a calculation parameter from the request body that is interpolated directly into a CouchDB reduce function definition without validation. Although an internal SCHEMA_MAP object defines the valid calculation types (sum, count, stats), no actual validation is performed against this map before the value is used in string interpolation. A user with Builder permissions can inject arbitrary JavaScript code that will be executed within the CouchDB JavaScript engine when the view is queried. This vulnerability is fixed in 3.38.1.
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
Budibase budibase Affected: < 3.38.1
Create a notification for this product.
Show details on NVD website

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CVE-2026-45714 (GCVE-0-2026-45714)

Vulnerability from cvelistv5 – Published: 2026-05-13 20:43 – Updated: 2026-05-14 15:51
VLAI
Title
CubeCart: Server-Side Template Injection (SSTI) in Smarty Templates leading to RCE
Summary
CubeCart is an ecommerce software solution. Prior to 6.7.0, an Authenticated Server-Side Template Injection (SSTI) vulnerability exists in multiple modules of CubeCart (including Email Templates, Invoices, Documents, and Contact Forms). The application unsafely evaluates user-supplied input using the Smarty template engine without enabling Smarty Security Policies. This allows any authenticated user with administrative privileges to execute arbitrary operating system commands (RCE) on the server. This vulnerability is fixed in 6.7.0.
SSVC
Exploitation: poc Automatable: no Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
  • CWE-94 - Improper Control of Generation of Code ('Code Injection')
  • CWE-1336 - Improper Neutralization of Special Elements Used in a Template Engine
Assigner
References
Impacted products
Vendor Product Version
cubecart v6 Affected: < 6.7.0
Create a notification for this product.
Show details on NVD website

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CVE-2026-45708 (GCVE-0-2026-45708)

Vulnerability from cvelistv5 – Published: 2026-05-13 20:46 – Updated: 2026-05-14 19:52
VLAI
Title
CubeCart: Authenticated RCE via Invoice Template → Order Print
Summary
CubeCart is an ecommerce software solution. Prior to 6.7.3, an admin with documents edit permission can save raw <?php … ?> into the Invoice Editor. The next time any admin clicks Print on any order, the rendered template is written to files/print.<md5>.php. files/.htaccess ships an explicit <Files print.*.php> allow from all </Files> carve-out, so the file is fetched and executed by any unauthenticated visitor. This vulnerability is fixed in 6.7.3.
SSVC
Exploitation: poc 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
cubecart v6 Affected: < 6.7.3
Create a notification for this product.
Show details on NVD website

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CVE-2026-45697 (GCVE-0-2026-45697)

Vulnerability from cvelistv5 – Published: 2026-05-29 19:01 – Updated: 2026-06-01 15:18
VLAI
Title
Formie: Pre-authenticated server-side template injection in Hidden fields
Summary
Formie is a Craft CMS plugin for creating forms. Prior to 2.2.20 and 3.1.24, unauthenticated users could submit crafted values into Hidden fields (with Default value → Custom) that were evaluated as Twig during submission handling, which could lead to serious compromise of the Craft site (depending on template/sandbox behavior). This vulnerability is fixed in 2.2.20 and 3.1.24.
SSVC
Exploitation: none Automatable: yes Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
  • CWE-94 - Improper Control of Generation of Code ('Code Injection')
  • CWE-693 - Protection Mechanism Failure
  • CWE-1336 - Improper Neutralization of Special Elements Used in a Template Engine
Assigner
Impacted products
Vendor Product Version
verbb formie Affected: < 2.2.20
Affected: >= 3.0.0-beta.1, < 3.1.24
Create a notification for this product.
Show details on NVD website

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CVE-2026-45583 (GCVE-0-2026-45583)

Vulnerability from cvelistv5 – Published: 2026-06-09 17:04 – Updated: 2026-07-15 20:09
VLAI
Title
Microsoft Exchange Server Remote Code Execution Vulnerability
Summary
Improper control of generation of code ('code injection') in Microsoft Exchange Server allows an unauthorized attacker to execute code over a network.
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
Date Public
2026-06-09 14:00
Show details on NVD website

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CVE-2026-45558 (GCVE-0-2026-45558)

Vulnerability from cvelistv5 – Published: 2026-06-10 14:01 – Updated: 2026-06-10 15:43
VLAI
Title
Roxy-WI: Authenticated RCE on every managed HAProxy load balancer via `option` field config injection in section save
Summary
Roxy-WI is a web interface for managing Haproxy, Nginx, Apache and Keepalived servers. In versions 8.2.6.4 and prior, the HAProxy section-save endpoints (POST /api/service/haproxy/<server_id>/section/<section_type> and the PUT / global / defaults variants) accept a JSON option field that is not validated, not escaped, and is rendered verbatim into the generated HAProxy configuration via the section.j2, global.j2, and defaults.j2 Ansible templates. Because Roxy-WI then pushes the generated config to the load balancer and runs systemctl reload haproxy, an authenticated user with role ≤ 3 (user) can inject arbitrary HAProxy directives into the config that runs on every load balancer their group manages — including option external-check + external-check command /bin/bash -c '…', which gives remote code execution on the load balancer as the haproxy user on every health-check tick. At time of publication, there are no publicly available patches.
SSVC
Exploitation: poc Automatable: no Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
  • CWE-20 - Improper Input Validation
  • CWE-77 - Improper Neutralization of Special Elements used in a Command ('Command Injection')
  • 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')
Assigner
References
Impacted products
Vendor Product Version
roxy-wi roxy-wi Affected: <= 8.2.6.4
Create a notification for this product.
Show details on NVD website

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CVE-2026-45555 (GCVE-0-2026-45555)

Vulnerability from cvelistv5 – Published: 2026-05-29 12:54 – Updated: 2026-05-29 16:23
VLAI
Title
Roslyn CodeLens MCP Server: Untrusted Roslyn Analyzer Execution via get_diagnostics Leads to Arbitrary Code Execution
Summary
Roslyn CodeLens MCP Server is a Roslyn-based MCP server providing semantic code intelligence for .NET codebases. From 0.0.9 to 1.17.0, the get_diagnostics MCP tool loads and executes all DiagnosticAnalyzer assemblies referenced by the target solution without any allowlist, signature check, or user confirmation; includeAnalyzers defaults to true, so no explicit opt-in is required. An attacker who can place a malicious .csproj referencing an attacker-controlled DLL in a location the victim opens with the MCP server will achieve arbitrary code execution in the server process with the server's OS privileges. This vulnerability is fixed in 1.17.0.
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
MarcelRoozekrans roslyn-codelens-mcp Affected: >= 0.0.9, < 1.17.0
Create a notification for this product.
Show details on NVD website

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CVE-2026-45534 (GCVE-0-2026-45534)

Vulnerability from cvelistv5 – Published: 2026-07-15 19:19 – Updated: 2026-07-15 19:19
VLAI
Title
DataEase: RCE Vulnerability
Summary
DataEase is an open source data visualization and analysis tool. Prior to 2.10.23, DataEase Redshift datasource connections can load attacker-controlled rsjdbc.ini configuration from System.getProperty("java.io.tmpdir"), setting socketFactory=org.springframework.context.support.FileSystemXmlApplicationContext so com.amazon.redshift.Driver#connect, com.amazon.redshift.Driver#getJdbcIniFile, and com.amazon.redshift.util.ObjectFactory#instantiate execute a reflection-based remote code execution chain during a normal JDBC connection through io.dataease.datasource.type.Redshift. This issue is fixed in version 2.10.23.
CWE
  • CWE-94 - Improper Control of Generation of Code ('Code Injection')
Assigner
Impacted products
Vendor Product Version
dataease dataease Affected: < 2.10.23
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.