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.

8285 vulnerabilities reference this CWE, most recent first.

CVE-2026-26332 (GCVE-0-2026-26332)

Vulnerability from cvelistv5 – Published: 2026-05-04 16:35 – Updated: 2026-07-15 01:14
VLAI
Title
vm2: Sandbox Escape
Summary
vm2 is an open source vm/sandbox for Node.js. Prior to version 3.11.0, SuppressedError allows attackers to escape the sandbox and run arbitrary code. This issue has been patched in version 3.11.0.
Severity
9.8 (Critical)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
9.1 (Critical)
CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:C/C:H/I:H/A:H
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-693 - Protection Mechanism Failure
  • CWE-653 - Improper Isolation or Compartmentalization
Assigner
References
Impacted products
Show details on NVD website
To clipboard 

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CVE-2026-26216 (GCVE-0-2026-26216)

Vulnerability from cvelistv5 – Published: 2026-02-12 15:31 – Updated: 2026-07-14 15:54
VLAI
Title
Crawl4AI < 0.8.0 Docker API Unauthenticated Remote Code Execution via Hooks Parameter
Summary
Crawl4AI versions prior to 0.8.0 contain a remote code execution vulnerability in the Docker API deployment. The /crawl endpoint accepts a hooks parameter containing Python code that is executed using exec(). The __import__ builtin was included in the allowed builtins, allowing unauthenticated remote attackers to import arbitrary modules and execute system commands. Successful exploitation allows full server compromise, including arbitrary command execution, file read and write access, sensitive data exfiltration, and lateral movement within internal networks.
Severity
10 (Critical)
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:H/SI:H/SA:H
10 (Critical)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H
SSVC
Exploitation: none 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
unclecode Crawl4AI Affected: 0 , < 0.8.0 (semver)
Create a notification for this product.
Credits
Neo by ProjectDiscovery (https://neo.projectdiscovery.io)
Show details on NVD website
To clipboard 

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CVE-2026-26056 (GCVE-0-2026-26056)

Vulnerability from cvelistv5 – Published: 2026-02-12 21:11 – Updated: 2026-02-12 21:33
VLAI
Title
Arbitrary WASM Code Execution via AnnotationOverrideFlight Injection in Yoke ATC
Summary
Yoke is a Helm-inspired infrastructure-as-code (IaC) package deployer. In 0.19.0 and earlier, a vulnerability exists in the Air Traffic Controller (ATC) component of Yoke. It allows users with CR create/update permissions to execute arbitrary WASM code in the ATC controller context by injecting a malicious URL through the overrides.yoke.cd/flight annotation. The ATC controller downloads and executes the WASM module without proper URL validation, enabling attackers to create arbitrary Kubernetes resources or potentially escalate privileges to cluster-admin level.
Severity
8.8 (High)
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
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
yokecd yoke Affected: < 0.19.0
Create a notification for this product.
Show details on NVD website
To clipboard 

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CVE-2026-26045 (GCVE-0-2026-26045)

Vulnerability from cvelistv5 – Published: 2026-02-21 05:40 – Updated: 2026-02-26 14:44
VLAI
Title
Moodle: moodle: improper validation in file restore functionality leading to remote code execution
Summary
A flaw was identified in Moodle’s backup restore functionality where specially crafted backup files were not properly validated during processing. If a malicious backup file is restored, it could lead to unintended execution of server-side code. Since restore capabilities are typically available to privileged users, exploitation requires authenticated access. Successful exploitation could result in full compromise of the Moodle server.
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: 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://access.redhat.com/security/cve/CVE-2026-26045 vdb-entryx_refsource_REDHAT
https://bugzilla.redhat.com/show_bug.cgi?id=2440901 issue-trackingx_refsource_REDHAT
Impacted products
Vendor Product Version
Affected: 0 , < 4.5.9 (semver)
Affected: 5.0.0 , < 5.0.5 (semver)
Affected: 5.1.0 , < 5.1.2 (semver)
Date Public
2026-02-19 00:00
Credits
Red Hat would like to thank Dinhnhi (VNPT-VCI) for reporting this issue.
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CVE-2026-26030 (GCVE-0-2026-26030)

Vulnerability from cvelistv5 – Published: 2026-02-19 16:00 – Updated: 2026-02-26 14:44
VLAI
Title
Microsoft Semantic Kernel InMemoryVectorStore filter functionality vulnerable to remote code execution
Summary
Semantic Kernel, Microsoft's semantic kernel Python SDK, has a remote code execution vulnerability in versions prior to 1.39.4, specifically within the `InMemoryVectorStore` filter functionality. The problem has been fixed in version `python-1.39.4`. Users should upgrade this version or higher. As a workaround, avoid using `InMemoryVectorStore` for production scenarios.
Severity
10 (Critical)
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H
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
microsoft semantic-kernel Affected: < 1.39.4
Create a notification for this product.
Show details on NVD website
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CVE-2026-26026 (GCVE-0-2026-26026)

Vulnerability from cvelistv5 – Published: 2026-04-06 14:33 – Updated: 2026-04-07 03:55
VLAI
Title
GLPI has a Server-Side Template Injection via Double-Compilation
Summary
GLPI is a free asset and IT management software package. From 11.0.0 to before 11.0.6, template injection by an administrator lead to RCE. This vulnerability is fixed in 11.0.6.
Severity
9.1 (Critical)
CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:C/C:H/I:H/A:H
SSVC
Exploitation: none 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
glpi-project glpi Affected: >= 11.0.0, < 11.0.6
Create a notification for this product.
Show details on NVD website
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CVE-2026-25888 (GCVE-0-2026-25888)

Vulnerability from cvelistv5 – Published: 2026-03-06 04:07 – Updated: 2026-03-06 16:08
VLAI
Title
Chartbrew: Remote Code Execution (RCE) via Vulnerable API
Summary
Chartbrew is an open-source web application that can connect directly to databases and APIs and use the data to create charts. Prior to version 4.8.1, there is a remote code execution vulnerability via a vulnerable API. This issue has been patched in version 4.8.1.
Severity
8.8 (High)
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
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
chartbrew chartbrew Affected: < 4.8.1
Create a notification for this product.
Show details on NVD website
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CVE-2026-25887 (GCVE-0-2026-25887)

Vulnerability from cvelistv5 – Published: 2026-03-06 04:07 – Updated: 2026-03-06 16:08
VLAI
Title
Chartbrew: Remote Code Execution (RCE) via MongoDB Dataset Query
Summary
Chartbrew is an open-source web application that can connect directly to databases and APIs and use the data to create charts. Prior to version 4.8.1, there is a remote code execution vulnerability via the MongoDB dataset Query. This issue has been patched in version 4.8.1.
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: 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
chartbrew chartbrew Affected: < 4.8.1
Create a notification for this product.
Show details on NVD website
To clipboard 

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CVE-2026-25879 (GCVE-0-2026-25879)

Vulnerability from cvelistv5 – Published: 2026-06-01 22:27 – Updated: 2026-06-02 15:45
VLAI
Title
Langroid has Prompt to SQL Injection, Leading to RCE
Summary
Langroid is a framework for building large-language-model-powered applications. Prior to version 0.63.0, SQLChatAgent executes SQL produced by an LLM, which is influenceable by prompt injection. When configured with a database role that has privileges enabling code execution or filesystem access (e.g., PostgreSQL pg_execute_server_program, MySQL FILE, MSSQL xp_cmdshell), an attacker who can shape the agent's input — including indirectly via data returned to the LLM — can coerce execution of dialect-specific primitives such as `COPY ... FROM PROGRAM`, achieving RCE on the database host. Fixed in v0.63.0 by defaulting SQLChatAgent to a SELECT-only sqlglot-parsed statement allowlist with a dialect-aware dangerous-pattern blocklist; allow_dangerous_operations=True restores the previous unrestricted behavior for trusted deployments.
Severity
9.8 (Critical)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
SSVC
Exploitation: poc Automatable: yes Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
  • CWE-89 - Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')
  • CWE-94 - Improper Control of Generation of Code ('Code Injection')
Assigner
References
Impacted products
Vendor Product Version
langroid langroid Affected: < 0.63.0
Create a notification for this product.
Show details on NVD website
To clipboard 

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CVE-2026-25856 (GCVE-0-2026-25856)

Vulnerability from cvelistv5 – Published: 2026-06-08 16:50 – Updated: 2026-07-14 15:53 X_Open Source Exclusively Hosted Service
VLAI
Title
OpenBullet2 0.3.2 Authenticated RCE via Job Configuration Interface
Summary
OpenBullet2 through version 0.3.2 contains an authenticated remote code execution vulnerability that allows authenticated users to execute arbitrary C# code on the server host by creating or modifying job configurations. Attackers can leverage the plain C# execution mode, which lacks reference filtering or API restrictions, to access the file system, spawn processes, and invoke arbitrary .NET APIs as the process user.
Severity
8.7 (High)
CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N
8.8 (High)
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
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
openbullet openbullet2 Affected: 0 , ≤ 0.3.2 (semver)
Create a notification for this product.
Date Public
2026-06-05 00:00
Credits
Maksim Rogov VulnCheck
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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