Common Weakness Enumeration

CWE-94

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

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.

CVE-2026-40158 (GCVE-0-2026-40158)

Vulnerability from cvelistv5 – Published: 2026-04-10 16:49 – Updated: 2026-04-10 18:31
VLAI
Title
PraisonAI has Improper Control of Generation of Code ('Code Injection') and Protection Mechanism Failure in praisonai
Summary
PraisonAI is a multi-agent teams system. Prior to 4.5.128, PraisonAI's AST-based Python sandbox can be bypassed using type.__getattribute__ trampoline, allowing arbitrary code execution when running untrusted agent code. The _execute_code_direct function in praisonaiagents/tools/python_tools.py uses AST filtering to block dangerous Python attributes like __subclasses__, __globals__, and __bases__. However, the filter only checks ast.Attribute nodes, allowing a bypass. The sandbox relies on AST-based filtering of attribute access but fails to account for dynamic attribute resolution via built-in methods such as type.getattribute, resulting in incomplete enforcement of security restrictions. The string '__subclasses__' is an ast.Constant, not an ast.Attribute, so it is never checked against the blocked list. This vulnerability is fixed in 4.5.128.
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-693 - Protection Mechanism Failure
Assigner
References
Impacted products
Vendor Product Version
MervinPraison PraisonAI Affected: < 4.5.128
Create a notification for this product.
Show details on NVD website

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CVE-2026-40287 (GCVE-0-2026-40287)

Vulnerability from cvelistv5 – Published: 2026-04-14 02:55 – Updated: 2026-04-14 13:23
VLAI
Title
PraisonAI has RCE via Automatic tools.py Import
Summary
PraisonAI is a multi-agent teams system. Versions 4.5.138 and below are vulnerable to arbitrary code execution through automatic, unsanitized import of a tools.py file from the current working directory. Components including call.py (import_tools_from_file()), tool_resolver.py (_load_local_tools()), and CLI tool-loading paths blindly import ./tools.py at startup without any validation, sandboxing, or user confirmation. An attacker who can place a malicious tools.py in the directory where PraisonAI is launched (such as through a shared project, cloned repository, or writable workspace) achieves immediate arbitrary Python code execution in the host environment. This compromises the full PraisonAI process, the host system, and any connected data or credentials. This issue has been fixed in version 4.5.139.
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-426 - Untrusted Search Path
Assigner
References
Impacted products
Show details on NVD website

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CVE-2026-40288 (GCVE-0-2026-40288)

Vulnerability from cvelistv5 – Published: 2026-04-14 03:00 – Updated: 2026-04-14 15:57
VLAI
Title
PraisonAI: Critical RCE via `type: job` workflow YAML
Summary
PraisonAI is a multi-agent teams system. In versions below 4.5.139 of PraisonAI and 1.5.140 of praisonaiagents, the workflow engine is vulnerable to arbitrary command and code execution through untrusted YAML files. When praisonai workflow run <file.yaml> loads a YAML file with type: job, the JobWorkflowExecutor in job_workflow.py processes steps that support run: (shell commands via subprocess.run()), script: (inline Python via exec()), and python: (arbitrary Python script execution)—all without any validation, sandboxing, or user confirmation. The affected code paths include action_run() in workflow.py and _exec_shell(), _exec_inline_python(), and _exec_python_script() in job_workflow.py. An attacker who can supply or influence a workflow YAML file (particularly in CI pipelines, shared repositories, or multi-tenant deployment environments) can achieve full arbitrary command execution on the host system, compromising the machine and any accessible data or credentials. This issue has been fixed in versions 4.5.139 of PraisonAI and 1.5.140 of praisonaiagents.
SSVC
Exploitation: poc Automatable: yes Technical Impact: total
CISA Coordinator (v2.0.3)
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')
Assigner
References
Impacted products
Show details on NVD website

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CVE-2026-40316 (GCVE-0-2026-40316)

Vulnerability from cvelistv5 – Published: 2026-04-15 22:49 – Updated: 2026-04-16 14:18
VLAI
Title
OWASP BLT has RCE in Github Actions via untrusted Django model execution in workflow
Summary
OWASP BLT is a QA testing and vulnerability disclosure platform that encompasses websites, apps, git repositories, and more. Versions prior to 2.1.1 contain an RCE vulnerability in the .github/workflows/regenerate-migrations.yml workflow. The workflow uses the pull_request_target trigger to run with full GITHUB_TOKEN write permissions, copies attacker-controlled files from untrusted pull requests into the trusted runner workspace via git show, and then executes python manage.py makemigrations, which imports Django model modules including attacker-controlled website/models.py at runtime. Any module-level Python code in the attacker's models.py is executed during import, enabling arbitrary code execution in the privileged CI environment with access to GITHUB_TOKEN and repository secrets. The attack is triggerable by any external contributor who can open a pull request, provided a maintainer applies the regenerate-migrations label, potentially leading to secret exfiltration, repository compromise, and supply chain attacks. A patch for this issue is expected to be released in version 2.1.1.
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-95 - Improper Neutralization of Directives in Dynamically Evaluated Code ('Eval Injection')
Assigner
References
Impacted products
Vendor Product Version
OWASP-BLT BLT Affected: <= 2.1
Create a notification for this product.
Show details on NVD website

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CVE-2026-40322 (GCVE-0-2026-40322)

Vulnerability from cvelistv5 – Published: 2026-04-16 23:00 – Updated: 2026-04-17 12:26
VLAI
Title
SiYuan: Mermaid `javascript:` Link Injection Leads to Stored XSS and Electron RCE
Summary
SiYuan is an open-source personal knowledge management system. In versions 3.6.3 and below, Mermaid diagrams are rendered with securityLevel set to "loose", and the resulting SVG is injected into the DOM via innerHTML. This allows attacker-controlled javascript: URLs in Mermaid code blocks to survive into the rendered output. On desktop builds using Electron, windows are created with nodeIntegration enabled and contextIsolation disabled, escalating the stored XSS to arbitrary code execution when a victim opens a note containing a malicious Mermaid block and clicks the rendered diagram node. This issue has been fixed in version 3.6.4.
SSVC
Exploitation: poc Automatable: no Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
  • CWE-79 - Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')
  • CWE-94 - Improper Control of Generation of Code ('Code Injection')
Assigner
References
Impacted products
Vendor Product Version
siyuan-note siyuan Affected: < 3.6.4
Create a notification for this product.
Show details on NVD website

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CVE-2026-40342 (GCVE-0-2026-40342)

Vulnerability from cvelistv5 – Published: 2026-04-17 19:22 – Updated: 2026-04-22 13:56
VLAI
Title
Firebird: Path Traversal + Arbitrary File Write Leads to Remote Code Execution
Summary
Firebird is an open-source relational database management system. In versions prior to 5.0.4, 4.0.7 and 3.0.14, the external engine plugin loader concatenates a user-supplied engine name into a filesystem path without filtering path separators or .. components. An authenticated user with CREATE FUNCTION privileges can use a crafted ENGINE name to load an arbitrary shared library from anywhere on the filesystem via path traversal. The library's initialization code executes immediately during loading, before Firebird validates the module, achieving code execution as the server's OS account. This issue has been fixed in versions 5.0.4, 4.0.7 and 3.0.14.
SSVC
Exploitation: none Automatable: no Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
  • CWE-22 - Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')
  • CWE-427 - Uncontrolled Search Path Element
  • CWE-73 - External Control of File Name or Path
  • CWE-94 - Improper Control of Generation of Code ('Code Injection')
Assigner
Impacted products
Vendor Product Version
FirebirdSQL firebird Affected: < 3.0.14
Affected: >= 4.0.0, < 4.0.7
Affected: >= 5.0.0, < 5.0.4
Create a notification for this product.
Show details on NVD website

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CVE-2026-4039 (GCVE-0-2026-4039)

Vulnerability from cvelistv5 – Published: 2026-03-12 12:02 – Updated: 2026-03-12 13:10 X_Open Source
VLAI
Title
OpenClaw Skill Env applySkillConfigenvOverrides code injection
Summary
A vulnerability was determined in OpenClaw 2026.2.19-2. This vulnerability affects the function applySkillConfigenvOverrides of the component Skill Env Handler. Executing a manipulation can lead to code injection. It is possible to launch the attack remotely. Upgrading to version 2026.2.21-beta.1 is able to resolve this issue. This patch is called 8c9f35cdb51692b650ddf05b259ccdd75cc9a83c. It is recommended to upgrade the affected component.
SSVC
Exploitation: none Automatable: no Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
Assigner
Impacted products
Vendor Product Version
n/a OpenClaw Affected: 2026.2.19-2
Unaffected: 2026.2.21-beta.1
    cpe:2.3:a:openclaw:openclaw:*:*:*:*:*:*:*:*
Credits
nedlir (VulDB User)
Show details on NVD website

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CVE-2026-40466 (GCVE-0-2026-40466)

Vulnerability from cvelistv5 – Published: 2026-04-24 10:15 – Updated: 2026-06-30 03:19
VLAI
Title
Apache ActiveMQ Broker, Apache ActiveMQ All, Apache ActiveMQ: Possible bypass of CVE-2026-34197 via HTTP discovery second-stage URI
Summary
Improper Input Validation, Improper Control of Generation of Code ('Code Injection') vulnerability in Apache ActiveMQ Broker, Apache ActiveMQ All, Apache ActiveMQ. An authenticated attacker may bypass the fix in CVE-2026-34197 by adding a connector using an HTTP Discovery transport via BrokerView.addNetworkConnector or BrokerView.addConnector through Jolokia if the activemq-http module is on the classpath. A malicious HTTP endpoint can return a VM transport through the HTTP URI which will bypass the validation added in CVE-2026-34197. The attacker can then use the VM transport's brokerConfig parameter to load a remote Spring XML application context using ResourceXmlApplicationContext. Because Spring's ResourceXmlApplicationContext instantiates all singleton beans before the BrokerService validates the configuration, arbitrary code execution occurs on the broker's JVM through bean factory methods such as Runtime.exec(). This issue affects Apache ActiveMQ Broker: before 5.19.6, from 6.0.0 before 6.2.5; Apache ActiveMQ All: before 5.19.6, from 6.0.0 before 6.2.5; Apache ActiveMQ: before 5.19.6, from 6.0.0 before 6.2.5. Users are recommended to upgrade to version 5.19.6 or 6.2.5, which fixes the issue.
SSVC
Exploitation: none Automatable: no Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
  • CWE-20 - Improper Input Validation
  • CWE-94 - Improper Control of Generation of Code ('Code Injection')
Assigner
Impacted products
Credits
Fatih Ersinadim gggggggga
Show details on NVD website

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CVE-2026-40563 (GCVE-0-2026-40563)

Vulnerability from cvelistv5 – Published: 2026-05-04 15:17 – Updated: 2026-05-06 13:27
VLAI
Title
Apache Atlas: Script injection allows access to unintended data
Summary
Description: Improper Control of Generation of Code ('Code Injection') vulnerability in Apache Atlas Apache Atlas exposes a DSL search endpoint that accepts user-supplied query strings. Attacker can alter Gremlin traversal logic within grammar-allowed characters to access unintended data Affect Version: This issue affects Apache Atlas: from 0.8 through 2.4.0. For the affect version >= 2.0, vulnerability is only when Atlas is deployed with below non-default configuration. atlas.dsl.executor.traversal=false Mitigation: Users are recommended to upgrade to version 2.5.0, which fixes the issue.
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
Apache Software Foundation Apache Atlas Affected: 0.8 , ≤ 2.4.0 (semver)
Create a notification for this product.
Credits
Khaled M. Alshammri qx L
Show details on NVD website

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CVE-2026-40602 (GCVE-0-2026-40602)

Vulnerability from cvelistv5 – Published: 2026-04-21 17:40 – Updated: 2026-04-21 19:02
VLAI
Title
hass-cli: Handling of user-supplied Jinja2 templates
Summary
The Home Assistant Command-line interface (hass-cli) is a command-line tool for Home Assistant. Up to 1.0.0 of home-assitant-cli an unrestricted environment was used to handle Jninja2 templates instead of a sandboxed one. The user-supplied input within Jinja2 templates was rendered locally with no restrictions. This gave users access to Python's internals and extended the scope of templating beyond the intended usage. This vulnerability is fixed in 1.0.0.
SSVC
Exploitation: none Automatable: no Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
  • CWE-94 - Improper Control of Generation of Code ('Code Injection')
  • CWE-1336 - Improper Neutralization of Special Elements Used in a Template Engine
Assigner
References
Impacted products
Show details on NVD website

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          "name": "https://github.com/home-assistant-ecosystem/home-assistant-cli/pull/453",
          "tags": [
            "x_refsource_MISC"
          ],
          "url": "https://github.com/home-assistant-ecosystem/home-assistant-cli/pull/453"
        }
      ],
      "source": {
        "advisory": "GHSA-33qf-q99x-wpm8",
        "discovery": "UNKNOWN"
      },
      "title": "hass-cli: Handling of user-supplied Jinja2 templates"
    }
  },
  "cveMetadata": {
    "assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
    "assignerShortName": "GitHub_M",
    "cveId": "CVE-2026-40602",
    "datePublished": "2026-04-21T17:40:10.251Z",
    "dateReserved": "2026-04-14T14:07:59.641Z",
    "dateUpdated": "2026-04-21T19:02:03.968Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.2"
}

Mitigation

Phase: Architecture and Design

Strategy: Refactoring

Description:

  • Refactor your program so that you do not have to dynamically generate code.
Mitigation

Phase: Architecture and Design

Description:

  • 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 ID: MIT-5

Phase: Implementation

Strategy: Input Validation

Description:

  • 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

Phase: Testing

Description:

  • 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 ID: MIT-32

Phase: Operation

Strategy: Compilation or Build Hardening

Description:

  • 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 ID: MIT-32

Phase: Operation

Strategy: Environment Hardening

Description:

  • 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

Phase: Implementation

Description:

  • 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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