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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.

8870 vulnerabilities reference this CWE, most recent first.

CVE-2026-24764 (GCVE-0-2026-24764)

Vulnerability from cvelistv5 – Published: 2026-02-19 01:10 – Updated: 2026-02-19 17:45
VLAI
Title
OpenClaw has Remote Code Execution via System Prompt Injection in Slack Channel Descriptions
Summary
OpenClaw (formerly Clawdbot) is a personal AI assistant users run on their own devices. In versions 2026.2.2 and below, when the Slack integration is enabled, channel metadata (topic/description) can be incorporated into the model's system prompt. Prompt injection is a documented risk for LLM-driven systems. This issue increases the injection surface by allowing untrusted Slack channel metadata to be treated as higher-trust system input. This issue has been fixed in version 2026.2.3.
SSVC
Exploitation: none Automatable: no Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-02-19 17:05 UTC
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')
Impacted products
Vendor Product Version
clawdbot clawdbot Affected: < 2026.2.3
Create a notification for this product.
Show details on NVD website

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CVE-2026-24747 (GCVE-0-2026-24747)

Vulnerability from cvelistv5 – Published: 2026-01-27 21:13 – Updated: 2026-07-15 01:17
VLAI
Title
PyTorch Vulnerable to Remote Code Execution via Untrusted Checkpoint Files
Summary
PyTorch is a Python package that provides tensor computation. Prior to version 2.10.0, a vulnerability in PyTorch's `weights_only` unpickler allows an attacker to craft a malicious checkpoint file (`.pth`) that, when loaded with `torch.load(..., weights_only=True)`, can corrupt memory and potentially lead to arbitrary code execution. Version 2.10.0 fixes the issue.
SSVC
Exploitation: none Automatable: no Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-01-30 04:55 UTC
CWE
  • CWE-502 - Deserialization of Untrusted Data
  • CWE-94 - Improper Control of Generation of Code ('Code Injection')
Impacted products
Vendor Product Version
pytorch pytorch Affected: < 2.10.0
Create a notification for this product.
Red Hat Red Hat OpenShift AI 2.25 Unaffected: 1780069069 , < * (rpm)
    cpe:/a:redhat:openshift_ai:2.25::el9
Create a notification for this product.
Red Hat Red Hat OpenShift AI (RHOAI)     cpe:/a:redhat:openshift_ai
Create a notification for this product.
Show details on NVD website

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CVE-2026-24474 (GCVE-0-2026-24474)

Vulnerability from cvelistv5 – Published: 2026-01-23 23:50 – Updated: 2026-01-26 17:07
VLAI
Title
Dioxus Components has JavaScript injection via user-supplied IDs
Summary
Dioxus Components is a shadcn-style component library for the Dioxus app framework. Prior to commit 41e4242ecb1062d04ae42a5215363c1d9fd4e23a, `use_animated_open` formats a string for `eval` with an `id` that can be user supplied. Commit 41e4242ecb1062d04ae42a5215363c1d9fd4e23a patches the issue.
SSVC
Exploitation: none Automatable: no Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-01-26 17:06 UTC
CWE
  • CWE-95 - Improper Neutralization of Directives in Dynamically Evaluated Code ('Eval Injection')
  • CWE-94 - Improper Control of Generation of Code ('Code Injection')
References
Impacted products
Vendor Product Version
DioxusLabs components Affected: < 41e4242ecb1062d04ae42a5215363c1d9fd4e23a
Create a notification for this product.
Show details on NVD website

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CVE-2026-24249 (GCVE-0-2026-24249)

Vulnerability from cvelistv5 – Published: 2026-07-01 14:57 – Updated: 2026-07-01 15:57
VLAI
Summary
NVIDIA Megatron Bridge for Linux contains a vulnerability where an attacker could cause deserialization of untrusted data. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, data tampering, and information disclosure.
SSVC
Exploitation: none Automatable: no Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-07-01 15:57 UTC
CWE
  • CWE-94 - Improper Control of Generation of Code ('Code Injection')
Impacted products
Vendor Product Version
NVIDIA Megatron-Bridge Affected: Versions 0.0 to 0.4.0
Create a notification for this product.
Show details on NVD website

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CVE-2026-24248 (GCVE-0-2026-24248)

Vulnerability from cvelistv5 – Published: 2026-07-01 14:57 – Updated: 2026-07-01 15:58
VLAI
Summary
NVIDIA Megatron Bridge for Linux contains a vulnerability where an attacker could cause improper control of code generation. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, data tampering, and information disclosure.
SSVC
Exploitation: none Automatable: no Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-07-01 15:58 UTC
CWE
  • CWE-94 - Improper Control of Generation of Code ('Code Injection')
Impacted products
Vendor Product Version
NVIDIA Megatron-Bridge Affected: Versions 0.0 to 0.4.0
Create a notification for this product.
Show details on NVD website

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CVE-2026-24155 (GCVE-0-2026-24155)

Vulnerability from cvelistv5 – Published: 2026-06-16 16:08 – Updated: 2026-06-17 03:55
VLAI
Summary
NVIDIA NeMo Framework for all platforms contains a code injection vulnerability. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, information disclosure, and data tampering.
SSVC
Exploitation: none Automatable: no Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-06-16 00:00 UTC
CWE
  • CWE-94 - Improper Control of Generation of Code ('Code Injection')
Impacted products
Vendor Product Version
NVIDIA NeMo Framework Affected: Versions 0.0 to 2.7.2
Create a notification for this product.
Show details on NVD website

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CVE-2026-24149 (GCVE-0-2026-24149)

Vulnerability from cvelistv5 – Published: 2026-02-03 19:55 – Updated: 2026-02-03 20:28
VLAI
Summary
NVIDIA Megatron-LM for all platforms contains a vulnerability in a script, where malicious data created by an attacker may cause a code injection issue. A successful exploit of this vulnerability may lead to code execution, escalation of privileges, information disclosure, data tampering.
SSVC
Exploitation: none Automatable: no Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-02-03 20:28 UTC
CWE
  • CWE-94 - Improper Control of Generation of Code ('Code Injection')
Impacted products
Vendor Product Version
NVIDIA Megatron-LM Affected: 0 , < 0.14.0 (custom)
Create a notification for this product.
Show details on NVD website

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CVE-2026-24120 (GCVE-0-2026-24120)

Vulnerability from cvelistv5 – Published: 2026-05-04 16:31 – Updated: 2026-07-15 01:17
VLAI
Title
vm2: Sandbox Breakout Through Promise Species
Summary
vm2 is an open source vm/sandbox for Node.js. Prior to version 3.10.5, the fix for CVE-2023-37466 is insufficient and can be circumvented allowing attackers to write code which can escape from the VM2 sandbox and execute arbitrary commands on the host system. This issue has been patched in version 3.10.5.
SSVC
Exploitation: poc Automatable: yes Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-05-05 01:00 UTC
CWE
  • CWE-693 - Protection Mechanism Failure
  • CWE-94 - Improper Control of Generation of Code ('Code Injection')
  • CWE-807 - Reliance on Untrusted Inputs in a Security Decision
Impacted products
Show details on NVD website

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CVE-2026-24118 (GCVE-0-2026-24118)

Vulnerability from cvelistv5 – Published: 2026-05-04 16:28 – Updated: 2026-07-15 01:17
VLAI
Title
VM2 Sandbox Breakout Through __lookupGetter__
Summary
vm2 is an open source vm/sandbox for Node.js. Prior to version 3.11.0, VM2 suffers from a sandbox breakout vulnerability. This allows attackers to write code which can escape from the VM2 sandbox and execute arbitrary commands on the host system. This issue has been patched in version 3.11.0.
SSVC
Exploitation: poc Automatable: yes Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-05-04 18:24 UTC
CWE
  • CWE-94 - Improper Control of Generation of Code ('Code Injection')
  • CWE-693 - Protection Mechanism Failure
  • CWE-749 - Exposed Dangerous Method or Function
Impacted products
Show details on NVD website

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CVE-2026-23946 (GCVE-0-2026-23946)

Vulnerability from cvelistv5 – Published: 2026-01-22 00:09 – Updated: 2026-01-22 21:50
VLAI
Title
Tendenci has Authenticated Remote Code Execution via Pickle Deserialization
Summary
Tendenci is an open source content management system built for non-profits, associations and cause-based sites. Versions 15.3.11 and below include a critical deserialization vulnerability in the Helpdesk module (which is not enabled by default). This vulnerability allows Remote Code Execution (RCE) by an authenticated user with staff security level due to using Python's pickle module in helpdesk /reports/. The original CVE-2020-14942 was incompletely patched. While ticket_list() was fixed to use safe JSON deserialization, the run_report() function still uses unsafe pickle.loads(). The impact is limited to the permissions of the user running the application, typically www-data, which generally lacks write (except for upload directories) and execute permissions. This issue has been fixed in version 15.3.12.
SSVC
Exploitation: none Automatable: no Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-01-22 21:50 UTC
CWE
  • CWE-502 - Deserialization of Untrusted Data
  • CWE-94 - Improper Control of Generation of Code ('Code Injection')
Impacted products
Vendor Product Version
tendenci tendenci Affected: < 15.3.12
Create a notification for this product.
Show details on NVD website

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          "name": "https://docs.python.org/3/library/pickle.html#restricting-globals",
          "tags": [
            "x_refsource_MISC"
          ],
          "url": "https://docs.python.org/3/library/pickle.html#restricting-globals"
        },
        {
          "name": "https://github.com/advisories/GHSA-jqmc-fxxp-r589",
          "tags": [
            "x_refsource_MISC"
          ],
          "url": "https://github.com/advisories/GHSA-jqmc-fxxp-r589"
        },
        {
          "name": "https://github.com/tendenci/tendenci/releases/tag/v15.3.12",
          "tags": [
            "x_refsource_MISC"
          ],
          "url": "https://github.com/tendenci/tendenci/releases/tag/v15.3.12"
        }
      ],
      "source": {
        "advisory": "GHSA-339m-4qw5-j2g3",
        "discovery": "UNKNOWN"
      },
      "title": "Tendenci has Authenticated Remote Code Execution via Pickle Deserialization"
    }
  },
  "cveMetadata": {
    "assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
    "assignerShortName": "GitHub_M",
    "cveId": "CVE-2026-23946",
    "datePublished": "2026-01-22T00:09:24.205Z",
    "dateReserved": "2026-01-19T14:49:06.311Z",
    "dateUpdated": "2026-01-22T21:50:51.715Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.2"
}

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.