Common Weakness Enumeration
CWE-94
Allowed-with-ReviewImproper 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-2026-23852 (GCVE-0-2026-23852)
Vulnerability from cvelistv5 – Published: 2026-01-19 20:00 – Updated: 2026-01-20 20:05
VLAI
EPSS
VEX
Title
SiYuan vulnerable to Stored XSS / RCE via `setBlockAttrs` icon attribute
Summary
SiYuan is a personal knowledge management system. Versions prior to 3.5.4 have a stored Cross-Site Scripting (XSS) vulnerability that allows an attacker to inject arbitrary HTML attributes into the `icon` attribute of a block via the `/api/attr/setBlockAttrs` API. The payload is later rendered in the dynamic icon feature in an unsanitized context, leading to stored XSS and, in the desktop environment, potential remote code execution (RCE). This issue bypasses the previous fix for issue `#15970` (XSS → RCE via dynamic icons). Version 3.5.4 contains an updated fix.
Severity
SSVC
Exploitation: none
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-01-20 20:03 UTC
CWE
- CWE-94 - Improper Control of Generation of Code ('Code Injection')
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/siyuan-note/siyuan/security/ad… | x_refsource_CONFIRM |
| https://github.com/siyuan-note/siyuan/commit/0be7… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| siyuan-note | siyuan |
Affected:
< 3.5.4
|
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CVE-2026-23830 (GCVE-0-2026-23830)
Vulnerability from cvelistv5 – Published: 2026-01-27 23:32 – Updated: 2026-01-28 15:09
VLAI
EPSS
VEX
Title
SandboxJS has Sandbox Escape via Unprotected AsyncFunction Constructor
Summary
SandboxJS is a JavaScript sandboxing library. Versions prior to 0.8.26 have a sandbox escape vulnerability due to `AsyncFunction` not being isolated in `SandboxFunction`. The library attempts to sandbox code execution by replacing the global `Function` constructor with a safe, sandboxed version (`SandboxFunction`). This is handled in `utils.ts` by mapping `Function` to `sandboxFunction` within a map used for lookups. However, before version 0.8.26, the library did not include mappings for `AsyncFunction`, `GeneratorFunction`, and `AsyncGeneratorFunction`. These constructors are not global properties but can be accessed via the `.constructor` property of an instance (e.g., `(async () => {}).constructor`). In `executor.ts`, property access is handled. When code running inside the sandbox accesses `.constructor` on an async function (which the sandbox allows creating), the `executor` retrieves the property value. Since `AsyncFunction` was not in the safe-replacement map, the `executor` returns the actual native host `AsyncFunction` constructor. Constructors for functions in JavaScript (like `Function`, `AsyncFunction`) create functions that execute in the global scope. By obtaining the host `AsyncFunction` constructor, an attacker can create a new async function that executes entirely outside the sandbox context, bypassing all restrictions and gaining full access to the host environment (Remote Code Execution). Version 0.8.26 patches this vulnerability.
Severity
10 (Critical)
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-01-28 15:09 UTC
CWE
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/nyariv/SandboxJS/security/advi… | x_refsource_CONFIRM |
| https://github.com/nyariv/SandboxJS/commit/345aee… | x_refsource_MISC |
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CVE-2026-23742 (GCVE-0-2026-23742)
Vulnerability from cvelistv5 – Published: 2026-01-16 20:07 – Updated: 2026-01-16 20:24
VLAI
EPSS
VEX
Title
Skipper arbitrary code execution through lua filters
Summary
Skipper is an HTTP router and reverse proxy for service composition. The default skipper configuration before 0.23.0 was -lua-sources=inline,file. The problem starts if untrusted users can create lua filters, because of -lua-sources=inline , for example through a Kubernetes Ingress resource. The configuration inline allows these user to create a script that is able to read the filesystem accessible to the skipper process and if the user has access to read the logs, they an read skipper secrets. This vulnerability is fixed in 0.23.0.
Severity
8.8 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-01-16 20:22 UTC
CWE
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/zalando/skipper/security/advis… | x_refsource_CONFIRM |
| https://github.com/zalando/skipper/commit/0b52894… | x_refsource_MISC |
| https://github.com/zalando/skipper/releases/tag/v0.23.0 | x_refsource_MISC |
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CVE-2026-23733 (GCVE-0-2026-23733)
Vulnerability from cvelistv5 – Published: 2026-01-18 22:56 – Updated: 2026-01-20 20:06
VLAI
EPSS
VEX
Title
Lobe Chat has Cross-Site Scripting (XSS) issue that may escalate to Remote Code Execution (RCE)
Summary
LobeChat is an open source chat application platform. Prior to version 2.0.0-next.180, a stored Cross-Site Scripting (XSS) vulnerability in the Mermaid artifact renderer allows attackers to execute arbitrary JavaScript within the application context. This XSS can be escalated to Remote Code Execution (RCE) by leveraging the exposed `electronAPI` IPC bridge, allowing attackers to run arbitrary system commands on the victim's machine. Version 2.0.0-next.180 patches the issue.
Severity
6.4 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-01-20 19:37 UTC
CWE
- CWE-94 - Improper Control of Generation of Code ('Code Injection')
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://github.com/lobehub/lobe-chat/security/adv… | x_refsource_CONFIRM |
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CVE-2026-23523 (GCVE-0-2026-23523)
Vulnerability from cvelistv5 – Published: 2026-01-16 16:29 – Updated: 2026-01-16 16:47
VLAI
EPSS
VEX
Title
Dive allows One-click Remote Code Execution through Deep Links for MCP Install
Summary
Dive is an open-source MCP Host Desktop Application that enables integration with function-calling LLMs. Prior to 0.13.0, crafted deeplink can install an attacker-controlled MCP server configuration without sufficient user confirmation and can lead to arbitrary local command execution on the victim’s machine. This vulnerability is fixed in 0.13.0.
Severity
9.7 (Critical)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-01-16 16:47 UTC
CWE
- CWE-94 - Improper Control of Generation of Code ('Code Injection')
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/OpenAgentPlatform/Dive/securit… | x_refsource_CONFIRM |
| https://github.com/OpenAgentPlatform/Dive/commit/… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| OpenAgentPlatform | Dive |
Affected:
< 0.13.0
|
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CVE-2026-23498 (GCVE-0-2026-23498)
Vulnerability from cvelistv5 – Published: 2026-01-14 18:31 – Updated: 2026-01-14 21:15
VLAI
EPSS
VEX
Title
Shopware Improper Control of Generation of Code in Twig rendered views
Summary
Shopware is an open commerce platform. From 6.7.0.0 to before 6.7.6.1, a regression of CVE-2023-2017 leads to an array and array crafted PHP Closure not checked being against allow list for the map(...) override. This vulnerability is fixed in 6.7.6.1.
Severity
7.2 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-01-14 21:15 UTC
CWE
- CWE-94 - Improper Control of Generation of Code ('Code Injection')
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/shopware/shopware/security/adv… | x_refsource_CONFIRM |
| https://github.com/shopware/shopware/commit/3966b… | x_refsource_MISC |
Impacted products
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CVE-2026-22869 (GCVE-0-2026-22869)
Vulnerability from cvelistv5 – Published: 2026-01-13 20:38 – Updated: 2026-01-14 23:26
VLAI
EPSS
VEX
Title
Eigent Allows Arbitrary Code Execution via pull_request_target CI Workflow
Summary
Eigent is a multi-agent Workforce. A critical security vulnerability in the CI workflow (.github/workflows/ci.yml) allows arbitrary code execution from fork pull requests with repository write permissions. The vulnerable workflow uses pull_request_target trigger combined with checkout of untrusted PR code. An attacker can exploit this to steal credentials, post comments, push code, or create releases.
Severity
SSVC
Exploitation: none
Automatable: yes
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-01-14 23:25 UTC
CWE
- CWE-94 - Improper Control of Generation of Code ('Code Injection')
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://github.com/eigent-ai/eigent/security/advi… | x_refsource_CONFIRM |
| https://github.com/eigent-ai/eigent/pull/836 | x_refsource_MISC |
| https://github.com/eigent-ai/eigent/pull/837 | x_refsource_MISC |
| https://github.com/eigent-ai/eigent/commit/bf0250… | x_refsource_MISC |
Impacted products
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CVE-2026-22807 (GCVE-0-2026-22807)
Vulnerability from cvelistv5 – Published: 2026-01-21 21:13 – Updated: 2026-07-21 12:05
VLAI
EPSS
VEX
Title
vLLM affected by RCE via auto_map dynamic module loading during model initialization
Summary
vLLM is an inference and serving engine for large language models (LLMs). Starting in version 0.10.1 and prior to version 0.14.0, vLLM loads Hugging Face `auto_map` dynamic modules during model resolution without gating on `trust_remote_code`, allowing attacker-controlled Python code in a model repo/path to execute at server startup. An attacker who can influence the model repo/path (local directory or remote Hugging Face repo) can achieve arbitrary code execution on the vLLM host during model load. This happens before any request handling and does not require API access. Version 0.14.0 fixes the issue.
Severity
8.8 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-01-22 15:11 UTC
CWE
- CWE-94 - Improper Control of Generation of Code ('Code Injection')
Assigner
References
17 references
Impacted products
15 products
| Vendor | Product | Version | |
|---|---|---|---|
| vllm-project | vllm |
Affected:
>= 0.10.1, < 0.14.0
|
|
| Red Hat | Red Hat AI Inference Server 3.2 |
Unaffected:
1772160593 , < *
(rpm)
cpe:/a:redhat:ai_inference_server:3.2::el9 |
|
| Red Hat | Red Hat AI Inference Server 3.2 |
Unaffected:
1772160625 , < *
(rpm)
cpe:/a:redhat:ai_inference_server:3.2::el9 |
|
| Red Hat | Red Hat AI Inference Server 3.3 |
Unaffected:
1782352919 , < *
(rpm)
cpe:/a:redhat:ai_inference_server:3.3::el9 |
|
| Red Hat | Red Hat AI Inference Server 3.3 |
Unaffected:
1782353093 , < *
(rpm)
cpe:/a:redhat:ai_inference_server:3.3::el9 |
|
| Red Hat | Red Hat AI Inference Server 3.3 |
Unaffected:
1782352847 , < *
(rpm)
cpe:/a:redhat:ai_inference_server:3.3::el9 |
|
| Red Hat | Red Hat OpenShift AI 2.25 |
Unaffected:
1776259063 , < *
(rpm)
cpe:/a:redhat:openshift_ai:2.25::el9 |
|
| Red Hat | Red Hat OpenShift AI 2.25 |
Unaffected:
1772093278 , < *
(rpm)
cpe:/a:redhat:openshift_ai:2.25::el9 |
|
| Red Hat | Red Hat OpenShift AI 2.25 |
Unaffected:
1783998774 , < *
(rpm)
cpe:/a:redhat:openshift_ai:2.25::el9 |
|
| Red Hat | Red Hat OpenShift AI 2.25 |
Unaffected:
1783998857 , < *
(rpm)
cpe:/a:redhat:openshift_ai:2.25::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.3 |
Unaffected:
1770956034 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.3::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1772204861 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat AI Inference Server |
cpe:/a:redhat:ai_inference_server:3
|
|
| Red Hat | Red Hat Enterprise Linux AI (RHEL AI) 3 |
cpe:/a:redhat:enterprise_linux_ai:3
|
|
| Red Hat | Red Hat OpenShift AI (RHOAI) |
cpe:/a:redhat:openshift_ai
|
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CVE-2026-22793 (GCVE-0-2026-22793)
Vulnerability from cvelistv5 – Published: 2026-01-21 21:06 – Updated: 2026-01-21 21:26
VLAI
EPSS
VEX
Title
5ire vulnerable to Remote Code Execution (RCE) via ECharts
Summary
5ire is a cross-platform desktop artificial intelligence assistant and model context protocol client. Prior to version 0.15.3, an unsafe option parsing vulnerability in the ECharts Markdown plugin allows any user able to submit ECharts code blocks to execute arbitrary JavaScript code in the renderer context. This can lead to Remote Code Execution (RCE) in environments where privileged APIs (such as Electron’s electron.mcp) are exposed, resulting in full compromise of the host system. Version 0.15.3 patches the issue.
Severity
9.7 (Critical)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-01-21 21:25 UTC
CWE
- CWE-94 - Improper Control of Generation of Code ('Code Injection')
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/nanbingxyz/5ire/security/advis… | x_refsource_CONFIRM |
| https://github.com/nanbingxyz/5ire/releases/tag/v0.15.3 | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| nanbingxyz | 5ire |
Affected:
< 0.15.3
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CVE-2026-22771 (GCVE-0-2026-22771)
Vulnerability from cvelistv5 – Published: 2026-01-12 18:08 – Updated: 2026-07-15 01:19
VLAI
EPSS
VEX
Title
Envoy Extension Policy lua scripts injection causes arbitrary command execution
Summary
Envoy Gateway is an open source project for managing Envoy Proxy as a standalone or Kubernetes-based application gateway. Prior to 1.5.7 and 1.6.2, EnvoyExtensionPolicy Lua scripts executed by Envoy proxy can be used to leak the proxy's credentials. These credentials can then be used to communicate with the control plane and gain access to all secrets that are used by Envoy proxy, e.g. TLS private keys and credentials used for downstream and upstream communication. This vulnerability is fixed in 1.5.7 and 1.6.2.
Severity
8.8 (High)
SSVC
Exploitation: none
Automatable: yes
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-01-12 18:49 UTC
CWE
- CWE-94 - Improper Control of Generation of Code ('Code Injection')
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://github.com/envoyproxy/gateway/security/ad… | x_refsource_CONFIRM |
| https://access.redhat.com/security/cve/CVE-2026-22771 | vdb-entryx_refsource_REDHAT |
| https://bugzilla.redhat.com/show_bug.cgi?id=2428735 | issue-trackingx_refsource_REDHAT |
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Impacted products
2 products
| Vendor | Product | Version | |
|---|---|---|---|
| envoyproxy | gateway |
Affected:
< 1.5.7
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| Red Hat | Red Hat Connectivity Link 1 |
cpe:/a:redhat:connectivity_link:1
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"time": "2026-01-12T18:08:22.532Z",
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"title": "envoyproxy/gateway: Envoy Gateway: Unauthorized access to secrets via Lua script credential leakage",
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"confidentialityImpact": "HIGH",
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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.