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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-2026-40783 (GCVE-0-2026-40783)
Vulnerability from cvelistv5 – Published: 2026-06-17 09:51 – Updated: 2026-06-17 12:31
VLAI
Title
WordPress Blocksy Companion Pro plugin <= 2.1.37 - Remote Code Execution (RCE) vulnerability
Summary
Contributor Remote Code Execution (RCE) in Blocksy Companion Pro <= 2.1.37 versions.
Severity
9.9 (Critical)
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
1 reference
| URL | Tags |
|---|---|
| https://patchstack.com/database/wordpress/plugin/… | vdb-entry |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| Creative Themes | Blocksy Companion Pro |
Affected:
n/a , ≤ 2.1.37
(custom)
|
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CVE-2026-40911 (GCVE-0-2026-40911)
Vulnerability from cvelistv5 – Published: 2026-04-21 19:55 – Updated: 2026-04-22 13:22
VLAI
Title
WWBN AVideo YPTSocket WebSocket Broadcast Relay Leads to Unauthenticated Cross-User JavaScript Execution via Client-Side eval() Sinks
Summary
WWBN AVideo is an open source video platform. In versions 29.0 and prior, the YPTSocket plugin's WebSocket server relays attacker-supplied JSON message bodies to every connected client without sanitizing the `msg` or `callback` fields. On the client side, `plugin/YPTSocket/script.js` contains two `eval()` sinks fed directly by those relayed fields (`json.msg.autoEvalCodeOnHTML` at line 568 and `json.callback` at line 95). Because tokens are minted for anonymous visitors and never revalidated beyond decryption, an unauthenticated attacker can broadcast arbitrary JavaScript that executes in the origin of every currently-connected user (including administrators), resulting in universal account takeover, session theft, and privileged action execution. Commit c08694bf6264eb4decceb78c711baee2609b4efd contains a fix.
Severity
10 (Critical)
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
- CWE-94 - Improper Control of Generation of Code ('Code Injection')
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/WWBN/AVideo/security/advisorie… | x_refsource_CONFIRM |
| https://github.com/WWBN/AVideo/commit/c08694bf626… | x_refsource_MISC |
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CVE-2026-40967 (GCVE-0-2026-40967)
Vulnerability from cvelistv5 – Published: 2026-04-28 06:03 – Updated: 2026-04-29 13:29
VLAI
Summary
In Spring AI, various FilterExpressionConverter implementations accept a filter expression object and translate them to specific vector store query languages. In several cases, keys and values are not properly escaped, leading to the ability to alter the query.
Affected versions:
Spring AI: 1.0.0 - 1.0.5 (fixed in 1.0.6), 1.1.0 - 1.1.4 (fixed in 1.1.5)
Severity
8.6 (High)
SSVC
Exploitation: none
Automatable: yes
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
- CWE-94 - Improper Control of Generation of Code
Assigner
References
1 reference
Impacted products
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CVE-2026-41044 (GCVE-0-2026-41044)
Vulnerability from cvelistv5 – Published: 2026-04-24 10:16 – Updated: 2026-06-30 03:19
VLAI
Title
Apache ActiveMQ, Apache ActiveMQ Broker, Apache ActiveMQ All: Authenticated user can perform RCE via DestinationView MBean exposed by Jolokia
Summary
Improper Input Validation, Improper Control of Generation of Code ('Code Injection') vulnerability in Apache ActiveMQ, Apache ActiveMQ Broker, Apache ActiveMQ All.
An authenticated attacker can use the admin web console page to construct a malicious broker name that bypasses name validation to include an xbean binding that can be later used by a VM transport to load a remote Spring XML application.
The attacker can then use the DestinationView mbean to send a message to trigger a VM transport creation that will reference this malicious broker name which can lead to loading the malicious Spring XML context file.
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: before 5.19.6, from 6.0.0 before 6.2.5; 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.
Users are recommended to upgrade to version 6.2.5 or 5.19.6, which fixes the issue.
Severity
8.8 (High)
7.2 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
Assigner
References
5 references
| URL | Tags |
|---|---|
| https://activemq.apache.org/security-advisories.d… | vendor-advisory |
| http://www.openwall.com/lists/oss-security/2026/04/23/6 | |
| https://access.redhat.com/security/cve/CVE-2026-41044 | vdb-entryx_refsource_REDHAT |
| https://bugzilla.redhat.com/show_bug.cgi?id=2461409 | issue-trackingx_refsource_REDHAT |
| https://security.access.redhat.com/data/csaf/v2/v… | x_sadp-csaf-vex |
Impacted products
11 products
| Vendor | Product | Version | |
|---|---|---|---|
| Apache Software Foundation | Apache ActiveMQ |
Affected:
0 , < 5.19.6
(semver)
Affected: 6.0.0 , < 6.2.5 (semver) |
|
| Apache Software Foundation | Apache ActiveMQ Broker |
Affected:
0 , < 5.19.6
(semver)
Affected: 6.0.0 , < 6.2.5 (semver) |
|
| Apache Software Foundation | Apache ActiveMQ All |
Affected:
0 , < 5.19.6
(semver)
Affected: 6.0.0 , < 6.2.5 (semver) |
|
| Red Hat | Red Hat JBoss Enterprise Application Platform 7 |
cpe:/a:redhat:jboss_enterprise_application_platform:7 |
|
| Red Hat | Red Hat AMQ Broker 7 |
cpe:/a:redhat:amq_broker:7 |
|
| Red Hat | Red Hat Data Grid 8 |
cpe:/a:redhat:jboss_data_grid:8 |
|
| Red Hat | Red Hat Enterprise Linux 8 |
cpe:/o:redhat:enterprise_linux:8 |
|
| Red Hat | Red Hat Enterprise Linux 9 |
cpe:/o:redhat:enterprise_linux:9 |
|
| Red Hat | Red Hat Fuse 7 |
cpe:/a:redhat:jboss_fuse:7 |
|
| Red Hat | Red Hat JBoss Enterprise Application Platform 8 |
cpe:/a:redhat:jboss_enterprise_application_platform:8 |
|
| Red Hat | Red Hat JBoss Enterprise Application Platform Expansion Pack |
cpe:/a:redhat:jbosseapxp |
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CVE-2026-41094 (GCVE-0-2026-41094)
Vulnerability from cvelistv5 – Published: 2026-05-12 16:58 – Updated: 2026-06-19 16:12
VLAI
Title
Microsoft Data Formulator Remote Code Execution Vulnerability
Summary
Improper control of generation of code ('code injection') in Microsoft Data Formulator allows an unauthorized attacker to execute code over a network.
Severity
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
1 reference
| URL | Tags |
|---|---|
| https://msrc.microsoft.com/update-guide/vulnerabi… | vendor-advisorypatch |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| Microsoft | Microsoft Data Formulator |
Affected:
1 , < 0.7
(custom)
|
Date Public
2026-05-12 14:00
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CVE-2026-41134 (GCVE-0-2026-41134)
Vulnerability from cvelistv5 – Published: 2026-04-22 20:20 – Updated: 2026-04-27 13:35
VLAI
Title
Kiota: Code Generation Literal Injection
Summary
Kiota is an OpenAPI based HTTP Client code generator. Versions prior to 1.31.1 are affected by a code-generation literal injection vulnerability in multiple writer sinks (for example: serialization/deserialization keys, path/query parameter mappings, URL template metadata, enum/property metadata, and default value emission). When malicious values from an OpenAPI description are emitted into generated source without context-appropriate escaping, an attacker can break out of string literals and inject additional code into generated clients. This issue is only practically exploitable when the OpenAPI description used for generation is from an untrusted source, or a normally trusted OpenAPI description has been compromised/tampered with. Only generating from trusted, integrity-protected API descriptions significantly reduces the risk. To remediate the issue, upgrade Kiota to 1.31.1 or later and regenerate/refresh existing generated clients as a precaution. Refreshing generated clients ensures previously generated vulnerable code is replaced with hardened output.
Severity
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
1 reference
| URL | Tags |
|---|---|
| https://github.com/microsoft/kiota/security/advis… | x_refsource_CONFIRM |
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CVE-2026-41137 (GCVE-0-2026-41137)
Vulnerability from cvelistv5 – Published: 2026-04-23 19:10 – Updated: 2026-04-23 20:20
VLAI
Title
Flowise: Code Injection in CSVAgent leads to Authenticated RCE
Summary
Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.0, The CSVAgent allows providing a custom Pandas CSV read code. Due to lack of sanitization, an attacker can provide a command injection payload that will get interpolated and executed by the server. This vulnerability is fixed in 3.1.0.
Severity
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
1 reference
| URL | Tags |
|---|---|
| https://github.com/FlowiseAI/Flowise/security/adv… | x_refsource_CONFIRM |
Impacted products
2 products
| Vendor | Product | Version | |
|---|---|---|---|
| FlowiseAI | Flowise |
Affected:
< 3.1.0
|
|
| FlowiseAI | flowise-components |
Affected:
< 3.1.0
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CVE-2026-41138 (GCVE-0-2026-41138)
Vulnerability from cvelistv5 – Published: 2026-04-23 19:05 – Updated: 2026-04-24 18:20
VLAI
Title
Flowise: Remote code execution vulnerability in AirtableAgent.ts caused by lack of input verification when using Pandas.
Summary
Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.0, there is a remote code execution vulnerability in AirtableAgent.ts caused by lack of input verification when using Pandas. The user’s input is directly applied to the question parameter within the prompt template and it is reflected to the Python code without any sanitization. This vulnerability is fixed in 3.1.0.
Severity
8.3 (High)
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
1 reference
| URL | Tags |
|---|---|
| https://github.com/FlowiseAI/Flowise/security/adv… | x_refsource_CONFIRM |
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CVE-2026-41148 (GCVE-0-2026-41148)
Vulnerability from cvelistv5 – Published: 2026-05-22 22:03 – Updated: 2026-05-27 13:25
VLAI
Title
Mermaid: Improper sanitization of `classDefs` in diagrams leads to CSS injection
Summary
Mermaid is a JavaScript tool that uses Markdown-inspired text to create and modify diagrams and charts. Versions 10.9.5 and prior, in addition to 11.0.0-alpha.1 through 11.12.0 are vulnerable to CSS injection through improper sanitization. The state diagram (and any other diagram type that routes user-controlled style strings through the createCssStyles parser) captures classDef values using an unrestricted regex that matches everything up to a newline. That value then flows unsanitized through addStyleClass() into createCssStyles() and is assigned to style.innerHTML, so a closing brace (}) in the value terminates the generated CSS selector and turns everything after it into a new CSS rule on the page. This enables page defacement, user tracking via url() callbacks, and DOM attribute exfiltration. This issue has been fixed in versions 10.9.6 and 11.15.0. If developers are unable to immediately upgrade, they can work around this issue by setting "securityLevel": "sandbox", which prevents the issue by rendering the mermaid diagram in a sandboxed <iframe>.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
- CWE-94 - Improper Control of Generation of Code ('Code Injection')
Assigner
References
6 references
| URL | Tags |
|---|---|
| https://github.com/mermaid-js/mermaid/security/ad… | x_refsource_CONFIRM |
| https://github.com/mermaid-js/mermaid/commit/8fea… | x_refsource_MISC |
| https://github.com/mermaid-js/mermaid/commit/e9b0… | x_refsource_MISC |
| https://github.com/mermaid-js/mermaid/releases/ta… | x_refsource_MISC |
| https://github.com/mermaid-js/mermaid/releases/ta… | x_refsource_MISC |
| https://mermaid.js.org/config/schema-docs/config.… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| mermaid-js | mermaid |
Affected:
>= 11.0.0-alpha.1, < 11.15.0
Affected: < 10.9.6 |
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CVE-2026-41149 (GCVE-0-2026-41149)
Vulnerability from cvelistv5 – Published: 2026-05-22 22:34 – Updated: 2026-05-23 03:22
VLAI
Title
Mermaid: Improper sanitization of `classDef` in state diagrams leads to HTML injection
Summary
Mermaid is a JavaScript tool that uses Markdown-inspired text to create and modify diagrams and charts. Versions 10.9.5 and earlier, as well as 11.0.0-alpha.1 through 11.14.0, are vulnerable to HTML injection under the default configuration. Specifically, the classDef directive in Mermaid state diagrams permits DOM injection that escapes the SVG context. However, <script> tags are stripped, which prevents cross-site scripting (XSS). This issue has been fixed in versions 10.9.6 and 11.15.0. If developers are unable to immediately upgrade, they can work around this issue by setting "securityLevel": "sandbox", which prevents the issue by rendering the mermaid diagram in a sandboxed <iframe>.
Severity
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
3 references
| URL | Tags |
|---|---|
| https://github.com/mermaid-js/mermaid/security/ad… | x_refsource_CONFIRM |
| https://github.com/mermaid-js/mermaid/commit/37ff… | x_refsource_MISC |
| https://github.com/mermaid-js/mermaid/commit/4e2d… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| mermaid-js | mermaid |
Affected:
>= 11.0.0-alpha.1, < 11.15.0
Affected: < 10.9.6 |
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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.