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.

8467 vulnerabilities reference this CWE, most recent first.

CVE-2026-70553 (GCVE-0-2026-70553)

Vulnerability from cvelistv5 – Published: 2026-08-04 19:37 – Updated: 2026-08-04 20:04
VLAI
Title
MaxSite CMS Unauthenticated RCE via Install Endpoint
Summary
MaxSite CMS contains a remote code execution vulnerability that allows unauthenticated attackers to inject arbitrary PHP code into the application configuration file by submitting crafted POST requests to the install endpoint after installation is complete. Attackers can supply a malicious db_dbprefix value containing a single quote to break out of a PHP string literal in application/config/database.php, appending attacker-controlled PHP statements that are executed by the web server on every subsequent request, resulting in persistent unauthenticated remote code execution as the web-server process user.
Severity
9.3 (Critical)
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N
9.8 (Critical)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
CWE
  • CWE-94 - Improper Control of Generation of Code ('Code Injection')
Assigner
References
Impacted products
Vendor Product Version
MaxSite MaxSite CMS Affected: 105.2 , ≤ 109.5 (custom)
Unaffected: 109.6 (custom)
Create a notification for this product.
Date Public
2026-08-04 00:00
Credits
Amir Aliu & Enrik Mustafa
Show details on NVD website
To clipboard 

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CVE-2026-70477 (GCVE-0-2026-70477)

Vulnerability from cvelistv5 – Published: 2026-08-04 19:29 – Updated: 2026-08-04 19:29
VLAI
Title
Flowise: CSV Agent Prompt Injection Remote Code Execution Vulnerability
Summary
Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.3, a prompt injection sent to a chatflow using a CSV Agent node can cause the LLM to respond with a malicious Python script that bypasses the blocklist validator and executes in an unsandboxed Pyodide environment. The specific flaw exists within the run method of the CSV_Agents class, where untrusted data is used to construct an LLM prompt and the resulting pythonCode is validated by validatePythonCodeForDataFrame before execution. An attacker can leverage this to execute arbitrary code in the context of the service account. This issue is fixed in 3.1.3.
Severity
9.5 (Critical)
CVSS:4.0/AV:N/AC:H/AT:P/PR:N/UI:N/VC:H/VI:H/VA:H/SC:H/SI:H/SA:H
CWE
  • CWE-94 - Improper Control of Generation of Code ('Code Injection')
Assigner
References
Impacted products
Vendor Product Version
FlowiseAI Flowise Affected: < 3.1.2
Create a notification for this product.
Show details on NVD website
To clipboard 

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CVE-2026-69264 (GCVE-0-2026-69264)

Vulnerability from cvelistv5 – Published: 2026-08-04 17:22 – Updated: 2026-08-04 17:53
VLAI
Title
Flowise: RCE via CSVAgent csvFile data URI base64 segment is interpolated into Python source without validation
Summary
Prior to 3.1.3, Flowise CSVAgent interpolates an attacker-controlled segment of the csvFile data URI directly into a Python source-code template that is then executed by Pyodide. Because Pyodide is loaded with the default js bridge to globalThis, which on Node.js exposes eval and dynamic import, the attacker can break out of the Python string literal, hand a JavaScript string to js.eval, dynamically import Node built-in modules such as fs and child_process, and execute arbitrary file I/O or OS commands as the Flowise process. The two validator paths around this code, validatePythonCodeForDataFrame and validateCustomReadCSVFunction, are never applied to the bootstrap template. A workspace user with chatflows:create or agentflows/chatflows update permission can plant a CSV Agent node with a crafted csvFile; once the chatflow is exposed via POST /api/v1/prediction/:id, any unauthenticated request triggers host remote code execution. This issue is fixed in version 3.1.3.
Severity
9.4 (Critical)
CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:H/SI:H/SA: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')
  • CWE-95 - Improper Neutralization of Directives in Dynamically Evaluated Code ('Eval Injection')
Assigner
References
Impacted products
Vendor Product Version
FlowiseAI Flowise Affected: < 3.1.3
Create a notification for this product.
Show details on NVD website
To clipboard 

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CVE-2026-69259 (GCVE-0-2026-69259)

Vulnerability from cvelistv5 – Published: 2026-08-04 16:05 – Updated: 2026-08-04 17:44
VLAI
Title
Flowise RCE via SQLite Record Manager Node
Summary
Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.3, the SQLite Record Manager node in packages/components/nodes/recordmanager/SQLiteRecordManager/SQLiteRecordManager.ts accepted user-controlled additionalConfig and spread it after the intended database setting, allowing additionalConfig.database to overwrite the SQLite database path. An authenticated attacker using the published Docker image, which ran as root, could write a SQLite database to paths such as /etc/chromium/exploit.conf; by controlling the table name and namespace value, the attacker could place shell syntax into the database file and trigger execution when Puppeteer launched Chromium and sourced /etc/chromium/*.conf. This issue is fixed in version 3.1.3.
Severity
9.4 (Critical)
CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:H/SI:H/SA: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
FlowiseAI Flowise Affected: < 3.1.3
Create a notification for this product.
Show details on NVD website
To clipboard 

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CVE-2026-69256 (GCVE-0-2026-69256)

Vulnerability from cvelistv5 – Published: 2026-08-04 15:45 – Updated: 2026-08-04 15:45
VLAI
Title
Flowise: Remote Code Execution Vulnerability in CSVAgent
Summary
Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.3, the CSVAgent node allowed users to provide Python code that is executed through pyodide; although a denylist blocked dangerous Python constructs, pandas.read_pickle() could deserialize a pickled payload and achieve code execution without matching the denied words. The affected file is flowise-components/nodes/agents/CSVAgent/CSVAgent.ts, where user-supplied customReadCSVFunc is evaluated as pd.${customReadCSVFunc}. An authenticated user who can create or modify a chatflow can add a CSV Agent, place a malicious read_pickle payload in the Additional Parameters, save the chatflow, and trigger /api/v1/prediction/<UUID> to execute commands. This issue is fixed in version 3.1.3.
Severity
9.4 (Critical)
CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:H/SI:H/SA:H
CWE
  • CWE-94 - Improper Control of Generation of Code ('Code Injection')
Assigner
References
Impacted products
Vendor Product Version
FlowiseAI Flowise Affected: < 3.1.3
Create a notification for this product.
Show details on NVD website
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CVE-2026-69255 (GCVE-0-2026-69255)

Vulnerability from cvelistv5 – Published: 2026-08-04 15:39 – Updated: 2026-08-04 19:52
VLAI
Title
Flowise: CSV Agent Remote Code Execution via Pyodide Code Injection — Root Shell Verified
Summary
Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.3, the CSVAgent in packages/components/nodes/agents/CSVAgent/CSVAgent.ts extracted attacker-controlled CSV data with file.split(',').pop() and interpolated it directly into executable Python as base64_string = "${base64String}" before calling Pyodide. The validatePythonCodeForDataFrame() denylist only checked later LLM-generated code and did not validate this initial code block. An authenticated attacker could inject a closing quote followed by Python code, use Pyodide's js bridge to load Node.js child_process, and execute arbitrary operating system commands as root in the Flowise container. This issue is fixed in version 3.1.3.
Severity
9.2 (Critical)
CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N
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
FlowiseAI Flowise Affected: < 3.1.3
Create a notification for this product.
Show details on NVD website
To clipboard 

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CVE-2026-69254 (GCVE-0-2026-69254)

Vulnerability from cvelistv5 – Published: 2026-08-04 15:28 – Updated: 2026-08-04 17:45
VLAI
Title
Flowise: RCE via NodeVM Sandbox Escape in executeJavaScriptCode() nodeVMOptions Override
Summary
Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.3, executeJavaScriptCode() accepted caller-provided nodeVMOptions and merged them over the default NodeVM security settings in packages/components/src/utils.ts. An authenticated attacker reaching packages/server/src/routes/node-custom-functions/index.ts could run a custom function that imported flowise-components/dist/src/utils.js, called executeJavaScriptCode() again with nodeVMOptions.require.builtin set to allow all built-in modules, and then required child_process to execute arbitrary system commands as root on the Flowise server. This issue is fixed in version 3.1.3.
Severity
9.4 (Critical)
CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:H/SI:H/SA: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
FlowiseAI Flowise Affected: < 3.1.3
Create a notification for this product.
Show details on NVD website
To clipboard 

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CVE-2026-69251 (GCVE-0-2026-69251)

Vulnerability from cvelistv5 – Published: 2026-08-04 14:27 – Updated: 2026-08-04 15:35
VLAI
Title
Flowise RCE via TypeORM DataSource
Summary
Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.3, Flowise record manager and agent memory nodes allowed users to set arbitrary TypeORM DataSource options through the additionalConfig input in packages/components/nodes/recordmanager/MySQLRecordManager/MySQLrecordManager.ts, packages/components/nodes/recordmanager/PostgresRecordManager/PostgresRecordManager.ts, packages/components/nodes/recordmanager/SQLiteRecordManager/SQLiteRecordManager.ts, packages/components/nodes/memory/AgentMemory/MySQLAgentMemory/MySQLAgentMemory.ts, and packages/components/nodes/memory/AgentMemory/AgentMemory.ts. TypeORM DataSource options such as entities, subscribers, and migrations can load local JavaScript files, allowing an authenticated user to execute arbitrary code on the server by uploading a JavaScript payload and referencing it from additionalConfig.entities. This issue is fixed in version 3.1.3.
Severity
9 (Critical)
CVSS:4.0/AV:N/AC:L/AT:P/PR:L/UI:N/VC:H/VI:H/VA:H/SC:H/SI:H/SA: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
Show details on NVD website
To clipboard 

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CVE-2026-69100 (GCVE-0-2026-69100)

Vulnerability from cvelistv5 – Published: 2026-08-04 15:20 – Updated: 2026-08-04 15:47 X_Open Source
VLAI
Title
LAMP 5.6.2 GlueFactory Unsandboxed Groovy Script Remote Code Execution
Summary
LAMP Rapid Development Platform through 5.6.2, fixed in commit 84b0c27, contains a remote code execution vulnerability in GlueFactory that executes unsandboxed Groovy scripts from database template fields without compilation restrictions or whitelisting. Attackers can write or influence the script field via message template endpoints to execute arbitrary Groovy code and OS commands on the backend server.
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
dromara lamp-cloud Affected: 0 , ≤ 5.6.2 (semver)
Unaffected: 84b0c27d3693e468c2c690d9fbc8ea9c22cd34e3 (git)
Create a notification for this product.
Date Public
2026-06-07 00:00
Credits
Lza, Fiona
Show details on NVD website
To clipboard 

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CVE-2026-69088 (GCVE-0-2026-69088)

Vulnerability from cvelistv5 – Published: 2026-08-03 13:20 – Updated: 2026-08-03 14:47
VLAI
Title
Grav CMS 2.0.7 through 2.0.10 Arbitrary Method Invocation via Blueprint
Summary
Grav CMS versions 2.0.7 through 2.0.10 fail to validate fully-qualified static method calls (Class::method) in blueprint dynamic-field directives because Blueprint::isSafeDynamicCall() only applies its dangerous-callable denylist to strings that do not contain '::'. An account with only page-editing rights (admin.pages, not super-admin or admin.pages_twig) can plant a directive in a page's form-field frontmatter that invokes an arbitrary public static PHP method with attacker-controlled arguments. Using built-in gadget methods this allows reading of any server-readable file (disclosed to anonymous visitors of the crafted page) and arbitrary creation/copying of files and directories under the web-server account. Fixed in 2.0.11.
Severity
8.6 (High)
CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:N/SC:N/SI:N/SA:N
8.1 (High)
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:N
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
getgrav grav Affected: 2.0.7 , < 2.0.11 (semver)
Unaffected: 2.0.11 (semver)
Create a notification for this product.
Date Public
2026-07-21 00:00
Credits
adamyordan
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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