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.

8812 vulnerabilities reference this CWE, most recent first.

CVE-2026-61536 (GCVE-0-2026-61536)

Vulnerability from cvelistv5 – Published: 2026-07-30 16:50 – Updated: 2026-07-31 23:01
VLAI
Title
Banks: Unsafe importlib.import_module of attacker-controlled Tool.import_path in CompletionExtension allows RCE
Summary
Banks generates meaningful LLM prompts using a simple template language. In versions prior to 2.4.3, banks parses Tool JSON objects from the rendered body of {% completion %} blocks and later resolves their import_path field through importlib.import_module(...) + getattr(...) to obtain the callable that handles a tool call. There is no allowlist or sanitization on import_path, so any importable Python attribute (e.g. os.system, subprocess.getoutput) can be selected. When the LLM emits a tool_calls entry whose function.name matches the attacker-supplied tool name, the resolved callable is invoked with kwargs decoded from tool_call.function.arguments, yielding arbitrary code execution in the banks-hosting process. This is distinct from GHSA-gphh-9q3h-jgpp / CVE-2026-44209. That advisory was fixed in 2.4.2 by switching src/banks/env.py from Environment to SandboxedEnvironment. The fix does not touch src/banks/extensions/completion.py, and the unsafe import + getattr chain still executes on 2.4.2. The malicious Tool JSON is plain text in the rendered template body — it requires no Jinja attribute access, so the sandbox is irrelevant. This issue has been fixed in version 2.4.3.
SSVC
Exploitation: poc Automatable: no Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-07-31 23:00 UTC
CWE
  • CWE-94 - Improper Control of Generation of Code ('Code Injection')
  • CWE-470 - Use of Externally-Controlled Input to Select Classes or Code ('Unsafe Reflection')
References
Impacted products
Vendor Product Version
masci banks Affected: < 2.4.3
Create a notification for this product.
Show details on NVD website

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CVE-2026-61523 (GCVE-0-2026-61523)

Vulnerability from cvelistv5 – Published: 2026-08-03 17:18 – Updated: 2026-08-14 16:50 X_Open Source
VLAI
Title
WebsiteBaker CMS < 2.13.10 Code Injection via Droplets Editor
Summary
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SSVC
Exploitation: poc Automatable: no Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-08-03 18:10 UTC
CWE
  • CWE-94 - Improper Control of Generation of Code ('Code Injection')
Impacted products
Vendor Product Version
WebsiteBaker Org e.V. WebsiteBaker CMS Affected: 0 , < 2.13.10 (semver)
    cpe:2.3:a:websitebaker:websitebaker:*:*:*:*:*:*:*:*
Create a notification for this product.
Date Public
2026-06-20 00:00
Show details on NVD website

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CVE-2026-61450 (GCVE-0-2026-61450)

Vulnerability from cvelistv5 – Published: 2026-07-10 13:58 – Updated: 2026-07-10 15:46
VLAI
Title
Grav before 2.0.2 Config Exfiltration via offsetGet Filter
Summary
Grav before 2.0.2 contains a Twig sandbox bypass that allows a page author (any admin.pages user, or anyone able to write to user/pages) to exfiltrate configuration secrets. Although the sandbox replaces the 'config' variable with a redacted facade and strips Config::get/toArray from the method allowlist, the raw container remains accessible via the allow-listed grav.offsetGet('config'), which returns the real Config object. Allow-listed object-dumping filters (json_encode, print_r, yaml_encode) then serialize that object at the PHP level without invoking the sandbox method gate, exposing the full config tree including plugin secrets such as SMTP credentials, API keys, and plugin DB credentials. This is an incomplete fix for GHSA-j274-39qw-32c9.
SSVC
Exploitation: poc Automatable: no Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-07-10 15:46 UTC
CWE
  • CWE-94 - Improper Control of Generation of Code ('Code Injection')
References
Impacted products
Vendor Product Version
getgrav grav Affected: 0 , < 2.0.2 (semver)
Unaffected: 2.0.2 (semver)
    cpe:2.3:a:getgrav:grav:*:*:*:*:*:*:*:*
Create a notification for this product.
Date Public
2026-06-25 00:00
Credits
Show details on NVD website

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CVE-2026-61447 (GCVE-0-2026-61447)

Vulnerability from cvelistv5 – Published: 2026-07-11 13:01 – Updated: 2026-07-13 15:21
VLAI
Title
PraisonAI before 1.6.78 Remote Code Execution via CodeAgent
Summary
PraisonAI before 1.6.78 contains a remote code execution vulnerability in CodeAgent._execute_python() that executes LLM-generated Python code without AST validation, import restrictions, or sandbox enforcement. Attackers can influence LLM output through prompt injection to exfiltrate all environment secrets and execute arbitrary code on the host system.
SSVC
Exploitation: poc Automatable: yes Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-07-13 15:21 UTC
CWE
  • CWE-94 - Improper Control of Generation of Code ('Code Injection')
References
Impacted products
Vendor Product Version
MervinPraison PraisonAI Affected: 0 , < 1.6.78 (semver)
Unaffected: 1.6.78 (semver)
    cpe:2.3:a:praison:praisonai:*:*:*:*:*:*:*:*
Create a notification for this product.
Date Public
2026-06-25 00:00
Show details on NVD website

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CVE-2026-61446 (GCVE-0-2026-61446)

Vulnerability from cvelistv5 – Published: 2026-07-15 11:25 – Updated: 2026-07-15 13:25
VLAI
Title
PraisonAI before 1.6.78 Remote Code Execution via Plugin Auto-Discovery
Summary
PraisonAI (praisonaiagents) before 1.6.78 contains a remote code execution vulnerability in the plugin manager, which loads and executes arbitrary Python (.py) files from project-level and user-home .praisonai/plugins/ directories using importlib spec_from_file_location() and exec_module() without code signing, integrity verification, or sandboxing. An attacker who can write a malicious .py file to a plugin directory (for example via path traversal, a supply chain attack, or a compromised dependency) achieves arbitrary code execution when the plugin system initializes.
SSVC
Exploitation: none Automatable: no Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-07-15 13:20 UTC
CWE
  • CWE-94 - Improper Control of Generation of Code ('Code Injection')
References
Impacted products
Vendor Product Version
MervinPraison PraisonAI Affected: 0 , < 1.6.78 (semver)
Unaffected: 1.6.78 (semver)
    cpe:2.3:a:praison:praisonai:*:*:*:*:*:*:*:*
Create a notification for this product.
Date Public
2026-06-25 00:00
Show details on NVD website

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CVE-2026-61444 (GCVE-0-2026-61444)

Vulnerability from cvelistv5 – Published: 2026-07-10 13:58 – Updated: 2026-07-10 20:30
VLAI
Title
PraisonAI before 4.6.78 Code Injection via f-string
Summary
PraisonAI versions before 4.6.78 contain a code injection vulnerability in deploy/api.py where the agents_file parameter is directly interpolated into an f-string without sanitization. Attackers can inject arbitrary Python code that executes when the generated server code runs via subprocess.Popen().
SSVC
Exploitation: poc Automatable: no Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-07-10 20:29 UTC
CWE
  • CWE-94 - Improper Control of Generation of Code ('Code Injection')
References
Impacted products
Vendor Product Version
MervinPraison PraisonAI Affected: 0 , < 4.6.78 (semver)
Unaffected: 4.6.78 (semver)
    cpe:2.3:a:praison:praisonai:*:*:*:*:*:*:*:*
Create a notification for this product.
Date Public
2026-06-25 00:00
Show details on NVD website

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CVE-2026-61433 (GCVE-0-2026-61433)

Vulnerability from cvelistv5 – Published: 2026-07-15 11:25 – Updated: 2026-07-15 13:25
VLAI
Title
PraisonAI before 4.6.78 Code Injection via API deployment generator
Summary
PraisonAI before 4.6.78 fails to safely encode deployment configuration values when generating Python source code for API servers. Attackers can inject arbitrary Python expressions through the deploy.api.host and agents_file configuration parameters that execute when the generated server starts or handles requests.
SSVC
Exploitation: none Automatable: no Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-07-15 13:20 UTC
CWE
  • CWE-94 - Improper Control of Generation of Code ('Code Injection')
Impacted products
Vendor Product Version
MervinPraison PraisonAI Affected: 0 , < 4.6.78 (semver)
Unaffected: 4.6.78 (semver)
    cpe:2.3:a:praison:praisonai:*:*:*:*:*:*:*:*
Create a notification for this product.
Date Public
2026-06-25 00:00
Show details on NVD website

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CVE-2026-60122 (GCVE-0-2026-60122)

Vulnerability from cvelistv5 – Published: 2026-07-23 19:18 – Updated: 2026-07-28 01:49 X_Open Source
VLAI
Title
gpsd gpsprof Code Injection via SKY.satellites used Field
Summary
gpsd through release-3.27.5, fixed at commit 4c06658, contains a code injection vulnerability in the gpsprof utility that allows an attacker who controls GPS input data to execute arbitrary OS commands by injecting malicious content into the SKY.satellites[].used field, which is inserted unsanitized into a gnuplot heredoc data block. Attackers can supply a used value containing the string EOD to terminate the heredoc early and append gnuplot system() calls, achieving OS command execution as the user running gpsprof when the generated plot script is processed by gnuplot in polar mode.
SSVC
Exploitation: none Automatable: no Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-07-27 16:14 UTC
CWE
  • CWE-94 - Improper Control of Generation of Code ('Code Injection')
Impacted products
Vendor Product Version
gpsd gpsd Affected: 0 , ≤ 3.27.5 (semver)
Unaffected: 5a9c44a42136b9bb98d460a8a716e9fd344a8d93 (git)
    cpe:2.3:a:gpsd_project:gpsd:*:*:*:*:*:*:*:*
Create a notification for this product.
Date Public
2026-07-23 00:00
Show details on NVD website

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CVE-2026-60026 (GCVE-0-2026-60026)

Vulnerability from cvelistv5 – Published: 2026-07-20 18:11 – Updated: 2026-07-23 14:58
VLAI
Title
Joomla Extension - themexpert.com - Authenticated PHP code execution in Quix Page Builder < 6.2.1
Summary
Joomla Extension - themexpert.com - Authenticated PHP code execution in Quix Page Builder < 6.2.1 - The Joomla extension Quix Page Builder Pro is vulnerable to an authenticated PHP code execution. Authenticated builder user (core.create/core.edit) could inject PHP tags in element content, that got executed via view-cache include(). Requires caching on (default).
SSVC
Exploitation: none Automatable: no Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-07-21 16:26 UTC
CWE
  • CWE-94 - Improper Control of Generation of Code ('Code Injection')
References
Impacted products
Show details on NVD website

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CVE-2026-60004 (GCVE-0-2026-60004)

Vulnerability from cvelistv5 – Published: 2026-08-26 19:45 – Updated: 2026-08-26 22:56
VLAI
Summary
Gitea before 1.27.1 allows remote code execution via the diffpatch API through Git hook installation.
CWE
  • CWE-94 - Improper Control of Generation of Code ('Code Injection')
Impacted products
Vendor Product Version
Gitea Gitea Affected: 1.17 , < 1.27.1 (custom)
    cpe:2.3:a:gitea:gitea:*:*:*:*:*:*:*:*
Create a notification for this product.
Show details on NVD website

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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.