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.
8287 vulnerabilities reference this CWE, most recent first.
CVE-2023-37273 (GCVE-0-2023-37273)
Vulnerability from cvelistv5 – Published: 2023-07-13 22:33 – Updated: 2024-10-30 18:46
VLAI
EPSS
VEX
Title
Docker escape in Auto-GPT when running from docker-compose.yml included in git repo
Summary
Auto-GPT is an experimental open-source application showcasing the capabilities of the GPT-4 language model. Running Auto-GPT version prior to 0.4.3 by cloning the git repo and executing `docker compose run auto-gpt` in the repo root uses a different docker-compose.yml file from the one suggested in the official docker set up instructions. The docker-compose.yml file located in the repo root mounts itself into the docker container without write protection. This means that if malicious custom python code is executed via the `execute_python_file` and `execute_python_code` commands, it can overwrite the docker-compose.yml file and abuse it to gain control of the host system the next time Auto-GPT is started. The issue has been patched in version 0.4.3.
Severity
8.1 (High)
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
2 references
| URL | Tags |
|---|---|
| https://github.com/Significant-Gravitas/Auto-GPT/… | x_refsource_CONFIRM |
| https://github.com/Significant-Gravitas/Auto-GPT/… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| Significant-Gravitas | Auto-GPT |
Affected:
< 0.4.3
|
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CVE-2023-37199 (GCVE-0-2023-37199)
Vulnerability from cvelistv5 – Published: 2023-07-12 07:04 – Updated: 2024-11-07 14:44
VLAI
EPSS
VEX
Summary
A CWE-94: Improper Control of Generation of Code ('Code Injection') vulnerability exists that
could cause remote code execution when an admin user on DCE tampers with backups which
are then manually restored.
Severity
6.8 (Medium)
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
Impacted products
2 products
| Vendor | Product | Version | |
|---|---|---|---|
| Schneider Electric | StruxureWare Data Center Expert |
Affected:
v7.9.3 and earlier
|
|
| schneider-electric | struxureware_data_center_expert |
Affected:
0 , ≤ 7.9.3
(custom)
cpe:2.3:a:schneider-electric:struxureware_data_center_expert:*:*:*:*:*:*:*:* |
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CVE-2023-37198 (GCVE-0-2023-37198)
Vulnerability from cvelistv5 – Published: 2023-07-12 06:44 – Updated: 2024-11-07 14:45
VLAI
EPSS
VEX
Summary
A CWE-94: Improper Control of Generation of Code ('Code Injection') vulnerability exists that
could cause remote code execution when an admin user on DCE uploads or tampers with install
packages.
Severity
6.8 (Medium)
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
Impacted products
2 products
| Vendor | Product | Version | |
|---|---|---|---|
| Schneider Electric | StruxureWare Data Center Expert |
Affected:
v7.9.3 and earlier
|
|
| schneider-electric | struxureware_data_center_expert |
Affected:
0 , ≤ 7.9.3
(custom)
cpe:2.3:a:schneider-electric:struxureware_data_center_expert:*:*:*:*:*:*:*:* |
Date Public
2023-07-11 06:22
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CVE-2023-36923 (GCVE-0-2023-36923)
Vulnerability from cvelistv5 – Published: 2023-08-08 00:36 – Updated: 2024-10-10 19:03
VLAI
EPSS
VEX
Title
Code Injection vulnerability in SAP PowerDesigner
Summary
SAP SQLA for PowerDesigner 17 bundled with SAP PowerDesigner 16.7 SP06 PL03, allows an attacker with local access to the system, to place a malicious library, that can be executed by the application. An attacker could thereby control the behavior of the application.
Severity
7.8 (High)
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
2 references
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| SAP_SE | SAP PowerDesigner |
Affected:
16.7
|
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CVE-2023-36859 (GCVE-0-2023-36859)
Vulnerability from cvelistv5 – Published: 2023-07-06 22:51 – Updated: 2024-11-14 14:04
VLAI
EPSS
VEX
Title
PiiGAB M-Bus Code Injection
Summary
PiiGAB M-Bus
SoftwarePack 900S
does not correctly sanitize user input, which could allow an attacker to inject arbitrary commands.
Severity
8.8 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
- CWE-94 - Code Injection
Assigner
References
1 reference
Impacted products
2 products
| Vendor | Product | Version | |
|---|---|---|---|
| PiiGAB | M-Bus SoftwarePack |
Affected:
900S
|
|
| piigab | m-bus_900s |
Affected:
900s
cpe:2.3:h:piigab:m-bus_900s:-:*:*:*:*:*:*:* |
Date Public
2023-07-06 22:42
Credits
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CVE-2023-36789 (GCVE-0-2023-36789)
Vulnerability from cvelistv5 – Published: 2023-10-10 17:08 – Updated: 2025-04-14 22:45
VLAI
EPSS
VEX
Title
Skype for Business Remote Code Execution Vulnerability
Summary
Skype for Business Remote Code Execution Vulnerability
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-advisory |
Impacted products
2 products
| Vendor | Product | Version | |
|---|---|---|---|
| Microsoft | Skype for Business Server 2019 CU7 |
Affected:
2046.0 , < 7.0.246.530
(custom)
|
|
| Microsoft | Skype for Business Server 2015 CU13 |
Affected:
9319.0 , < 6.0.9319.869
(custom)
|
Date Public
2023-10-10 07:00
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CVE-2023-36542 (GCVE-0-2023-36542)
Vulnerability from cvelistv5 – Published: 2023-07-29 07:12 – Updated: 2025-02-13 16:56
VLAI
EPSS
VEX
Title
Apache NiFi: Potential Code Injection with Properties Referencing Remote Resources
Summary
Apache NiFi 0.0.2 through 1.22.0 include Processors and Controller Services that support HTTP URL references for retrieving drivers, which allows an authenticated and authorized user to configure a location that enables custom code execution. The resolution introduces a new Required Permission for referencing remote resources, restricting configuration of these components to privileged users. The permission prevents unprivileged users from configuring Processors and Controller Services annotated with the new Reference Remote Resources restriction. Upgrading to Apache NiFi 1.23.0 is the recommended mitigation.
Severity
8.8 (High)
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
4 references
Impacted products
2 products
| Vendor | Product | Version | |
|---|---|---|---|
| Apache Software Foundation | Apache NiFi |
Affected:
0.0.2 , ≤ 1.22.0
(semver)
|
|
| apache | nifi |
Affected:
0.0.2 , ≤ 1.22.0
(custom)
cpe:2.3:a:apache:nifi:*:*:*:*:*:*:*:* |
Credits
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CVE-2023-36467 (GCVE-0-2023-36467)
Vulnerability from cvelistv5 – Published: 2023-06-28 13:55 – Updated: 2024-11-06 17:17
VLAI
EPSS
VEX
Title
AWS data.all vulnerable to RCE through user injection of Python Commands
Summary
AWS data.all is an open source development framework to help users build a data marketplace on Amazon Web Services. data.all versions 1.2.0 through 1.5.1 do not prevent remote code execution when a user injects Python commands into the ‘Template’ field when configuring a data pipeline. The issue can only be triggered by authenticated users. A fix for this issue is available in data.all version 1.5.2 and later. There is no recommended work around.
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
4 references
| URL | Tags |
|---|---|
| https://github.com/awslabs/aws-dataall/security/a… | x_refsource_CONFIRM |
| https://github.com/awslabs/aws-dataall/pull/472 | x_refsource_MISC |
| https://github.com/awslabs/aws-dataall/releases/t… | x_refsource_MISC |
| https://github.com/awslabs/aws-dataall/releases/t… | x_refsource_MISC |
Impacted products
2 products
| Vendor | Product | Version | |
|---|---|---|---|
| awslabs | aws-dataall |
Affected:
>= 1.2.0, < 1.5.2
|
|
| amazon | aws-dataall |
Affected:
1.2.0 , < 1.5.2
(custom)
cpe:2.3:a:amazon:aws-dataall:*:*:*:*:*:*:*:* |
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CVE-2023-36437 (GCVE-0-2023-36437)
Vulnerability from cvelistv5 – Published: 2023-11-14 20:17 – Updated: 2025-10-08 23:59
VLAI
EPSS
VEX
Title
Azure DevOps Server Remote Code Execution Vulnerability
Summary
Azure DevOps Server Remote Code Execution Vulnerability
Severity
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-advisory |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| Microsoft | Azure Pipelines Agent |
Affected:
1.0.0 , < 2.39.1
(custom)
|
Date Public
2023-11-14 08:00
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CVE-2023-35926 (GCVE-0-2023-35926)
Vulnerability from cvelistv5 – Published: 2023-06-22 13:29 – Updated: 2024-12-05 17:48
VLAI
EPSS
VEX
Title
Insecure sandbox in Backstage Scaffolder plugin
Summary
Backstage is an open platform for building developer portals. The Backstage scaffolder-backend plugin uses a templating library that requires sandbox, as it by design allows for code injection. The library used for this sandbox so far has been `vm2`, but in light of several past vulnerabilities and existing vulnerabilities that may not have a fix, the plugin has switched to using a different sandbox library. A malicious actor with write access to a registered scaffolder template could manipulate the template in a way that allows for remote code execution on the scaffolder-backend instance. This was only exploitable in the template YAML definition itself and not by user input data. This is vulnerability is fixed in version 1.15.0 of `@backstage/plugin-scaffolder-backend`.
Severity
8.1 (High)
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
3 references
| URL | Tags |
|---|---|
| https://github.com/backstage/backstage/security/a… | x_refsource_CONFIRM |
| https://github.com/backstage/backstage/commit/fb7… | x_refsource_MISC |
| https://github.com/backstage/backstage/releases/t… | x_refsource_MISC |
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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.