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-2022-25812 (GCVE-0-2022-25812)
Vulnerability from cvelistv5 – Published: 2022-08-22 14:59 – Updated: 2024-08-03 04:49
VLAI
Title
Transposh WordPress Translation < 1.0.8 - Admin+ RCE
Summary
The Transposh WordPress Translation WordPress plugin before 1.0.8 does not validate its debug settings, which could allow allowing high privilege users such as admin to perform RCE
Severity
No CVSS data available.
CWE
- CWE-94 - Improper Control of Generation of Code ('Code Injection')
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://wpscan.com/vulnerability/1f6bd346-4743-44… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| Unknown | Transposh WordPress Translation |
Affected:
1.0.8 , < 1.0.8
(custom)
|
Credits
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CVE-2022-2636 (GCVE-0-2022-2636)
Vulnerability from cvelistv5 – Published: 2022-08-05 09:30 – Updated: 2024-08-03 00:46
VLAI
Title
Code Injection in hestiacp/hestiacp
Summary
Improper Control of Generation of Code ('Code Injection') in GitHub repository hestiacp/hestiacp prior to 1.6.6.
Severity
8.5 (High)
CWE
- CWE-94 - Improper Control of Generation of Code ('Code Injection')
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/hestiacp/hestiacp/commit/b178b… | x_refsource_MISC |
| https://huntr.dev/bounties/357c0390-631c-4684-b6e… | x_refsource_CONFIRM |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| hestiacp | hestiacp/hestiacp |
Affected:
unspecified , < 1.6.6
(custom)
|
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CVE-2022-27837 (GCVE-0-2022-27837)
Vulnerability from cvelistv5 – Published: 2022-04-11 19:37 – Updated: 2024-08-03 05:41
VLAI
Summary
A vulnerability using PendingIntent in Accessibility prior to version 12.5.3.2 in Android R(11.0) and 13.0.1.1 in Android S(12.0) allows attacker to access the file with system privilege.
Severity
4.4 (Medium)
CWE
- CWE-94 - Improper Control of Generation of Code ('Code Injection')
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://security.samsungmobile.com/serviceWeb.sms… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| Samsung Mobile | Accessibility |
Affected:
- , < 12.5.3.2 in Android R(11.0) and 13.0.1.1 in Android S(12.0)
(custom)
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CVE-2022-28766 (GCVE-0-2022-28766)
Vulnerability from cvelistv5 – Published: 2022-11-17 22:36 – Updated: 2025-04-29 19:37
VLAI
Title
DLL injection in Zoom Windows Clients
Summary
Windows 32-bit versions of the Zoom Client for Meetings before 5.12.6 and Zoom Rooms for Conference Room before version 5.12.6 are susceptible to a DLL injection vulnerability. A local low-privileged user could exploit this vulnerability to run arbitrary code in the context of the Zoom client.
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
1 reference
Impacted products
3 products
| Vendor | Product | Version | |
|---|---|---|---|
| Zoom Video Communications Inc | Zoom Client for Meetings for Windows (32-bit) |
Affected:
unspecified , < 5.12.6
(custom)
|
|
| Zoom Video Communications Inc | Zoom VDI Windows Meeting Client for Windows (32-bit) |
Affected:
unspecified , < 5.12.6
(custom)
|
|
| Zoom Video Communications Inc | Zoom Rooms for Conference Room for Windows (32-bit) |
Affected:
unspecified , < 5.12.6
(custom)
|
Date Public
2022-11-15 00:00
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CVE-2022-29216 (GCVE-0-2022-29216)
Vulnerability from cvelistv5 – Published: 2022-05-20 23:35 – Updated: 2025-04-22 17:56
VLAI
Title
Code injection in `saved_model_cli` in TensorFlow
Summary
TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, TensorFlow's `saved_model_cli` tool is vulnerable to a code injection. This can be used to open a reverse shell. This code path was maintained for compatibility reasons as the maintainers had several test cases where numpy expressions were used as arguments. However, given that the tool is always run manually, the impact of this is still not severe. The maintainers have now removed the `safe=False` argument, so all parsing is done without calling `eval`. The patch is available in versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4.
Severity
7.8 (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
8 references
| URL | Tags |
|---|---|
| https://github.com/tensorflow/tensorflow/commit/8… | x_refsource_MISC |
| https://github.com/tensorflow/tensorflow/releases… | x_refsource_MISC |
| https://github.com/tensorflow/tensorflow/releases… | x_refsource_MISC |
| https://github.com/tensorflow/tensorflow/releases… | x_refsource_MISC |
| https://github.com/tensorflow/tensorflow/releases… | x_refsource_MISC |
| https://github.com/tensorflow/tensorflow/security… | x_refsource_CONFIRM |
| https://github.com/tensorflow/tensorflow/commit/c… | x_refsource_MISC |
| https://github.com/tensorflow/tensorflow/blob/f3b… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| tensorflow | tensorflow |
Affected:
< 2.6.4
Affected: >= 2.7.0rc0, < 2.7.2 Affected: >= 2.8.0rc0, < 2.8.1 Affected: >= 2.9.0rc0, < 2.9.0 |
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CVE-2022-29221 (GCVE-0-2022-29221)
Vulnerability from cvelistv5 – Published: 2022-05-24 00:00 – Updated: 2025-04-23 18:22
VLAI
Title
PHP Code Injection by malicious block or filename in Smarty
Summary
Smarty is a template engine for PHP, facilitating the separation of presentation (HTML/CSS) from application logic. Prior to versions 3.1.45 and 4.1.1, template authors could inject php code by choosing a malicious {block} name or {include} file name. Sites that cannot fully trust template authors should upgrade to versions 3.1.45 or 4.1.1 to receive a patch for this issue. There are currently no known workarounds.
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
9 references
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| smarty-php | smarty |
Affected:
< 3.1.45
Affected: >= 4.0.0, < 4.1.1 |
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CVE-2022-29813 (GCVE-0-2022-29813)
Vulnerability from cvelistv5 – Published: 2022-04-28 09:55 – Updated: 2024-08-03 06:33
VLAI
Summary
In JetBrains IntelliJ IDEA before 2022.1 local code execution via custom Pandoc path was possible
Severity
6.9 (Medium)
CWE
- CWE-94 - Improper Control of Generation of Code ('Code Injection')
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://www.jetbrains.com/privacy-security/issues… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
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CVE-2022-29814 (GCVE-0-2022-29814)
Vulnerability from cvelistv5 – Published: 2022-04-28 09:55 – Updated: 2024-08-03 06:33
VLAI
Summary
In JetBrains IntelliJ IDEA before 2022.1 local code execution via HTML descriptions in custom JSON schemas was possible
Severity
6.9 (Medium)
CWE
- CWE-94 - Improper Control of Generation of Code ('Code Injection')
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://www.jetbrains.com/privacy-security/issues… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
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Affected:
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CVE-2022-29815 (GCVE-0-2022-29815)
Vulnerability from cvelistv5 – Published: 2022-04-28 09:55 – Updated: 2024-08-03 06:33
VLAI
Summary
In JetBrains IntelliJ IDEA before 2022.1 local code execution via workspace settings was possible
Severity
6.9 (Medium)
CWE
- CWE-94 - Improper Control of Generation of Code ('Code Injection')
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://www.jetbrains.com/privacy-security/issues… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| JetBrains | IntelliJ IDEA |
Affected:
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CVE-2022-29819 (GCVE-0-2022-29819)
Vulnerability from cvelistv5 – Published: 2022-04-28 09:55 – Updated: 2024-08-03 06:33
VLAI
Summary
In JetBrains IntelliJ IDEA before 2022.1 local code execution via links in Quick Documentation was possible
Severity
6.9 (Medium)
CWE
- CWE-94 - Improper Control of Generation of Code ('Code Injection')
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://www.jetbrains.com/privacy-security/issues… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| JetBrains | IntelliJ IDEA |
Affected:
2022.1 , < 2022.1
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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.