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-2025-23209 (GCVE-0-2025-23209)
Vulnerability from cvelistv5 – Published: 2025-01-18 00:32 – Updated: 2026-02-26 19:09
VLAI
Title
Potential RCE with a compromised security key in craft/cms
Summary
Craft is a flexible, user-friendly CMS for creating custom digital experiences on the web and beyond. This is an remote code execution (RCE) vulnerability that affects Craft 4 and 5 installs where your security key has already been compromised. Anyone running an unpatched version of Craft with a compromised security key is affected. This vulnerability has been patched in Craft 5.5.8 and 4.13.8. Users who cannot update to a patched version, should rotate their security keys and ensure their privacy to help migitgate the issue.
Severity
8.1 (High)
SSVC
Exploitation: active
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/craftcms/cms/security/advisori… | x_refsource_CONFIRM |
| https://github.com/craftcms/cms/commit/e59e22b30c… | x_refsource_MISC |
| https://craftcms.com/knowledge-base/securing-craf… | x_refsource_MISC |
| https://www.cisa.gov/known-exploited-vulnerabilit… | government-resource |
Impacted products
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CVE-2025-23251 (GCVE-0-2025-23251)
Vulnerability from cvelistv5 – Published: 2025-04-22 15:42 – Updated: 2026-02-26 18:28
VLAI
Summary
NVIDIA NeMo Framework contains a vulnerability where a user could cause an improper control of generation of code by remote code execution. A successful exploit of this vulnerability might lead to code execution and data tampering.
Severity
7.6 (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
1 reference
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| NVIDIA | NeMo Framework |
Affected:
All versions prior to 25.02
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CVE-2025-23264 (GCVE-0-2025-23264)
Vulnerability from cvelistv5 – Published: 2025-06-24 15:21 – Updated: 2025-06-24 15:41
VLAI
Summary
NVIDIA Megatron-LM for all platforms contains a vulnerability in a python component where an attacker may cause a code injection issue by providing a malicious file. A successful exploit of this vulnerability may lead to Code Execution, Escalation of Privileges, Information Disclosure and Data Tampering.
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
1 reference
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| NVIDIA | Megatron LM |
Affected:
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CVE-2025-23265 (GCVE-0-2025-23265)
Vulnerability from cvelistv5 – Published: 2025-06-24 15:29 – Updated: 2025-06-24 15:42
VLAI
Summary
NVIDIA Megatron-LM for all platforms contains a vulnerability in a python component where an attacker may cause a code injection issue by providing a malicious file. A successful exploit of this vulnerability may lead to Code Execution, Escalation of Privileges, Information Disclosure and Data Tampering.
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
1 reference
Impacted products
1 product
| Vendor | Product | Version | |
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| NVIDIA | Megatron LM |
Affected:
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CVE-2025-23295 (GCVE-0-2025-23295)
Vulnerability from cvelistv5 – Published: 2025-08-13 17:19 – Updated: 2026-02-26 17:48
VLAI
Summary
NVIDIA Apex for all platforms contains a vulnerability in a Python component where an attacker could cause a code injection issue by providing a malicious file. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, information disclosure, and data tampering.
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
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| NVIDIA | NVIDIA Apex |
Affected:
All versions before release 25.07
|
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CVE-2025-23296 (GCVE-0-2025-23296)
Vulnerability from cvelistv5 – Published: 2025-08-13 17:25 – Updated: 2025-08-13 18:17
VLAI
Summary
NVIDIA Isaac-GR00T for all platforms contains a vulnerability in a Python component where an attacker could cause a code injection issue. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, information disclosure, and data tampering.
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
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| NVIDIA | NVIDIA Isaac-GR00T N1 |
Affected:
All versions that do not include code commit 9ca97e1
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CVE-2025-23298 (GCVE-0-2025-23298)
Vulnerability from cvelistv5 – Published: 2025-08-13 17:28 – Updated: 2025-08-13 18:05
VLAI
Summary
NVIDIA Merlin Transformers4Rec for all platforms contains a vulnerability in a python dependency, where an attacker could cause a code injection issue. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, information disclosure, and data tampering.
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
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| NVIDIA | NVIDIA Merlin Transformers4Rec |
Affected:
All versions that do not include code commit b7eaea5
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CVE-2025-23305 (GCVE-0-2025-23305)
Vulnerability from cvelistv5 – Published: 2025-08-13 17:35 – Updated: 2025-08-13 18:02
VLAI
Summary
NVIDIA Megatron-LM for all platforms contains a vulnerability in the tools component, where an attacker may exploit a code injection issue. A successful exploit of this vulnerability may lead to code execution, escalation of privileges, information disclosure, and data tampering.
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
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| NVIDIA | Megatron-LM |
Affected:
All versions prior to 0.12.2
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CVE-2025-23306 (GCVE-0-2025-23306)
Vulnerability from cvelistv5 – Published: 2025-08-13 17:35 – Updated: 2025-08-13 17:59
VLAI
Summary
NVIDIA Megatron-LM for all platforms contains a vulnerability in the megatron/training/
arguments.py component where an attacker could cause a code injection issue by providing a malicious input. A successful exploit of this vulnerability may lead to code execution, escalation of privileges, information disclosure, and data tampering.
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
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| NVIDIA | Megatron-LM |
Affected:
All versions prior to 0.12.2
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CVE-2025-23307 (GCVE-0-2025-23307)
Vulnerability from cvelistv5 – Published: 2025-08-26 18:25 – Updated: 2026-02-26 17:48
VLAI
Summary
NVIDIA NeMo Curator for all platforms contains a vulnerability where a malicious file created by an attacker could allow code injection. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, information disclosure, and data tampering.
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
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| NVIDIA | NVIDIA NeMo Curator |
Affected:
All versions prior to Curator 25.07
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"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
"version": "3.1"
},
"format": "CVSS",
"scenarios": [
{
"lang": "en",
"value": "GENERAL"
}
]
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-94",
"description": "CWE-94 Improper Control of Generation of Code (\u0027Code Injection\u0027)",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2025-08-26T18:25:04.845Z",
"orgId": "9576f279-3576-44b5-a4af-b9a8644b2de6",
"shortName": "nvidia"
},
"references": [
{
"url": "https://nvd.nist.gov/vuln/detail/CVE-2025-23307"
},
{
"url": "https://www.cve.org/CVERecord?id=CVE-2025-23307"
},
{
"url": "https://nvidia.custhelp.com/app/answers/detail/a_id/5690"
}
],
"source": {
"discovery": "UNKNOWN"
},
"x_generator": {
"engine": "NVIDIA PSIRT"
}
}
},
"cveMetadata": {
"assignerOrgId": "9576f279-3576-44b5-a4af-b9a8644b2de6",
"assignerShortName": "nvidia",
"cveId": "CVE-2025-23307",
"datePublished": "2025-08-26T18:25:04.845Z",
"dateReserved": "2025-01-14T01:06:27.219Z",
"dateUpdated": "2026-02-26T17:48:10.497Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2"
}
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.