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-2021-47952 (GCVE-0-2021-47952)
Vulnerability from cvelistv5 – Published: 2026-05-16 15:26 – Updated: 2026-05-26 11:51
VLAI
Title
python jsonpickle 2.0.0 Remote Code Execution via py/repr
Summary
python jsonpickle 2.0.0 contains a remote code execution vulnerability that allows attackers to execute arbitrary Python commands by deserializing malicious JSON payloads containing py/repr objects. Attackers can craft JSON strings with py/repr directives that invoke the eval function during deserialization to execute arbitrary code.
Severity
9.8 (Critical)
SSVC
Exploitation: poc
Automatable: yes
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://www.exploit-db.com/exploits/49585 | exploit |
| https://jsonpickle.github.io | product |
| https://github.com/jsonpickle/jsonpickle | product |
| https://www.vulncheck.com/advisories/python-jsonp… | third-party-advisory |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| Jsonpickle | python jsonpickle |
Affected:
2.0.0
|
Date Public
2021-02-24 00:00
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CVE-2021-47964 (GCVE-0-2021-47964)
Vulnerability from cvelistv5 – Published: 2026-05-15 18:36 – Updated: 2026-05-18 16:02
VLAI
Title
Schlix CMS 2.2.6-6 Remote Code Execution via core.blockmanager
Summary
Schlix CMS 2.2.6-6 contains a remote code execution vulnerability that allows authenticated attackers to execute arbitrary PHP code by uploading malicious extension packages through the block manager. Attackers can upload a crafted ZIP file containing PHP code in the packageinfo.inc file and trigger execution by accessing the About tab of the installed extension.
Severity
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
4 references
| URL | Tags |
|---|---|
| https://www.exploit-db.com/exploits/49838 | exploit |
| https://www.schlix.com/ | product |
| https://www.schlix.com/downloads/schlix-cms/schli… | product |
| https://www.vulncheck.com/advisories/schlix-cms-6… | third-party-advisory |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| Schlix | Schlix CMS |
Affected:
2.2.6-6
|
Date Public
2021-05-06 00:00
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CVE-2022-0578 (GCVE-0-2022-0578)
Vulnerability from cvelistv5 – Published: 2022-05-16 14:31 – Updated: 2024-08-02 23:32
VLAI
Title
Code Injection in publify/publify
Summary
Code Injection in GitHub repository publify/publify prior to 9.2.8.
Severity
5.3 (Medium)
CWE
- CWE-94 - Improper Control of Generation of Code
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://huntr.dev/bounties/02c81928-eb47-476f-800… | x_refsource_CONFIRM |
| https://github.com/publify/publify/commit/b50df05… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| publify | publify/publify |
Affected:
unspecified , < 9.2.8
(custom)
|
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CVE-2022-0661 (GCVE-0-2022-0661)
Vulnerability from cvelistv5 – Published: 2022-04-18 17:10 – Updated: 2024-08-02 23:32
VLAI
Title
Ad Injection <= 1.2.0.19 - Admin+ Stored Cross-Site Scripting & RCE
Summary
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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/3c5a7b03-d4c3-46… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| Unknown | Ad Injection |
Affected:
1.2.0.19 , ≤ 1.2.0.19
(custom)
|
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CVE-2022-0811 (GCVE-0-2022-0811)
Vulnerability from cvelistv5 – Published: 2022-03-16 14:03 – Updated: 2024-08-02 23:40
VLAI
Summary
A flaw was found in CRI-O in the way it set kernel options for a pod. This issue allows anyone with rights to deploy a pod on a Kubernetes cluster that uses the CRI-O runtime to achieve a container escape and arbitrary code execution as root on the cluster node, where the malicious pod was deployed.
Severity
No CVSS data available.
CWE
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://bugzilla.redhat.com/show_bug.cgi?id=2059475 | x_refsource_MISC |
| https://github.com/cri-o/cri-o/security/advisorie… | x_refsource_MISC |
Impacted products
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CVE-2022-0819 (GCVE-0-2022-0819)
Vulnerability from cvelistv5 – Published: 2022-03-02 15:40 – Updated: 2024-08-02 23:40
VLAI
Title
Code Injection in dolibarr/dolibarr
Summary
Code Injection in GitHub repository dolibarr/dolibarr prior to 15.0.1.
Severity
7.2 (High)
CWE
- CWE-94 - Improper Control of Generation of Code
Assigner
References
2 references
| URL | Tags |
|---|---|
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| https://github.com/dolibarr/dolibarr/commit/2a48d… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| dolibarr | dolibarr/dolibarr |
Affected:
unspecified , < 15.0.1
(custom)
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CVE-2022-0845 (GCVE-0-2022-0845)
Vulnerability from cvelistv5 – Published: 2022-03-05 21:25 – Updated: 2024-08-02 23:40
VLAI
Title
Code Injection in pytorchlightning/pytorch-lightning
Summary
Code Injection in GitHub repository pytorchlightning/pytorch-lightning prior to 1.6.0.
Severity
7.3 (High)
CWE
- CWE-94 - Improper Control of Generation of Code
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://huntr.dev/bounties/a795bf93-c91e-4c79-aae… | x_refsource_CONFIRM |
| https://github.com/pytorchlightning/pytorch-light… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| pytorchlightning | pytorchlightning/pytorch-lightning |
Affected:
unspecified , < 1.6.0
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CVE-2022-0921 (GCVE-0-2022-0921)
Vulnerability from cvelistv5 – Published: 2022-03-11 17:25 – Updated: 2024-08-02 23:47
VLAI
Title
Abusing Backup/Restore feature to achieve Remote Code Execution in microweber/microweber
Summary
Abusing Backup/Restore feature to achieve Remote Code Execution in GitHub repository microweber/microweber prior to 1.2.12.
Severity
7.2 (High)
CWE
- CWE-94 - Improper Control of Generation of Code
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://huntr.dev/bounties/e368be37-1cb4-4292-8d4… | x_refsource_CONFIRM |
| https://github.com/microweber/microweber/commit/8… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| microweber | microweber/microweber |
Affected:
unspecified , < 1.2.12
(custom)
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CVE-2022-1159 (GCVE-0-2022-1159)
Vulnerability from cvelistv5 – Published: 2022-04-01 22:17 – Updated: 2025-04-16 17:57
VLAI
Title
Rockwell Automation Studio 5000 Logix Designer Code Injection
Summary
Rockwell Automation Studio 5000 Logix Designer (all versions) are vulnerable when an attacker who achieves administrator access on a workstation running Studio 5000 Logix Designer could inject controller code undetectable to a user.
Severity
7.7 (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
| URL | Tags |
|---|---|
| https://www.cisa.gov/uscert/ics/advisories/icsa-2… | x_refsource_CONFIRM |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| Rockwell Automation | Studio 5000 Logix Designer |
Affected:
All
|
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CVE-2022-1575 (GCVE-0-2022-1575)
Vulnerability from cvelistv5 – Published: 2022-05-05 11:45 – Updated: 2024-08-03 00:10
VLAI
Title
Arbitrary Code Execution through Sanitizer Bypass in jgraph/drawio
Summary
Arbitrary Code Execution through Sanitizer Bypass in GitHub repository jgraph/drawio prior to 18.0.0. - Arbitrary (remote) code execution in the desktop app. - Stored XSS in the web app.
Severity
9.6 (Critical)
CWE
- CWE-94 - Improper Control of Generation of Code
Assigner
References
2 references
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| https://github.com/jgraph/drawio/commit/f768ed738… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| jgraph | jgraph/drawio |
Affected:
unspecified , < 18.0.0
(custom)
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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.