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.
3754 vulnerabilities reference this CWE, most recent first.
CVE-2026-110186 (GCVE-0-2026-110186)
Vulnerability from cvelistv5 – Published: 2026-10-29 15:15 – Updated: 2026-10-30 17:18
VLAI
EPSS
VEX
Title
Langflow OSS is affected by multiple vulnerabilities
Summary
IBM Langflow OSS 1.0.0 through 1.12.8 could allow a remote attacker to execute arbitrary code due to improper control of code generation.
Severity
9.8 (Critical)
SSVC
Exploitation: none
Automatable: yes
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-10-30 03:56 UTC
CWE
- CWE-94 - Improper Control of Generation of Code ('Code Injection')
Assigner
ibm
CNA
References
1 reference
| URL | Tags |
|---|---|
| https://www.ibm.com/support/pages/node/7294467 | vendor-advisorypatch |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| IBM | Langflow OSS |
Affected:
1.0.0 , ≤ 1.12.8
(semver)
cpe:2.3:a:ibm:langflow_oss:1.0.0:*:*:*:*:*:*:* cpe:2.3:a:ibm:langflow_oss:1.12.8:*:*:*:*:*:*:* |
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CVE-2026-109803 (GCVE-0-2026-109803)
Vulnerability from cvelistv5 – Published: 2026-11-10 00:38 – Updated: 2026-11-10 00:38
VLAI
EPSS
VEX
Title
Code Injection vulnerability in SAP NetWeaver Knowledge Management (XML Forms)
Summary
SAP NetWeaver Knowledge Management (XML Forms) does not sufficiently restrict the selection of XSL transformations processed by the affected functionality. Under certain conditions, an authenticated user with access to the affected functionality could cause an unauthorized XSL transformation to be processed, potentially leading to arbitrary code execution in the application context. Successful exploitation could impact the confidentiality, integrity, and availability of the application.
Severity
9.9 (Critical)
CWE
- CWE-94 - Improper Control of Generation of Code
Assigner
sap
CNA
References
2 references
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| SAP_SE | SAP NetWeaver Knowledge Management (XML Forms) |
Affected:
KMC-CM 7.50
|
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CVE-2026-109795 (GCVE-0-2026-109795)
Vulnerability from cvelistv5 – Published: 2026-11-10 00:37 – Updated: 2026-11-10 00:37
VLAI
EPSS
VEX
Title
Missing authorization check in S4CRM
Summary
SAP NetWeaver does not perform necessary authorization checks and lacks sufficient input validation in certain remote-enabled functionality. An attacker with low privileges could send specially crafted input through a remote interface to inject and execute arbitrary code within the affected system. Successful exploitation could extend the attacker's reach beyond the vulnerable component, resulting in a high impact on confidentiality, integrity and availability.
Severity
9.9 (Critical)
CWE
- CWE-94 - Improper Control of Generation of Code
Assigner
sap
CNA
References
2 references
Impacted products
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CVE-2026-109347 (GCVE-0-2026-109347)
Vulnerability from cvelistv5 – Published: 2026-10-12 16:05 – Updated: 2026-10-15 02:50
VLAI
EPSS
VEX
Title
Adminer before 6.1.1 RCE via UTF-8 BOM SQLite ATTACH Bypass
Summary
Adminer before 6.1.1 contains a remote code execution vulnerability that allows authenticated SQLite users to bypass ATTACH and VACUUM INTO restrictions by prefixing statements with a UTF-8 byte-order mark. Attackers can attach a database file at a PHP-served path and create a table named with PHP code to execute it as the web server user.
Severity
SSVC
Exploitation: poc
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-10-15 02:50 UTC
CWE
- CWE-94 - Improper Control of Generation of Code ('Code Injection')
Assigner
VulnCheck
CNA
References
2 references
| URL | Tags |
|---|---|
| https://github.com/vrana/adminer/security/advisor… | vendor-advisory |
| https://www.vulncheck.com/advisories/adminer-befo… | third-party-advisory |
Impacted products
Date Public
2026-09-25 00:00
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CVE-2026-109308 (GCVE-0-2026-109308)
Vulnerability from cvelistv5 – Published: 2026-10-12 16:05 – Updated: 2026-10-13 15:47
VLAI
EPSS
VEX
Title
Craft CMS 4.0.0 before 4.18.7 and 5.0.0 before 5.10.14 RCE via actionCacheUpdates Behavior Injection
Summary
Craft CMS 4.0.0 before 4.18.7 and 5.0.0 before 5.10.14 passes the raw 'updates' request parameter in AppController::actionCacheUpdates to UpdatesModel without Component::cleanseConfig(), allowing behavior and event-handler injection. Authenticated control panel users with the performUpdates permission or Updates-utility access can supply 'as' or 'on' keys, such as an AttributeTypecastBehavior gadget, to execute arbitrary code.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-10-13 15:46 UTC
CWE
- CWE-94 - Improper Control of Generation of Code ('Code Injection')
Assigner
VulnCheck
CNA
References
2 references
| URL | Tags |
|---|---|
| https://github.com/craftcms/cms/security/advisori… | vendor-advisory |
| https://www.vulncheck.com/advisories/craft-cms-4.… | third-party-advisory |
Impacted products
Date Public
2026-09-22 00:00
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CVE-2026-109199 (GCVE-0-2026-109199)
Vulnerability from cvelistv5 – Published: 2026-10-12 13:39 – Updated: 2026-10-18 12:03
VLAI
EPSS
VEX
Title
LogicalDOC Community Edition through 9.3 Code Injection via Velocity sendAsEmail Template
Summary
LogicalDOC Community Edition through 9.3 contains a code injection vulnerability that allows authenticated users to execute OS commands by submitting Velocity templates in DocumentService.sendAsEmail subject or message fields. Attackers can invoke SystemTool exec methods or ClassTool, bypassing the forbidRuntimeUsage denylist, to run commands with LogicalDOC process privileges.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-10-18 11:45 UTC
CWE
- CWE-94 - Improper Control of Generation of Code ('Code Injection')
Assigner
VulnCheck
CNA
References
6 references
| URL | Tags |
|---|---|
| https://github.com/logicaldoc/community/discussions/119 | technical-description |
| https://github.com/logicaldoc/community/commit/66… | patch |
| https://github.com/logicaldoc/community/blob/9.3/… | technical-description |
| https://github.com/logicaldoc/community/blob/9.3/… | technical-description |
| https://github.com/logicaldoc/community | product |
| https://www.vulncheck.com/advisories/logicaldoc-c… | third-party-advisory |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| LogicalDOC | LogicalDOC Community Edition |
Affected:
0 , ≤ 9.3
(custom)
cpe:2.3:a:logicaldoc:logicaldoc:*:*:*:*:community:*:*:* |
Date Public
2026-10-11 00:00
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CVE-2026-108962 (GCVE-0-2026-108962)
Vulnerability from cvelistv5 – Published: 2026-10-13 03:30 – Updated: 2026-10-14 13:35
VLAI
EPSS
VEX
Title
storyicon comfyui_segment_anything GroundingDINO Model Loading slconfig.py SLConfig._file2dict code injection
Summary
A vulnerability has been found in storyicon comfyui_segment_anything up to ab6395596399d5048639cdab7e44ec9fae857a93. Affected by this issue is the function SLConfig._file2dict of the file local_groundingdino/util/slconfig.py of the component GroundingDINO Model Loading. Such manipulation of the argument config leads to code injection. It is possible to launch the attack remotely. This product takes the approach of rolling releases to provide continious delivery. Therefore, version details for affected and updated releases are not available. The project was informed of the problem early through an issue report but has not responded yet.
Severity
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-10-14 13:34 UTC
Assigner
VulDB
CNA
References
6 references
| URL | Tags |
|---|---|
| https://vuldb.com/vuln/416781 | vdb-entrytechnical-description |
| https://vuldb.com/vuln/416781/cti | signaturepermissions-required |
| https://vuldb.com/cve/CVE-2026-108962 | third-party-advisory |
| https://vuldb.com/submit/998114 | third-party-advisory |
| https://github.com/storyicon/comfyui_segment_anyt… | issue-tracking |
| https://github.com/storyicon/comfyui_segment_anything/ | product |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| storyicon | comfyui_segment_anything |
Affected:
ab6395596399d5048639cdab7e44ec9fae857a93
cpe:2.3:a:storyicon:comfyui_segment_anything:*:*:*:*:*:*:*:* |
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CVE-2026-108961 (GCVE-0-2026-108961)
Vulnerability from cvelistv5 – Published: 2026-10-13 03:15 – Updated: 2026-10-15 15:06
VLAI
EPSS
VEX
Title
PaddlePaddle PaddleX Preprocessor processors.py NormalizeImage.__init__ code injection
Summary
A flaw has been found in PaddlePaddle PaddleX up to 3.7.2. Affected by this vulnerability is the function NormalizeImage.__init__ of the file paddlex/inference/models/text_detection/processors.py of the component Preprocessor. This manipulation of the argument scale causes code injection. It is possible to initiate the attack remotely. The pull request to fix this issue awaits acceptance.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-10-15 15:06 UTC
Assigner
VulDB
CNA
References
7 references
| URL | Tags |
|---|---|
| https://vuldb.com/vuln/416780 | vdb-entrytechnical-description |
| https://vuldb.com/vuln/416780/cti | signaturepermissions-required |
| https://vuldb.com/cve/CVE-2026-108961 | third-party-advisory |
| https://vuldb.com/submit/997956 | third-party-advisory |
| https://github.com/PaddlePaddle/PaddleX/issues/5210 | issue-tracking |
| https://github.com/PaddlePaddle/PaddleX/pull/5212 | issue-trackingpatch |
| https://github.com/PaddlePaddle/PaddleX/ | product |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| PaddlePaddle | PaddleX |
Affected:
3.7.0
Affected: 3.7.1 Affected: 3.7.2 cpe:2.3:a:paddlepaddle:paddlex:*:*:*:*:*:*:*:* |
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CVE-2026-108957 (GCVE-0-2026-108957)
Vulnerability from cvelistv5 – Published: 2026-10-13 02:15 – Updated: 2026-10-15 14:58
VLAI
EPSS
VEX
Title
TinyLLaVA TinyLLaVA_Factory TinyLlavaConfig configuration_tinyllava.py _load_text_config code injection
Summary
A security flaw has been discovered in TinyLLaVA TinyLLaVA_Factory up to 1abc6ac5e76a68d0fd087a071b56da968e69ca9b. The impacted element is the function _load_text_config of the file tinyllava/model/configuration_tinyllava.py of the component TinyLlavaConfig. Performing a manipulation of the argument llm_model_name_or_path results in code injection. Remote exploitation of the attack is possible. The exploit has been released to the public and may be used for attacks. This product follows a rolling release approach for continuous delivery, so version details for affected or updated releases are not provided. The project was informed of the problem early through an issue report but has not responded yet.
Severity
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-10-15 14:57 UTC
Assigner
VulDB
CNA
References
6 references
| URL | Tags |
|---|---|
| https://vuldb.com/vuln/416776 | vdb-entrytechnical-description |
| https://vuldb.com/vuln/416776/cti | signaturepermissions-required |
| https://vuldb.com/cve/CVE-2026-108957 | third-party-advisory |
| https://vuldb.com/submit/997884 | third-party-advisory |
| https://github.com/TinyLLaVA/TinyLLaVA_Factory/is… | exploitissue-tracking |
| https://github.com/TinyLLaVA/TinyLLaVA_Factory/ | product |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| TinyLLaVA | TinyLLaVA_Factory |
Affected:
1abc6ac5e76a68d0fd087a071b56da968e69ca9b
cpe:2.3:a:tinyllava:tinyllava_factory:*:*:*:*:*:*:*:* |
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CVE-2026-108945 (GCVE-0-2026-108945)
Vulnerability from cvelistv5 – Published: 2026-10-13 00:45 – Updated: 2026-10-15 15:13
VLAI
EPSS
VEX
Title
iMoonLab yolov13 AutoBackend Model Loading autobackend.py eval code injection
Summary
A vulnerability was detected in iMoonLab yolov13 up to 73289949533efac82bb5f72ec19b746618656bd2. Affected by this issue is the function eval of the file ultralytics/nn/autobackend.py of the component AutoBackend Model Loading. Performing a manipulation of the argument imgsz/names/kpt_shape results in code injection. The attack must be initiated from a local position. The project was informed of the problem early through an issue report but has not responded yet.
Severity
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-10-15 14:50 UTC
Assigner
VulDB
CNA
References
6 references
| URL | Tags |
|---|---|
| https://vuldb.com/vuln/416770 | vdb-entrytechnical-description |
| https://vuldb.com/vuln/416770/cti | signaturepermissions-required |
| https://vuldb.com/cve/CVE-2026-108945 | third-party-advisory |
| https://vuldb.com/submit/997729 | third-party-advisory |
| https://github.com/iMoonLab/yolov13/issues/81 | issue-tracking |
| https://github.com/iMoonLab/yolov13/ | product |
Impacted products
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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.