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.
8271 vulnerabilities reference this CWE, most recent first.
CVE-2026-33310 (GCVE-0-2026-33310)
Vulnerability from cvelistv5 – Published: 2026-03-24 13:17 – Updated: 2026-03-24 15:36
VLAI
EPSS
VEX
Title
Intake has a Command Injection via shell() Expansion in Parameter Defaults
Summary
Intake is a package for finding, investigating, loading and disseminating data. Prior to version 2.0.9, the shell() syntax within parameter default values appears to be automatically expanded during the catalog parsing process. If a catalog contains a parameter default such as shell(<command>), the command may be executed when the catalog source is accessed. This means that if a user loads a malicious catalog YAML, embedded commands could execute on the host system. Version 2.0.9 mitigates the issue by making getshell False by default everywhere.
Severity
8.8 (High)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/intake/intake/security/advisor… | x_refsource_CONFIRM |
| https://github.com/intake/intake/commit/d0c0b6b57… | x_refsource_MISC |
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CVE-2026-33309 (GCVE-0-2026-33309)
Vulnerability from cvelistv5 – Published: 2026-03-24 12:49 – Updated: 2026-03-25 03:55
VLAI
EPSS
VEX
Title
Langflow has an Arbitrary File Write (RCE) via v2 API
Summary
Langflow is a tool for building and deploying AI-powered agents and workflows. Versions 1.2.0 through 1.8.1 have a bypass of the patch for CVE-2025-68478 (External Control of File Name), leading to the root architectural issue within `LocalStorageService` remaining unresolved. Because the underlying storage layer lacks boundary containment checks, the system relies entirely on the HTTP-layer `ValidatedFileName` dependency. This defense-in-depth failure leaves the `POST /api/v2/files/` endpoint vulnerable to Arbitrary File Write. The multipart upload filename bypasses the path-parameter guard, allowing authenticated attackers to write files anywhere on the host system, leading to Remote Code Execution (RCE). Version 1.9.0 contains an updated fix.
Severity
10 (Critical)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://github.com/langflow-ai/langflow/security/… | x_refsource_CONFIRM |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| langflow-ai | langflow |
Affected:
>= 1.2.0, < 1.9.0
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CVE-2026-33233 (GCVE-0-2026-33233)
Vulnerability from cvelistv5 – Published: 2026-05-19 00:46 – Updated: 2026-05-19 13:42
VLAI
EPSS
VEX
Title
AutoGPT Platform: Remote Code Execution via Unsafe Pickle Deserialization of Redis Cache Entries
Summary
AutoGPT is a workflow automation platform for creating, deploying, and managing continuous artificial intelligence agents. In versions 0.6.34 through 0.6.51, the backend deserializes Redis cache bytes using pickle.loads without integrity/authenticity checks. The write path serializes values with pickle.dumps(...) into Redis and the read path blindly invokes pickle.loads(...) on bytes with no HMAC/signature or strict schema validation gating deserialization. If an attacker can poison a shared-cache key in Redis, arbitrary command execution is possible in the backend container context, affecting confidentiality, integrity, and availability. This issue has been fixed in version 0.6.52.
Severity
7.6 (High)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/Significant-Gravitas/AutoGPT/s… | x_refsource_CONFIRM |
| https://github.com/Significant-Gravitas/AutoGPT/r… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| Significant-Gravitas | AutoGPT |
Affected:
>= 0.6.34, < 0.6.52
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CVE-2026-33154 (GCVE-0-2026-33154)
Vulnerability from cvelistv5 – Published: 2026-03-20 20:22 – Updated: 2026-03-27 15:23
VLAI
EPSS
VEX
Title
dynaconf Affected by Remote Code Execution (RCE) via Insecure Template Evaluation in @jinja Resolver
Summary
dynaconf is a configuration management tool for Python. Prior to version 3.2.13, Dynaconf is vulnerable to Server-Side Template Injection (SSTI) due to unsafe template evaluation in the @Jinja resolver. When the jinja2 package is installed, Dynaconf evaluates template expressions embedded in configuration values without a sandboxed environment. This issue has been patched in version 3.2.13.
Severity
7.5 (High)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/dynaconf/dynaconf/security/adv… | x_refsource_CONFIRM |
| https://github.com/dynaconf/dynaconf/commit/2fbb4… | x_refsource_MISC |
| https://github.com/dynaconf/dynaconf/releases/tag… | x_refsource_MISC |
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CVE-2026-33057 (GCVE-0-2026-33057)
Vulnerability from cvelistv5 – Published: 2026-03-20 07:16 – Updated: 2026-03-25 13:52
VLAI
EPSS
VEX
Title
Mesop Affected by Unauthenticated Remote Code Execution via Test Suite Route /exec-py
Summary
Mesop is a Python-based UI framework that allows users to build web applications. In versions 1.2.2 and below, an explicit web endpoint inside the ai/ testing module infrastructure directly ingests untrusted Python code strings unconditionally without authentication measures, yielding standard Unrestricted Remote Code Execution. Any individual capable of routing HTTP logic to this server block will gain explicit host-machine command rights. The AI codebase package includes a lightweight debugging Flask server inside ai/sandbox/wsgi_app.py. The /exec-py route accepts base_64 encoded raw string payloads inside the code parameter natively evaluated by a basic POST web request. It saves it rapidly to the operating system logic path and injects it recursively using execute_module(module_path...). This issue has been fixed in version 1.2.3.
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
2 references
| URL | Tags |
|---|---|
| https://github.com/mesop-dev/mesop/security/advis… | x_refsource_CONFIRM |
| https://github.com/mesop-dev/mesop/commit/825f559… | x_refsource_MISC |
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CVE-2026-33017 (GCVE-0-2026-33017)
Vulnerability from cvelistv5 – Published: 2026-03-20 04:52 – Updated: 2026-05-21 19:54
VLAI
EPSS
VEX
Title
Langflow has Unauthenticated Remote Code Execution via Public Flow Build Endpoint
Summary
Langflow is a tool for building and deploying AI-powered agents and workflows. In versions prior to 1.9.0, the POST /api/v1/build_public_tmp/{flow_id}/flow endpoint allows building public flows without requiring authentication. When the optional data parameter is supplied, the endpoint uses attacker-controlled flow data (containing arbitrary Python code in node definitions) instead of the stored flow data from the database. This code is passed to exec() with zero sandboxing, resulting in unauthenticated remote code execution. This is distinct from CVE-2025-3248, which fixed /api/v1/validate/code by adding authentication. The build_public_tmp endpoint is designed to be unauthenticated (for public flows) but incorrectly accepts attacker-supplied flow data containing arbitrary executable code. This issue has been fixed in version 1.9.0.
Severity
SSVC
Exploitation: active
Automatable: yes
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
Assigner
References
7 references
| URL | Tags |
|---|---|
| https://github.com/langflow-ai/langflow/security/… | x_refsource_CONFIRM |
| https://github.com/langflow-ai/langflow/commit/73… | x_refsource_MISC |
| https://github.com/advisories/GHSA-rvqx-wpfh-mfx7 | x_refsource_MISC |
| https://www.sysdig.com/blog/cve-2026-33017-how-at… | third-party-advisory |
| https://medium.com/@aviral23/cve-2026-33017-how-i… | exploit |
| https://www.cisa.gov/known-exploited-vulnerabilit… | government-resource |
| https://github.com/langflow-ai/langflow/releases/… | patch |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| langflow-ai | langflow |
Affected:
< 1.9.0
|
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CVE-2026-32999 (GCVE-0-2026-32999)
Vulnerability from cvelistv5 – Published: 2026-05-28 04:01 – Updated: 2026-05-28 13:09
VLAI
EPSS
VEX
Summary
Insufficient character filtering in backup agent signing module on Comet Backup server allows authenticated tenant administrator to execute an arbitrary code on behalf of a privileged user on the affected server and connected devices.
Severity
9.1 (Critical)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
- CWE-94 - Code Injection
Assigner
References
1 reference
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| WebPros | Comet Backup |
Affected:
0 , < 26.4.3
(semver)
Affected: 0 , < 26.5.0 (semver) |
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CVE-2026-32719 (GCVE-0-2026-32719)
Vulnerability from cvelistv5 – Published: 2026-03-13 21:25 – Updated: 2026-03-16 16:44
VLAI
EPSS
VEX
Title
AnythingLLM has a Zip Slip Path Traversal and Code Execution via Community Hub Plugin Import
Summary
AnythingLLM is an application that turns pieces of content into context that any LLM can use as references during chatting. In 1.11.1 and earlier, The ImportedPlugin.importCommunityItemFromUrl() function in server/utils/agents/imported.js downloads a ZIP file from a community hub URL and extracts it using AdmZip.extractAllTo() without validating file paths within the archive. This enables a Zip Slip path traversal attack that can lead to arbitrary code execution.
Severity
4.2 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/Mintplex-Labs/anything-llm/sec… | x_refsource_CONFIRM |
| https://github.com/Mintplex-Labs/anything-llm/com… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| Mintplex-Labs | anything-llm |
Affected:
<= 1.11.1
|
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CVE-2026-32669 (GCVE-0-2026-32669)
Vulnerability from cvelistv5 – Published: 2026-03-27 05:24 – Updated: 2026-03-27 19:52
VLAI
EPSS
VEX
Summary
Code injection vulnerability exists in BUFFALO Wi-Fi router products. If this vulnerability is exploited, an arbitrary code may be executed on the products.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
- CWE-94 - Code injection
Assigner
References
2 references
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| BUFFALO INC. | BUFFALO Wi-Fi router products |
Affected:
See "References" section
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CVE-2026-32640 (GCVE-0-2026-32640)
Vulnerability from cvelistv5 – Published: 2026-03-13 21:03 – Updated: 2026-07-15 01:07
VLAI
EPSS
VEX
Title
(SimpleEval) Objects (including modules) can leak dangerous modules through to direct access inside the sandbox.
Summary
SimpleEval is a library for adding evaluatable expressions into python projects. Prior to 1.0.5, objects (including modules) can leak dangerous modules through to direct access inside the sandbox. If the objects you've passed in as names to SimpleEval have modules or other disallowed / dangerous objects available as attrs. Additionally, dangerous functions or modules could be accessed by passing them as callbacks to other safe functions to call. The latest version 1.0.5 has this issue fixed. This vulnerability is fixed in 1.0.5.
Severity
SSVC
Exploitation: none
Automatable: yes
Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
Assigner
References
7 references
| URL | Tags |
|---|---|
| https://github.com/danthedeckie/simpleeval/securi… | x_refsource_CONFIRM |
| https://lists.debian.org/debian-lts-announce/2026… | |
| https://access.redhat.com/security/cve/CVE-2026-32640 | vdb-entryx_refsource_REDHAT |
| https://bugzilla.redhat.com/show_bug.cgi?id=2447529 | issue-trackingx_refsource_REDHAT |
| https://security.access.redhat.com/data/csaf/v2/v… | x_sadp-csaf-vex |
| https://access.redhat.com/errata/RHSA-2026:10184 | vendor-advisoryx_refsource_REDHAT |
| https://access.redhat.com/errata/RHSA-2026:37275 | vendor-advisoryx_refsource_REDHAT |
Impacted products
7 products
| Vendor | Product | Version | |
|---|---|---|---|
| danthedeckie | simpleeval |
Affected:
< 1.0.5
|
|
| Red Hat | Red Hat OpenShift AI 2.25 |
Unaffected:
1776243258 , < *
(rpm)
cpe:/a:redhat:openshift_ai:2.25::el9 |
|
| Red Hat | Red Hat OpenShift AI 2.25 |
Unaffected:
1776243287 , < *
(rpm)
cpe:/a:redhat:openshift_ai:2.25::el9 |
|
| Red Hat | Red Hat OpenShift AI 2.25 |
Unaffected:
1776272258 , < *
(rpm)
cpe:/a:redhat:openshift_ai:2.25::el9 |
|
| Red Hat | Red Hat OpenShift AI 2.25 |
Unaffected:
1776272253 , < *
(rpm)
cpe:/a:redhat:openshift_ai:2.25::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.3 |
Unaffected:
1782471606 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.3::el9 |
|
| Red Hat | Red Hat OpenShift AI (RHOAI) |
cpe:/a:redhat:openshift_ai |
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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.