Total
141 CVE
| CVE | Vendors | Products | Updated | CVSS v2 | CVSS v3 |
|---|---|---|---|---|---|
| CVE-2026-108099 | 2026-10-30 | N/A | N/A | ||
| Use of Externally-Controlled Input to Select Classes or Code ('Unsafe Reflection') vulnerability in Drupal Entity List allows Reflection Injection. This issue affects Entity List versions: from 0.0.0 to 3.0.10. | |||||
| CVE-2026-108097 | 2026-10-30 | N/A | N/A | ||
| Use of Externally-Controlled Input to Select Classes or Code ('Unsafe Reflection') vulnerability in Drupal Drupal core allows Reflection Injection. This issue affects Drupal core versions: from 8.9.0 to 10.6.19, from 11.0.0 to 11.3.19, from 11.4.0 to 11.4.10, from 12.0.0-alpha1 to 12.0.0-beta2. | |||||
| CVE-2026-92206 | 2026-10-30 | N/A | 8.8 HIGH | ||
| CrewAI crewAI Framework Agent Loading Unsafe Reflection Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of CrewAI crewAI. User interaction is required to exploit this vulnerability in that the target must load a malicious agent configuration from the repository. The specific flaw exists within the load_agent_from_repository function. The process does not properly restrict a user-supplied argument before using it to import a module. An attacker can leverage this vulnerability to execute code in the context of the service account. Was ZDI-CAN-28387. | |||||
| CVE-2026-119578 | 2026-10-30 | N/A | 7.8 HIGH | ||
| MONAI from 1.6.0 before 1.6.1 contains a remote code execution vulnerability in Auto3DSeg algo_from_json() that allows attackers to run Python code via a crafted work directory's algo_object.json. Attackers can ship a malicious algorithm_templates module plus a _target_ name that is imported and instantiated when victims call AutoRunner or import_bundle_algo_history, executing code under default configuration. | |||||
| CVE-2026-115886 | 2026-10-29 | N/A | 6.5 MEDIUM | ||
| MLflow is an open source AI engineering platform for agents, large language models, and machine learning models. From 3.12.0rc0 until 3.17.0, the scorer invoke, register, and GenAI evaluate endpoints, including unauthenticated POST /ajax-api/3.0/mlflow/scorer/invoke, accept serialized third-party scorer data that Scorer.model_validate_json resolves using a module-path allowlist without constraining the selected class or its constructor arguments. When optional trulens and trulens-providers-litellm packages are installed, an attacker can select mlflow.genai.scorers.trulens, choose a model URI outside MLflow's native provider registry so execution uses the LiteLLM fallback, and supply api_base and api_key values that cause the server to send an outbound request to an attacker-chosen or internal host with attacker-controlled headers and body. The vulnerable deserialization occurs before a tracking-store lookup or job submission. This issue is fixed in version 3.17.0. | |||||
| CVE-2026-119050 | 2026-10-29 | N/A | 8.1 HIGH | ||
| Agno through 3.1.11 contains an unsafe reflection vulnerability in PandasTools that allows attackers to invoke arbitrary pandas functions by supplying model-controlled function names to getattr(). Attackers can use prompt injection to make the agent call pandas.read_pickle on attacker-controlled paths for code execution, or call other readers to read local files. | |||||
| CVE-2026-55543 | 2026-10-28 | N/A | N/A | ||
| TuxGuitar is an open-source guitar tablature editor. Prior to 2.1.0, an untrusted .tg file can set gervil.soundbank.path to reference an on-disk archive, including the .tg file itself, whose META-INF/services/javax.sound.midi.Soundbank entry names an attacker-supplied class stored in that archive. When a user opens the file, JARSoundbankReader uses an unverified class loader to load and instantiate that class, executing its constructor with the privileges of the TuxGuitar process. This issue is fixed in version 2.1.0. | |||||
| CVE-2026-116692 | 2026-10-28 | N/A | 9.8 CRITICAL | ||
| MLflow is an open source AI engineering platform for agents, large language models, and machine learning models. From 3.12.0rc0 until 3.17.0, third-party scorer deserialization in mlflow/genai/scorers/base.py accepts request-selected descendants of THIRD_PARTY_SCORER_ALLOWED_MODULES rather than requiring an exact allowed module. A caller can use MLflow artifact endpoints to place a Python module beneath a writable allowed package and submit its module and class through /ajax-api/3.0/mlflow/scorer/invoke. Scorer.model_validate_json() imports the module and constructs the class before trace processing. Authentication-disabled deployments permit this code execution without credentials, while basic-auth deployments require a principal capable of creating an experiment and run and uploading artifacts. In either configuration, the allowed scorer package must be writable by the server process. This issue is fixed in version 3.17.0. | |||||
| CVE-2026-41175 | 1 Statamic | 1 Statamic | 2026-10-26 | N/A | 8.1 HIGH |
| Statamic is a Laravel and Git powered content management system (CMS). Prior to versions 5.73.20 and 6.13.0, manipulating query parameters on Control Panel and REST API endpoints, or arguments in GraphQL queries, could result in the loss of content, assets, and user accounts. The Control Panel requires authentication with minimal permissions in order to exploit. e.g. "view entries" permission to delete entries, or "view users" permission to delete users, etc. The REST and GraphQL API exploits do not require any permissions, however neither are enabled by default. In order to be exploited, they would need to be explicitly enabled with no authentication configured, and the specific resources enabled too. Sites that enable the REST or GraphQL API without authentication should treat patching as critical priority. This has been fixed in 5.73.20 and 6.13.0. | |||||
| CVE-2026-42027 | 1 Apache | 1 Opennlp | 2026-10-26 | N/A | 9.8 CRITICAL |
| Arbitrary Class Instantiation via Model Manifest in Apache OpenNLP ExtensionLoader Versions Affected: before 1.9.5, before 2.5.9, before 3.0.0-M3 Description: The ExtensionLoader.instantiateExtension(Class, String) method loads a class by its fully-qualified name via Class.forName() and invokes its no-arg constructor, with the class name sourced from the manifest.properties entry of a model archive. The existing isAssignableFrom check correctly rejects classes that are not subtypes of the expected extension interface (BaseToolFactory for factory=, ArtifactSerializer for serializer-class-*), but the check runs after Class.forName() has already loaded and initialized the named class. Class.forName() with default initialization semantics executes the target class's static initializer before returning, so an attacker who can supply a crafted model archive can cause the static initializer of any class on the classpath to run during model loading, regardless of whether that class passes the subsequent type check. Exploitation requires a class with attacker-useful side effects in its static initializer (for example, JNDI lookup, outbound network I/O, or filesystem access) to be present on the classpath, so this is not a drop-in remote code execution; however, the attack surface grows as third-party model distribution becomes more common (community model repositories, Hugging Face-style sharing), where users routinely load model files from origins they do not control. A secondary, narrower vector affects deployments that ship legitimate BaseToolFactory or ArtifactSerializer subclasses with side-effecting no-arg constructors: a malicious manifest can name such a class and force its constructor to run during model load. Mitigation: * 2.x users should upgrade to 2.5.9. * 3.x users should upgrade to 3.0.0-M3. Note: The fix introduces a package-prefix allowlist that is consulted before Class.forName() is invoked, so the static initializer of a disallowed class is never executed. Classes under the opennlp. prefix remain permitted by default. Deployments that load models referencing factories or serializers outside opennlp.* must opt those packages in, either programmatically via ExtensionLoader.registerAllowedPackage(String) before the first model load, or by setting the OPENNLP_EXT_ALLOWED_PACKAGES system property to a comma-separated list of allowed package prefixes. Users who cannot upgrade immediately should ensure that all model files are sourced from trusted origins and should audit their classpath for classes with side-effecting static initializers or constructors, particularly any that perform JNDI lookups, network requests, or filesystem operations during class initialization. | |||||
| CVE-2026-44339 | 1 Praison | 2 Praisonai, Praisonaiagents | 2026-10-26 | N/A | 8.6 HIGH |
| PraisonAI is a multi-agent teams system. Prior to praisonai version 4.6.37 and praisonaiagents version 1.6.37, praisonaiagents resolves unresolved tool names against module globals and __main__ after it fails to match the declared tool list and the registry. With the default agent configuration, _perm_allow is None, so undeclared non-dangerous tool names are not rejected by the permission gate. An attacker who can influence tool-call names can therefore invoke unintended application callables that were never declared as tools. This issue has been patched in praisonai version 4.6.37 and praisonaiagents version 1.6.37. | |||||
| CVE-2026-8178 | 2026-10-26 | N/A | 8.1 HIGH | ||
| An issue exists in Amazon Redshift JDBC Driver versions prior to 2.2.2. Under certain conditions, the driver could load and execute arbitrary classes when processing JDBC connection URL parameters. An actor who can influence the connection URL could potentially execute code in the application context, provided a suitable class is available on the application's classpath. To mitigate this issue, users should upgrade to version 2.2.2 or later. | |||||
| CVE-2026-115931 | 2026-10-26 | N/A | 9.9 CRITICAL | ||
| Postiz lets a signed-in user ask the backend to run a function on one of their connected channels. The backend did not restrict which functions can be requested, so a user could call internal helper functions that were never meant to be reachable from the web interface. One of those helpers reads a file from the server's disk. A user who connects a channel whose stored token is a file path can have the backend return the contents of any file it can read, including its environment, which holds the secret used to sign login sessions, the database address and the credentials of connected services. Another helper makes the backend process exit with a single request. Self-registration is open by default, so no existing account and no action by another user is needed. | |||||
| CVE-2026-57284 | 1 Jenkins | 1 Pipeline\ | 2026-10-25 | N/A | 4.3 MEDIUM |
| Jenkins Pipeline: Groovy Plugin 4331.v9d06ed4658ff and earlier does not restrict the types that can be instantiated through the Pipeline Snippet Generator, allowing attackers to instantiate types related to job or system configuration other than Pipeline steps. | |||||
| CVE-2026-48817 | 1 Encode | 1 Starlette | 2026-10-25 | N/A | 5.3 MEDIUM |
| Starlette is a lightweight ASGI framework/toolkit. In versions 1.0.1 and below, when dispatching a request, HTTPEndpoint selects the handler by lowercasing the HTTP method and looking it up as an attribute with getattr, without restricting the lookup to a known set of HTTP verbs. When an HTTPEndpoint subclass is registered through Route(...) without an explicit methods= argument, the route does not constrain the method and every method reaches the endpoint. If a non-standard HTTP method whose lowercased name matches an attribute on the endpoint subclass reaches the endpoint, that attribute is invoked as if it were a request handler. An attacker can use this to reach methods that were never meant to be HTTP handlers, such as internal helpers, without the authorization checks applied by the intended public handler. An application (including Starlette-based frameworks like FastAPI) is affected if it registers an HTTPEndpoint subclass via Route(...) without explicitly setting methods=, and that subclass includes extra methods named like non-standard HTTP verbs that take one request argument and return a response. This issue has been fixed in version 1.1.0. | |||||
| CVE-2026-49287 | 2026-10-25 | N/A | 7.4 HIGH | ||
| Statamic is a Laravel and Git powered content management system (CMS). Prior to 5.73.23 and 6.20.0, the fix for CVE-2026-41175 was incomplete. It addressed the issue in the query builder, but the same protection was not applied to in-memory collection sorting. Manipulating sort parameters could result in the loss of content and assets. This requires a front-end template that passes request input into a tag's sort parameter. It is not exploitable by default — a template would need to be explicitly set up to sort by a visitor-controlled value. This has been fixed in 5.73.23 and 6.20.0. | |||||
| CVE-2026-13772 | 1 Ibm | 1 Websphere Extreme Scale | 2026-10-25 | N/A | 7.5 HIGH |
| IBM WebSphere Extreme Scale 8.6.1.0 through 8.6.1.6 's Object Query Language engine resolves attacker-supplied class names via Class.forName() and invokes their constructors with no allow-list at three distinct sinks (SELECT NEW, enum literals, and reflection-based comparators); an authenticated remote attacker who can influence an application-built OQL query string can execute arbitrary constructors on the WAS JVM, and a SELECT DISTINCT variant using planted grid values fires the same gadget post-readObject in a manner that survives JEP-290 serialization filters across grid node boundaries | |||||
| CVE-2026-14380 | 1 Perl | 1 Dbi | 2026-10-25 | N/A | 8.8 HIGH |
| DBI versions before 1.650 for Perl are vulnerable to code injection via caller-influenced Profile. When a string is assigned to a DBI handle's Profile attribute, DBI splits it into path, package and arguments, and interpolates the package part in a string eval with no validation of the package name. Any caller-influenced value that reaches the Profile attribute is therefore arbitrary Perl code execution, including calls to run system commands. The Profile attribute can be set from three different sources that can carry untrusted data: the DBI_PROFILE environment variable, a direct attribute assignment, and a DSN driver-attribute clause dbi:Driver(Profile=>SPEC):db. An attacker controlling any of those inputs runs arbitrary Perl in the host process. The strongest remote position is a network-exposed DBI::Gofer / DBI::ProxyServer whose per-request DSN reaches the Profile attribute, letting a client execute code on the broker host. | |||||
| CVE-2026-24246 | 2 Linux, Nvidia | 2 Linux Kernel, Nemo Megatron Bridge | 2026-10-25 | N/A | 7.8 HIGH |
| NVIDIA Megatron Bridge for Linux contains a vulnerability where an attacker could cause improper control of dynamically managed code resources. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, data tampering, and information disclosure. | |||||
| CVE-2026-55153 | 2026-10-25 | N/A | 7.1 HIGH | ||
| mchange-commons-java is a Java library of shared utility classes used by mchange projects like the c3p0 connection pool. Prior to version 0.6.0, its JNDI ObjectFactory implementation (com.mchange.v2.naming.JavaBeanObjectFactory) will construct objects of arbitrary classes and initialize "JavaBean"-style properties, which for certain classes enables JNDI injection and "deserialization gadgets." Such initialization is unsafe for some classes: for example, setting the contentType property of a Swing JEditorPane to text/html and its text property to HTML containing a stylesheet <link> will provoke an HTTP GET on an arbitrary URL, potentially from within a trusted security domain. The problem is aggravated by the library's ReferenceIndirector, through which malicious JNDI Reference objects can be smuggled in for dereferencing wherever an application reads a Java-serialized object. This has been resolved in version 0.6.0. | |||||