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In JetBrains Junie CLI before 26.8.3 code execution was possible via an untrusted project's MCP server configuration

Code execution Server

Docker Sandboxes versions 0.31.0 before 0.50.0 do not neutralize repository-controlled Git configuration when running certain host-side Git commands. An attacker who can modify a host repository's Git configuration, for example through a direct-mode sandbox with the repository mounted read-write, can configure core.fsmonitor or another Git setting that invokes an external program. Git can execute the program during a later clone-mode fetch or, starting in version 0.39.0, an sbx kit push initiated by the user. The program runs on the host with the invoking user's permissions, outside the sandbox's microVM isolation. The read-only host repository mount provided to a clone-mode sandbox does not itself allow that sandbox to modify the host repository's Git configuration. The issue is fixed in version 0.50.0.

Code execution Server

Vikunja before 2.7.1 fails to re-anchor PluginsDir and LogPath to service.rootpath, allowing plugins to load from and logs to be written in the startup working directory. Local attackers able to write to that directory can plant plugins loaded into the server when plugins are enabled, or read misplaced logs including audit.log.

Code execution Server

SAP NetWeaver Application Server ABAP does not sufficiently validate certain network input processed by an internal component. An unauthenticated attacker could send specially crafted network traffic to trigger a memory corruption condition in the affected functionality. Successful exploitation could allow the attacker to execute arbitrary code and fully compromise the system, resulting in a high impact on confidentiality, integrity and availability of the system.

Code execution Server

SAP NetWeaver Application Server ABAP and ABAP Platform does not perform necessary authorization checks for certain internal functionality. An attacker with low privileges could invoke affected functionality to execute arbitrary operating system commands on the underlying host. Successful exploitation could impact resources beyond the vulnerable component, resulting in a high impact on confidentiality, integrity and availability of the system.

Code execution Server

Redpanda Connect versions 4.39 to 4.110 contain a missing authentication vulnerability that enables unauthenticated remote code execution (RCE). In streams mode, the management HTTP API is exposed on `0.0.0.0:4195`, but authentication is disabled by default and there is no authentication gate protecting the stream CRUD routes. An unauthenticated attacker with network access to TCP/4195 can `POST` a malicious pipeline definition to `/streams/{id}` that includes code-executing processors such as `command`, `subprocess`, `ffi`, or unsafe `sql_raw`, thereby achieving arbitrary RCE on the host with the permissions of the Redpanda Connect service account. Because pipelines can also return command output in-band via HTTP, this vulnerability enables full host compromise, credential theft, and data exfiltration with no user interaction or credentials required. Starting with v4.111, the API endpoint was reconfigured as opt-in, so this and later versions are no longer vulnerable by default. However, RCE remains achievable on v4.111 and later if the management API is manually enabled via the `--bind-http` flag.

Code execution Server

Apache Airflow 3.3.1 shipped a fix for CVE-2026-67260 that checks the scheduler's decoded `next_kwargs` value is a dictionary, but performs that check only after deserializing the whole stored payload. Deserialization reconstructs nested objects of classes permitted by the deserialization allow-list — which by default includes Airflow's own classes — and runs their constructors inside the scheduler process before the check can reject the value. A Dag author, who controls a task's `next_kwargs` through the task execution API, can therefore still trigger constructor execution in the scheduler when the `awaiting_input` timeout sweep processes the task, and in the API server when the task instance is served to a worker using an older Execution API version; no non-default configuration is required. Versions before 3.3.0 are not affected. This is an incomplete fix for CVE-2026-67260: deployments that upgraded to 3.3.1 for that issue must also upgrade to apache-airflow 3.4.0 or later.

Code execution Server

Apache Airflow's scheduler fully deserializes XCom values written by task code while evaluating task dependencies. A Dag author, who controls what a task writes to XCom, therefore controls data that is deserialized inside the scheduler process - a context the Airflow security model reserves for code installed by the Deployment Manager, above the worker-scoped execution capability a Dag author is documented to have. Deployments that treat Dag authors as less trusted than Deployment Managers are affected, and the scheduler must be evaluating a task dependency that reads a task-written XCom value. Users of apache-airflow are recommended to upgrade to version 3.4.0 or later, which restricts dependency evaluation to primitive XCom values.

Code execution Server

Apache Airflow rebuilt deadline alert fields through generic deserialization, which imports and instantiates the class named in the serialized Dag, in the scheduler and API server. A Dag author could cause classes within Airflow's deserialization allow list to be constructed in those processes with arguments they control. Deployments whose Dags use deadline alerts are affected. This is an incomplete fix of CVE-2026-45360, which only hardened the `reference` field; deployments that applied that fix remain affected through the `callback` and `interval` fields. Users of apache-airflow are recommended to upgrade to 3.4.0 or later.

Code execution Server

Description `DefaultStateSerializer`, used to persist and restore stateful bolt checkpoints, configured Kryo with class registration disabled and an instantiation strategy that constructs objects without invoking their constructors, then deserialized whatever bytes the state store returned. A party able to write to the topology's keyspace in the state store, for example a co-tenant of a shared Redis instance or anyone with network access to it, could therefore place a serialized object graph that executes code inside the worker JVM when the state is restored. This requires the Redis-backed state provider, which is not the default. Write access to a state-store key is a data-plane privilege; code execution in the worker JVM is not, so the two are not equivalent. Mitigation Upgrade to 3.1.0, where the state serializer requires registered classes. Note that this is a behaviour change for existing state: checkpoints written by an affected version may fail to restore, and a migration step may be required. Users who cannot upgrade immediately should restrict network and credential access to the state store to the cluster itself. Credit The ASF -- found using Claude agents to study the security of open-source projects, validated and reported by Apache Storm.

Code execution Server

Apache Airflow's Task Execution API stored XCom values written by a task without the reserved-key check applied elsewhere, so a Dag author's task could write an XCom that, when a user later viewed it through the API with deserialization enabled, made the API server instantiate classes from the `airflow.*` namespace with arguments the Dag author chose. This is an incomplete fix for CVE-2026-59242: users who applied that fix in apache-airflow 3.3.1 remain affected through this route and should upgrade to apache-airflow 3.4.0 or later.

Code execution Server

Apache Airflow did not reject reserved serialization keys inside a Dag run's `conf`. A user allowed to trigger a Dag that uses a deadline alert with an asynchronous callback could pass a `conf` that, once the deadline was missed, either crashed the scheduler repeatedly or was rebuilt into objects inside the Triggerer. Users are advised to upgrade to apache-airflow 3.4.0 or later.

Code execution Server