| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| MONAI before 1.5.2 contains a deserialization of untrusted data vulnerability in the algo_from_pickle function in monai/auto3dseg/utils.py. The function reads a .pkl file and passes its contents to pickle.loads without validating the data source or content. If an application invokes algo_from_pickle on an attacker-supplied pickle file, an object defining __reduce__ is executed during deserialization, resulting in arbitrary code execution in the context of the application. |
| Deserialization of Untrusted Data of the __post_data parameter in cn_parse_url() in CuteNews v.2.1.2 allows a remote attacker to inject arbitrary values into internal request variables (including __referer) via a crafted base64-encoded serialized PHP payload submitted as a POST parameter. |
| A flaw has been found in langchain4j up to 1.5.3-beta10/1.11.10-beta18/1.18.1-beta27. This vulnerability affects the function AgenticScopeSerializer.fromJson of the file AgenticScopeJsonSerializationIT.java of the component LangChain4j-agentic. This manipulation causes deserialization. Remote exploitation of the attack is possible. The attack's complexity is rated as high. It is stated that the exploitability is difficult. The exploit has been published and may be used. Upgrading to version 1.5.3-beta11, 1.11.10-beta19 and 1.18.1-beta28 is able to resolve this issue. Upgrading the affected component is advised. The project maintainer kindly explains: "The issue was reported to us privately on 23 July 2026 and fixed in releases published on 29 July 2026. It is tracked as GHSA-gmwr-7wmf-mrjm. Exploitation requires an application to have enabled AgenticScope persistence, which is opt-in, and an attacker who can already write to that store. All maintained release lines have been patched." |
| NVIDIA NeMo Speech for all platforms contains a vulnerability where malicious data created by an attacker could cause remote code execution. A successful exploit of this vulnerability might lead to code execution, information disclosure, and data tampering. |
| NVIDIA NeMo Speech for all platforms contains a vulnerability in the speech data explorer component, where malicious data created by an attacker could cause remote code execution. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, information disclosure, and data tampering. |
| A security flaw has been discovered in Open-Web-Analytics up to 1.8.1. Affected is the function Event::loadFromArray of the file queue.php of the component Remote Event Queue Endpoint. Performing a manipulation results in deserialization. The attack can be initiated remotely. Upgrading to version 1.8.2 is able to address this issue. The patch is named 78c1222ec0e2119d84684032da1541120a2cdd23. The affected component should be upgraded. |
| EAP's Artemis deserialization configuration permits deserialization by default. ObjectMessage.getObject() uses ObjectInputStreamWithClassLoader, which implements allow-list/block-list filtering via its checkSecurity()/isTrustedType() method. However, by default both allow-list and block-list are empty. When the allow-list is empty (size == 0), isTrustedType() returns true for ALL classes. This means all classes are deserializable by default. |
| A flaw was found in JBoss marshalling. The Infinispan session replication path deserializes replicated session data via the JBoss Marshalling River unmarshaller with no class filtering — enabling RCE via deserialization gadget chains on every cluster node. |
| IBM DataStage on Cloud Pak for Data 5.4.0.0 could allow a remote authenticated attacker to execute arbitrary code due to unsafe deserialization of untrusted data. |
| A vulnerability allowing remote code execution (RCE) on the Backup Server by an authenticated domain user. |
| Deserialization of untrusted data in the command monitoring support of the MongoDB PHP Driver can cause class names embedded in document content to be honored when the driver builds monitoring event objects. When an application registers a command monitoring subscriber and includes untrusted data in a database operation, an unauthenticated party who controls that data may cause an application class implementing the driver's persistable interface to be instantiated and its unserialization method invoked with the supplied data. The resulting impact depends on the classes available in the application. |
| Deserialization of Untrusted Data and Allocation of Resources Without Limits or Throttling vulnerabilities in elixir-grpc grpc allow unauthenticated attackers to crash the BEAM node via atom table exhaustion and, when a decoded term flows into a call site that invokes it, achieve remote code execution on the server.
'Elixir.GRPC.Codec.Erlpack':decode/2 (lib/grpc/codec/erlpack.ex) calls :erlang.binary_to_term/1 on the raw gRPC message body without the :safe option, no size bound, and no type guard. Any unauthenticated peer that sends a request with Content-Type: application/grpc+erlpack can send a crafted payload that mints arbitrary new atoms (which are never garbage-collected, exhausting the bounded atom table and crashing the VM) or that encodes a fun term which, if applied anywhere downstream, executes attacker-controlled code inside the server process.
This issue affects grpc: from 0.4.0 before 1.0.0. |
| A vulnerability was detected in dmlc dgl up to 2.1.0. This impacts the function load_info/_read_torch_data of the file utils.py. Performing a manipulation of the argument path results in deserialization. The attack can be initiated remotely. The exploit is now public and may be used. The project was informed of the problem early through an issue report but has not responded yet. |
| Shop manager PHP Object Injection in Reycob Product Import Export <= 2.3.0 versions. |
| MLflow's statsmodel flavor, versions 2.1.0 to 3.14.0, omits the MLFLOW_ALLOW_PICKLE_DESERIALIZATION=False security control entirely in _load_model(), which allows a remote attacker to execute arbitrary code via a crafted MLmodel artifact. |
| MLflow's dspy flavor, versions >= 2.0, applies the MLFLOW_ALLOW_PICKLE_DESERIALIZATION=False security control only when the model_path ends in .pkl, which allows a remote attacker to execute arbitrary code via a crafted MLmodel artifact. |
| IBM Financial Transaction Manager (FTM) for RedHat OpenShift is vulnerable to unauthenticated remote code execution via Java native deserialization on the PayDir Business Rules Manager RMI SSL endpoint (BrmRMISSLServerSocketFactory.java:95, EP8). An adjacent-network attacker can deliver a crafted serialized payload to achieve arbitrary code execution, exposing all PayDir credentials and enabling manipulation of payment business rules. |
| IBM Financial Transaction Manager (FTM) for RedHat OpenShift could allow a remote attacker to execute arbitrary code due to improper deserialization of untrusted data. |
| LightLLM through 1.2.0 contains a remote code execution vulnerability in the KV-transfer worker when started with --pd_trans_mode nccl, which exposes an unauthenticated RPyC control channel that deserializes attacker-supplied data. Attackers can send malicious pickled objects to the exposed RPyC ThreadedServer to execute arbitrary code with the privileges of the LightLLM service account. |
| A security vulnerability has been detected in Dask up to 2026.8.0. This affects the function from_npy_stack of the file dask/array/core.py of the component Loader. Such manipulation leads to deserialization. The attack can be launched remotely. The exploit has been disclosed publicly and may be used. The project was informed of the problem early through an issue report but has not responded yet. |
