| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| The Database for Contact Form 7, WPforms, Elementor forms WordPress plugin before 1.5.2 does not restrict the PHP classes allowed when unserializing an attacker-supplied form-field value, allowing unauthenticated users to inject arbitrary PHP objects that are instantiated when an administrator views the stored entry. This is an incomplete fix of CVE-2025-7384 and CVE-2026-2599, whose deserialization paths were hardened while the entry-editor file-field path was missed. |
| NVIDIA TensorRT-LLM for Linux contains a vulnerability in the restricted unpickler used for model weight deserialization, where a local, unauthenticated attacker could cause deserialization of untrusted data. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, data tampering, and information disclosure. |
| NVIDIA TensorRT-LLM contains a vulnerability in its inter-process communication layer where an attacker with local same-user access could cause deserialization. A successful exploit of this vulnerability might lead to code execution, information disclosure, data tampering, and denial of service. |
| NVIDIA TensorRT for contains a vulnerability where a user might cause a deserialization of untrusted data. A successful exploit of this vulnerability might lead to code execution. |
| Deserialization of untrusted data vulnerability that may allow class-registration checks to be bypassed during Java lambda deserialization. Only lambda capture class is affected
This issue affects Apache Fory: from before 1.4.0.
Users are recommended to upgrade to version 1.4.0, which fixes the issue. |
| NVIDIA Tranformers4Rec contains a vulnerability where an attacker could cause improper deserialization of untrusted data. A successful exploit of this vulnerability might lead to code execution, data tampering, and information disclosure. |
| NVIDIA Megatron Bridge for Linux contains a vulnerability where an attacker could cause deserialization of untrusted data. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, data tampering, and information disclosure. |
| NVIDIA Megatron Bridge for Linux contains a vulnerability where an attacker could cause deserialization of untrusted data. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, data tampering, and information disclosure. |
| NVIDIA Megatron Bridge for Linux contains a vulnerability where an attacker could cause deserialization of untrusted data. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, data tampering, and information disclosure. |
| NVIDIA Megatron Bridge for Linux contains a vulnerability where an attacker could cause improper validation of allowed inputs. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, data tampering, and information disclosure. |
| 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. |
| Heap type confusion and out-of-bounds read/write in the Apache Fory C++ implementation. When deserializing data in compatible mode, the field-skip paths do not correctly validate the declared field types against the actual data, so input with an inconsistent schema can cause type confusion and out-of-bounds memory access. Only the C++ implementation is affected; other language implementations of Apache Fory are not.
This issue affects Apache Fory C++: from 0.14.0 before 1.4.0.
Users are recommended to upgrade to version 1.4.0, which fixes the issue. |
| ktransformers through 0.6.3, fixed in commit def0f93, contains an unauthenticated pickle deserialization vulnerability that allows remote attackers to execute arbitrary commands by sending crafted pickle payloads to the SchedulerServer ZMQ ROUTER socket bound to all interfaces. Attackers can exploit malicious __reduce__ methods embedded in crafted pickle payloads to execute arbitrary shell commands as the server process. |
| Dell Unisphere for PowerMax, version(s) 10.3.0.5 and prior, contain(s) a Deserialization of Untrusted Data vulnerability. A low privileged attacker with remote access could potentially exploit this vulnerability, leading to arbitrary command execution with root privileges. |
| Wazuh is a free and open source platform used for threat prevention, detection, and response. Prior to version 4.14.5, issues in the Cluster Distributed API (DAPI) handling allow a cluster peer, or any actor able to authenticate to the cluster channel using the shared cluster key, to make the master node deserialize an attacker-controlled callable and execute it under an attacker-controlled RBAC context. The cluster code in `framework/wazuh/core/cluster/common.py` deserializes JSON with `as_wazuh_object()`, which resolves any callable whose top-level package is wazuh or api (an overly broad allowlist controlled only by `ALLOWED_CALLABLES_PACKAGES`), and DAPI requests handled in framework/wazuh/core/cluster/dapi/dapi.py accept a client-supplied rbac_permissions value that `run_local()` applies as the global RBAC context, so supplying an rbac_mode of black causes authorization checks for expose_resources-protected functions to pass without any legitimate permission assignment. Combined, these allow privileged administrative actions on the master node such as arbitrary file writes under WAZUH_PATH, creation of new API users, and tampering with security.yaml, and can be chained into full manager compromise. This issue has been fixed in version 4.14.5. |
| NVIDIA TensorRT-LLM for any platform contains a vulnerability in visual gen server, where an attacker could cause an unsafe deserialization by unauthorized zeroMQ deserialization. A successful exploit of this vulnerability might lead to code execution. |
| IBM Langflow OSS 1.0.0 through 1.10.0 contain a critical remote code execution vulnerability in the disk-based caching mechanism. The AsyncDiskCache class uses Python's unsafe pickle.loads() function to deserialize cached objects from disk without validation, integrity verification, or authentication, enabling arbitrary code execution when malicious pickle payloads are processed. Attackers who can influence cached data through file system access, malicious workflow inputs, custom components, or API manipulation can achieve complete system compromise with the privileges of the Langflow server process. |
| A vulnerability in keras-team/keras version 3.15.0 allows unsafe deserialization of attacker-controlled PyTorch pickle data through the public `keras.layers.TorchModuleWrapper.from_config` method. This method invokes `torch.load(..., weights_only=False)` without requiring an explicit unsafe opt-in, such as a `safe_mode=False` parameter. When called outside a `SafeModeScope(True)` context, the absence of an ambient safe mode state permits unsafe deserialization by default. This issue can lead to arbitrary code execution if untrusted Keras layer configurations are processed using this method. The vulnerability arises because the method does not enforce safe deserialization practices unless explicitly guarded by Keras safe mode. |
| A vulnerability was detected in yzhao062 pyod up to 3.6.1. Affected is the function pyod.utils.persistence.load of the file pyod/utils/persistence.py. Performing a manipulation of the argument path results in deserialization. The attack can be initiated remotely. Upgrading to version 3.6.2 is able to address this issue. It is recommended to apply a patch to fix this issue. The pull request to fix this issue requires some minor changes. |
| PyTorch Lightning through 2.6.5, fixed in commit d710d68, contains a remote code execution vulnerability in the _load_state function that imports and executes attacker-controlled module names from checkpoint _instantiator hyperparameters. Attackers can craft malicious checkpoint files that bypass weights_only=True protections to execute arbitrary code when LightningModule.load_from_checkpoint is called. |
