Total
3617 CVE
| CVE | Vendors | Products | Updated | CVSS v2 | CVSS v3 |
|---|---|---|---|---|---|
| CVE-2026-88900 | 2026-10-20 | N/A | 8.8 HIGH | ||
| Deserialization of Untrusted Data vulnerability in Apache Camel Camel-Jgroups component. This issue affects Apache Camel: from 4.0.0 before 4.18.5, from 4.19.0 before 4.22.1. JGroupsEndpoint.createExchange(Message), which CamelJGroupsReceiver calls for every message the jgroups consumer receives before the exchange is routed, set the exchange body from org.jgroups.Message.getObject(). For an ObjectMessage, which is the message type the Camel jgroups producer sends, JGroups Java-deserializes the payload through an ObjectInputStream on its own receive thread as the message arrives, and getObject() returns the resulting object. No java.io.ObjectInputFilter was applied on that path unless the deployment had set a JVM-wide serialization filter: camel-jgroups installed none, and the JGroups versions shipped with the affected releases apply none of their own, so any serializable class on the application classpath could be instantiated and its deserialization callbacks run. Unless a channel or the channelProperties option is configured, the consumer creates its channel with new JChannel(), the stock JGroups protocol stack, which multicasts over UDP without the AUTH protocol and without encryption, so any host able to reach the cluster's multicast group or bind port can join the cluster and send messages to the consumer without credentials. Such a host could send a crafted serialized object that leads to remote code execution in the Camel process when a usable deserialization gadget chain is present on the classpath, and no non-default option was required on the consumer. Because JGroups materializes the object before Camel's receiver runs, a check performed by Camel can only inspect the deserialized result and cannot stop code that runs during deserialization, so closing the issue also requires a control that applies before the payload is read, as described in the mitigation. Exploitation requires network access to the cluster's multicast group or bind port, which with the default UDP multicast transport means a host on an adjacent network, and a usable gadget chain on the classpath, which is why the severity is assessed as high rather than critical. Users are recommended to upgrade to version 4.23.0, which fixes the issue. If users are on the 4.22.x releases stream, then they are suggested to upgrade to 4.22.1. If users are on the 4.18.x releases stream, then they are suggested to upgrade to 4.18.5. The 4.14.x releases stream and earlier, and the 4.15.x to 4.17.x and 4.19.x to 4.21.x release lines, reached end of life before this issue was resolved and will not receive a fix, so deployments on those lines must move to a supported release. | |||||
| CVE-2026-78162 | 2026-10-20 | N/A | N/A | ||
| Deserialization of Untrusted Data vulnerability in Apache Camel. This issue affects Apache Camel: from 4.0.0 before 4.18.5, from 4.19.0 before 4.22.1. The camel-hazelcast component applies a default Hazelcast JavaSerializationFilterConfig to the instances it creates from its own configuration, a protection introduced by CVE-2026-43865. That change did not reach two of the configuration paths Camel builds itself, so those paths continued to create Hazelcast instances whose Java deserialization is unrestricted. ReplicatedHazelcastAggregationRepository extends HazelcastAggregationRepository but overrides doStart() without calling super.doStart(), keeping its own copy of the bootstrap block, and therefore never received the filter: a route using it without supplying a hazelcastInstance starts a Hazelcast member that deserializes values read from the backing ReplicatedMap with no class restriction. HazelcastDefaultComponent#getOrCreateHzClientInstance() builds its own ClientConfig when hazelcastMode=client is selected and neither a referenced ClientConfig nor hazelcastConfigUri is supplied, and likewise applied no filter, so client-mode endpoints behaved differently from node-mode endpoints for an otherwise identical configuration. In both cases an attacker able to publish into the Hazelcast cluster that the affected instance is attached to can cause a serialized Java object of their choosing to be deserialized inside Hazelcast's own serialization layer, before Camel processes the exchange, resulting in remote code execution. Hazelcast clusters have neither authentication nor TLS enabled by default. Selecting client mode is a topology choice rather than a security option, so neither path required the deployment to opt in to unsafe behaviour. Users are recommended to upgrade to version 4.23.0, which fixes the issue. If users are on the 4.22.x releases stream, then they are suggested to upgrade to 4.22.1. If users are on the 4.18.x releases stream, then they are suggested to upgrade to 4.18.5. The 4.14.x releases stream and earlier reached end of life before this issue was resolved and will not receive a fix, so deployments on those lines must move to a supported release. For deployments that cannot upgrade immediately, supply an explicit Hazelcast configuration carrying a JavaSerializationFilterConfig, or inject a pre-built HazelcastInstance, since a user-supplied configuration is never overwritten by Camel. Alternatively set the JVM-wide filter -Djdk.serialFilter=!java.net.;java.;javax.;org.apache.camel.;!* and enable Hazelcast cluster authentication and TLS to restrict who can reach the cluster. | |||||
| CVE-2026-47168 | 2026-10-20 | N/A | 9.1 CRITICAL | ||
| EspoCRM is an open source customer relationship management application. Prior to 9.3.7, an authenticated administrator can supply crafted serialized PHP object data that is stored in background MassAction or Export parameters and later deserialized by the application. The deserialization paths do not restrict allowed classes, allowing attacker-controlled object instantiation and arbitrary code execution on the server. This issue is fixed in version 9.3.7. | |||||
| CVE-2026-111868 | 2026-10-19 | 6.5 MEDIUM | 6.3 MEDIUM | ||
| A vulnerability was determined in datastax pulsar-jms up to 9.0.3. This issue affects the function decode of the file pulsar-jms/src/main/java/com/datastax/oss/pulsar/jms/messages/PulsarObjectMessage.java. This manipulation causes deserialization. It is possible to initiate the attack remotely. The exploit has been publicly disclosed and may be utilized. The project was informed of the problem early through an issue report but has not responded yet. | |||||
| CVE-2025-14929 | 1 Huggingface | 1 Transformers | 2026-10-19 | N/A | 7.8 HIGH |
| Hugging Face Transformers X-CLIP Checkpoint Conversion Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Hugging Face Transformers. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file. The specific flaw exists within the parsing of checkpoints. The issue results from the lack of proper validation of user-supplied data, which can result in deserialization of untrusted data. An attacker can leverage this vulnerability to execute code in the context of the current process. Was ZDI-CAN-28308. | |||||
| CVE-2025-14071 | 2026-10-19 | N/A | 7.5 HIGH | ||
| The Live Composer – Free WordPress Website Builder plugin for WordPress is vulnerable to PHP Object Injection in all versions up to, and including, 2.0.2 via deserialization of untrusted input in the dslc_module_posts_output shortcode. This makes it possible for authenticated attackers, with Contributor-level access and above, to inject a PHP Object. No known POP chain is present in the vulnerable plugin, which means this vulnerability has no impact unless another plugin or theme containing a POP chain is installed on the site. If a POP chain is present via an additional plugin or theme installed on the target system, it may allow the attacker to perform actions like delete arbitrary files, retrieve sensitive data, or execute code depending on the POP chain present. | |||||
| CVE-2026-31237 | 2026-10-19 | N/A | 9.8 CRITICAL | ||
| The Ludwig framework thru 0.10.4 is vulnerable to insecure deserialization (CWE-502) through its predict() method. When a user provides a dataset file path to the predict() method, the framework automatically determines the file format. If the file is a pickle (.pkl) file, it is loaded using pandas.read_pickle() without any validation or security restrictions. This allows the deserialization of arbitrary Python objects via the unsafe pickle module. A remote attacker can exploit this by providing a maliciously crafted pickle file, leading to arbitrary code execution on the system running the Ludwig prediction. | |||||
| CVE-2025-13716 | 2026-10-19 | N/A | 7.8 HIGH | ||
| Tencent MimicMotion create_pipeline Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Tencent MimicMotion. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file. The specific flaw exists within the create_pipeline function. The issue results from the lack of proper validation of user-supplied data, which can result in deserialization of untrusted data. An attacker can leverage this vulnerability to execute code in the context of root. Was ZDI-CAN-27208. | |||||
| CVE-2026-31224 | 1 Snorkel | 1 Snorkel | 2026-10-19 | N/A | 8.8 HIGH |
| The snorkel library thru v0.10.0 contains an insecure deserialization vulnerability (CWE-502) in the MultitaskClassifier.load() method of the MultitaskClassifier class. The method loads model weight files using torch.load() without enabling the security-restrictive weights_only=True parameter. This default behavior allows the deserialization of arbitrary Python objects via the Pickle module. A remote attacker can exploit this by providing a maliciously crafted model file, leading to arbitrary code execution on the victim's system when the file is loaded via the vulnerable method. | |||||
| CVE-2025-68664 | 1 Langchain | 1 Langchain Core | 2026-10-19 | N/A | 9.3 CRITICAL |
| LangChain is a framework for building agents and LLM-powered applications. Prior to versions 0.3.81 and 1.2.5, a serialization injection vulnerability exists in LangChain's dumps() and dumpd() functions. The functions do not escape dictionaries with 'lc' keys when serializing free-form dictionaries. The 'lc' key is used internally by LangChain to mark serialized objects. When user-controlled data contains this key structure, it is treated as a legitimate LangChain object during deserialization rather than plain user data. This issue has been patched in versions 0.3.81 and 1.2.5. | |||||
| CVE-2025-14921 | 1 Huggingface | 1 Transformers | 2026-10-19 | N/A | 7.8 HIGH |
| Hugging Face Transformers Transformer-XL Model Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Hugging Face Transformers. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file. The specific flaw exists within the parsing of model files. The issue results from the lack of proper validation of user-supplied data, which can result in deserialization of untrusted data. An attacker can leverage this vulnerability to execute code in the context of the current user. Was ZDI-CAN-25424. | |||||
| CVE-2025-13712 | 2026-10-19 | N/A | 7.8 HIGH | ||
| Tencent HunyuanDiT merge Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Tencent HunyuanDiT. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file. The specific flaw exists within the merge endpoint. The issue results from the lack of proper validation of user-supplied data, which can result in deserialization of untrusted data. An attacker can leverage this vulnerability to execute code in the context of root. Was ZDI-CAN-27190. | |||||
| CVE-2026-31223 | 1 Snorkel | 1 Snorkel | 2026-10-19 | N/A | 8.8 HIGH |
| The snorkel library thru v0.10.0 contains a critical insecure deserialization vulnerability (CWE-502) in the BaseLabeler.load() method of the BaseLabeler class. The method loads serialized labeler models using the unsafe pickle.load() function on user-supplied file paths without any validation or security controls. Python's pickle module is inherently dangerous for deserializing untrusted data, as it can execute arbitrary code during the deserialization process. A remote attacker can exploit this by providing a maliciously crafted pickle file, leading to arbitrary code execution on the victim's system when the file is loaded via the vulnerable method. | |||||
| CVE-2026-31229 | 2026-10-19 | N/A | 9.8 CRITICAL | ||
| The Adversarial Robustness Toolbox (ART) thru 1.20.1 contains an insecure deserialization vulnerability (CWE-502) in its Kubeflow component's model loading functionality. When loading model weights from a file (e.g., model.pt) during robustness evaluation, the code uses torch.load() without the security-restrictive weights_only=True parameter. This allows the deserialization of arbitrary Python objects via the Pickle module. An attacker can exploit this by uploading a maliciously crafted model file to an object storage location referenced by the pipeline, or by controlling the model_id parameter to point to such a file. When the pipeline loads the model, the malicious payload is executed, leading to remote code execution. | |||||
| CVE-2026-31234 | 2026-10-19 | N/A | 9.8 CRITICAL | ||
| Horovod thru 0.28.1 contains an insecure deserialization vulnerability (CWE-502) in its KVStore HTTP server component. The KVStore server, used for distributed task coordination, lacks authentication and authorization controls, allowing any remote attacker to write arbitrary data via HTTP PUT requests. When a Horovod worker reads data from the KVStore (via HTTP GET), it deserializes the data using cloudpickle.loads() without verifying its source or integrity. An attacker can exploit this by sending a malicious pickle payload to the server before the legitimate data is written, causing the victim worker to deserialize and execute arbitrary code, leading to remote code execution. | |||||
| CVE-2025-14922 | 2026-10-19 | N/A | 7.8 HIGH | ||
| Hugging Face Diffusers CogView4 Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Hugging Face Diffusers. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file. The specific flaw exists within the parsing of checkpoints. The issue results from the lack of proper validation of user-supplied data, which can result in deserialization of untrusted data. An attacker can leverage this vulnerability to execute code in the context of the current process. Was ZDI-CAN-27424. | |||||
| CVE-2025-13711 | 1 Tencent | 1 Tface | 2026-10-19 | N/A | 7.8 HIGH |
| Tencent TFace eval Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Tencent TFace. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file. The specific flaw exists within the eval endpoint. The issue results from the lack of proper validation of user-supplied data, which can result in deserialization of untrusted data. An attacker can leverage this vulnerability to execute code in the context of root. Was ZDI-CAN-27187. | |||||
| CVE-2025-14931 | 2026-10-19 | N/A | 10.0 CRITICAL | ||
| Hugging Face smolagents Remote Python Executor Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Hugging Face smolagents. Authentication is not required to exploit this vulnerability. The specific flaw exists within the parsing of pickle data. The issue results from the lack of proper validation of user-supplied data, which can result in deserialization of untrusted data. An attacker can leverage this vulnerability to execute code in the context of the service account. Was ZDI-CAN-28312. | |||||
| CVE-2025-14930 | 1 Huggingface | 1 Transformers | 2026-10-19 | N/A | 7.8 HIGH |
| Hugging Face Transformers GLM4 Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Hugging Face Transformers. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file. The specific flaw exists within the parsing of weights. The issue results from the lack of proper validation of user-supplied data, which can result in deserialization of untrusted data. An attacker can leverage this vulnerability to execute code in the context of the current process. Was ZDI-CAN-28309. | |||||
| CVE-2025-63675 | 1 Netinvent | 1 Cryptidy | 2026-10-19 | N/A | 6.9 MEDIUM |
| cryptidy through 1.2.4 allows code execution via untrusted data because pickle.loads is used. This occurs in aes_decrypt_message in symmetric_encryption.py. | |||||