Jooby is a web framework for Java and Kotlin. The pac4j io.jooby.internal.pac4j.SessionStoreImpl#get module deserializes untrusted data. This vulnerability is fixed in 2.17.0 (2.x) and 3.7.0 (3.x).

The Clone plugin for WordPress is vulnerable to PHP Object Injection in all versions up to, and including, 2.4.6 via deserialization of untrusted input in the 'recursive_unserialized_replace' function. This makes it possible for unauthenticated attackers to inject a PHP Object. No known POP chain is present in the vulnerable software. If a POP chain is present via an additional plugin or theme installed on the target system, it could allow the attacker to delete arbitrary files, retrieve sensitive data, or execute code.

By launching the drb_remote_codeexec exploit, a Metasploit Framework user will inadvertently expose Metasploit to the same deserialization issue that is exploited by that module, due to the reliance on the vulnerable Distributed Ruby class functions. Since Metasploit Framework typically runs with elevated privileges, this can lead to a system compromise on the Metasploit workstation. Note that an attacker would have to lie in wait and entice the Metasploit user to run the affected module against a malicious endpoint in a "hack-back" type of attack. Metasploit is only vulnerable when the drb_remote_codeexec module is running. In most cases, this cannot happen automatically.

IBM InfoSphere Information Server 11.3, 11.5, and 11.7 could allow a remote attacker to execute arbitrary code on the system, caused by the deserialization of untrusted data. By persuading a victim to visit a specially crafted Web site, an attacker could exploit this vulnerability to execute arbitrary code on the system. IBM X-Force ID: 176677.

FasterXML jackson-databind 2.x before 2.9.10.8 mishandles the interaction between serialization gadgets and typing, related to org.apache.tomcat.dbcp.dbcp2.cpdsadapter.DriverAdapterCPDS.

FasterXML jackson-databind 2.x before 2.9.10.8 mishandles the interaction between serialization gadgets and typing, related to org.apache.tomcat.dbcp.dbcp2.datasources.PerUserPoolDataSource.

FasterXML jackson-databind 2.x before 2.9.10.8 mishandles the interaction between serialization gadgets and typing, related to org.apache.commons.dbcp2.cpdsadapter.DriverAdapterCPDS.

Cross-Site Request Forgery (CSRF), Deserialization of Untrusted Data vulnerability in ThemeHigh Job Manager & Career – Manage job board listings, and recruitments.This issue affects Job Manager & Career – Manage job board listings, and recruitments: from n/a through 1.4.4.

FasterXML jackson-databind 2.x before 2.9.10.8 mishandles the interaction between serialization gadgets and typing, related to oadd.org.apache.commons.dbcp.cpdsadapter.DriverAdapterCPDS.

Ray is an AI compute engine. From version 2.54.0 to before version 2.55.0, Ray Data registers custom Arrow extension types (ray.data.arrow_tensor, ray.data.arrow_tensor_v2, ray.data.arrow_variable_shaped_tensor) globally in PyArrow. When PyArrow reads a Parquet file containing one of these extension types, it calls __arrow_ext_deserialize__ on the field's metadata bytes. Ray's implementation passes these bytes directly to cloudpickle.loads(), achieving arbitrary code execution during schema parsing, before any row data is read. This issue has been patched in version 2.55.0.

vLLM is a library for LLM inference and serving. vllm/model_executor/weight_utils.py implements hf_model_weights_iterator to load the model checkpoint, which is downloaded from huggingface. It uses the torch.load function and the weights_only parameter defaults to False. When torch.load loads malicious pickle data, it will execute arbitrary code during unpickling. This vulnerability is fixed in v0.7.0.

Inductive Automation Ignition ResponseParser Notification Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Inductive Automation Ignition. User interaction is required to exploit this vulnerability in that the target must connect to a malicious server. The specific flaw exists within the ResponseParser method. 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-22067.

FasterXML jackson-databind 2.x before 2.9.10.8 mishandles the interaction between serialization gadgets and typing, related to org.apache.tomcat.dbcp.dbcp.cpdsadapter.DriverAdapterCPDS.

Redisson is a Java Redis client that uses the Netty framework. Prior to version 3.22.0, some of the messages received from the Redis server contain Java objects that the client deserializes without further validation. Attackers that manage to trick clients into communicating with a malicious server can include especially crafted objects in its responses that, once deserialized by the client, force it to execute arbitrary code. This can be abused to take control of the machine the client is running in. Version 3.22.0 contains a patch for this issue. Some post-fix advice is available. Do NOT use `Kryo5Codec` as deserialization codec, as it is still vulnerable to arbitrary object deserialization due to the `setRegistrationRequired(false)` call. On the contrary, `KryoCodec` is safe to use. The fix applied to `SerializationCodec` only consists of adding an optional allowlist of class names, even though making this behavior the default is recommended. When instantiating `SerializationCodec` please use the `SerializationCodec(ClassLoader classLoader, Set<String> allowedClasses)` constructor to restrict the allowed classes for deserialization.

Remote Cross-site Request forgery (CSRF) potential has been identified in UCMBD Browser version 4.10, 4.11, 4.12, 4.13, 4.14, 4.15, 4.15.1 which could allow for remote unsafe deserialization and cross-site request forgery (CSRF).

Remote Cross-site Request forgery (CSRF) potential has been identified in UCMBD Server version DDM Content Pack V 10.20, 10.21, 10.22, 10.22 CUP7, 10.30, 10.31, 10.32, 10.33, 10.33 CUP2, 11.0 and CMS Server version 2018.05 BACKGROUND which could allow for remote unsafe deserialization and cross-site request forgery (CSRF).

An issue was discovered in Public Knowledge Project (PKP) pkp-lib before 3.1.2-2, as used in Open Journal Systems (OJS) before 3.1.2-2. Code injection can occur in the OJS report generator if an authenticated Journal Manager user visits a crafted URL, because unserialize is used.

Welcart e-Commerce 2.11.6 and earlier versions contains an untrusted data deserialization vulnerability. If this vulnerability is exploited, arbitrary code may be executed by a remote unauthenticated attacker who can access websites created using the product.

The Drag and Drop Multiple File Upload for Contact Form 7 plugin for WordPress is vulnerable to PHP Object Injection in all versions up to, and including, 1.3.8.7 via deserialization of untrusted input from the 'dnd_upload_cf7_upload' function. This makes it possible for attackers to inject a PHP Object through a PHAR file. No known POP chain is present in the vulnerable software, 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. This vulnerability may be exploited by unauthenticated attackers when a form is present on the site with the file upload action. The Flamingo plugin must be installed and activated in order to exploit the vulnerability. The vulnerability was partially patched in version 1.3.8.8.

Deserialization of Untrusted Data vulnerability in BoldGrid weForms weforms allows Object Injection.This issue affects weForms: from n/a through <= 1.6.26.

The snorkel library thru v0.10.0 contains an insecure deserialization vulnerability (CWE-502) in the Trainer.load() method of the Trainer class. The method loads model checkpoint 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.

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.

The CosyVoice project thru commit 6e01309e01bc93bbeb83bdd996b1182a81aaf11e (2025-30-21) contains an insecure deserialization vulnerability (CWE-502) in its model loading process. When loading model files (.pt) from a user-specified directory (via the --model_dir argument), 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 providing a maliciously crafted model directory containing .pt files with embedded pickle payloads. When a victim loads this directory using CosyVoice's web interface, the malicious payload is executed, leading to remote code execution on the victim's system.

Lexmark Markvision Enterprise before 2.3.0 misuses the Apache Commons Collections Library, leading to remote code execution because of Java deserialization.

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.

NVIDIA BioNeMo contains a vulnerability where a user could cause a deserialization of untrusted data. A successful exploit of this vulnerability might lead to code execution, denial of service, information disclosure, and data tampering.

Delta Electronics InfraSuite Device Master versions 00.00.01a and prior deserialize network packets without proper verification. If the device connects to an attacker-controlled server, the attacker could send maliciously crafted packets that would be deserialized and executed, leading to remote code execution.

The Shortcodes and extra features for Phlox theme WordPress plugin before 2.10.7 unserializes the content of an imported file, which could lead to PHP object injection when a user imports (intentionally or not) a malicious file and a suitable gadget chain is present on the blog.

PHPMailer before 5.2.27 and 6.x before 6.0.6 is vulnerable to an object injection attack.

Deserialization of untrusted data can occur in versions of the MLflow platform running version 1.1.0 or newer, enabling a maliciously uploaded scikit-learn model to run arbitrary code on an end user’s system when interacted with.

Deserialization of untrusted data can occur in versions of the MLflow platform running version 1.27.0 or newer, enabling a maliciously crafted Recipe to execute arbitrary code on an end user’s system when run.

Deserialization of untrusted data can occur in versions of the MLflow platform running version 0.5.0 or newer, enabling a maliciously uploaded PyTorch model to run arbitrary code on an end user’s system when interacted with.

Deserialization of untrusted data can occur in versions of the MLflow platform running version 0.9.0 or newer, enabling a maliciously uploaded PyFunc model to run arbitrary code on an end user’s system when interacted with.

Deserialization of untrusted data can occur in versions of the MLflow platform running version 1.23.0 or newer, enabling a maliciously uploaded LightGBM scikit-learn model to run arbitrary code on an end user’s system when interacted with.

Deserialization of untrusted data can occur in versions of the MLflow platform running version 1.1.0 or newer, enabling a maliciously uploaded scikit-learn model to run arbitrary code on an end user’s system when interacted with.

Deserialization of untrusted data can occur in versions of the MLflow platform running version 1.24.0 or newer, enabling a maliciously uploaded pmdarima model to run arbitrary code on an end user’s system when interacted with.

Deserialization of untrusted data can occur in the R statistical programming language, on any version starting at 1.4.0 up to and not including 4.4.0, enabling a maliciously crafted RDS (R Data Serialization) formatted file or R package to run arbitrary code on an end user’s system when interacted with.

Deserialization of untrusted data can occur in versions 0.17.0 to 1.14.2 of the client SDK of Allegro AI’s ClearML platform, enabling a maliciously uploaded artifact to run arbitrary code on an end user’s system when interacted with.

A remote code execution vulnerability exists in "Microsoft COM for Windows" when it fails to properly handle serialized objects, aka "Microsoft COM for Windows Remote Code Execution Vulnerability." This affects Windows 7, Windows Server 2012 R2, Windows RT 8.1, Windows Server 2008, Windows Server 2012, Windows 8.1, Windows Server 2016, Windows Server 2008 R2, Windows 10, Windows 10 Servers.