| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| PraisonAI is a multi-agent teams system. Prior to 4.5.115, the AgentService.loadAgentFromFile method uses the js-yaml library to parse YAML files without disabling dangerous tags (such as !!js/function and !!js/undefined). This allows an attacker to craft a malicious YAML file that, when parsed, executes arbitrary JavaScript code. An attacker can exploit this vulnerability by uploading a malicious agent definition file via the API endpoint, leading to remote code execution (RCE) on the server. This vulnerability is fixed in 4.5.115. |
| Deserialization of untrusted data in Azure SDK allows an unauthorized attacker to execute code over a network. |
| Deserialization of untrusted data in Microsoft Office Outlook allows an unauthorized attacker to perform spoofing over a network. |
| Group-Office is an enterprise customer relationship management and groupware tool. Prior to versions 6.8.156, 25.0.90, and 26.0.12, a vulnerability in the AbstractSettingsCollection model leads to insecure deserialization when these settings are loaded. By injecting a serialized FileCookieJar object into a setting string, an authenticated attacker can achieve Arbitrary File Write, leading directly to Remote Code Execution (RCE) on the server. This issue has been patched in versions 6.8.156, 25.0.90, and 26.0.12. |
| DeepDiff is a project focused on Deep Difference and search of any Python data. From version 5.0.0 to before version 8.6.2, the pickle unpickler _RestrictedUnpickler validates which classes can be loaded but does not limit their constructor arguments. A few of the types in SAFE_TO_IMPORT have constructors that allocate memory proportional to their input (builtins.bytes, builtins.list, builtins.range). A 40-byte pickle payload can force 10+ GB of memory, which crashes applications that load delta objects or call pickle_load with untrusted data. This issue has been patched in version 8.6.2. |
| Deserialization of Untrusted Data vulnerability in Apache Storm.
Versions Affected:
before 2.8.6.
Description:
When processing topology credentials submitted via the Nimbus Thrift API, Storm deserializes the base64-encoded TGT blob using ObjectInputStream.readObject() without any class filtering or validation. An authenticated user with topology submission rights could supply a crafted serialized object in the "TGT" credential field, leading to remote code execution in both the Nimbus and Worker JVMs.
Mitigation:
2.x users should upgrade to 2.8.6.
Users who cannot upgrade immediately should monkey-patch an ObjectInputFilter allow-list to ClientAuthUtils.deserializeKerberosTicket() restricting deserialized classes to javax.security.auth.kerberos.KerberosTicket and its known dependencies. A guide on how to do this is available in the release notes of 2.8.6.
Credit: This issue was discovered by K. |
| The divi-booster WordPress plugin before 5.0.2 does not have authorization and CSRF checks in one of its fixing function, allowing unauthenticated users to modify stored divi-booster WordPress plugin before 5.0.2 options. Furthermore, due to the use of unserialize() on the data, this could be further exploited when combined with a PHP gadget chain to achieve PHP Object Injection |
| A high-severity remote code execution vulnerability exists in feast-dev/feast version 0.53.0, specifically in the Kubernetes materializer job located at `feast/sdk/python/feast/infra/compute_engines/kubernetes/main.py`. The vulnerability arises from the use of `yaml.load(..., Loader=yaml.Loader)` to deserialize `/var/feast/feature_store.yaml` and `/var/feast/materialization_config.yaml`. This method allows for the instantiation of arbitrary Python objects, enabling an attacker with the ability to modify these YAML files to execute OS commands on the worker pod. This vulnerability can be exploited before the configuration is validated, potentially leading to cluster takeover, data poisoning, and supply-chain sabotage. |
| Deserialization of Untrusted Data vulnerability in modeltheme ModelTheme Addons for WPBakery and Elementor modeltheme-addons-for-wpbakery allows Object Injection.This issue affects ModelTheme Addons for WPBakery and Elementor: from n/a through < 1.5.6. |
| A vulnerability has been found in viames Pair Framework up to 1.9.11 and classified as critical. Affected by this vulnerability is the function getCookieContent of the file /src/UserRemember.php of the component PHP Object Handler. The manipulation of the argument cookieName leads to deserialization. The attack can be launched remotely. The exploit has been disclosed to the public and may be used. |
| A PHP object injection vulnerability exists in SugarCRM versions prior to 6.5.24, 6.7.13, 7.5.2.5, 7.6.2.2, and 7.7.1.0 due to improper validation of PHP serialized input in the SugarRestSerialize.php script. The vulnerable code fails to sanitize the rest_data parameter before passing it to the unserialize() function. This allows an unauthenticated attacker to submit crafted serialized data containing malicious object declarations, resulting in arbitrary code execution within the application context. Although SugarCRM released a prior fix in advisory sugarcrm-sa-2016-001, the patch was incomplete and failed to address some vectors. Exploitation evidence was observed by the Shadowserver Foundation on 2024-09-13 UTC. |
| Deserialization of untrusted data issue exists in BizRobo! all versions. If this vulnerability is exploited, an arbitrary code is executed on the Management Console.
The vendor provides the workaround information and recommends to apply it to the deployment environment. |
| Subnet Solutions
PowerSYSTEM Center is affected by a mishandling of exceptional conditions vulnerability. Crafted data that is passed to the API may trigger an exception, resulting in a denial-of-service condition. |
| NVIDIA Merlin Transformers4Rec for Linux contains a vulnerability in the Trainer component, where a user could cause a deserialization issue. A successful exploit of this vulnerability might lead to code execution, denial of service, information disclosure, and data tampering. |
| NVIDIA NVTabular for Linux contains a vulnerability in the Workflow component, where a user could cause a deserialization issue. A successful exploit of this vulnerability might lead to code execution, denial of service, information disclosure, and data tampering. |
| Cap Collectif is an online decision making platform that integrates several tools. Before commit 812f2a7d271b76deab1175bdaf2be0b8102dd198, the `DebateAlternateArgumentsResolver` deserializes a `Cursor`, allowing any classes and which can be controlled by unauthenticated user. Exploitation of this vulnerability can lead to Remote Code Execution. The vulnerability is fixed in commit 812f2a7d271b76deab1175bdaf2be0b8102dd198. |
| PowSyBl (Power System Blocks) is a framework to build power system oriented software. In versions 6.3.0 to 6.7.1, there is a deserialization issue in the read method of the SparseMatrix class that can lead to a wide range of privilege escalations depending on the circumstances. This method takes in an InputStream and returns a SparseMatrix object. This issue has been patched in com.powsybl:powsybl-math: 6.7.2. A workaround for this issue involves not using SparseMatrix deserialization (SparseMatrix.read(...) methods). |
| Deserialization of untrusted data can occur in versions of the Keras framework running versions 3.11.0 up to but not including 3.11.3, enabling a maliciously uploaded Keras file containing a TorchModuleWrapper class to run arbitrary code on an end user’s system when loaded despite safe mode being enabled. The vulnerability can be triggered through both local and remote files. |
| A vulnerability was found in FunAudioLLM InspireMusic up to bf32364bcb0d136497ca69f9db622e9216b029dd. It has been classified as critical. Affected is the function load_state_dict of the file inspiremusic/cli/model.py of the component Pickle Data Handler. The manipulation leads to deserialization. An attack has to be approached locally. This product is using a rolling release to provide continious delivery. Therefore, no version details for affected nor updated releases are available. The name of the patch is 784cbf8dde2cf1456ff808aeba23177e1810e7a9. It is recommended to apply a patch to fix this issue. |
| python-socketio is a Python implementation of the Socket.IO realtime client and server. A remote code execution vulnerability in python-socketio versions prior to 5.14.0 allows attackers to execute arbitrary Python code through malicious pickle deserialization in multi-server deployments on which the attacker previously gained access to the message queue that the servers use for internal communications. When Socket.IO servers are configured to use a message queue backend such as Redis for inter-server communication, messages sent between the servers are encoded using the `pickle` Python module. When a server receives one of these messages through the message queue, it assumes it is trusted and immediately deserializes it. The vulnerability stems from deserialization of messages using Python's `pickle.loads()` function. Having previously obtained access to the message queue, the attacker can send a python-socketio server a crafted pickle payload that executes arbitrary code during deserialization via Python's `__reduce__` method. This vulnerability only affects deployments with a compromised message queue. The attack can lead to the attacker executing random code in the context of, and with the privileges of a Socket.IO server process. Single-server systems that do not use a message queue, and multi-server systems with a secure message queue are not vulnerable. In addition to making sure standard security practices are followed in the deployment of the message queue, users of the python-socketio package can upgrade to version 5.14.0 or newer, which remove the `pickle` module and use the much safer JSON encoding for inter-server messaging. |
