| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| Deserialization of Untrusted Data vulnerability in Mitsubishi Electric GENESIS64 versions 10.97 to 10.97.1, Mitsubishi Electric Iconics Digital Solutions GENESIS64 versions 10.97 to 10.97.1, Mitsubishi Electric ICONICS Suite versions 10.97 to 10.97.1, Mitsubishi Electric Iconics Digital Solutions ICONICS Suite versions 10.97 to 10.97.1, Mitsubishi Electric GENESIS32 versions 9.7 and prior, Mitsubishi Electric Iconics Digital Solutions GENESIS32 versions 9.7 and prior, and Mitsubishi Electric MC Works64 versions 4.04E and prior allows a remote unauthenticated attacker to execute an arbitrary malicious code by sending specially crafted packets to the GENESIS64, ICONICS Suite, GENESIS32, or MC Works64 server. |
| Deserialization of Untrusted Data vulnerability in Axiomthemes Sweet Dessert allows Object Injection.This issue affects Sweet Dessert: from n/a before 1.1.13. |
| MooreThreads torch_musa through all versions contains an unsafe deserialization vulnerability in torch_musa.utils.compare_tool. The compare_for_single_op() and nan_inf_track_for_single_op() functions use pickle.load() on user-controlled file paths without validation, allowing arbitrary code execution. An attacker can craft a malicious pickle file that executes arbitrary Python code when loaded, enabling remote code execution with the privileges of the victim process. |
| FontForge SFD File Parsing Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of FontForge. 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 SFD 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 process. Was ZDI-CAN-28198. |
| 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. |
| Genymobile/scrcpy versions up to and including 3.3.3, prior to commit 3e40b24, contain a buffer overflow vulnerability in the sc_device_msg_deserialize() function. A compromised device can send crafted messages that cause out-of-bounds reads, which may result in memory corruption or a denial-of-service condition. This vulnerability may allow further exploitation on the host system. |
| Fickling is a Python pickling decompiler and static analyzer. Versions prior to 0.1.6 are missing `marshal` and `types` from the block list of unsafe module imports. Fickling started blocking both modules to address this issue. This allows an attacker to craft a malicious pickle file that can bypass fickling since it misses detections for `types.FunctionType` and `marshal.loads`. A user who deserializes such a file, believing it to be safe, would inadvertently execute arbitrary code on their system. This impacts any user or system that uses Fickling to vet pickle files for security issues. The issue was fixed in version 0.1.6. |
| Fickling is a Python pickling decompiler and static analyzer. Versions prior to 0.1.6 had a bypass caused by `pty` missing from the block list of unsafe module imports. This led to unsafe pickles based on `pty.spawn()` being incorrectly flagged as `LIKELY_SAFE`, and was fixed in version 0.1.6. This impacted any user or system that used Fickling to vet pickle files for security issues. |
| LMDeploy is a toolkit for compressing, deploying, and serving LLMs. Prior to version 0.11.1, an insecure deserialization vulnerability exists in lmdeploy where torch.load() is called without the weights_only=True parameter when loading model checkpoint files. This allows an attacker to execute arbitrary code on the victim's machine when they load a malicious .bin or .pt model file. This issue has been patched in version 0.11.1. |
| An insecure deserialization vulnerability exists in the download.php script of the to3k Twittodon application through commit b1c58a7d1dc664b38deb486ca290779621342c0b (2023-02-28). The 'obj' parameter receives base64-encoded data that is passed directly to the unserialize() function without validation. This allows a remote, unauthenticated attacker to inject arbitrary PHP objects, leading to a denial of service. |
| An insecure deserialization vulnerability exists in the rss-mp3.php script of the MiczFlor RPi-Jukebox-RFID project through commit 4b2334f0ae0e87c0568876fc41c48c38aa9a7014 (2025-10-07). The 'rss' GET parameter receives data that is passed directly to the unserialize() function without validation. This allows a remote, unauthenticated attacker to inject arbitrary PHP objects, causing the application to process them and leading to errors or a denial of service. |
| Fugue is a unified interface for distributed computing that lets users execute Python, Pandas, and SQL code on Spark, Dask, and Ray with minimal rewrites. In version 0.9.2 and prior, there is a remote code execution vulnerability by pickle deserialization via FlaskRPCServer. The Fugue framework implements an RPC server system for distributed computing operations. In the core functionality of the RPC server implementation, I found that the _decode() function in fugue/rpc/flask.py directly uses cloudpickle.loads() to deserialize data without any sanitization. This creates a remote code execution vulnerability when malicious pickle data is processed by the RPC server. The vulnerability exists in the RPC communication mechanism where the client can send arbitrary serialized Python objects that will be deserialized on the server side, allowing attackers to execute arbitrary code on the victim's machine. This issue has been patched via commit 6f25326. |
| 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. |
| Hugging Face Accelerate Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Hugging Face Accelerate. 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-27985. |
| Tencent FaceDetection-DSFD resnet Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Tencent FaceDetection-DSFD. 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 resnet 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-27197. |
| The Ninja Forms WordPress plugin before 3.11.1 unserializes user input via form field, which could allow Unauthenticated users to perform PHP Object Injection when a suitable gadget is present on the blog. |
| pluginsGLPI's Database Inventory Plugin "manages" the Teclib' inventory agents in order to perform an inventory of the databases present on the workstation. Prior to version 1.1.2, in certain conditions (database write access must first be obtained through another vulnerability or misconfiguration), user-controlled data is stored insecurely in the database via computergroup, and is later unserialized on every page load, allowing arbitrary PHP object instantiation. Version 1.1.2 fixes the issue. |
| The Doubly – Cross Domain Copy Paste for WordPress plugin for WordPress is vulnerable to PHP Object Injection in all versions up to, and including, 1.0.46 via deserialization of untrusted input from the content.txt file within uploaded ZIP archives. This makes it possible for authenticated attackers, with Subscriber-level access and above, to inject a PHP Object. The additional presence of a POP chain allows attackers to execute arbitrary code, delete files, retrieve sensitive data, or perform other actions depending on the available gadgets. This is only exploitable by subscribers, when administrators have explicitly enabled that access. |
| The vulnerability arises when a client fetches a tools’ JSON specification, known as a Manual, from a remote Manual Endpoint. While a provider may initially serve a benign manual (e.g., one defining an HTTP tool call), earning the clients’ trust, a malicious provider can later change the manual to exploit the client. |
| A security vulnerability has been detected in tiny-rdm Tiny RDM up to 1.2.5. Affected by this vulnerability is the function pickle.loads of the file pickle_convert.go of the component Pickle Decoding. The manipulation leads to deserialization. The attack can be initiated remotely. A high degree of complexity is needed for the attack. The exploitation appears to be difficult. 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. |
