CVEs of 2025.

BentoML is a Python library for building online serving systems optimized for AI apps and model inference. Prior to 1.4.8, there was an insecure deserialization in BentoML's runner server. By setting specific headers and parameters in the POST request, it is possible to execute any unauthorized arbitrary code on the server, which will grant the attackers to have the initial access and information disclosure on the server. This vulnerability is fixed in 1.4.8.

Drop everything Code execution Library Bentoml

FreePBX Endpoint Manager is a module for managing telephony endpoints in FreePBX systems. In versions prior to 16.0.92 for FreePBX 16 and versions prior to 17.0.6 for FreePBX 17, the Endpoint Manager module contains an authenticated arbitrary file upload vulnerability affecting the fwbrand parameter. The fwbrand parameter allows an attacker to change the file path. Combined, these issues can result in a webshell being uploaded. Authentication with a known username is required to exploit this vulnerability. Successful exploitation allows authenticated users to upload arbitrary files to attacker-controlled paths on the server, potentially leading to remote code execution. This issue has been patched in version 16.0.92 for FreePBX 16 and version 17.0.6 for FreePBX 17.

Code execution Library

Schema parsing in the parquet-avro module of Apache Parquet 1.15.0 and previous versions allows bad actors to execute arbitrary code Users are recommended to upgrade to version 1.15.1, which fixes the issue.

Drop everything Code execution Library Apache Parquet Java

BentoML is a Python library for building online serving systems optimized for AI apps and model inference. A Remote Code Execution (RCE) vulnerability caused by insecure deserialization has been identified in the latest version (v1.4.2) of BentoML. It allows any unauthenticated user to execute arbitrary code on the server. It exists an unsafe code segment in serde.py. This vulnerability is fixed in 1.4.3.

Drop everything Code execution Library Bentoml

A vulnerability in mintplex-labs/anything-llm prior to version 1.3.1 allows for path traversal due to improper handling of non-ASCII filenames in the multer library. This vulnerability can lead to arbitrary file write, which can subsequently result in remote code execution. The issue arises when the filename transformation introduces '../' sequences, which are not sanitized by multer, allowing attackers with manager or admin roles to write files to arbitrary locations on the server.

Code execution Library Mintplexlabs Anythingllm

An unauthenticated remote command execution vulnerability exists in the applyCT component of the Hikvision Integrated Security Management Platform due to the use of a vulnerable version of the Fastjson library. The endpoint /bic/ssoService/v1/applyCT deserializes untrusted user input, allowing an attacker to trigger Fastjson's auto-type feature to load arbitrary Java classes. By referencing a malicious class via an LDAP URL, an attacker can achieve remote code execution on the underlying system. Exploitation evidence was observed by the Shadowserver Foundation on 2025-02-05 UTC.

Code execution Library

Versions of the package cockpit-hq/cockpit before 2.4.1 are vulnerable to Arbitrary File Upload where an attacker can use different extension to bypass the upload filter.

Code execution Library

eslint-config-prettier 8.10.1, 9.1.1, 10.1.6, and 10.1.7 has embedded malicious code for a supply chain compromise. Installing an affected package executes an install.js file that launches the node-gyp.dll malware on Windows.

exploited Code execution Library Prettier eslint-config-prettier

Due to a deserialization vulnerability in SAP NetWeaver, an unauthenticated attacker could exploit the system through the RMI-P4 module by submitting malicious payload to an open port. The deserialization of such untrusted Java objects could lead to arbitrary OS command execution, posing a high impact to the application's confidentiality, integrity, and availability.

Code execution Library

A remote code execution (RCE) vulnerability exists in the ms-swift project version 3.3.0 due to unsafe deserialization in tests/run.py using yaml.load() from the PyYAML library (versions = 5.3.1). If an attacker can control the content of the YAML configuration file passed to the --run_config parameter, arbitrary code can be executed during deserialization. This can lead to full system compromise. The vulnerability is triggered when a malicious YAML file is loaded, allowing the execution of arbitrary Python commands such as os.system(). It is recommended to upgrade PyYAML to version 5.4 or higher, and to use yaml.safe_load() to mitigate the issue.

Code execution Library

Zohocorp ManageEngine Exchange Reporter Plus versions 5721 and prior are vulnerable to Remote code execution in the Content Search module.

Code execution Library Zohocorp Manageengine Exchange Reporter Plus

PyTorch is a Python package that provides tensor computation with strong GPU acceleration and deep neural networks built on a tape-based autograd system. In version 2.5.1 and prior, a Remote Command Execution (RCE) vulnerability exists in PyTorch when loading a model using torch.load with weights_only=True. This issue has been patched in version 2.6.0.

Code execution Library Linuxfoundation Pytorch

A pickle deserialization vulnerability exists in the Latex English error correction plug-in function of binary-husky/gpt_academic versions up to and including 3.83. This vulnerability allows attackers to achieve remote command execution by deserializing untrusted data. The issue arises from the inclusion of numpy in the deserialization whitelist, which can be exploited by constructing a malicious compressed package containing a merge_result.pkl file and a merge_proofread_en.tex file. The vulnerability is fixed in commit 91f5e6b.

Code execution Library binary-husky Gpt Academic

DLL Search Order Hijacking vulnerability potentially allowed an attacker with administrator privileges to load a malicious dynamic-link library and execute its code.

Code execution Library

A vulnerability in the RpcAgentServerLauncher class of modelscope/agentscope v0.0.6a3 allows for remote code execution (RCE) via deserialization of untrusted data using the dill library. The issue occurs in the AgentServerServicer.create_agent method, where serialized input is deserialized using dill.loads, enabling an attacker to execute arbitrary commands on the server.

Code execution Library

A path traversal vulnerability exists in binary-husky/gpt_academic version git 310122f. The application supports the extraction of user-provided 7z files without proper validation. The Python py7zr package used for extraction does not guarantee that files will remain within the intended extraction directory. An attacker can exploit this vulnerability to perform arbitrary file writes, which can lead to remote code execution.

Code execution Library binary-husky Gpt Academic

A vulnerability in binary-husky/gpt_academic version git 310122f allows for remote code execution. The application supports the extraction of user-provided RAR files without proper validation. The Python rarfile module, which supports symlinks, can be exploited to perform arbitrary file writes. This can lead to remote code execution by writing to sensitive files such as SSH keys, crontab files, or the application's own code.

Code execution Library binary-husky Gpt Academic

Zohocorp ManageEngine ServiceDesk Plus MSP and SupportCenter Plus versions below 14920 are vulnerable to authenticated Local File Inclusion (LFI) in the Admin module, where help card content is loaded.

Code execution Library Zohocorp Manageengine Servicedesk Plus Msp

Schema parsing in the parquet-avro module of Apache Parquet 1.15.0 and previous versions allows bad actors to execute arbitrary code. While 1.15.1 introduced a fix to restrict untrusted packages, the default setting of trusted packages still allows malicious classes from these packages to be executed. The exploit is only applicable if the client code of parquet-avro uses the "specific" or the "reflect" models deliberately for reading Parquet files. ("generic" model is not impacted) Users are recommended to upgrade to 1.15.2 or set the system property "org.apache.parquet.avro.SERIALIZABLE_PACKAGES" to an empty string on 1.15.1. Both are sufficient to fix the issue.

Code execution Library Apache Parquet

Python JSON Logger is a JSON Formatter for Python Logging. Between 30 December 2024 and 4 March 2025 Python JSON Logger was vulnerable to RCE through a missing dependency. This occurred because msgspec-python313-pre was deleted by the owner leaving the name open to being claimed by a third party. If the package was claimed, it would allow them RCE on any Python JSON Logger user who installed the development dependencies on Python 3.13 (e.g. pip install python-json-logger[dev]). This issue has been resolved with 3.3.0.

Code execution Library Nhairs Python Json Logger

The modelscope/ms-swift library thru 2.6.1 is vulnerable to arbitrary code execution through deserialization of untrusted data within the `load_model_meta()` function of the `ModelFileSystemCache()` class. Attackers can execute arbitrary code and commands by crafting a malicious serialized `.mdl` payload, exploiting the use of `pickle.load()` on data from potentially untrusted sources. This vulnerability allows for remote code execution (RCE) by deceiving victims into loading a seemingly harmless checkpoint during a normal training process, thereby enabling attackers to execute arbitrary code on the targeted machine. Note that the payload file is a hidden file, making it difficult for the victim to detect tampering. More importantly, during the model training process, after the `.mdl` file is loaded and executes arbitrary code, the normal training process remains unaffected'meaning the user remains unaware of the arbitrary code execution.

Code execution Library

A possible security vulnerability has been identified in Apache Kafka. This requires access to a alterConfig to the cluster resource, or Kafka Connect worker, and the ability to create/modify connectors on it with an arbitrary Kafka client SASL JAAS config and a SASL-based security protocol, which has been possible on Kafka clusters since Apache Kafka 2.0.0 (Kafka Connect 2.3.0). When configuring the broker via config file or AlterConfig command, or connector via the Kafka Kafka Connect REST API, an authenticated operator can set the `sasl.jaas.config` property for any of the connector's Kafka clients to "com.sun.security.auth.module.LdapLoginModule", which can be done via the `producer.override.sasl.jaas.config`, `consumer.override.sasl.jaas.config`, or `admin.override.sasl.jaas.config` properties. This will allow the server to connect to the attacker's LDAP server and deserialize the LDAP response, which the attacker can use to execute java deserialization gadget chains on the Kafka connect server. Attacker can cause unrestricted deserialization of untrusted data (or) RCE vulnerability when there are gadgets in the classpath. Since Apache Kafka 3.0.0, users are allowed to specify these properties in connector configurations for Kafka Connect clusters running with out-of-the-box configurations. Before Apache Kafka 3.0.0, users may not specify these properties unless the Kafka Connect cluster has been reconfigured with a connector client override policy that permits them. Since Apache Kafka 3.9.1/4.0.0, we have added a system property ("-Dorg.apache.kafka.disallowed.login.modules") to disable the problematic login modules usage in SASL JAAS configuration. Also by default "com.sun.security.auth.module.JndiLoginModule,com.sun.security.auth.module.LdapLoginModule" are disabled in Apache Kafka Connect 3.9.1/4.0.0. We advise the Kafka users to validate connector configurations and only allow trusted LDAP configurations. Also examine connector dependencies for vulnerable versions and either upgrade their connectors, upgrading that specific dependency, or removing the connectors as options for remediation. Finally, in addition to leveraging the "org.apache.kafka.disallowed.login.modules" system property, Kafka Connect users can also implement their own connector client config override policy, which can be used to control which Kafka client properties can be overridden directly in a connector config and which cannot.

Code execution Library Apache Kafka

A Remote Code Execution (RCE) vulnerability has been identified in the Kedro ShelveStore class (version 0.19.8). This vulnerability allows an attacker to execute arbitrary Python code via deserialization of malicious payloads, potentially leading to a full system compromise. The ShelveStore class uses Python's shelve module to manage session data, which relies on pickle for serialization. Crafting a malicious payload and storing it in the shelve file can lead to RCE when the payload is deserialized.

Code execution Library

Untrusted search path in .NET and Visual Studio allows an unauthorized attacker to execute code over a network.

Code execution Library Microsoft Visual Studio 2022

In CVE-2023-25194, we announced the RCE/Denial of service attack via SASL JAAS JndiLoginModule configuration in Kafka Connect API. But not only Kafka Connect API is vulnerable to this attack, the Apache Kafka brokers also have this vulnerability. To exploit this vulnerability, the attacker needs to be able to connect to the Kafka cluster and have the AlterConfigs permission on the cluster resource. Since Apache Kafka 3.4.0, we have added a system property ("-Dorg.apache.kafka.disallowed.login.modules") to disable the problematic login modules usage in SASL JAAS configuration. Also by default "com.sun.security.auth.module.JndiLoginModule" is disabled in Apache Kafka 3.4.0, and "com.sun.security.auth.module.JndiLoginModule,com.sun.security.auth.module.LdapLoginModule" is disabled by default in in Apache Kafka 3.9.1/4.0.0

Code execution Library Apache Kafka

In pig-mesh Pig versions 3.8.2 and below, when setting up scheduled tasks in the Quartz management function under the system management module, it is possible to execute any Java class with a parameterless constructor and its methods with parameter type String through reflection. At this time, the eval method in Tomcat's built-in class jakarta.el.ELProcessor can be used to execute commands, leading to a remote code execution vulnerability.

Code execution Library pig4cloud Pig

A flaw was found in Libtiff. This vulnerability is a "write-what-where" condition, triggered when the library processes a specially crafted TIFF image file. By providing an abnormally large image height value in the file's metadata, an attacker can trick the library into writing attacker-controlled color data to an arbitrary memory location. This memory corruption can be exploited to cause a denial of service (application crash) or to achieve arbitrary code execution with the permissions of the user.

Code execution Library

A memory corruption vulnerability exists in the BMPv3 RLE Decoding functionality of the SAIL Image Decoding Library v0.9.8. When decompressing the image data from a specially crafted .bmp file, a heap-based buffer overflow can occur which allows for remote code execution. An attacker will need to convince the library to read a file to trigger this vulnerability.

Code execution Library Sail

A Java deserialisation vulnerability has been discovered in Jaspersoft Library. Improper handling of externally supplied data may allow attackers to execute arbitrary code remotely on systems that use the affected library

Code execution Library Cloud Jasperreports Io

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.

Code execution Library Vllm

Mescius ActiveReports.NET ReadValue Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Mescius ActiveReports.NET. Interaction with this library is required to exploit this vulnerability but attack vectors may vary depending on the implementation. The specific flaw exists within the implementation of the ReadValue 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 process. Was ZDI-CAN-25246.

Code execution Library Mescius activereports.net

Mescius ActiveReports.NET TypeResolutionService Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Mescius ActiveReports.NET. Interaction with this library is required to exploit this vulnerability but attack vectors may vary depending on the implementation. The specific flaw exists within the TypeResolutionService class. 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-25397.

Code execution Library Mescius activereports.net

LangGraph SQLite Checkpoint is an implementation of LangGraph CheckpointSaver that uses SQLite DB (both sync and async, via aiosqlite). In versions 2.1.2 and below, the JsonPlusSerializer (used as the default serialization protocol for all checkpointing) contains a Remote Code Execution (RCE) vulnerability when deserializing payloads saved in the "json" serialization mode. By default, the serializer attempts to use "msgpack" for serialization. However, prior to version 3.0 of the checkpointer library, if illegal Unicode surrogate values caused serialization to fail, it would fall back to using the "json" mode. This issue is fixed in version 3.0.0.

Code execution Library

A memory corruption vulnerability exists in the WebP Image Decoding functionality of the SAIL Image Decoding Library v0.9.8. When loading a specially crafted .webp animation an integer overflow can be made to occur when calculating the stride for decoding. Afterwards, this will cause a heap-based buffer to overflow when decoding the image which can lead to remote code execution. An attacker will need to convince the library to read a file to trigger this vulnerability.

Code execution Library Sail

A memory corruption vulnerability exists in the BMPv3 Image Decoding functionality of the SAIL Image Decoding Library v0.9.8. When loading a specially crafted .bmp file, an integer overflow can be made to occur when calculating the stride for decoding. Afterwards, this will cause a heap-based buffer to overflow when decoding the image which can lead to remote code execution. An attacker will need to convince the library to read a file to trigger this vulnerability.

Code execution Library Sail

npm package `expr-eval` is vulnerable to Prototype Pollution. An attacker with access to express eval interface can use JavaScript prototype-based inheritance model to achieve arbitrary code execution. The npm expr-eval-fork package resolves this issue.

Code execution Library Silentmatt Javascript Expression Evaluator

A Prototype Pollution issue in Aliconnect /sdk v.0.0.6 allows an attacker to execute arbitrary code via the aim function in the aim.js component.

Code execution Library Aliconnect Software Development Kit

A vulnerability was found in aizuda snail-job 1.4.0. It has been classified as critical. Affected is the function getRuntime of the file /snail-job/workflow/check-node-expression of the component Workflow-Task Management Module. The manipulation of the argument nodeExpression leads to deserialization. It is possible to launch the attack remotely. The exploit has been disclosed to the public and may be used.

Code execution Library Aizuda snail-job

RatPanel is a server operation and maintenance management panel. In versions 2.3.19 through 2.5.5, when an attacker obtains the backend login path of RatPanel (including but not limited to weak default paths, brute-force cracking, etc.), they can execute system commands or take over hosts managed by the panel without logging in. In addition to this remote code execution (RCE) vulnerability, the flawed code also leads to unauthorized access. RatPanel uses the CleanPath middleware provided by github.com/go-chi/chi package to clean URLs, but but the middleware does not process r.URL.Path, which can cause the paths to be misinterpreted. This is fixed in version 2.5.6.

Code execution Library

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.

Code execution Library Mthreads Torch Musa

Use of Unmaintained Third Party Components (CWE-1104) in the NuGet dependency components in AxxonSoft Axxon One VMS 2.0.0 through 2.0.4 on Windows allows a remote attacker to execute arbitrary code or bypass security features via exploitation of vulnerable third-party packages such as Google.Protobuf, DynamicData, System.Runtime.CompilerServices.Unsafe, and others.

Code execution Library Axxonsoft Axxon One

In DOXENSE WATCHDOC before 6.1.1.5332, Deserialization of Untrusted Data can lead to remote code execution through the .NET Remoting library in the Watchdoc administration interface.

Code execution Library

Qiskit SDK 0.45.0 through 1.2.4 could allow a remote attacker to cause a denial of service using a maliciously crafted QPY file containing a malformed symengine serialization stream which can cause a segfault within the symengine library.

Code execution Library IBM Qiskit

There is a defect in the CPython standard library module “mimetypes” where on Windows the default list of known file locations are writable meaning other users can create invalid files to cause MemoryError to be raised on Python runtime startup or have file extensions be interpreted as the incorrect file type. This defect is caused by the default locations of Linux and macOS platforms (such as “/etc/mime.types”) also being used on Windows, where they are user-writable locations (“C:\etc\mime.types”). To work-around this issue a user can call mimetypes.init() with an empty list (“[]”) on Windows platforms to avoid using the default list of known file locations.

Code execution Library

Radashi is a TypeScript utility toolkit. Prior to version 12.5.1, the set function within the Radashi library is vulnerable to prototype pollution. If an attacker can control parts of the path argument to the set function, they could potentially modify the prototype of all objects in the JavaScript runtime, leading to unexpected behavior, denial of service, or even remote code execution in some specific scenarios. This issue has been patched in version 12.5.1. A workaround for this issue involves sanitizing the path argument provided to the set function to ensure that no part of the path string is __proto__, prototype, or constructor.

Code execution Library

A memory corruption vulnerability exists in the PSD Image Decoding functionality of the SAIL Image Decoding Library v0.9.8. When loading a specially crafted .psd file, an integer overflow can be made to occur when calculating the stride for decoding. Afterwards, this will cause a heap-based buffer to overflow when decoding the image which can lead to remote code execution. An attacker will need to convince the library to read a file to trigger this vulnerability.

Code execution Library Sail

A vulnerability in Apache Fory allows a remote attacker to cause a Denial of Service (DoS). The issue stems from the insecure deserialization of untrusted data. An attacker can supply a large, specially crafted data payload that, when processed, consumes an excessive amount of CPU resources during the deserialization process. This leads to CPU exhaustion, rendering the application or system using the Apache Fory library unresponsive and unavailable to legitimate users. Users of Apache Fory are strongly advised to upgrade to version 0.12.2 or later to mitigate this vulnerability. Developers of libraries and applications that depend on Apache Fory should update their dependency requirements to Apache Fory 0.12.2 or later and release new versions of their software.

Code execution Library Apache Fory

Registrator is a GitHub app that automates creation of registration pull requests for julia packages to the General registry. Prior to version 1.9.5, if the clone URL returned by GitHub is malicious (or can be injected using upstream vulnerabilities), an argument injection is possible in the `gettreesha()` function. This can then lead to a potential remote code execution. Users should upgrade immediately to v1.9.5 to receive a patch. All prior versions are vulnerable. No known workarounds are available.

Code execution Library Julialang Registrator

NetSarang Xmanager Enterprise 5.0 Build 1232, Xmanager 5.0 Build 1045, Xshell 5.0 Build 1322, Xftp 5.0 Build 1218, and Xlpd 5.0 Build 1220 contain a malicious nssock2.dll that implements a multi-stage, DNS-based backdoor. The dormant library contacts a C2 DNS server via a specially crafted TXT record for a month‑generated domain. After receiving a decryption key, it then downloads and executes arbitrary code, creates an encrypted virtual file system (VFS) in the registry, and grants the attacker full remote code execution, data exfiltration, and persistence. NetSarang released builds for each product line that remediated the compromise: Xmanager Enterprise Build 1236, Xmanager Build 1049, Xshell Build 1326, Xftp Build 1222, and Xlpd Build 1224. Kaspersky Lab identified an instance of exploitation in the wild in August 2017.

Code execution Library

A memory corruption vulnerability exists in the BMPv3 Palette Decoding functionality of the SAIL Image Decoding Library v0.9.8. When loading a specially crafted .bmp file, an integer overflow can be made to occur which will cause a heap-based buffer to overflow when reading the palette from the image. These conditions can allow for remote code execution. An attacker will need to convince the library to read a file to trigger this vulnerability.

Code execution Library Sail