Code execution CVEs.

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

Untrusted Java Deserialization in Apache OpenNLP SvmDoccatModel Versions Affected:   before 3.0.0-M4 (libsvm document categorization module; introduced in   OPENNLP-1808 and only present on the 3.x line) Description: SvmDoccatModel.deserialize(InputStream) reads an attacker-controlled stream with java.io.ObjectInputStream and calls readObject() without an ObjectInputFilter installed. ObjectInputStream materialises every class referenced in the stream before the resulting object is cast to SvmDoccatModel, so the cast that follows readObject() executes only after the foreign object graph has already been deserialised in full. If a Java deserialization gadget chain is available on the consumer's classpath, a crafted payload supplied to deserialize() executes arbitrary code in the JVM that loads it. Apache OpenNLP itself does not ship a known gadget chain, so the realistic risk is to downstream applications that embed the libsvm module alongside vulnerable transitive dependencies. The method is public and static, so any caller can pass an untrusted stream to it directly. The practical impact is remote code execution against processes that load SvmDoccatModel instances from untrusted or semi-trusted origins. Mitigation: 3.x users should upgrade to 3.0.0-M4. Users who cannot upgrade immediately should treat all serialized SvmDoccatModel streams as untrusted input unless their provenance is verified, and should avoid invoking SvmDoccatModel.deserialize() on streams supplied by end users or fetched from third-party sources without integrity checks.

Code execution Library Apache Opennlp

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

A vulnerability was found in bastillion-io Bastillion up to 4.0.1. This issue affects some unknown processing of the file src/main/java/io/bastillion/manage/control/SystemKtrl.java of the component System Management Module. Performing a manipulation results in command injection. The attack can be initiated remotely. The exploit has been made public and could be used. The vendor was contacted early about this disclosure but did not respond in any way.

Code execution Library

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

Deserialization of untrusted data in Azure SDK allows an unauthorized attacker to execute code over a network.

Code execution Library Microsoft Azure Conversation Authoring Client 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

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

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

SGLang's multimodal generation module is vulnerable to unauthenticated remote code execution through the ZMQ broker, which deserializes untrusted data using pickle.loads() without authentication.

Code execution Library Lmsys Sglang

Docling Core (or docling-core) is a library that defines core data types and transformations in the document processing application Docling. A PyYAML-related Remote Code Execution (RCE) vulnerability, namely CVE-2020-14343, is exposed in docling-core starting in version 2.21.0 and prior to version 2.48.4, specifically only if the application uses pyyaml prior to version 5.4 and invokes `docling_core.types.doc.DoclingDocument.load_from_yaml()` passing it untrusted YAML data. The vulnerability has been patched in docling-core version 2.48.4. The fix mitigates the issue by switching `PyYAML` deserialization from `yaml.FullLoader` to `yaml.SafeLoader`, ensuring that untrusted data cannot trigger code execution. Users who cannot immediately upgrade docling-core can alternatively ensure that the installed version of PyYAML is 5.4 or greater.

Code execution Library Docling docling-core

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

Deserialization of untrusted data in .NET Framework allows an unauthorized attacker to execute code over a network.

Code execution Library

A security vulnerability has been detected in antlr ANTLR4 up to 4.13.2. Affected by this vulnerability is the function GoTarget of the file tool/src/org/antlr/v4/codegen/target/GoTarget.java of the component gofmt. The manipulation leads to command injection. The attack can only be performed from a local environment. The exploit has been disclosed publicly and may be used. The vendor was contacted early about this disclosure but did not respond in any way.

Code execution Library

NLTK versions before 3.10.3 contain a remote code execution vulnerability in allowlisted pickle loaders that trust entire module namespaces instead of specific safe callables. Attackers can craft malicious pickle payloads invoking dangerous in-namespace functions like ReppTokenizer._execute and numpy.f2py.crackfortran.myeval through pickle REDUCE to execute arbitrary commands during model or tokenizer artifact loading.

Code execution Library Nltk

SGLang' encoder parallel disaggregation system is vulnerable to unauthenticated remote code execution through the disaggregation module, which deserializes untrusted data using pickle.loads() without authentication.

Code execution Library Lmsys Sglang

jackson-databind validates the outer class of a class-name type ID but accepts attacker-selected classes inside its generic arguments, even when those classes violate the declared type or would be rejected as direct type IDs. This bypasses the generic-argument validation added for CVE-2026-54512 (GHSA-j3rv-43j4-c7qm), of which this is an incomplete fix. DatabindContext._resolveAndValidateGeneric() checks the outer class against the declared base type and then passes each argument from the type ID to _validateTypeParameter(), which validates the argument against the outer base type rather than enforcing its corresponding declared generic binding. It also invokes validators with arguments that have not passed the subtype check those validators expect. Under the default DefaultBaseTypeLimitingValidator this accepts an unrelated class inside a generic subtype even when the same class is rejected as a direct type ID. Where an allowIfBaseType(...) rule approves the outer type, Jackson substitutes LaissezFaireSubTypeValidator, so the configured validator no longer restricts the embedded arguments. The element type of a plain array type ID such as [Lpkg.Gadget; is likewise left unvalidated once the array's base type is approved. Affected paths include annotation-based class-name polymorphism with a default Jackson 3.x JsonMapper, configured default typing in both Jackson 2.x and 3.x, and integrations that expose that default typing. The default-validator case requires no application-authored validator: with @JsonTypeInfo(use = Id.CLASS), a direct gadget type ID is rejected as "Not a subtype", while a type ID naming a generic wrapper around the same gadget is accepted and deserialized, including attacker-supplied bean properties. Where class-name default typing permits Map, a property declared as Map<String,String> accepts HashMap<FileSystemXmlApplicationContext,String>; map-key discovery then passes the attacker-controlled JSON property name to the selected class's one-string constructor. With Spring on the classpath and attacker-controlled XML the application can load, that constructor loads the XML and invokes ProcessBuilder.start() under the application account, giving arbitrary command execution. This issue affects com.fasterxml.jackson.core:jackson-databind from 2.10.0 and tools.jackson.core:jackson-databind from 3.0.0. Releases before 2.10.0 are not affected, because PolymorphicTypeValidator was introduced in jackson-databind 2.10.0.

Code execution Library

Issue summary: OpenSSL CMP response validation passed an unexpected response sender distinguished name directly as the format string to `ERR_raise_data()`. Impact summary: A malicious or intercepted CMP endpoint can crash a CMP client that enforces an expected sender or uses a pinned server certificate whose subject becomes the default expected sender. CWE: CWE-134 (Use of Externally-Controlled Format String) Description: When validating a received CMP message, ossl_cmp_msg_check_update() converts the peer-supplied sender distinguished name with X509_NAME_oneline() and passes it directly as the format argument to ERR_raise_data(). Percent characters survive the conversion, so a sender DN such as "CN=%s%n" reaches BIO_vsnprintf() as an attacker-controlled format string with no matching variadic arguments. This path is only reached when the caller configures an expected sender or pins a server certificate, which is the normal configuration for a CMP client validating server responses. Since the attacker controls the format string but none of the variadic arguments, such specifiers as %s and %n dereference or write through unrelated stack contents and crash the client. The reliable consequence is a denial of service, when the response comes from a malicious or intercepted CMP endpoint. There is no controlled memory write, arbitrary-address read, or reliable path to remote code execution. FIPS impact: no No FIPS modules are affected by this issue, as the CMP protocol implementation is outside the OpenSSL FIPS module boundary.

Code execution Library OpenSSL

picklescan before 1.0.4 fails to block at least seven Python standard library modules (including uuid, _osx_support, _aix_support, _pyrepl.pager, and imaplib) exposing eight functions that provide direct arbitrary command execution. Attackers can craft malicious pickle files importing these unblocked modules to achieve remote code execution while bypassing picklescan's safety validation entirely.

Code execution Library

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

NLTK before 3.10.3 contains a remote code execution vulnerability in AllowlistUnpickler that validates only the pickle module string and not the global name, allowing attackers to resolve dotted names by attribute traversal to callables outside the allowlisted namespace. Attackers can craft untrusted transition-parser models that execute arbitrary commands when TransitionParser.parse loads the model through allowlisted_pickle_load.

Code execution Library Nltk

A flaw was found in Feast. The system improperly deserializes user-defined functions (UDFs) stored in its registry, which are serialized using the 'dill' library. This allows a remote attacker to store a malicious UDF, leading to unauthenticated arbitrary code execution on the feature server in default configurations. An authenticated attacker can also achieve arbitrary code execution on the registry server by bypassing authorization checks during deserialization. This vulnerability can result in cross-tenant data access and lateral movement within the system.

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

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

oRPC is an tool that helps build APIs that are end-to-end type-safe and adhere to OpenAPI standards. Prior to version 1.13.6, a prototype pollution vulnerability exists in the RPC JSON deserializer of the @orpc/client package. The vulnerability allows unauthenticated, remote attackers to inject arbitrary properties into the global Object.prototype. Because this pollution persists for the lifetime of the Node.js process and affects all objects, it can lead to severe security breaches, including authentication bypass, denial of service, and potentially Remote Code Execution. This issue has been patched in version 1.13.6.

Code execution Library Orpc

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

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

OpenHands Software Agent SDK before 1.52.0 contains an unauthenticated remote code execution vulnerability where the DockerWorkspace and Apptainer workspace launchers bind the sandbox agent server to all network interfaces (0.0.0.0) with an empty session_api_keys list, disabling authentication by default. Attackers who can reach the published container port can send unauthenticated HTTP and WebSocket requests to execute arbitrary shell commands as root in the sandbox, access the mounted workspace, and read plaintext secrets from the secrets store.

Code execution Library

pnpm is a package manager. Versions 10.0.0 through 10.25 allow git-hosted dependencies to execute arbitrary code during pnpm install, circumventing the v10 security feature "Dependency lifecycle scripts execution disabled by default". While pnpm v10 blocks postinstall scripts via the onlyBuiltDependencies mechanism, git dependencies can still execute prepare, prepublish, and prepack scripts during the fetch phase, enabling remote code execution without user consent or approval. This issue is fixed in version 10.26.0.

Code execution Library Pnpm

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

picklescan before 0.0.33 fails to block the ctypes module, allowing attackers to achieve remote code execution by invoking direct syscalls and accessing raw memory. Attackers can craft malicious pickle files using ctypes.WinDLL to load kernel32.dll and execute arbitrary commands, bypassing sandbox protections and gadget chain detection.

Code execution Library

Deserialization of untrusted data in Azure Core shared client library for Python allows an authorized attacker to execute code over a network.

Code execution Library Microsoft Azure Core Shared Client Library

OpenTelemetry Java Instrumentation provides OpenTelemetry auto-instrumentation and instrumentation libraries for Java. In versions prior to 2.26.1, the RMI instrumentation registered a custom endpoint that deserialized incoming data without applying serialization filters. On JDK version 16 and earlier, an attacker with network access to a JMX or RMI port on an instrumented JVM could exploit this to potentially achieve remote code execution. All three of the following conditions must be true to exploit this vulnerability: First, OpenTelemetry Java instrumentation is attached as a Java agent (`-javaagent`) on Java 16 or earlier. Second, JMX/RMI port has been explicitly configured via `-Dcom.sun.management.jmxremote.port` and is network-reachable. Third, gadget-chain-compatible library is present on the classpath. This results in arbitrary remote code execution with the privileges of the user running the instrumented JVM. For JDK >= 17, no action is required, but upgrading is strongly encouraged. For JDK < 17, upgrade to version 2.26.1 or later. As a workaround, set the system property `-Dotel.instrumentation.rmi.enabled=false` to disable the RMI integration.

Code execution Library Linuxfoundation Opentelemetry Instrumentation For Java

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

On Debian, Ubuntu, and derivative Linux distributions, an on-path attacker who can manipulate the HTTP traffic (including a malicious mirror or proxy) between an APT client and an archive server triggered by a package install can trick the client into installing an attacker-controlled unverified package and achieve remote code execution with root privileges. The vulnerability is caused by the reuse of hard links and requires the client to follow redirects and retry the download of package files. It requires the client to have a non-zero Acquire::Retries configuration setting; the value 3 is the default starting with Debian 12 (bookworm) and Ubuntu 22.04 LTS (Jammy Jellyfish), so older releases are unaffected in a default configuration

Code execution Library

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