Glances is an open-source system cross-platform monitoring tool. From 4.0.8 until 4.5.5, the secure_popen() function in glances/secure.py interprets > (file redirection), | (pipe), and && (command chaining) operators in command strings. These operators are applied without any validation on the target file path, piped command, or chained command. When Application Monitoring Process (AMP) modules load their command or service_cmd configuration values from glances.conf, those values are passed directly to secure_popen() with no sanitization. This allows an attacker who can modify the Glances configuration file to write arbitrary content to arbitrary filesystem paths (via >), chain arbitrary commands (via &&), or pipe command output to arbitrary programs (via |). This vulnerability is fixed in 4.5.5.

Glances is an open-source system cross-platform monitoring tool. Prior to 4.5.5, the Glances KVM/QEMU monitoring engine (glances/plugins/vms/engines/virsh.py) passes VM domain names, read directly from virsh list --all output, into f-string command templates that are processed by secure_popen(). secure_popen() is explicitly designed to interpret &&, |, and > as shell operators. Because domain names are never sanitised before interpolation, any user with the ability to create or rename a KVM/QEMU virtual machine can execute arbitrary commands as the OS user running Glances — commonly root on hypervisor hosts. This vulnerability is fixed in 4.5.5.

Glances is an open-source system cross-platform monitoring tool. Prior to version 4.5.3, Glances supports dynamic configuration values in which substrings enclosed in backticks are executed as system commands during configuration parsing. This behavior occurs in Config.get_value() and is implemented without validation or restriction of the executed commands. If an attacker can modify or influence configuration files, arbitrary commands will execute automatically with the privileges of the Glances process during startup or configuration reload. In deployments where Glances runs with elevated privileges (e.g., as a system service), this may lead to privilege escalation. This issue has been patched in version 4.5.3.

Greenshot is an open source Windows screenshot utility. Greenshot 1.3.300 and earlier deserializes attacker-controlled data received in a WM_COPYDATA message using BinaryFormatter.Deserialize without prior validation or authentication, allowing a local process at the same integrity level to trigger arbitrary code execution inside the Greenshot process. The vulnerable logic resides in a WinForms WndProc handler for WM_COPYDATA (message 74) that copies the supplied bytes into a MemoryStream and invokes BinaryFormatter.Deserialize, and only afterward checks whether the specified channel is authorized. Because the authorization check occurs after deserialization, any gadget chain embedded in the serialized payload executes regardless of channel membership. A local attacker who can send WM_COPYDATA to the Greenshot main window can achieve in-process code execution, which may aid evasion of application control policies by running payloads within the trusted, signed Greenshot.exe process. This issue is fixed in version 1.3.301. No known workarounds exist.

This vulnerability allows local attackers to escalate privileges on affected installations of SolarWinds Patch Manager 2020.2.1. An attacker must first obtain the ability to execute low-privileged code on the target system in order to exploit this vulnerability. The specific flaw exists within the DataGridService WCF service. 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 escalate privileges and execute arbitrary code in the context of Administrator. Was ZDI-CAN-12009.

Insecure deserialization in Ivanti Endpoint Manager before version 2024 SU4 allows a local authenticated attacker to escalate their privileges.

In JetBrains IntelliJ IDEA before 2020.3, potentially insecure deserialization of the workspace model could lead to local code execution.

An undocumented and unsafe feature in the PLY (Python Lex-Yacc) library 3.11 allows Remote Code Execution (RCE) via the `picklefile` parameter in the `yacc()` function. This parameter accepts a `.pkl` file that is deserialized with `pickle.load()` without validation. Because `pickle` allows execution of embedded code via `__reduce__()`, an attacker can achieve code execution by passing a malicious pickle file. The parameter is not mentioned in official documentation or the GitHub repository, yet it is active in the PyPI version. This introduces a stealthy backdoor and persistence risk. NOTE: A third-party states that this vulnerability should be rejected because the proof of concept does not demonstrate arbitrary code execution and fails to complete successfully.

Samsung Update 3.0.2.0 ~ 3.0.32.0 has a vulnerability that allows privilege escalation as commands crafted by attacker are executed while the engine deserializes the data received during inter-process communication

A vulnerability was found in erdogant pypickle up to 1.1.5 and classified as problematic. Affected by this issue is the function load of the file pypickle/pypickle.py. The manipulation leads to deserialization. Local access is required to approach this attack. The exploit has been disclosed to the public and may be used. Upgrading to version 2.0.0 is able to address this issue. The patch is identified as 14b4cae704a0bb4eb6723e238f25382d847a1917. It is recommended to upgrade the affected component.

A vulnerability has been found in HumanSignal label-studio-ml-backend up to 9fb7f4aa186612806af2becfb621f6ed8d9fdbaf and classified as problematic. Affected by this vulnerability is the function load of the file label-studio-ml-backend/label_studio_ml/examples/yolo/utils/neural_nets.py of the component PT File Handler. The manipulation of the argument path leads to deserialization. An attack has to be approached locally. This product takes the approach of rolling releases to provide continious delivery. Therefore, version details for affected and updated releases are not available.

In Spring for Apache Kafka 3.0.9 and earlier and versions 2.9.10 and earlier, a possible deserialization attack vector existed, but only if unusual configuration was applied. An attacker would have to construct a malicious serialized object in one of the deserialization exception record headers. Specifically, an application is vulnerable when all of the following are true: * The user does not configure an ErrorHandlingDeserializer for the key and/or value of the record * The user explicitly sets container properties checkDeserExWhenKeyNull and/or checkDeserExWhenValueNull container properties to true. * The user allows untrusted sources to publish to a Kafka topic By default, these properties are false, and the container only attempts to deserialize the headers if an ErrorHandlingDeserializer is configured. The ErrorHandlingDeserializer prevents the vulnerability by removing any such malicious headers before processing the record.

CWE‑502: Deserialization of Untrusted Data vulnerability exists that could cause arbitrary code execution with administrative privileges when a locally authenticated attacker sends a crafted data stream, triggering unsafe deserialization.

In assertSafeToStartCustomActivity of AppRestrictionsFragment.java , there is a possible way to exploit a parcel mismatch resulting in a launch anywhere vulnerability due to unsafe deserialization. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation.

Deserialization of untrusted data in Microsoft Exchange Server allows an authorized attacker to elevate privileges locally.

Deserialization of untrusted data in Windows Wireless Wide Area Network Service allows an authorized attacker to elevate privileges locally.

Deserialization of untrusted data (CWE-502) in pgAdmin 4 FileBackedSessionManager. The session manager performed unsafe deserialization of session-file contents (using Python's standard object-serialization module) before performing any HMAC integrity check. Any file dropped into the sessions directory was deserialized unconditionally. An authenticated user with write access to the sessions directory (whether by misconfiguration or in combination with another path-traversal flaw) could plant a crafted serialized payload to achieve operating-system level remote code execution under the pgAdmin process identity. Fix prepends a 64-byte hex SHA-256 HMAC over the session body, computed with SECRET_KEY, and verifies it via hmac.compare_digest before any deserialization. The check is raised (rather than asserted) on empty SECRET_KEY so it is not stripped under -O. This issue affects pgAdmin 4: before 9.15.

NVIDIA Megatron-LM contains a vulnerability in the hybrid conversion script where an Attacker may cause an RCE by convincing a user to load a maliciously crafted file. A successful exploit of this vulnerability may lead to code execution, escalation of privileges, information disclosure, and data tampering.

A vulnerability was identified in PyTorch 2.10.0. The affected element is an unknown function of the component pt2 Loading Handler. The manipulation leads to deserialization. The attack can only be performed from a local environment. The exploit is publicly available and might be used. The project was informed of the problem early through a pull request but has not reacted yet.

NVIDIA NeMo Framework contains a vulnerability where an attacker could cause remote code execution by loading a maliciously crafted file. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, information disclosure, and data tampering.

A flaw was found in the fabric8-maven-plugin 4.0.0 and later. When using a wildfly-swarm or thorntail custom configuration, a malicious YAML configuration file on the local machine executing the maven plug-in could allow for deserialization of untrusted data resulting in arbitrary code execution. The highest threat from this vulnerability is to data confidentiality and integrity as well as system availability.

The Performance Library component of Gigabyte Control Center has an Insecure Deserialization vulnerability. Authenticated local attackers can send a malicious serialized payload to the EasyTune Engine service, resulting in privilege escalation.

NVIDIA NeMo Framework contains a vulnerability where an attacker could cause remote code execution. A successful exploit of this vulnerability might lead to code execution, denial of service, information disclosure, and data tampering.

NVIDIA Megatron LM contains a vulnerability in quantization configuration loading, which could allow remote code execution. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, information disclosure, and data tampering.

NVIDIA NeMo Framework for all platforms contains a vulnerability where malicious data created by an attacker may cause a code injection. A successful exploit of this vulnerability may lead to code execution, escalation of privileges, information disclosure, and data tampering.

NVIDIA NeMo Framework contains a vulnerability where an attacker could cause remote code execution by convincing a user to load a maliciously crafted file. A successful exploit of this vulnerability might lead to code execution, denial of service, information disclosure, and data tampering.

NVIDIA TensorRT-LLM contains a vulnerability in its inter-process communication layer where an attacker with local same-user access could cause deserialization. A successful exploit of this vulnerability might lead to code execution, information disclosure, data tampering, and denial of service.

NVIDIA NeMo Framework contains a vulnerability where an attacker could cause remote code execution in distributed environments. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, information disclosure, and data tampering.

Deserialization of untrusted data in Microsoft High Performance Compute Pack (HPC) allows an authorized attacker to elevate privileges locally.

An issue in ESA AnomalyMatch before 1.3.1 allow attackers to execute arbitrary code via crafted model checkpoint files. The affected components load model files from session directories using torch.load() with unrestricted deserialization.

In createIntentsList of PackageParser.java , there is a possible way to bypass lazy bundle hardening, allowing modified data to be passed to the next process due to unsafe deserialization. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation.

A vulnerability in unit_deserialize of systemd allows an attacker to supply arbitrary state across systemd re-execution via NotifyAccess. This can be used to improperly influence systemd execution and possibly lead to root privilege escalation. Affected releases are systemd versions up to and including 239.

Avira Internet Security contains a deserialization of untrusted data vulnerability in the System Speedup component. The Avira.SystemSpeedup.RealTimeOptimizer.exe process, which runs with SYSTEM privileges, deserializes data from a file located in C:\\ProgramData using .NET BinaryFormatter without implementing input validation or deserialization safeguards. Because the file can be created or modified by a local user in default configurations, an attacker can supply a crafted serialized payload that is deserialized by the privileged process, resulting in arbitrary code execution as SYSTEM.

Windows Server Update Service (WSUS) Elevation of Privilege Vulnerability

The Camel-PQC FileBasedKeyLifecycleManager class deserializes the contents of `<keyId>.key` files in the configured key directory using java.io.ObjectInputStream without applying any ObjectInputFilter or class-loading restrictions. The cast to `java.security.KeyPair` is evaluated only after `readObject()` has already returned, so any `readObject()` side effects in the deserialized object run before the type check. An attacker who can write to the key directory used by a Camel application — for example through a path traversal into the directory, misconfigured filesystem permissions on the volume where keys are stored, a compromised key provisioning pipeline, or a symlink attack — can place a crafted serialized Java object that, when deserialized during normal key lifecycle operations, results in arbitrary code execution in the context of the application. This issue affects Apache Camel: from 4.19.0 before 4.20.0, from 4.18.0 before 4.18.2. Users are recommended to upgrade to version 4.20.0, which fixes the issue by replacing java.io.ObjectInputStream-based key and metadata storage with standard PKCS#8 (private key) / X.509 SubjectPublicKeyInfo (public key) Base64 JSON encoding. For users on the 4.18.x LTS releases stream, upgrade to 4.18.2.

Improper Privilege Control in RazerCentralSerivce Named Pipe in Razer RazerCentral <=7.11.0.558 on Windows allows a malicious actor with local access to gain SYSTEM privilege via communicating with the named pipe as a low-privilege user and triggering an insecure .NET deserialization.

In checkKeyIntentParceledCorrectly of AccountManagerService.java, there is a possible way to control other running activities due to unsafe deserialization. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation.

PHPUnit is a testing framework for PHP. A vulnerability has been discovered in versions prior to 12.5.8, 11.5.50, 10.5.62, 9.6.33, and 8.5.52 involving unsafe deserialization of code coverage data in PHPT test execution. The vulnerability exists in the `cleanupForCoverage()` method, which deserializes code coverage files without validation, potentially allowing remote code execution if malicious `.coverage` files are present prior to the execution of the PHPT test. The vulnerability occurs when a `.coverage` file, which should not exist before test execution, is deserialized without the `allowed_classes` parameter restriction. An attacker with local file write access can place a malicious serialized object with a `__wakeup()` method into the file system, leading to arbitrary code execution during test runs with code coverage instrumentation enabled. This vulnerability requires local file write access to the location where PHPUnit stores or expects code coverage files for PHPT tests. This can occur through CI/CD pipeline attacks, the local development environment, and/or compromised dependencies. Rather than just silently sanitizing the input via `['allowed_classes' => false]`, the maintainer has chosen to make the anomalous state explicit by treating pre-existing `.coverage` files for PHPT tests as an error condition. Starting in versions in versions 12.5.8, 11.5.50, 10.5.62, 9.6.33, when a `.coverage` file is detected for a PHPT test prior to execution, PHPUnit will emit a clear error message identifying the anomalous state. Organizations can reduce the effective risk of this vulnerability through proper CI/CD configuration, including ephemeral runners, code review enforcement, branch protection, artifact isolation, and access control.

Deserialization of Untrusted Data vulnerability in Apache Camel LevelDB component. The Camel-LevelDB DefaultLevelDBSerializer class deserializes data read from the LevelDB aggregation repository using java.io.ObjectInputStream without applying any ObjectInputFilter or class-loading restrictions. An attacker who can write to the LevelDB database files used by a Camel application can inject a crafted serialized Java object that, when deserialized during normal aggregation repository operations, results in arbitrary code execution in the context of the application. This issue affects Apache Camel: from 4.10.0 before 4.10.8, from 4.14.0 before 4.14.5, from 4.15.0 before 4.18.0. Users are recommended to upgrade to version 4.18.0, which fixes the issue. For the 4.10.x LTS releases, users are recommended to upgrade to 4.10.9, while for 4.14.x LTS releases, users are recommended to upgrade to 4.14.5

Deserialization of untrusted data in Windows System Image Manager allows an authorized attacker to execute code locally.

Unsafe usage of .NET deserialization in Named Pipe message processing allows privilege escalation to NT AUTHORITY\SYSTEM for a local attacker. Affected product is TinyWall, all versions up to and including 2.1.12. Fixed in version 2.1.13.

Seagull Software BarTender 2021 R1 through 12.0.1 contains an insecure deserialization vulnerability that allows low-privileged local users to escalate privileges. The DataServiceSingleton .NET Remoting endpoint is bound to localhost on TCP port 7375 via BtSystem.Service.exe, limiting the attack surface to local access only. The endpoint is configured with BinaryServerFormatterSinkProvider and TypeFilterLevel set to Full. A low-privileged local attacker can send YSoSerial.NET-generated BinaryFormatter payloads to the localhost-bound endpoint to achieve code execution as NT AUTHORITY\\SYSTEM.

NVIDIA NeMo Framework contains a vulnerability in checkpoint loading where an attacker could cause remote code execution. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, information disclosure and data tampering.

The communication protocol used between the server process and the service control had a flaw that could lead to a local privilege escalation.

NVIDIA Megatron-LM contains a vulnerability in checkpoint loading where an Attacker may cause an RCE by convincing a user to load a maliciously crafted file. A successful exploit of this vulnerability may lead to code execution, escalation of privileges, information disclosure, and data tampering.

NVIDIA Megatron-LM contains a vulnerability in checkpoint loading where an Attacker may cause an RCE by convincing a user to load a maliciously crafted file. A successful exploit of this vulnerability may lead to code execution, escalation of privileges, information disclosure, and data tampering.

NVIDIA NVTabular contains a vulnerability where an attacker could cause improper deserialization of untrusted data. A successful exploit of this vulnerability might lead to code execution, data tampering, and information disclosure.

NVIDIA NeMo Framework for Linux contains a vulnerability where an attacker may cause deserialization of untrusted data. A successful exploit of this vulnerability may lead to code execution, escalation of privileges, data tampering, and information disclosure.

NVIDIA Megatron Bridge for Linux contains a vulnerability where an attacker could cause improper validation of allowed inputs. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, data tampering, and information disclosure.

NVIDIA Megatron-LM contains a vulnerability in inferencing where an Attacker may cause an RCE by convincing a user to load a maliciously crafted input. A successful exploit of this vulnerability may lead to code execution, escalation of privileges, information disclosure, and data tampering.