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.

Fickling is a Python pickling decompiler and static analyzer. Fickling versions up to and including 0.1.6 do not treat Python’s runpy module as unsafe. Because of this, a malicious pickle that uses runpy.run_path() or runpy.run_module() is classified as SUSPICIOUS instead of OVERTLY_MALICIOUS. If a user relies on Fickling’s output to decide whether a pickle is safe to deserialize, this misclassification can lead them to execute attacker-controlled code on their system. This affects any workflow or product that uses Fickling as a security gate for pickle deserialization. This issue has been patched in version 0.1.7.

Fickling is a Python pickling decompiler and static analyzer. Fickling versions up to and including 0.1.6 do not treat Python's cProfile module as unsafe. Because of this, a malicious pickle that uses cProfile.run() is classified as SUSPICIOUS instead of OVERTLY_MALICIOUS. If a user relies on Fickling's output to decide whether a pickle is safe to deserialize, this misclassification can lead them to execute attacker-controlled code on their system. This affects any workflow or product that uses Fickling as a security gate for pickle deserialization. This issue has been patched in version 0.1.7.

Fickling is a Python pickling decompiler and static analyzer. Prior to version 0.1.7, the unsafe_imports() method in Fickling's static analyzer fails to flag several high-risk Python modules that can be used for arbitrary code execution. Malicious pickles importing these modules will not be detected as unsafe, allowing attackers to bypass Fickling's primary static safety checks. This issue has been patched in version 0.1.7.

Fickling is a Python pickling decompiler and static analyzer. Prior to version 0.1.7, Fickling is vulnerable to detection bypass due to "builtins" blindness. This issue has been patched in version 0.1.7.

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.

Trail of Bits fickling versions up to and including 0.1.10 do not include the Python standard library modules _posixsubprocess, site, and atexit in the UNSAFE_IMPORTS denylist (fickle.py). Because these modules are absent from the denylist, fickling's check_safety() function returns LIKELY_SAFE with zero findings for pickle payloads that invoke dangerous functions including _posixsubprocess.fork_exec (C-level process spawner capable of executing arbitrary binaries), site.execsitecustomize (executes arbitrary site customization code), and atexit._run_exitfuncs (triggers all registered exit handler callbacks). The fickling.load() API chains check_safety() into pickle.loads() as an explicit security gate; a LIKELY_SAFE verdict causes the payload to be deserialized and executed. This shares the same root cause as CVE-2026-22607 (cProfile), CVE-2025-67748 (pty), and CVE-2025-67747 (marshal/types). OvertlyBadEvals does not flag these modules because they are standard library imports. UnsafeImports does not flag them because they are not in the denylist. The UnusedVariables heuristic is defeated by the SETITEMS opcode pattern.

ToolboxST prior to version 7.10 is affected by a deserialization vulnerability. An attacker with local access to an HMI or who has conducted a social engineering attack on an authorized operator could execute code in a Toolbox user's context through the deserialization of an untrusted configuration file. Two CVSS scores have been provided to capture the differences between the two aforementioned attack vectors.  Customers are advised to update to ToolboxST 7.10 which can be found in ControlST 7.10. If unable to update at this time customers should ensure they are following the guidance laid out in GE Gas Power's Secure Deployment Guide (GEH-6839). Customers should ensure they are not running ToolboxST as an Administrative user. 

The LabOne Q serialization framework uses a class-loading mechanism (import_cls) to dynamically import and instantiate Python classes during deserialization. Prior to the fix, this mechanism accepted arbitrary fully-qualified class names from the serialized data without any validation of the target class or restriction on which modules could be imported. An attacker can craft a serialized experiment file that causes the deserialization engine to import and instantiate arbitrary Python classes with attacker-controlled constructor arguments, resulting in arbitrary code execution in the context of the user running the Python process. Exploitation requires the victim to load a malicious file using LabOne Q's deserialization functions, for example a compromised experiment file shared for collaboration or support purposes.

Microsoft Excel Security Feature Bypass Vulnerability

A vulnerability in the file opening process of Cisco Unified Contact Center Express (Unified CCX) Editor could allow an unauthenticated attacker to execute arbitrary code on an affected device.  This vulnerability is due to insecure deserialization of Java objects by the affected software. An attacker could exploit this vulnerability by persuading an authenticated, local user to open a crafted .aef file. A successful exploit could allow the attacker to execute arbitrary code on the host that is running the editor application with the privileges of the user who launched it.

Deseriliazation of untrusted data can occur in versions 3.7.0 or newer of Ydata's ydata-profiling open-source library, enabling a maliciously crafted dataset to run arbitrary code on an end user's system when loaded.

mintinstall (aka Software Manager) 7.9.9 for Linux Mint allows code execution if a REVIEWS_CACHE file is controlled by an attacker, because an unpickle occurs. This is resolved in 8.0.0 and backports.

This vulnerability allows remote attackers to execute arbitrary code on affected installations of Inductive Automation Ignition 8.1.15 (b2022030114). Although authentication is required to exploit this vulnerability, the existing authentication mechanism can be bypassed. The specific flaw exists within com.inductiveautomation.metro.impl. 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 SYSTEM. Was ZDI-CAN-17265.

CircuitVerse is an open-source platform which allows users to construct digital logic circuits online. A remote code execution (RCE) vulnerability in CircuitVerse allows authenticated attackers to execute arbitrary code via specially crafted JSON payloads. This issue may lead to Remote Code Execution (RCE). A patch is available in commit number 7b3023a99499a7675f10f2c1d9effdf10c35fb6e. There are currently no known workarounds.

This vulnerability allows remote attackers to execute arbitrary code on affected installations of Inductive Automation Ignition 8.1.15 (b2022030114). 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 ZIP 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 SYSTEM. Was ZDI-CAN-17115.

In Progress Telerik UI for WPF versions prior to 2024 Q3 (2024.3.924), a code execution attack is possible through an insecure deserialization vulnerability.

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, and Mitsubishi Electric MC Works64 versions 4.04E and prior allows an unauthenticated attacker to execute an arbitrary malicious code by leading a user to load a monitoring screen file including malicious XAML codes.

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, and Mitsubishi Electric MC Works64 versions 4.04E and prior allows an unauthenticated attacker to execute an arbitrary malicious code by leading a user to load a project configuration file including malicious XML codes.

A vulnerability in the FAISS.deserialize_from_bytes function of langchain-ai/langchain allows for pickle deserialization of untrusted data. This can lead to the execution of arbitrary commands via the os.system function. The issue affects the latest version of the product.

NVIDIA BioNemo for Linux contains a vulnerability where a user could cause a deserialization of untrusted data. A successful exploit of this vulnerability might lead to code execution, denial of service, information disclosure, and data tampering.

This vulnerability allows remote attackers to execute arbitrary code on affected installations of AVEVA Edge 2020 SP2 Patch 0(4201.2111.1802.0000). 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 APP 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-17212.

A deserialization vulnerability in a .NET framework class used and not properly checked by Flexi Soft Designer in all versions up to and including 1.9.4 SP1 allows an attacker to craft malicious project files. Opening/importing such a malicious project file would execute arbitrary code with the privileges of the current user when opened or imported by the Flexi Soft Designer. This compromises confidentiality integrity and availability. For the attack to succeed a user must manually open a malicious project file.

A vulnerability has been identified in SIMATIC S7-PLCSIM V16 (All versions), SIMATIC S7-PLCSIM V17 (All versions), SIMATIC STEP 7 Safety V16 (All versions), SIMATIC STEP 7 Safety V17 (All versions < V17 Update 9), SIMATIC STEP 7 Safety V18 (All versions), SIMATIC STEP 7 Safety V19 (All versions < V19 Update 4), SIMATIC STEP 7 V16 (All versions), SIMATIC STEP 7 V17 (All versions < V17 Update 9), SIMATIC STEP 7 V18 (All versions), SIMATIC STEP 7 V19 (All versions < V19 Update 4), SIMATIC WinCC Unified V16 (All versions), SIMATIC WinCC Unified V17 (All versions < V17 Update 9), SIMATIC WinCC Unified V18 (All versions), SIMATIC WinCC Unified V19 (All versions < V19 Update 4), SIMATIC WinCC V16 (All versions), SIMATIC WinCC V17 (All versions < V17 Update 9), SIMATIC WinCC V18 (All versions), SIMATIC WinCC V19 (All versions < V19 Update 4), SIMOCODE ES V16 (All versions), SIMOCODE ES V17 (All versions), SIMOCODE ES V18 (All versions), SIMOCODE ES V19 (All versions), SIMOTION SCOUT TIA V5.4 (All versions), SIMOTION SCOUT TIA V5.5 (All versions), SIMOTION SCOUT TIA V5.6 (All versions < V5.6 SP1 HF7), SINAMICS Startdrive V16 (All versions), SINAMICS Startdrive V17 (All versions), SINAMICS Startdrive V18 (All versions), SINAMICS Startdrive V19 (All versions), SIRIUS Safety ES V17 (TIA Portal) (All versions), SIRIUS Safety ES V18 (TIA Portal) (All versions), SIRIUS Safety ES V19 (TIA Portal) (All versions), SIRIUS Soft Starter ES V17 (TIA Portal) (All versions), SIRIUS Soft Starter ES V18 (TIA Portal) (All versions), SIRIUS Soft Starter ES V19 (TIA Portal) (All versions), TIA Portal Cloud V16 (All versions), TIA Portal Cloud V17 (All versions), TIA Portal Cloud V18 (All versions), TIA Portal Cloud V19 (All versions < V5.2.1.1). Affected products do not properly sanitize user-controllable input when parsing log files. This could allow an attacker to cause a type confusion and execute arbitrary code within the affected application.

A deserialization vulnerability in a .NET framework class used and not properly checked by Safety Designer all versions up to and including 1.11.0 allows an attacker to craft malicious project files. Opening/importing such a malicious project file would execute arbitrary code with the privileges of the current user when opened or imported by the Safety Designer. This compromises confidentiality integrity and availability. For the attack to succeed a user must manually open a malicious project file.

This vulnerability allows remote attackers to execute arbitrary code on affected installations of OPC Labs QuickOPC 2022.1. 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 processing of XML files in Connectivity Explorer. 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-16596.

Deserialization of untrusted data can occur in versions 2.4.0 or newer of the Cleanlab project, enabling a maliciously crafted datalab.pkl file to run arbitrary code on an end user’s system when the data directory is loaded.

Rockwell Automation ISaGRAF Workbench software versions 6.0 through 6.6.9 are affected by a Deserialization of Untrusted Data vulnerability. ISaGRAF Workbench does not limit the objects that can be deserialized. This vulnerability allows attackers to craft a malicious serialized object that, if opened by a local user in ISaGRAF Workbench, may result in remote code execution. This vulnerability requires user interaction to be successfully exploited.

In onReceive of AppRestrictionsFragment.java, there is a possible escalation of privilege due to unsafe deserialization. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is needed for exploitation.

In Progress® Telerik® Reporting versions prior to 2024 Q2 (18.1.24.2.514), a code execution attack is possible by a local threat actor through an insecure deserialization vulnerability.

A YAML deserialization vulnerability was found in the Robot Operating System (ROS) 'dynparam', a command-line tool for getting, setting, and deleting parameters of a dynamically configurable node, affecting ROS distributions Noetic and earlier. The issue is caused by the use of the yaml.load() function in the 'set' and 'get' verbs, and allows for the creation of arbitrary Python objects. Through this flaw, a local or remote user can craft and execute arbitrary Python code.

Deserialization of untrusted data can occur in versions 3.7.0 or newer of Ydata's ydata-profiling open-source library, enabling a malicously crafted report to run arbitrary code on an end user's system when loaded.

Deserialization of untrusted data can occur in versions 0.6 or newer of the skops python library, enabling a maliciously crafted model to run arbitrary code on an end user's system when loaded.

sagemaker-python-sdk is a library for training and deploying machine learning models on Amazon SageMaker. The sagemaker.base_deserializers.NumpyDeserializer module before v2.218.0 allows potentially unsafe deserialization when untrusted data is passed as pickled object arrays. This consequently may allow an unprivileged third party to cause remote code execution, denial of service, affecting both confidentiality and integrity. Users are advised to upgrade to version 2.218.0. Users unable to upgrade should not pass pickled numpy object arrays which originated from an untrusted source, or that could have been tampered with. Only pass pickled numpy object arrays from trusted sources.

There is a vulnerability in AVEVA PI Asset Framework Client that could allow malicious code to execute on the PI System Explorer environment under the privileges of an interactive user that was socially engineered to import XML supplied by an attacker.

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, and Mitsubishi Electric MC Works64 versions 4.04E and prior allows an unauthenticated attacker to execute an arbitrary malicious code by leading a user to load a monitoring screen file including malicious XAML codes.

Microsoft Excel Remote Code Execution Vulnerability

Dell Common Event Enabler, version 8.9.10.0 and prior, contain an insecure deserialization vulnerability in CAVATools. A local unauthenticated attacker could potentially exploit this vulnerability, leading to arbitrary code execution in the context of the logged in user. Exploitation of this issue requires a victim to open a malicious file.

A vulnerability has been identified in LOGO! Soft Comfort (All versions < V8.3). The vulnerability could allow an attacker to execute arbitrary code if the attacker tricks a legitimate user to open a manipulated project. In order to exploit the vulnerability, a valid user must open a manipulated project file. No further privileges are required on the target system. The vulnerability could compromise the confidentiality, integrity and availability of the engineering station. At the time of advisory publication no public exploitation of this security vulnerability was known.

Retrieval-based-Voice-Conversion-WebUI is a voice changing framework based on VITS. Versions 2.2.231006 and prior are vulnerable to unsafe deserialization. The ckpt_path2 variable takes user input (e.g. a path to a model) and passes it to the extract_small_model function in process_ckpt.py, which uses it to load the model on that path with torch.load, which can lead to unsafe deserialization and remote code execution. As of time of publication, no known patches exist.

Retrieval-based-Voice-Conversion-WebUI is a voice changing framework based on VITS. Versions 2.2.231006 and prior are vulnerable to unsafe deserialization. The model_choose variable takes user input (e.g. a path to a model) and passes it to the uvr function in vr.py. In uvr , if model_name contains the string "DeEcho", a new instance of AudioPreDeEcho class is created with the model_path attribute containing the aforementioned user input. In the AudioPreDeEcho class, the user input is used to load the model on that path with torch.load, which can lead to unsafe deserialization and remote code execution. As of time of publication, no known patches exist.

CWE-502: Deserialization of Untrusted Data vulnerability exists that could cause remote code execution when a malicious project file is loaded into the application by a valid user.

Deserialization of Untrusted Data vulnerability in Apache Camel SQL ComponentThis issue affects Apache Camel: from 3.0.0 before 3.21.4, from 3.22.0 before 3.22.1, from 4.0.0 before 4.0.4, from 4.1.0 before 4.4.0. Users are recommended to upgrade to version 4.4.0, which fixes the issue. If users are on the 4.0.x LTS releases stream, then they are suggested to upgrade to 4.0.4. If users are on 3.x, they are suggested to move to 3.21.4 or 3.22.1

A vulnerability has been identified in SIMATIC S7-PLCSIM V17 (All versions), SIMATIC STEP 7 V17 (All versions < V17 Update 9), SIMATIC STEP 7 V18 (All versions), SIMATIC STEP 7 V19 (All versions < V19 Update 4), SIMATIC STEP 7 V20 (All versions < V20 Update 4), SIMATIC WinCC V17 (All versions < V17 Update 9), SIMATIC WinCC V18 (All versions), SIMATIC WinCC V19 (All versions < V19 Update 4), SIMATIC WinCC V20 (All versions < V20 Update 4), SIMOCODE ES V17 (All versions), SIMOCODE ES V18 (All versions), SIMOCODE ES V19 (All versions), SIMOCODE ES V20 (All versions), SIMOTION SCOUT TIA V5.4 (All versions), SIMOTION SCOUT TIA V5.5 (All versions), SIMOTION SCOUT TIA V5.6 (All versions < V5.6 SP1 HF7), SIMOTION SCOUT TIA V5.7 (All versions), SINAMICS Startdrive V17 (All versions), SINAMICS Startdrive V18 (All versions), SINAMICS Startdrive V19 (All versions), SINAMICS Startdrive V20 (All versions), SIRIUS Safety ES V17 (TIA Portal) (All versions), SIRIUS Safety ES V18 (TIA Portal) (All versions), SIRIUS Safety ES V19 (TIA Portal) (All versions), SIRIUS Safety ES V20 (TIA Portal) (All versions), SIRIUS Soft Starter ES V17 (TIA Portal) (All versions), SIRIUS Soft Starter ES V18 (TIA Portal) (All versions), SIRIUS Soft Starter ES V19 (TIA Portal) (All versions), SIRIUS Soft Starter ES V20 (TIA Portal) (All versions), TIA Portal Cloud V17 (All versions), TIA Portal Cloud V18 (All versions), TIA Portal Cloud V19 (All versions < V5.2.1.1), TIA Portal Cloud V20 (All versions < V5.2.2.2). Affected products do not properly sanitize stored security properties when parsing project files. This could allow an attacker to cause a type confusion and execute arbitrary code within the affected application.

LlamaIndex (run-llama/llama_index) versions up to and including 0.11.6 contain an unsafe deserialization vulnerability in BGEM3Index.load_from_disk() in llama_index/indices/managed/bge_m3/base.py. The function uses pickle.load() to deserialize multi_embed_store.pkl from a user-supplied persist_dir without validation. An attacker who can provide a crafted persist directory containing a malicious pickle file can trigger arbitrary code execution when the victim loads the index from disk.

A deserialization of untrusted data vulnerability exists in NI DAQExpress that may result in remote code execution. Successful exploitation requires an attacker to get a user to open a specially crafted project file. This vulnerability affects DAQExpress 5.1 and prior versions.  Please note that DAQExpress is an EOL product and will not receive any updates.

Delta Electronics DTM Soft deserializes objects, which could allow an attacker to execute arbitrary code.

Deserialization of untrusted data in Ivanti EPM before the 2024 January-2025 Security Update and 2022 SU6 January-2025 Security Update allows a remote unauthenticated attacker to achieve remote code execution. Local user interaction is required.

CWE-502: Deserialization of untrusted data vulnerability exists that could lead to loss of confidentiality, integrity and potential remote code execution on workstation when a non-admin authenticated user opens a malicious project file.

A deserialization of untrusted data vulnerability exists in NI G Web Development Software that may result in arbitrary code execution.  Successful exploitation requires an attacker to get a user to open a specially crafted project file.  This vulnerability affects G Web Development Software 2022 Q3 and prior versions.