mrdoc is vulnerable to Deserialization of Untrusted Data

pytorch-lightning is vulnerable to Deserialization of Untrusted Data

Microsoft Exchange Server Remote Code Execution Vulnerability

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.

A CWE-502: Deserialization of Untrusted Data vulnerability exists that could cause code execution by opening a malicious project file.

An unsafe deserialization vulnerability exists in the ObjectManager.plugin ObjectStream.ProfileByteArray functionality of CODESYS GmbH CODESYS Development System 3.5.16 and 3.5.17. A specially crafted file can lead to arbitrary command execution. An attacker can provide a malicious file to trigger this vulnerability.

An unsafe deserialization vulnerability exists in the Engine.plugin ProfileInformation ProfileData functionality of CODESYS GmbH CODESYS Development System 3.5.16 and 3.5.17. A specially crafted file can lead to arbitrary command execution. An attacker can provide a malicious file to trigger this vulnerability.

An unsafe deserialization vulnerability exists in the ObjectManager.plugin Project.get_MissingTypes() functionality of CODESYS GmbH CODESYS Development System 3.5.16 and 3.5.17. A specially crafted file can lead to arbitrary command execution. An attacker can provide a malicious file to trigger this vulnerability.

A unsafe deserialization vulnerability exists in the ObjectManager.plugin ProfileInformation.ProfileData functionality of CODESYS GmbH CODESYS Development System 3.5.16 and 3.5.17. A specially crafted file can lead to arbitrary command execution. An attacker can provide a malicious file to trigger this vulnerability.

A unsafe deserialization vulnerability exists in the ComponentModel Profile.FromFile() functionality of CODESYS GmbH CODESYS Development System 3.5.16 and 3.5.17. A specially crafted file can lead to arbitrary command execution. An attacker can provide a malicious file to trigger this vulnerability.

A php unserialize vulnerability exists in the Ai-Bolit functionality of CloudLinux Inc Imunify360 5.10.2. A specially-crafted malformed file can lead to potential arbitrary command execution. An attacker can provide a malicious file to trigger this vulnerability.

A unsafe deserialization vulnerability exists in the PackageManagement.plugin ExtensionMethods.Clone() functionality of CODESYS GmbH CODESYS Development System 3.5.16. A specially crafted file can lead to arbitrary command execution. An attacker can provide a malicious file to trigger this vulnerability.

A unsafe deserialization vulnerability exists in the ComponentModel ComponentManager.StartupCultureSettings functionality of CODESYS GmbH CODESYS Development System 3.5.16 and 3.5.17. A specially crafted file can lead to arbitrary command execution. An attacker can provide a malicious file to trigger this vulnerability.

PowerDocu contains a Windows GUI executable to perform technical documentations. Prior to 2.4.0, PowerDocu contains a critical security vulnerability in how it parses JSON files within Flow or App packages. The application blindly trusts the $type property in JSON files, allowing an attacker to instantiate arbitrary .NET objects and execute code. This vulnerability is fixed in 2.4.0.

Bio-Formats versions up to and including 8.3.0 perform unsafe Java deserialization of attacker-controlled memoization cache files (.bfmemo) during image processing. The loci.formats.Memoizer class automatically loads and deserializes memo files associated with images without validation, integrity checks, or trust enforcement. An attacker who can supply a crafted .bfmemo file alongside an image can trigger deserialization of untrusted data, which may result in denial of service, logic manipulation, or potentially remote code execution in environments where suitable gadget chains are present on the classpath.

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. 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.

There is a deserialization of untrusted data vulnerability in Digilent DASYLab. This vulnerability may result in arbitrary code execution. Successful exploitation requires an attacker to get a user to open a specially crafted DSB file. The vulnerability affects all versions of DASYLab.

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.

Manuskript through 0.12.0 allows remote attackers to execute arbitrary code via a crafted settings.pickle file in a project file, because there is insecure deserialization via the pickle.load() function in settings.py. NOTE: the vendor's position is that the product is not intended for opening an untrusted project file

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. Versions prior to 0.1.6 are missing `marshal` and `types` from the block list of unsafe module imports. Fickling started blocking both modules to address this issue. This allows an attacker to craft a malicious pickle file that can bypass fickling since it misses detections for `types.FunctionType` and `marshal.loads`. A user who deserializes such a file, believing it to be safe, would inadvertently execute arbitrary code on their system. This impacts any user or system that uses Fickling to vet pickle files for security issues. The issue was fixed in version 0.1.6.

Fickling is a Python pickling decompiler and static analyzer. Prior to version 0.1.7, both ctypes and pydoc modules aren't explicitly blocked. Even other existing pickle scanning tools (like picklescan) do not block pydoc.locate. Chaining these two together can achieve RCE while the scanner still reports the file as LIKELY_SAFE. This issue has been patched in version 0.1.7.

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 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.&nbsp; 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.

Deserialization of Untrusted Data vulnerability in yolo 3 allows attackers to execute arbitrary code via crafted yaml file.

A vulnerability was found in ChurchCRM up to 5.18.0. This vulnerability affects unknown code of the file setup/routes/setup.php. Performing a manipulation of the argument DB_PASSWORD/ROOT_PATH/URL results in deserialization. The attack may be initiated remotely. The attack's complexity is rated as high. It is stated that the exploitability is difficult. 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.

Pdfminer.six is a community maintained fork of the original PDFMiner, a tool for extracting information from PDF documents. Prior to version 20251107, pdfminer.six will execute arbitrary code from a malicious pickle file if provided with a malicious PDF file. The `CMapDB._load_data()` function in pdfminer.six uses `pickle.loads()` to deserialize pickle files. These pickle files are supposed to be part of the pdfminer.six distribution stored in the `cmap/` directory, but a malicious PDF can specify an alternative directory and filename as long as the filename ends in `.pickle.gz`. A malicious, zipped pickle file can then contain code which will automatically execute when the PDF is processed. Version 20251107 fixes the issue.

A safe mode bypass vulnerability in the `Model.load_model` method in Keras versions 3.0.0 through 3.10.0 allows an attacker to achieve arbitrary code execution by convincing a user to load a specially crafted `.keras` model archive.

Fuji Electric FRENIC-Loader 4 is vulnerable to a deserialization of untrusted data when importing a file through a specified window, which may allow an attacker to execute arbitrary code.

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.

A vulnerability has been found in BoyunCMS up to 1.21 on PHP7 and classified as critical. Affected by this vulnerability is an unknown functionality of the file install/install2.php of the component Installation Handler. The manipulation of the argument db_host leads to deserialization. The attack can be launched remotely. The complexity of an attack is rather high. The exploitation appears to be difficult. The exploit has been disclosed to the public and may be used.

A vulnerability has been identified in the OPC.Testclient utility, which is included in Rexroth IndraWorks. All versions prior to 15V24 are affected. This flaw allows an attacker to execute arbitrary code on the user's system by parsing a manipulated file containing malicious serialized data. Exploitation requires user interaction, specifically opening a specially crafted file, which then causes the application to deserialize the malicious data, enabling Remote Code Execution (RCE). This can lead to a complete compromise of the system running the OPC.Testclient.

A vulnerability has been identified in the UA.Testclient utility, which is included in Rexroth IndraWorks. All versions prior to 15V24 are affected. This flaw allows an attacker to execute arbitrary code on the user's system by parsing a manipulated file containing malicious serialized data. Exploitation requires user interaction, specifically opening a specially crafted file, which then causes the application to deserialize the malicious data, enabling Remote Code Execution (RCE). This can lead to a complete compromise of the system running the UA.Testclient.

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.

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 vulnerability has been identified in Rexroth IndraWorks. This flaw allows an attacker to execute arbitrary code on the user's system by parsing a manipulated file containing malicious serialized data. Exploitation requires user interaction, specifically opening a specially crafted file, which then causes the application to deserialize the malicious data, enabling Remote Code Execution (RCE). This can lead to a complete compromise of the system running Rexroth IndraWorks.

A vulnerability has been identified in Rexroth IndraWorks. This flaw allows an attacker to execute arbitrary code on the user's system by parsing a manipulated file containing malicious serialized data. Exploitation requires user interaction, specifically opening a specially crafted file, which then causes the application to deserialize the malicious data, enabling Remote Code Execution (RCE). This can lead to a complete compromise of the system running Rexroth IndraWorks.

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.

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.

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.

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.

A CWE-502: Deserialization of Untrusted Data vulnerability exists in the Dashboard module that could cause an interpretation of malicious payload data, potentially leading to remote code execution when an attacker gets the user to open a malicious file.

Deserialization of untrusted data in Microsoft Office SharePoint allows an unauthorized attacker to execute code locally.

A CWE-502: Deserialization of Untrusted Data vulnerability exists in the Dashboard module that could cause an interpretation of malicious payload data, potentially leading to remote code execution when an attacker gets the user to open a malicious file. Affected Products: IGSS Data Server(IGSSdataServer.exe)(V16.0.0.23040 and prior), IGSS Dashboard(DashBoard.exe)(V16.0.0.23040 and prior), Custom Reports(RMS16.dll)(V16.0.0.23040 and prior).

Delta Electronics DTM Soft Project File Parsing Deserialization of Untrusted Data Remote Code Execution

Microsoft Excel Security Feature Bypass Vulnerability

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.