| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| ADB Explorer is a fluent UI for ADB on Windows. Prior to Beta 0.9.26020, ADB Explorer is vulnerable to Insecure Deserialization leading to Remote Code Execution. The application attempts to deserialize the App.txt settings file using Newtonsoft.Json with TypeNameHandling set to Objects. This allows an attacker to supply a crafted JSON file containing a gadget chain (e.g., ObjectDataProvider) to execute arbitrary code when the application launches and subsequently saves its settings. This vulnerability is fixed in Beta 0.9.26020. |
| 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. |
| TYPO3's mail‑file spool deserialization flaw lets local users with write access to the spool directory craft a malicious file that is deserialized during the mailer:spool:send command, enabling arbitrary PHP code execution on the web server. This issue affects TYPO3 CMS versions 10.0.0-10.4.54, 11.0.0-11.5.48, 12.0.0-12.4.40, 13.0.0-13.4.22 and 14.0.0-14.0.1. |
| seroval facilitates JS value stringification, including complex structures beyond JSON.stringify capabilities. In versions 1.4.0 and below, improper input handling in the JSON deserialization component can lead to arbitrary JavaScript code execution. Exploitation is possible via overriding constant value and error deserialization, allowing indirect access to unsafe JS evaluation. At minimum, attackers need the ability to perform 4 separate requests on the same function, and partial knowledge of how the serialized data is used during later runtime processing. This vulnerability affects the fromJSON and fromCrossJSON functions in a client-to-server transmission scenario. This issue has been fixed in version 1.4.0. |
| Foundation Agents MetaGPT deserialize_message Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Foundation Agents MetaGPT. Authentication is not required to exploit this vulnerability.
The specific flaw exists within the deserialize_message function. 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 service account. Was ZDI-CAN-28121. |
| Due to a Deserialization vulnerability in SAP NetWeaver (JMS service), an attacker authenticated as an administrator with local access could submit specially crafted content to the server. If processed by the application, this content could trigger unintended behavior during internal logic execution, potentially causing a denial of service. Successful exploitation results in a high impact on availability, while confidentiality and integrity remain unaffected. |
| A weakness has been identified in JeecgBoot 3.9.1. This vulnerability affects the function importDocumentFromZip of the file org/jeecg/modules/airag/llm/controller/AiragKnowledgeController.java of the component Retrieval-Augmented Generation. Executing a manipulation can lead to deserialization. The attack can be launched remotely. Attacks of this nature are highly complex. It is stated that the exploitability is difficult. The project was informed of the problem early through an issue report but has not responded yet. |
| Deserialization of Untrusted Data vulnerability in SeventhQueen Sweet Date sweetdate allows Object Injection.This issue affects Sweet Date: from n/a through < 4.0.1. |
| Dag Authors, who normally should not be able to execute code in the webserver context could craft XCom payload causing the webserver to execute arbitrary code. Since Dag Authors are already highly trusted, severity of this issue is Low.
Users are recommended to upgrade to Apache Airflow 3.2.0, which fixes the issue. |
| 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 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. 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. |
| 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. |
| The extension extends TYPO3’ FileSpool component, which was vulnerable to Insecure Deserialization prior to TYPO3-CORE-SA-2026-004 https://typo3.org/security/advisory/typo3-core-sa-2026-004 . Since the related fix is overwritten by the extension, using the extension with a patched TYPO3 core version still allows for Insecure Deserialization, because the affected vulnerable code was extracted from TYPO3 core to the extension. More information about this vulnerability can be found in the related TYPO3 Core Security Advisory TYPO3-CORE-SA-2026-004 https://typo3.org/security/advisory/typo3-core-sa-2026-004 . |
| Hard-coded ASP.NET/IIS machineKey value in Digital Knowledge KnowledgeDeliver deployments prior to February 24, 2026 allows adversaries to circumvent ViewState validation mechanisms and achieve remote code execution via malicious ViewState deserialization attacks |
| Laravel Reverb provides a real-time WebSocket communication backend for Laravel applications. In versions 1.6.3 and below, Reverb passes data from the Redis channel directly into PHP’s unserialize() function without restricting which classes can be instantiated, which leaves users vulnerable to Remote Code Execution. The exploitability of this vulnerability is increased because Redis servers are commonly deployed without authentication, but only affects Laravel Reverb when horizontal scaling is enabled (REVERB_SCALING_ENABLED=true). This issue has been fixed in version 1.7.0. As a workaround, require a strong password for Redis access and ensure the service is only accessible via a private network or local loopback, and/or set REVERB_SCALING_ENABLED=false to bypass the vulnerable logic entirely (if the environment uses only one Reverb node). |
| Tendenci is an open source content management system built for non-profits, associations and cause-based sites. Versions 15.3.11 and below include a critical deserialization vulnerability in the Helpdesk module (which is not enabled by default). This vulnerability allows Remote Code Execution (RCE) by an authenticated user with staff security level due to using Python's pickle module in helpdesk /reports/. The original CVE-2020-14942 was incompletely patched. While ticket_list() was fixed to use safe JSON deserialization, the run_report() function still uses unsafe pickle.loads(). The impact is limited to the permissions of the user running the application, typically www-data, which generally lacks write (except for upload directories) and execute permissions. This issue has been fixed in version 15.3.12. |
| 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. |
| GPT Academic stream_daas Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of GPT Academic. Interaction with a malicious DAAS server is required to exploit this vulnerability but attack vectors may vary depending on the implementation.
The specific flaw exists within the stream_daas function. 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 root. Was ZDI-CAN-27956. |
