| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| Before Airflow 3.2.0, it was unclear that secure Airflow deployments require the Deployment Manager to take appropriate actions and pay attention to security details and security model of Airflow. Some assumptions the Deployment Manager could make were not clear or explicit enough, even though Airflow's intentions and security model of Airflow did not suggest different assumptions. The overall security model [1], workload isolation [2], and JWT authentication details [3] are now described in more detail. Users concerned with role isolation and following the Airflow security model of Airflow are advised to upgrade to Airflow 3.2, where several security improvements have been implemented. They should also read and follow the relevant documents to make sure that their deployment is secure enough. It also clarifies that the Deployment Manager is ultimately responsible for securing your Airflow deployment. This had also been communicated via Airflow 3.2.0 Blog announcement [4].
[1] Security Model: https://airflow.apache.org/docs/apache-airflow/stable/security/jwt_token_authentication.html
[2] Workload isolation: https://airflow.apache.org/docs/apache-airflow/stable/security/workload.html
[3] JWT Token authentication: https://airflow.apache.org/docs/apache-airflow/stable/security/jwt_token_authentication.html
[4] Airflow 3.2.0 Blog announcement: https://airflow.apache.org/blog/airflow-3.2.0/
Users are recommended to upgrade to version 3.2.0, which fixes this issue. |
| 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 resolves this issue. |
| Use of insecure directory in Spring Data Geode snapshot import extracts archives into predictable, permissive directories under the system temp location. On shared hosts, a local user with basic privileges can access another user’s extracted snapshot contents, leading to unintended exposure of cache data. |
| HashiCorp Consul and Consul Enterprise 1.18.20 up to 1.21.10 and 1.22.4 are vulnerable to arbitrary file read when configured with Kubernetes authentication. This vulnerability, CVE-2026-2808, is fixed in Consul 1.18.21, 1.21.11 and 1.22.5. |
| Tanium addressed an insertion of sensitive information into log file vulnerability in Trends. |
| OpenClaw is a personal AI assistant. Telegram bot tokens can appear in error messages and stack traces (for example, when request URLs include `https://api.telegram.org/bot<token>/...`). Prior to version 2026.2.15, OpenClaw logged these strings without redaction, which could leak the bot token into logs, crash reports, CI output, or support bundles. Disclosure of a Telegram bot token allows an attacker to impersonate the bot and take over Bot API access. Users should upgrade to version 2026.2.15 to obtain a fix and rotate the Telegram bot token if it may have been exposed. |
| The web management interface of the device renders the passwords in a
plaintext input field. The current password is directly visible to
anyone with access to the UI, potentially exposing administrator
credentials to unauthorized observation via shoulder surfing,
screenshots, or browser form caching. |
| openITCOCKPIT is an open source monitoring tool built for different monitoring engines like Nagios, Naemon and Prometheus. Versions 5.3.1 and below contain an unsafe deserialization sink in the Gearman worker implementation. The worker function registered as oitc_gearman calls PHP's unserialize() on job payloads without enforcing class restrictions or validating data origin. While the intended deployment assumes only trusted internal components enqueue Gearman jobs, this trust boundary is not enforced in application code. In environments where the Gearman service or worker is exposed to untrusted systems, an attacker may submit crafted serialized payloads to trigger PHP Object Injection in the worker process. This vulnerability is exploitable when Gearman listens on non-local interfaces, network access to TCP/4730 is unrestricted, or untrusted systems can enqueue jobs. Default, correctly hardened deployments may not be immediately exploitable, but the unsafe sink remains present in code regardless of deployment configuration. Enforcing this trust boundary in code would significantly reduce risk and prevent exploitation in misconfigured environments. This issue has been fixed in version 5.4.0. |
| openITCOCKPIT is an open source monitoring tool built for different monitoring engines like Nagios, Naemon and Prometheus. openITCOCKPIT Community Edition 5.3.1 and earlier contains an unsafe PHP deserialization pattern in the processing of changelog entries. Serialized changelog data derived from attacker-influenced application state is unserialized without restricting allowed classes. Although no current application endpoint was found to introduce PHP objects into this data path, the presence of an unrestricted unserialize() call constitutes a latent PHP object injection vulnerability. If future code changes, plugins, or refactors introduce object values into this path, the vulnerability could become immediately exploitable with severe impact, including potential remote code execution. |
| GFI Archiver MArc.Core Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of GFI Archiver. Although authentication is required to exploit this vulnerability, the existing authentication mechanism can be bypassed.
The specific flaw exists within the configuration of the MArc.Core.Remoting.exe process, which listens on port 8017. 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-27935. |
| GFI Archiver MArc.Store Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of GFI Archiver. Although authentication is required to exploit this vulnerability, the existing authentication mechanism can be bypassed.
The specific flaw exists within the configuration of the MArc.Store.Remoting.exe process. 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-27936. |
| Flask is a web server gateway interface (WSGI) web application framework. In versions 3.1.2 and below, when the session object is accessed, Flask should set the Vary: Cookie header., resulting in a Use of Cache Containing Sensitive Information vulnerability. The logic instructs caches not to cache the response, as it may contain information specific to a logged in user. This is handled in most cases, but some forms of access such as the Python in operator were overlooked. The severity and risk depend on the application being hosted behind a caching proxy that doesn't ignore responses with cookies, not setting a Cache-Control header to mark pages as private or non-cacheable, and accessing the session in a way that only touches keys without reading values or mutating the session. The issue has been fixed in version 3.1.3. |
| Zumba Json Serializer is a library to serialize PHP variables in JSON format. In versions 3.2.2 and below, the library allows deserialization of PHP objects from JSON using a special @type field. The deserializer instantiates any class specified in the @type field without restriction. When processing untrusted JSON input, this behavior may allow an attacker to instantiate arbitrary classes available in the application. If a vulnerable application passes attacker-controlled JSON into JsonSerializer::unserialize() and contains classes with dangerous magic methods (such as __wakeup() or __destruct()), this may lead to PHP Object Injection and potentially Remote Code Execution (RCE), depending on available gadget chains in the application or its dependencies. This behavior is similar in risk profile to PHP's native unserialize() when used without the allowed_classes restriction. Applications are impacted only if untrusted or attacker-controlled JSON is passed into JsonSerializer::unserialize() and the application or its dependencies contain classes that can be leveraged as a gadget chain. This issue has been fixed in version 3.2.3. If an immediate upgrade isn't feasible, mitigate the vulnerability by never deserializing untrusted JSON with JsonSerializer::unserialize(), validating and sanitizing all JSON input before deserialization, and disabling @type-based object instantiation wherever possible. |
| A vulnerability was detected in funadmin up to 7.1.0-rc4. This issue affects the function getMember of the file app/common/service/AuthCloudService.php of the component Backend Endpoint. The manipulation of the argument cloud_account results in deserialization. The attack may be performed from remote. The exploit is now public and may be used. The vendor was contacted early about this disclosure but did not respond in any way. |
| A vulnerability has been found in datapizza-labs datapizza-ai 0.0.2. Affected by this vulnerability is the function RedisCache of the file datapizza-ai-cache/redis/datapizza/cache/redis/cache.py. Such manipulation leads to deserialization. The attack requires being on the local network. A high complexity level is associated with this attack. The exploitation appears to be difficult. The exploit has been disclosed to the public and may be used. The vendor was contacted early about this disclosure but did not respond in any way. |
| Shenzhen Tenda F3 Wireless Router firmware V12.01.01.55_multi contains a sensitive information exposure vulnerability in the configuration download functionality. The configuration download response includes the router password and administrative password in plaintext. The endpoint also omits appropriate Cache-Control directives, which can allow the response to be stored in client-side caches and recovered by other local users or processes with access to cached browser data. |
| The Print Service component of Fiserv Originate Loans Peripherals (formerly Velocity Services) in unsupported version 2021.2.4 (build 4.7.3155.0011) uses deprecated .NET Remoting TCP channels that allow unsafe deserialization of untrusted data. When these services are exposed to an untrusted network in a client-managed deployment, an unauthenticated attacker can achieve remote code execution. Version 2021.2.4 is no longer supported by Fiserv. Customers should upgrade to a currently supported release (2025.1 or later) and ensure that .NET Remoting service ports are not exposed beyond trusted network boundaries.
This CVE documents behavior observed in a client-hosted deployment running an unsupported legacy version of Originate Loans Peripherals with .NET Remoting ports exposed to an untrusted network. This is not a default or supported configuration. Customers running legacy versions should upgrade to a currently supported release and ensure .NET Remoting ports are restricted to trusted network segments. The finding does not apply to Fiserv-hosted environments. |
| LORIS (Longitudinal Online Research and Imaging System) is a self-hosted web application that provides data- and project-management for neuroimaging research. From 20.0.0 to before 27.0.3 and 28.0.1, a bug in the static file router can allow an attacker to traverse outside of the intended directory, allowing unintended files to be downloaded through the static, css, and js endpoints. This vulnerability is fixed in 27.0.3 and 28.0.1. |
| A vulnerability exists in FlashBlade whereby sensitive information may be logged under specific conditions. |
| A vulnerability in the `TFSMLayer` class of the `keras` package, version 3.13.0, allows attacker-controlled TensorFlow SavedModels to be loaded during deserialization of `.keras` models, even when `safe_mode=True`. This bypasses the security guarantees of `safe_mode` and enables arbitrary attacker-controlled code execution during model inference under the victim's privileges. The issue arises due to the unconditional loading of external SavedModels, serialization of attacker-controlled file paths, and the lack of validation in the `from_config()` method. |
