| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| Allocation of Resources Without Limits or Throttling vulnerability in Apache Tomcat.
This issue affects Apache Tomcat: from 11.0.0-M1 through 11.0.21, from 10.1.0-M1 through 10.1.54, from 9.0.0.M1 through 9.0.117.
Older, unsupported versions may also be affected.
Users are recommended to upgrade to version [FIXED_VERSION], which fixes the issue. |
| Improper Neutralization of Special Elements used in an SQL Command vulnerability allows SQL Injection via graph container parameter. This issue affects Pandora FMS: from 777 through 800 |
| Server-Side Request Forgery vulnerability allows Privilege Escalation via API Checker extension. This issue affects Pandora FMS: from 777 through 800 |
| In uriparser before 1.0.2, there is pointer difference truncation to int in various places. |
| Session Fixation vulnerability allows Session Hijacking via crafted session ID. This issue affects Pandora FMS: from 777 through 800 |
| Cross-Site Request Forgery vulnerability allows an attacker to perform unauthorized actions via crafted web page. This issue affects Pandora FMS: from 777 through 800 |
| The HTTP/2 protocol allows a denial of service (server resource consumption) because request cancellation can reset many streams quickly, as exploited in the wild in August through October 2023. |
| Insecure Default Initialization of Resource vulnerability allows Authentication Bypass via API access. This issue affects Pandora FMS: from 777 through 800 |
| In the Linux kernel, the following vulnerability has been resolved:
drm/xe/pxp: Clear restart flag in pxp_start after jumping back
If we don't clear the flag we'll keep jumping back at the beginning of
the function once we reach the end.
(cherry picked from commit 0850ec7bb2459602351639dccf7a68a03c9d1ee0) |
| PySyft (Syft Datasite/Server) versions 0.9.5 and earlier are vulnerable to remote code execution due to insufficient validation and sandboxing of user-submitted code. The system allows low-privileged users to submit Python functions (via @sy.syft_function()) for remote execution on the server. While a code approval mechanism exists, the submitted code undergoes no security checks for dangerous operations (e.g., file access, command execution). Once approved, the code is executed within the server process using exec() and eval() functions without proper isolation. A remote attacker can leverage this to execute arbitrary Python code on the server, leading to complete compromise of the server environment. |
| The _load_model() function in the neural_magic_training.py script of the optimate project in commit a6d302f912b481c94370811af6b11402f51d377f (2024-07-21) is vulnerable to insecure deserialization (CWE-502). When a user provides a single model file path (e.g., .pt or .pth) via the --model command-line argument, the function loads the file using torch.load() without enabling the weights_only=True security parameter. This allows the deserialization of arbitrary Python objects through the Pickle module. A remote attacker can exploit this by providing a maliciously crafted model file, leading to arbitrary code execution during deserialization on the victim's system. |
| The _load_model() function in the neural_magic_training.py script of the optimate project in commit a6d302f912b481c94370811af6b11402f51d377f (2024-07-21) is vulnerable to insecure deserialization (CWE-502). When loading a model state dictionary from a state_dict.pt file via torch.load(), the function does not enable the weights_only=True security parameter. This allows the deserialization of arbitrary Python objects through the Pickle module. A remote attacker can exploit this by providing a maliciously crafted state_dict.pt file within a directory specified via the --model argument, leading to arbitrary code execution during the deserialization process on the victim's system. |
| The _load_model() function in the neural_magic_training.py script of the optimate project in commit a6d302f912b481c94370811af6b11402f51d377f (2024-07-21) allows arbitrary code execution. When a user supplies a directory path via the --model command-line argument, the function reads a module.py file from that directory and executes its contents directly using Python's exec() function. This design does not validate or sanitize the file's content, allowing an attacker who controls the input directory to execute arbitrary Python code in the context of the process running the script. |
| The nexent v1.7.5.2 backend service contains an unauthorized arbitrary storage file deletion vulnerability in its file management API. The DELETE /storage/{object_name:path} endpoint lacks authentication, authorization, and input validation mechanisms. Unauthenticated remote attackers can send crafted requests with a user-controlled object_name path parameter to delete arbitrary files from the underlying MinIO storage system. Successful exploitation leads to data loss and denial of service. |
| The nexent v1.7.5.2 backend service contains an unauthorized arbitrary file deletion vulnerability in its ElasticSearch service interface. The DELETE /{index_name}/documents endpoint lacks proper authentication and authorization controls and does not validate the user-supplied path_or_url parameter. This allows unauthenticated remote attackers to send crafted requests that trigger the deletion of arbitrary documents from ElasticSearch indices and corresponding files from the MinIO storage system. Successful exploitation leads to data destruction and denial of service. |
| A reflected cross-site scripted (XSS) vulnerability in the dfm-menu_markeralerts.php component of GmbH Mecury Managed Print Services (docuForm) v11.11c allows attackers to execute arbitrary Javascript in the context of a user's browser via injecting a crafted payload into an unfiltered variable value. |
| The torch-checkpoint-shrink.py script in the ml-engineering project in commit 0099885db36a8f06556efe1faf552518852cb1e0 (2025-20-27) contains an insecure deserialization vulnerability (CWE-502). The script uses torch.load() to process PyTorch checkpoint files (.pt) without enabling the security-restrictive weights_only=True parameter. This oversight allows the deserialization of arbitrary Python objects via the pickle module. A remote attacker can exploit this by providing a maliciously crafted checkpoint file, leading to arbitrary code execution in the context of the user running the script. |
| In uriparser before 1.0.2, the function family EqualsUri can misclassify two unequal URIs as equal. |
| Sync-in Server is a secure, open-source platform for file storage, sharing, collaboration, and syncing. Prior to version 2.2.0, the /api/auth/login endpoint contains a logic flaw that allows unauthenticated remote attackers to enumerate valid usernames by measuring the application's response time. This issue has been patched in version 2.2.0. |
| The affected applications contains a memory corruption vulnerability while parsing specially crafted IPT files. This could allow an attacker to execute code in the context of the current process. (ZDI-CAN-27349, ZDI-CAN-27389) |
