Source
ghsa
An issue was discovered in OpenDaylight Authentication, Authorization and Accounting (AAA) through 0.19.3. A rogue controller can join a cluster to impersonate an offline peer, even if this rogue controller does not possess the complete cluster configuration information.
Mattermost Desktop App versions <=5.8.0 fail to specify an absolute path when searching the cmd.exe file, which allows a local attacker who is able to put an cmd.exe file in the Downloads folder of a user's machine to cause remote code execution on that machine.
Deserialization of Untrusted Data vulnerability in Apache Seata. When developers disable authentication on the Seata-Server and do not use the Seata client SDK dependencies, they may construct uncontrolled serialized malicious requests by directly sending bytecode based on the Seata private protocol. This issue affects Apache Seata: 2.0.0, from 1.0.0 through 1.8.0. Users are recommended to upgrade to version 2.1.0/1.8.1, which fixes the issue.
In OpenDaylight Model-Driven Service Abstraction Layer (MD-SAL) through 13.0.1, a controller with a follower role can configure flow entries in an OpenDaylight clustering deployment.
A vulnerability has been found in composiohq composio up to 0.5.6 and classified as critical. Affected by this vulnerability is the function Calculator of the file python/composio/tools/local/mathematical/actions/calculator.py. The manipulation leads to code injection. 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.
A vulnerability was found in composiohq composio up to 0.5.8 and classified as problematic. Affected by this issue is the function path of the file composio\server\api.py. The manipulation of the argument file leads to path traversal. 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.
A flaw was found in Ansible, where sensitive information stored in Ansible Vault files can be exposed in plaintext during the execution of a playbook. This occurs when using tasks such as include_vars to load vaulted variables without setting the no_log: true parameter, resulting in sensitive data being printed in the playbook output or logs. This can lead to the unintentional disclosure of secrets like passwords or API keys, compromising security and potentially allowing unauthorized access or actions.
A Cross-Site Request Forgery (CSRF) vulnerability exists in lunary-ai/lunary version 1.2.34 due to overly permissive CORS settings. This vulnerability allows an attacker to sign up for and create projects or use the instance as if they were a user with local access. The main attack vector is for instances hosted locally on personal machines, which are not publicly accessible. The CORS settings in the backend permit all origins, exposing unauthenticated endpoints to CSRF attacks.
An improper access control vulnerability exists in lunary-ai/lunary prior to commit 844e8855c7a713dc7371766dba4125de4007b1cf on the main branch. The vulnerability allows an attacker to use the auth tokens issued by the 'invite user' functionality to obtain valid JWT tokens. These tokens can be used to compromise target users upon registration for their own arbitrary organizations. The attacker can invite a target email, obtain a one-time use token, retract the invite, and later use the token to reset the password of the target user, leading to full account takeover.
An information disclosure vulnerability exists in the lunary-ai/lunary, specifically in the `runs/{run_id}/related` endpoint. This endpoint does not verify that the user has the necessary access rights to the run(s) they are accessing. As a result, it returns not only the specified run but also all runs that have the `run_id` listed as their parent run. This issue affects the main branch, commit a761d833. The vulnerability allows unauthorized users to obtain information about non-public runs and their related runs, given the `run_id` of a public or non-public run.