#apache

Graylog is a free and open log management platform. In a multi-node Graylog cluster, after a user has explicitly logged out, a user session may still be used for API requests until it has reached its original expiry time. Each node maintains an in-memory cache of user sessions. Upon a cache-miss, the session is loaded from the database. After that, the node operates solely on the cached session. Modifications to sessions will update the cached version as well as the session persisted in the database. However, each node maintains their isolated version of the session. When the user logs out, the session is removed from the node-local cache and deleted from the database. The other nodes will however still use the cached session. These nodes will only fail to accept the session id if they intent to update the session in the database. They will then notice that the session is gone. This is true for most API requests originating from user interaction with the Graylog UI because these will l...

Hello everyone! This month I decided NOT to make an episode completely dedicated to Microsoft Patch Tuesday. Instead, this episode will be an answer to the question of how my Vulnerability Management month went. A retrospection of some kind. Alternative video link (for Russia): https://vk.com/video-149273431_456239134 GitHub exploits and Vulristics This month I made some improvements […]

The DBCPConnectionPool and HikariCPConnectionPool Controller Services in Apache NiFi 0.0.2 through 1.21.0 allow an authenticated and authorized user to configure a Database URL with the H2 driver that enables custom code execution. This exploit will result in several shells (5-7). Successfully tested against Apache nifi 1.17.0 through 1.21.0.

ChatGPT and similar large language models (LLMs) have added further complexity to the ever-growing online threat landscape. Cybercriminals no longer need advanced coding skills to execute fraud and other damaging attacks against online businesses and customers, thanks to bots-as-a-service, residential proxies, CAPTCHA farms, and other easily accessible tools.  Now, the latest technology damaging

Recently disclosed security flaws impacting Juniper firewalls, Openfire, and Apache RocketMQ servers have come under active exploitation in the wild, according to multiple reports. The Shadowserver Foundation said that it's "seeing exploitation attempts from multiple IPs for Juniper J-Web CVE-2023-36844 (& friends) targeting /webauth_operation.php endpoint," the same day a proof-of-concept (PoC)

The Forminator plugin for WordPress is vulnerable to arbitrary file uploads due to file type validation occurring after a file has been uploaded to the server in the upload_post_image() function in versions up to, and including, 1.24.6. This makes it possible for unauthenticated attackers to upload arbitrary files on the affected site's server which may make remote code execution possible.

Theme Volty CMS Blog up to version v4.0.1 was discovered to contain a SQL injection vulnerability via the id parameter at /tvcmsblog/single.

Cross Site Scripting vulnerability in Spipu HTML2PDF before v.5.2.8 allows a remote attacker to execute arbitrary code via a crafted script to the forms.php.

Jorani version 1.0.3 suffers from a cross site scripting vulnerability.

Deserialization of Untrusted Data, Inclusion of Functionality from Untrusted Control Sphere vulnerability in Apache Software Foundation Apache Airflow Spark Provider. When the Apache Spark provider is installed on an Airflow deployment, an Airflow user that is authorized to configure Spark hooks can effectively run arbitrary code on the Airflow node by pointing it at a malicious Spark server. Prior to version 4.1.3, this was not called out in the documentation explicitly, so it is possible that administrators provided authorizations to configure Spark hooks without taking this into account. We recommend administrators to review their configurations to make sure the authorization to configure Spark hooks is only provided to fully trusted users. To view the warning in the docs please visit  https://airflow.apache.org/docs/apache-airflow-providers-apache-spark/4.1.3/connections/spark.html