Use after free in CSS in Google Chrome prior to 147.0.7727.101 allowed a remote attacker to execute arbitrary code inside a sandbox via a crafted HTML page. (Chromium security severity: High)
In Splunk Enterprise versions below 10.2.2, 10.0.5, 9.4.10, and 9.3.11, and Splunk Cloud Platform versions below 10.4.2603.0, 10.3.2512.6, 10.2.2510.10, 10.1.2507.20, 10.0.2503.13, and 9.3.2411.127, a user who holds a role that contains the high-privilege capability `edit_user`could create a specially crafted username that includes a null byte or a non-UTF-8 percent-encoded byte due to improper input validation.<br><br>This could lead to inconsistent conversion of usernames into a proper format for storage and account management inconsistencies, such as being unable to edit or delete affected users.
In Splunk Enterprise versions below 10.2.2, 10.0.5, 9.4.10, and 9.3.11, and Splunk Cloud Platform versions below 10.4.2603.0, 10.3.2512.6, 10.2.2510.10, 10.1.2507.19, 10.0.2503.13, and 9.3.2411.127, a low-privileged user that does not hold the `admin` or `power` Splunk roles, has write permission on the app, and does not hold the high-privilege capability `accelerate_datamodel`, could turn on or off Data Model Acceleration due to improper access control.
In Splunk Enterprise versions below 10.2.1, 10.0.5, 9.4.10, and 9.3.11, and Splunk Cloud Platform versions below 10.4.2603.0, 10.3.2512.5, 10.2.2510.9, 10.1.2507.19, 10.0.2503.13, and 9.3.2411.127, a low-privileged user that does not hold the `admin` or `power` Splunk roles could potentially perform a Remote Code Execution (RCE) by uploading a malicious file to the `$SPLUNK_HOME/var/run/splunk/apptemp` directory due to improper handling and insufficient isolation of temporary files within the `apptemp` directory.
The `access_key` and `connection_string` connection properties were not marked as sensitive names in secrets masker. This means that user with read permission could see the values in Connection UI, as well as when Connection was accidentaly logged to logs, those values could be seen in the logs. Azure Service Bus used those properties to store sensitive values. Possibly other providers could be also affected if they used the same fields to store sensitive data.
If you used Azure Service Bus connection with those values set or if you have other connections with those values storing sensitve values, you should upgrade Airflow to 3.1.8
Impact:
Fastify applications using schema.body.content for per-content-type body validation can have validation bypassed entirely by prepending a space to the Content-Type header. The body is still parsed correctly but schema validation is skipped.
This is a regression introduced in fastify >= 5.3.2 by the fix for CVE-2025-32442
Patches:
Upgrade to fastify v5.8.5 or later.
Workarounds:
None. Upgrade to the patched version.
The example example_xcom that was included in airflow documentation implemented unsafe pattern of reading value
from xcom in the way that could be exploited to allow UI user who had access to modify XComs to perform arbitrary
execution of code on the worker. Since the UI users are already highly trusted, this is a Low severity vulnerability.
It does not affect Airflow release - example_dags are not supposed to be enabled in production environment, however
users following the example could replicate the bad pattern. Documentation of Airflow 3.2.0 contains version of
the example with improved resiliance for that case.
Users who followed that pattern are advised to adjust their implementations accordingly.
Adobe Framemaker versions 2022.8 and earlier are affected by an Improper Input Validation vulnerability that could lead to arbitrary file system read. An attacker could leverage this vulnerability to access sensitive files or data on the system. Exploitation of this issue requires user interaction in that a victim must open a malicious file.
Adobe Framemaker versions 2022.8 and earlier are affected by an Access of Uninitialized Pointer vulnerability that could lead to memory exposure. An attacker could leverage this vulnerability to disclose sensitive information. Exploitation of this issue requires user interaction in that a victim must open a malicious file.
Adobe Framemaker versions 2022.8 and earlier are affected by a Heap-based Buffer Overflow vulnerability that could lead to memory exposure. An attacker could leverage this vulnerability to disclose sensitive information stored in memory. Exploitation of this issue requires user interaction in that a victim must open a malicious file.