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This Metasploit module exploits a remote code execution vulnerability in Splunk Enterprise. The affected versions include 9.0.x before 9.0.7 and 9.1.x before 9.1.2. The exploitation process leverages a weakness in the XSLT transformation functionality of Splunk. Successful exploitation requires valid credentials, typically admin:changeme by default. The exploit involves uploading a malicious XSLT file to the target system. This file, when processed by the vulnerable Splunk server, leads to the execution of arbitrary code. The module then utilizes the runshellscript capability in Splunk to execute the payload, which can be tailored to establish a reverse shell. This provides the attacker with remote control over the compromised Splunk instance. The module is designed to work seamlessly, ensuring successful exploitation under the right conditions.

A vulnerability has been identified in SINEC INS (All versions < V1.0 SP2 Update 2). Affected software does not correctly validate the response received by an UMC server. An attacker can use this to crash the affected software by providing and configuring a malicious UMC server or by manipulating the traffic from a legitimate UMC server (i.e. leveraging CVE-2023-48427).

2023 has seen its fair share of cyber attacks, however there’s one attack vector that proves to be more prominent than others - non-human access. With 11 high-profile attacks in 13 months and an ever-growing ungoverned attack surface, non-human identities are the new perimeter, and 2023 is only the beginning.  Why non-human access is a cybercriminal’s paradise  People always

Emlog version pro2.1.14 was discovered to contain a SQL injection vulnerability via the uid parameter at /admin/media.php.

**What is the nature of the spoofing?** An attacker could appear as a trusted user when they should not be. This could cause a user to mistakenly trust a signed email message as if it came from a legitimate user.

Improper Neutralization of Special Elements Used in a Template Engine in GitHub repository mlflow/mlflow prior to 2.9.2.

Improper Neutralization of Special Elements Used in a Template Engine in GitHub repository mlflow/mlflow prior to 2.9.2.

## Overview: A moderate security vulnerability has been identified in Uptime Kuma platform that poses a significant threat to the confidentiality and integrity of user accounts. When a user changes their login password in Uptime Kuma, a previously logged-in user retains access without being logged out. This behaviour persists consistently, even after system restarts or browser restarts. This vulnerability allows unauthorized access to user accounts, compromising the security of sensitive information. The same vulnerability was partially fixed in https://github.com/louislam/uptime-kuma/security/advisories/GHSA-g9v2-wqcj-j99g but logging existing users out of their accounts was forgotten. ## Impact: The impact of this vulnerability is moderate, as it enables attackers or unauthorized individuals to maintain access to user accounts even after the account password has been changed. This can lead to unauthorized data access, manipulation, or compromise of user accounts, posing a threa...

### Impact S3 credentials are logged in plain text ``` S3Creds:{Key:AKIAIOSFODNN7EXAMPLE Secret:wJalrXUtnFEMI/K7MDENG/bPxRfiCYEXAMPLEKEY ``` appears as part of the log message: ``` time="2023-05-12T13:51:52Z" level=error msg="failed to perform diff" func="pkg/plugins/diff.(*Service).RunDiff" file="build/pkg/plugins/diff/service.go:124" error="rpc error: code = Canceled desc = stream terminated by RST_STREAM with error code: CANCEL" host="localhost:8000" method=GET operation_id=OtfDiff params="{TablePaths:{Left:{Ref:data_load@ Path:aggs/agg_variety/} Right:{Ref:data_load Path:aggs/agg_variety/} Base:{Ref: Path:}} S3Creds:{Key:AKIAIOSFODNN7EXAMPLE Secret:wJalrXUtnFEMI/K7MDENG/bPxRfiCYEXAMPLEKEY Endpoint:http://0.0.0.0:8000} Repo:example}" path="/api/v1/repositories/example/otf/refs/data_load%40/diff/data_load?table_path=aggs%2Fagg_variety%2F&type=delta" request_id=d3b6fdc7-2544-4c12-8e05-376f16e35a80 service_name=rest_api type=delta user=docker ``` Discovered when investigating [#5...

### Impact When lakeFS is configured with **ALL** of the following: - Configuration option `auth.encrypt.secret_key` passed through environment variable - Actions enabled via configuration option `actions.enabled` (default enabled) then a user who can configure an action can impersonate any other user. ### Patches _Has the problem been patched? What versions should users upgrade to?_ ### Workarounds **ANY ONE** of these is sufficient to prevent the issue: * Do not pass `auth.encrypt.secret_key` through an environment variable. For instance, Kubernetes users can generate the entire configuration as a secret and mount that. This is described [here](https://kubernetes.io/docs/concepts/configuration/secret/#using-a-secret). * Disable actions. * Limit users allowed to configure actions.