Red Hat threat watch

A flaw was found in InstructLab. The `linux_train.py` script hardcodes `trust_remote_code=True` when loading models from HuggingFace. This allows a remote attacker to achieve arbitrary Python code execution by convincing a user to run `ilab train/download/generate` with a specially crafted malicious model from the HuggingFace Hub. This vulnerability can lead to complete system compromise.

A flaw was found in InstructLab. A local attacker could exploit a path traversal vulnerability in the chat session handler by manipulating the `logs_dir` parameter. This allows the attacker to create new directories and write files to arbitrary locations on the system, potentially leading to unauthorized data modification or disclosure.

A flaw was found in Red Hat Quay. When Red Hat Quay requests password re-verification for sensitive operations, such as token generation or robot account creation, the re-authentication prompt can be bypassed. This allows a user with a timed-out session, or an attacker with access to an idle authenticated browser session, to perform privileged actions without providing valid credentials. The vulnerability enables unauthorized execution of sensitive operations despite the user interface displaying an error for invalid credentials.

A flaw was found in odh-dashboard in Red Hat Openshift AI. This vulnerability in the `odh-dashboard` component of Red Hat OpenShift AI (RHOAI) allows for the disclosure of Kubernetes Service Account tokens through a NodeJS endpoint. This could enable an attacker to gain unauthorized access to Kubernetes resources.

A flaw was found in Red Hat Quay's handling of resumable container image layer uploads. The upload process stores intermediate data in the database using a format that, if tampered with, could allow an attacker to execute arbitrary code on the Quay server.

A flaw was found in Red Hat Quay's container image upload process. An authenticated user with push access to any repository on the registry can interfere with image uploads in progress by other users, including those in repositories they do not have access to. This could allow the attacker to read, modify, or cancel another user's in-progress image upload.

A flaw was found in Open Cluster Management (OCM), the technology underlying Red Hat Advanced Cluster Management (ACM). Improper validation of Kubernetes client certificate renewal allows a managed cluster administrator to forge a client certificate that can be approved by the OCM controller. This enables cross-cluster privilege escalation and may allow an attacker to gain control over other managed clusters, including the hub cluster.

A flaw was found in virtio-win, specifically within the VirtIO Block (BLK) device. When the device undergoes a reset, it fails to properly manage memory, resulting in a use-after-free vulnerability. This issue could allow a local attacker to corrupt system memory, potentially leading to system instability or unexpected behavior.

A flaw was found in Undertow. When Undertow receives an HTTP request where the first header line starts with one or more spaces, it incorrectly processes the request by stripping these leading spaces. This behavior, which violates HTTP standards, can be exploited by a remote attacker to perform request smuggling. Request smuggling allows an attacker to bypass security mechanisms, access restricted information, or manipulate web caches, potentially leading to unauthorized actions or data exposure.

A flaw was found in Undertow. This vulnerability allows a remote attacker to construct specially crafted requests where header names are parsed differently by Undertow compared to upstream proxies. This discrepancy in header interpretation can be exploited to launch request smuggling attacks, potentially bypassing security controls and accessing unauthorized resources.

A flaw was found in Undertow. A remote attacker can exploit this vulnerability by sending `\r\r\r` as a header block terminator. This can be used for request smuggling with certain proxy servers, such as older versions of Apache Traffic Server and Google Cloud Classic Application Load Balancer, potentially leading to unauthorized access or manipulation of web requests.

A flaw was found in Red Hat OpenShift AI (RHOAI) llama-stack-operator. This vulnerability allows unauthorized access to Llama Stack services deployed in other namespaces via direct network requests, because no NetworkPolicy restricts access to the llama-stack service endpoint. As a result, a user in one namespace can access another user’s Llama Stack instance and potentially view or manipulate sensitive data.

A flaw was found in Undertow. A remote attacker could exploit this vulnerability by sending an HTTP GET request containing multipart/form-data content. If the underlying application processes parameters using methods like `getParameterMap()`, the server prematurely parses and stores this content to disk. This could lead to resource exhaustion, potentially resulting in a Denial of Service (DoS).

A flaw was found in Wildfly Elytron integration. The component does not implement sufficient measures to prevent multiple failed authentication attempts within a short time frame, making it more susceptible to brute force attacks via CLI.

A flaw was found in m2crypto. This issue may allow a remote attacker to decrypt captured messages in TLS servers that use RSA key exchanges, which may lead to exposure of confidential or sensitive data.

Red Hat JBoss RichFaces Framework contains an expression language injection vulnerability via the UserResource resource. A remote, unauthenticated attacker could exploit this vulnerability to execute malicious code using a chain of Java serialized objects via org.ajax4jsf.resource.UserResource$UriData.

Red Hat Polkit contains an incorrect authorization vulnerability through the bypassing of credential checks for D-Bus requests, allowing for privilege escalation.

The Red Hat polkit pkexec utility contains an out-of-bounds read and write vulnerability that allows for privilege escalation with administrative rights.

A flaw was found in rhn-proxy. This vulnerability may allow the rhn-proxy to transmit user credentials in clear-text when it accesses RHN Satellite. This could lead to information disclosure, where sensitive authentication details are exposed to unauthorized parties.

The Linux Kernel 2.6.32 and later are affected by a denial of service, by flooding the diagnostic port 0x80 an exception can be triggered leading to a kernel panic.