| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| A flaw was found in Netty's StompSubframeDecoder component. A remote attacker can exploit this vulnerability by sending a specially crafted STOMP frame body without its terminating null byte. This causes the decoder to allocate a ByteBuf (a buffer for bytes) that is never released, leading to a permanent memory leak. Over time, this uncontrolled memory consumption can result in a Denial of Service (DoS) for the application using the affected STOMP codec. |
| A flaw was found in io.netty/netty-codec-memcache. The Memcache binary protocol codec incorrectly reads `keyLength` and `extrasLength` as signed Java types instead of unsigned, as specified by the protocol. A malicious Memcache server can exploit this type mismatch by sending a specially crafted response. This can lead to frame desynchronization and response smuggling, where one client's data may be inadvertently exposed to another client's response stream in proxy or cache environments. |
| A flaw was found in Netty's `RedisArrayAggregator` component. A remote attacker can exploit this vulnerability by sending specially crafted nested Redis (RESP) array headers. This can cause the `RedisArrayAggregator` to eagerly preallocate a large amount of heap memory, leading to heap memory exhaustion and a Denial of Service (DoS) for applications using `RedisDecoder` with `RedisArrayAggregator` on untrusted traffic. |
| A flaw was found in Netty's Online Certificate Status Protocol (OCSP) Client. The client fails to verify the 'id-kp-OCSPSigning' Extended Key Usage (EKU) in OCSP responder certificates. A remote attacker, holding any valid certificate issued by the same Certificate Authority (CA), can exploit this by forging 'GOOD' OCSP responses for revoked certificates. This bypasses certificate revocation checks, allowing applications using Netty's OCSP Client to accept certificates that should have been revoked, leading to an authorization bypass. |
| A flaw was found in Netty's `SmtpResponseDecoder` component. A remote attacker, acting as a malicious or man-in-the-middle (MITM) SMTP server, could exploit this by sending a specially crafted, unbounded multi-line SMTP response without a terminator. This vulnerability leads to unbounded memory accumulation within the client's Java Virtual Machine (JVM) heap, causing an `OutOfMemoryError` and a denial of service (DoS) due to a process crash. |
| Red Hat Product Security has come to the conclusion that this CVE is not needed. |
| A flaw was found in Data Science Pipelines. A restricted user, or tenant, can exploit an improper authorization vulnerability in the setDefaultServiceAccount function. By specifying a more privileged ServiceAccount (SA) during a CreateRun request, an attacker can bypass authorization checks. This allows the tenant to run their containers with elevated privileges, potentially leading to the disclosure of sensitive information (secrets) and the ability to execute commands within other users' pods. |
| A flaw was found in the Data Science Pipelines Operator. This vulnerability allows an unauthenticated attacker to derive sensitive credentials, such as MariaDB root/user passwords and MinIO access/secret keys, if they can access the MinIO Route or MariaDB Service. The flaw occurs because the operator uses a cryptographically weak pseudo-random number generator (PRNG) to generate these credentials, making them predictable. Successful exploitation could lead to unauthorized access to all pipeline artifacts and metadata, resulting in significant information disclosure. |
| A cross-namespace authorization flaw in multicluster-observability-addon allows a user with permission to modify a managed cluster’s ManagedClusterAddOn configuration to reference ClusterLogForwarder or OpenTelemetryCollector resources outside the permitted namespace. If those resources reference Secrets, the add-on may copy the referenced Secrets to the attacker-controlled managed cluster. |
| A flaw was found in the RHOAI training-operator. This vulnerability allows a user with standard edit or admin roles in any Kubernetes namespace to escalate their privileges. Through the creation of training jobs, an attacker can impersonate service accounts, access the host filesystem, and potentially execute arbitrary code remotely. This issue arises from the aggregation of training job permissions onto native Kubernetes edit and admin ClusterRoles, coupled with unrestricted PodTemplateSpec passthrough. |
| A flaw was found in the Data Science Pipelines Operator (DSPO). A namespace editor can exploit a vulnerability in the spec.database.customExtraParams field, which allows for the injection of dangerous parameters into the MySQL Data Source Name (DSN) string. By manipulating these parameters, an attacker can enable LOCAL INFILE functionality and exfiltrate sensitive files, such as the service account token, from the operator pod. This can lead to privilege escalation, allowing a namespace editor to gain cluster-admin privileges. |
| A flaw was found in the Data Science Pipelines Operator (DSPO). The operator's ClusterRole, which defines its permissions, includes extensive privileges beyond what is necessary for its operation. These excessive permissions, such as the ability to execute commands within pods and manage cluster-wide roles, could be exploited. If the DSPO pod were compromised, an attacker could leverage these privileges to gain full administrative control over the entire Kubernetes cluster. |
| A flaw was found in the TrustyAI Service (TAS) deployment. This vulnerability allows any pod on the cluster network to bypass authentication and directly access the TAS backend API. An attacker can exploit this to read, tamper with, or delete monitoring data and configurations, and inject arbitrary data into the service, potentially disrupting tenant operations. |
| A flaw was found in the trustyai-service-operator's LMEvalJob controller. An authenticated user within the cluster can exploit this vulnerability by configuring a sidecar container to bypass existing security policies. This allows the user to enable and execute untrusted remote code, leading to arbitrary code execution within the cluster. |
| A vulnerability was found in Keycloak. A user with high privileges could read sensitive information from a Vault file that is not within the expected context. This attacker must have previous high access to the Keycloak server in order to perform resource creation, for example, an LDAP provider configuration and set up a Vault read file, which will only inform whether that file exists or not. |
| A vulnerability was found in the Keycloak Server. The Keycloak Server is vulnerable to a denial of service (DoS) attack due to improper handling of proxy headers. When Keycloak is configured to accept incoming proxy headers, it may accept non-IP values, such as obfuscated identifiers, without proper validation. This issue can lead to costly DNS resolution operations, which an attacker could exploit to tie up IO threads and potentially cause a denial of service.
The attacker must have access to send requests to a Keycloak instance that is configured to accept proxy headers, specifically when reverse proxies do not overwrite incoming headers, and Keycloak is configured to trust these headers. |
| A flaw was found in Keycloak. The org.keycloak.authorization package may be vulnerable to circumventing required actions, allowing users to circumvent requirements such as setting up two-factor authentication. |
| A flaw was found in Keycloak. When the configuration uses JWT tokens for authentication, the tokens are cached until expiration. If a client uses JWT tokens with an excessively long expiration time, for example, 24 or 48 hours, the cache can grow indefinitely, leading to an OutOfMemoryError. This issue could result in a denial of service condition, preventing legitimate users from accessing the system. |
| A flaw was found in the Keycloak organization feature, which allows the incorrect assignment of an organization to a user if their username or email matches the organization’s domain pattern. This issue occurs at the mapper level, leading to misrepresentation in tokens. If an application relies on these claims for authorization, it may incorrectly assume a user belongs to an organization they are not a member of, potentially granting unauthorized access or privileges. |
| A flaw was found in Keycloak. This issue occurs because sensitive runtime values, such as passwords, may be captured during the Keycloak build process and embedded as default values in bytecode, leading to unintended information disclosure. In Keycloak 26, sensitive data specified directly in environment variables during the build process is also stored as a default values, making it accessible during runtime. Indirect usage of environment variables for SPI options and Quarkus properties is also vulnerable due to unconditional expansion by PropertyMapper logic, capturing sensitive data as default values in all Keycloak versions up to 26.0.2. |