| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| The ParseAddressList function incorrectly handles comments (text within parentheses) within display names. Since this is a misalignment with conforming address parsers, it can result in different trust decisions being made by programs using different parsers. |
| A container privilege escalation flaw was found in certain CodeReady Workspaces images. This issue stems from the /etc/passwd file being created with group-writable permissions during build time. In certain conditions, an attacker who can execute commands within an affected container, even as a non-root user, can leverage their membership in the root group to modify the /etc/passwd file. This could allow the attacker to add a new user with any arbitrary UID, including UID 0, leading to full root privileges within the container. |
| Expr is an expression language and expression evaluation for Go. Prior to version 1.17.0, if the Expr expression parser is given an unbounded input string, it will attempt to compile the entire string and generate an Abstract Syntax Tree (AST) node for each part of the expression. In scenarios where input size isn’t limited, a malicious or inadvertent extremely large expression can consume excessive memory as the parser builds a huge AST. This can ultimately lead to*excessive memory usage and an Out-Of-Memory (OOM) crash of the process. This issue is relatively uncommon and will only manifest when there are no restrictions on the input size, i.e. the expression length is allowed to grow arbitrarily large. In typical use cases where inputs are bounded or validated, this problem would not occur. The problem has been patched in the latest versions of the Expr library. The fix introduces compile-time limits on the number of AST nodes and memory usage during parsing, preventing any single expression from exhausting resources. Users should upgrade to Expr version 1.17.0 or later, as this release includes the new node budget and memory limit safeguards. Upgrading to v1.17.0 ensures that extremely deep or large expressions are detected and safely aborted during compilation, avoiding the OOM condition. For users who cannot immediately upgrade, the recommended workaround is to impose an input size restriction before parsing. In practice, this means validating or limiting the length of expression strings that your application will accept. For example, set a maximum allowable number of characters (or nodes) for any expression and reject or truncate inputs that exceed this limit. By ensuring no unbounded-length expression is ever fed into the parser, one can prevent the parser from constructing a pathologically large AST and avoid potential memory exhaustion. In short, pre-validate and cap input size as a safeguard in the absence of the patch. |
| Improper finite state machines (FSMs) in hardware logic in some Intel(R) Processors may allow an privileged user to potentially enable a denial of service via local access. |
| A flaw was found in ose-openshift-apiserver. This vulnerability allows internal network enumeration, service discovery, limited information disclosure, and potential denial-of-service (DoS) through Server-Side Request Forgery (SSRF) due to missing IP address and network-range validation when processing user-supplied image references. |
| Async <= 2.6.4 and <= 3.2.5 are vulnerable to ReDoS (Regular Expression Denial of Service) while parsing function in autoinject function. NOTE: this is disputed by the supplier because there is no realistic threat model: regular expressions are not used with untrusted input. |
| A vulnerability exists in the bind-propagation option of the Dockerfile RUN --mount instruction. The system does not properly validate the input passed to this option, allowing users to pass arbitrary parameters to the mount instruction. This issue can be exploited to mount sensitive directories from the host into a container during the build process and, in some cases, modify the contents of those mounted files. Even if SELinux is used, this vulnerability can bypass its protection by allowing the source directory to be relabeled to give the container access to host files. |
| A flaw was found in the Open Virtual Network (OVN). Specially crafted UDP packets may bypass egress access control lists (ACLs) in OVN installations configured with a logical switch with DNS records set on it and if the same switch has any egress ACLs configured. This issue can lead to unauthorized access to virtual machines and containers running on the OVN network. |
| A race condition vulnerability was discovered in how signals are handled by OpenSSH's server (sshd). If a remote attacker does not authenticate within a set time period, then sshd's SIGALRM handler is called asynchronously. However, this signal handler calls various functions that are not async-signal-safe, for example, syslog(). As a consequence of a successful attack, in the worst case scenario, an attacker may be able to perform a remote code execution (RCE) as an unprivileged user running the sshd server. |
| A flaw was found in OpenShift Console. A Server Side Request Forgery (SSRF) attack can happen if an attacker supplies all or part of a URL to the server to query. The server is considered to be in a privileged network position and can often reach exposed services that aren't readily available to clients due to network filtering. Leveraging such an attack vector, the attacker can have an impact on other services and potentially disclose information or have other nefarious effects on the system.
The /api/dev-console/proxy/internet endpoint on the OpenShift Console allows authenticated users to have the console's pod perform arbitrary and fully controlled HTTP(s) requests. The full response to these requests is returned by the endpoint.
While the name of this endpoint suggests the requests are only bound to the internet, no such checks are in place. An authenticated user can therefore ask the console to perform arbitrary HTTP requests from outside the cluster to a service inside the cluster. |
| It is possible to construct a zone such that some queries to it will generate responses containing numerous records in the Additional section. An attacker sending many such queries can cause either the authoritative server itself or an independent resolver to use disproportionate resources processing the queries. Zones will usually need to have been deliberately crafted to attack this exposure.
This issue affects BIND 9 versions 9.11.0 through 9.11.37, 9.16.0 through 9.16.50, 9.18.0 through 9.18.32, 9.20.0 through 9.20.4, 9.21.0 through 9.21.3, 9.11.3-S1 through 9.11.37-S1, 9.16.8-S1 through 9.16.50-S1, and 9.18.11-S1 through 9.18.32-S1. |
| An incomplete fix was shipped for the Rapid Reset (CVE-2023-44487/CVE-2023-39325) vulnerability for an OpenShift Containers. |
| If a server hosts a zone containing a "KEY" Resource Record, or a resolver DNSSEC-validates a "KEY" Resource Record from a DNSSEC-signed domain in cache, a client can exhaust resolver CPU resources by sending a stream of SIG(0) signed requests.
This issue affects BIND 9 versions 9.0.0 through 9.11.37, 9.16.0 through 9.16.50, 9.18.0 through 9.18.27, 9.19.0 through 9.19.24, 9.9.3-S1 through 9.11.37-S1, 9.16.8-S1 through 9.16.49-S1, and 9.18.11-S1 through 9.18.27-S1. |
| The read command is used to read the keyboard input from the user, while reads it keeps the input length in a 32-bit integer value which is further used to reallocate the line buffer to accept the next character. During this process, with a line big enough it's possible to make this variable to overflow leading to a out-of-bounds write in the heap based buffer. This flaw may be leveraged to corrupt grub's internal critical data and secure boot bypass is not discarded as consequence. |
| A flaw was found in openshift-gitops-operator-container. The openshift.io/cluster-monitoring label is applied to all namespaces that deploy an ArgoCD CR instance, allowing the namespace to create a rogue PrometheusRule. This issue can have adverse effects on the platform monitoring stack, as the rule is rolled out cluster-wide when the label is applied. |
| A vulnerability has been identified in the GRUB (Grand Unified Bootloader) component. This flaw occurs because the bootloader mishandles string conversion when reading information from a USB device, allowing an attacker to exploit inconsistent length values. A local attacker can connect a maliciously configured USB device during the boot sequence to trigger this issue. A successful exploitation may lead GRUB to crash, leading to a Denial of Service. Data corruption may be also possible, although given the complexity of the exploit the impact is most likely limited. |
| gorilla/schema converts structs to and from form values. Prior to version 1.4.1 Running `schema.Decoder.Decode()` on a struct that has a field of type `[]struct{...}` opens it up to malicious attacks regarding memory allocations, taking advantage of the sparse slice functionality. Any use of `schema.Decoder.Decode()` on a struct with arrays of other structs could be vulnerable to this memory exhaustion vulnerability. Version 1.4.1 contains a patch for the issue. |
| An information disclosure flaw was found in OpenShift's internal image registry operator. The AZURE_CLIENT_SECRET can be exposed through an environment variable defined in the pod definition, but is limited to Azure environments. An attacker controlling an account that has high enough permissions to obtain pod information from the openshift-image-registry namespace could use this obtained client secret to perform actions as the registry operator's Azure service account. |
| A flaw was found in Eclipse Che che-machine-exec. This vulnerability allows unauthenticated remote arbitrary command execution and secret exfiltration (SSH keys, tokens, etc.) from other users' Developer Workspace containers, via an unauthenticated JSON-RPC / websocket API exposed on TCP port 3333. |
| A flaw was found in Tempo Operator, where it creates a ServiceAccount, ClusterRole, and ClusterRoleBinding when a user deploys a TempoStack or TempoMonolithic instance. This flaw allows a user with full access to their namespace to extract the ServiceAccount token and use it to submit TokenReview and SubjectAccessReview requests, potentially revealing information about other users' permissions. While this does not allow privilege escalation or impersonation, it exposes information that could aid in gathering information for further attacks. |
