Export limit exceeded: 375173 CVEs match your query. Please refine your search to export 10,000 CVEs or fewer.

Search

Search Results (375173 CVEs found)

CVE Vendors Products Updated CVSS v3.1
CVE-2026-19411 1 Redhat 1 Enterprise Linux 2026-08-10 3.9 Low
A NULL pointer vulnerability has been found in the the shim application of dp.c library. A missing NULL pointer could allow attackers to perform a denial of service attack on a system that uses shim application for UEFI bootloader.
CVE-2026-18620 1 Redhat 1 Openshift Ai 2026-08-10 7.1 High
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.
CVE-2026-18618 1 Redhat 1 Openshift Ai 2026-08-10 7.5 High
A flaw was found in ml-metadata. The statically-linked gRPC stack in ml-metadata is outdated, making it vulnerable to known HTTP/2 denial of service (DoS) issues. An in-cluster attacker, with network access to the MLMD pod, could exploit these vulnerabilities by sending specially crafted HTTP/2 requests. This could lead to a denial of service by crashing the MLMD pod, disrupting all pipeline runs in the affected namespace.
CVE-2026-18611 1 Redhat 1 Openshift Ai 2026-08-10 7.5 High
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.
CVE-2026-63622 1 Redhat 2 Enterprise Linux, Enterprise Linux Nvidia 2026-08-10 7.8 High
A flaw was found in libvirt. A local attacker, specifically a process running as the confined `swtpm` user, could exploit a symlink-following vulnerability in the `virFileChownFiles()` function. By planting a symbolic link within the `swtpm` state directory, the attacker could trick the root-level libvirt daemon into changing the ownership of an arbitrary file to the `swtpm` user. This allows for privilege escalation from the `swtpm` sandbox to root-level file ownership control.
CVE-2026-18982 1 Redhat 1 Openshift Ai 2026-08-10 8.8 High
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.
CVE-2026-72905 2026-08-10 N/A
Further research determined the issue is not a vulnerability.
CVE-2026-18949 1 Redhat 1 Openshift Ai 2026-08-10 8.8 High
A flaw was found in odh-dashboard. This vulnerability allows an attacker, who has compromised the dashboard's Service Account (SA) token, to exploit overly broad permissions granted to the SA. This enables the attacker to escalate their privileges to cluster-administrator level, gain access to sensitive data like credentials and keys across the entire cluster, and disrupt multi-tenant isolation.
CVE-2026-18941 1 Redhat 1 Openshift Ai 2026-08-10 7.7 High
A flaw was found in Feast and feast-operator. The default configuration for both the Feast SDK and the feast-operator is "no_auth," meaning no security manager is installed. This default allows unauthenticated and unauthorized access to feature-server, registry-server, and offline-server endpoints. A remote attacker, by exploiting this missing authentication, could achieve remote code execution (RCE) by storing a malicious User-Defined Function (UDF) on the feature-server, trigger a denial of service (DoS) by forcing re-materialization of all tenant features, and gain unauthorized access to cross-tenant data.
CVE-2026-18621 1 Redhat 2 Ai Inference Server, Openshift Ai 2026-08-10 7.6 High
A flaw was found in Data Science Pipelines (DSP). An attacker with namespace editor privileges can bypass security hardening by submitting a malicious Argo Workflow through the V1 API path. This allows the API server to create pods with elevated privileges, acting as a 'confused deputy' on behalf of the attacker. Successful exploitation grants the attacker node-root access, enabling arbitrary code execution and full control over the underlying node.
CVE-2026-18617 1 Redhat 1 Openshift Ai 2026-08-10 8.8 High
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.
CVE-2026-18608 1 Redhat 1 Openshift Ai 2026-08-10 8.7 High
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.
CVE-2026-16456 1 Redhat 1 Openshift Ai 2026-08-10 6.5 Medium
A flaw was found in the `odh-model-controller`. An authenticated user with permissions to create custom resources can exploit a vulnerability in the `loadSecret` function. This function improperly reads the Secret namespace from user-controlled input without validation. This allows an attacker to read sensitive API keys and cloud credentials from other namespaces, leading to information disclosure.
CVE-2026-15581 1 Redhat 1 Openshift Ai 2026-08-10 8 High
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.
CVE-2026-15467 1 Redhat 1 Openshift Ai 2026-08-10 8.1 High
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.
CVE-2026-14450 1 Redhat 1 Openshift Ai 2026-08-10 9.9 Critical
A flaw was found in the MaaS API. This vulnerability allows any pod within the cluster to bypass the Kuadrant AuthPolicy gateway by forging HTTP headers, specifically `X-MaaS-Username` and `X-MaaS-Group`, which are trusted verbatim. This lack of first-party authentication enables an attacker to gain unauthorized access and escalate privileges. The concrete consequences include the ability to mint Kubernetes ServiceAccount tokens in other tenants' namespaces, revoke API keys, and exfiltrate sensitive model access configuration.
CVE-2026-13717 1 Redhat 1 Openshift Ai 2026-08-10 8.8 High
A flaw was found in the Red Hat OpenShift AI (RHOAI) MaaS Gateway. Improper configuration of the Gateway in a model-serving context allows a standard user with low privileges to intercept, read, log, and alter all MaaS model traffic. This includes sensitive information such as access keys, input prompts, and outputs, leading to significant information disclosure and data tampering.
CVE-2026-72904 2026-08-10 N/A
Firecrawl turns entire websites into LLM-ready markdown or structured data. Prior to 2.11.32, a critical arbitrary file read vulnerability exists in Firecrawl's extraction functionality due to unsafe schema dereferencing of user-supplied JSON schemas in apps/api/src/lib/extract/helpers/dereference-schema.ts. The affected code invokes the json-schema-ref-parser dependency with default resolver settings, allowing external and local file references to be resolved during schema processing. An authenticated attacker can supply a malicious schema containing a $ref within default, const, or enum fields that are not traversed by AJV validation. By triggering a dereference error, file contents from the extract worker filesystem may be included in persisted error messages returned through the extraction API, enabling arbitrary file reads and SSRF against internal or external HTTP endpoints. This issue is fixed in version 2.11.32.
CVE-2026-72903 2026-08-10 8.1 High
Tabby (formerly Terminus) is a highly configurable terminal emulator. Prior to 1.0.235, a malicious SFTP server can return a backslash traversal filename through entry.name. In tabby-ssh/src/session/sftp.ts, SFTPSession.readdir() and _makeFile() use POSIX path processing that preserves the backslashes as ordinary filename characters. In tabby-ssh/src/components/sftpPanel.component.ts, downloadFolderRecursive() propagates item.name into the local relative path. In tabby-electron/src/services/platform.service.ts, ElectronDirectoryDownload.createFile() passes that path to Windows-native path.join(), and in tabby-electron/src/sftpContextMenu.ts, EditSFTPContextMenu.edit() passes item.name to path.join() for the temporary edit path. Windows interprets the preserved backslashes and parent-directory components as traversal, allowing attacker-controlled content to be created or overwritten outside the selected download directory or temporary edit directory. This issue is fixed in version 1.0.235.
CVE-2026-11809 2026-08-10 3.7 Low
The UpdateHub OTA client in subsys/mgmt/updatehub/updatehub.c contains an out-of-bounds / uninitialized-memory read in z_impl_updatehub_probe(). The probe response from the UpdateHub server is copied into a heap buffer (metadata) that is correctly NUL-terminated, but a second buffer (metadata_copy) is allocated with k_malloc (unzeroed) and filled with memcpy(metadata_copy, metadata, strlen(metadata)), which omits the terminating NUL. Everything after the copied content remains uninitialized heap. When the first json_obj_parse() over the array descriptor fails, the code falls back to json_obj_parse(metadata_copy, strlen(metadata_copy), ...). The strlen() call scans past the copied bytes through uninitialized heap and, if no zero byte is found before the end of the allocation, reads beyond the buffer; the resulting over-long length is then parsed as JSON. The probe payload is fully controlled by the (malicious, compromised, or — without the optional CONFIG_UPDATEHUB_DTLS — on-path) UpdateHub server, which can craft a large payload that fails the first parse to drive this path. The consequence is a read of uninitialized heap, with a worst case of an out-of-bounds read past the metadata_copy allocation that can fault and crash the update thread/device, producing a network-triggerable denial of service. The over-read data is consumed only internally to evaluate the update and is not returned to the attacker, so there is no direct information disclosure and no out-of-bounds write. The fix zeroes metadata_copy with memset before the copy, guaranteeing NUL termination and bounding strlen() within the allocation.