Red Hat OpenShift AI 3.4 vulnerabilities
105 known vulnerabilities in Red Hat OpenShift AI 3.4 from Red Hat. 104 are rated high or critical, and 2 have been exploited in real attacks. Each entry lists the affected versions and the release that fixes it, where the vendor has published one.
Latest first
- 7.8 High severity
Red Hat Enterprise Linux 10: Use After Free
A flaw was found in librsvg. When processing an SVG document containing nested XML inclusions (Xincludes) with duplicate entity declarations, a use-after-free error can occur. This vulnerability arises because the library incorrectly frees an XML entity that i
- 7.8 High severity
Red Hat Enterprise Linux 10: Incorrect Authorization
A flaw was found in sudo. When sudoers rules use NOTBEFORE or NOTAFTER time-based access restrictions with timestamps that omit the trailing 'Z' timezone indicator, the time evaluation relies on the TZ environment variable inherited from the calling user. Beca
- 8.5 High severity
Red Hat Enterprise Linux 10: Release of Invalid Pointer or Reference
A flaw was found in libxml2 with Python bindings enabled. A remote attacker could exploit this vulnerability by providing a specially crafted XML document containing a Document Type Definition (DTD) with enumerated attribute values. This triggers a double-free
- 7.0 High severity
Red Hat Enterprise Linux 10: Out-of-bounds Write
A flaw was found in GDB's STABS debug format parser. The read_member_functions() function in gdb/stabsread.c contains a linked list removal bug in the code that separates destructor and non-destructor member functions of C++ classes. The bug causes the destruc
- 7.9 High severity
Red Hat OpenShift AI 3.4: Incorrect Privilege Assignment
A flaw was found in the maas-api and maas-controller ServiceAccounts within Red Hat OpenShift AI. These ServiceAccounts are granted cluster-wide permissions that exceed their operational requirements. An attacker who compromises the identity of these ServiceAc
- 8.8 High severity
Red Hat OpenShift AI 2.25: Execution with Unnecessary Privileges
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, a
- 8.8 High severity
Red Hat OpenShift AI 3.3: Privilege Defined With Unsafe Actions
A flaw was found in the Red Hat OpenShift AI (RHOAI) overlay for the training operator. The RHOAI overlay incorrectly aggregates `trainjobs` management permissions into the native Kubernetes `edit ClusterRole`. This allows any user with `edit ClusterRole` perm
- 8.8 High severity
Red Hat OpenShift AI 2.25: Incorrect Privilege Assignment
A flaw was found in odh-dashboard. An authenticated user of the dashboard can exploit a vulnerability related to how RoleBindings are created. The system does not properly validate the `roleRef` field, allowing a user to specify an arbitrary role, including hi
- 8.8 High severity
Red Hat OpenShift AI 2.25: Execution with Unnecessary Privileges
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-a
- 9.9 Critical severity
Red Hat OpenShift AI 2.25: Deserialization of Untrusted Data
A flaw was found in Feast. The system improperly deserializes user-defined functions (UDFs) stored in its registry, which are serialized using the 'dill' library. This allows a remote attacker to store a malicious UDF, leading to unauthenticated arbitrary code
- 8.5 High severity
Red Hat OpenShift AI 2.25: Missing Authorization
A flaw was found in Feast. An authorization bypass vulnerability exists in the /materialize and /materialize-incremental endpoints. By sending a specially crafted request that omits the feature_views field, an attacker can bypass intended permission checks. Th
- 7.7 High severity
Red Hat OpenShift AI 2.25: Missing Authentication for Critical Functionality
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, registr
- 7.6 High severity
Red Hat OpenShift AI 2.25: Incorrect Privilege Assignment
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, ac
- 7.1 High severity
Red Hat OpenShift AI 2.25: Authorization Bypass Through User-Controlled Key
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
- 7.5 High severity
Red Hat OpenShift AI 2.25: Allocation of Resources Without Limits or Throttling
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
- 8.8 High severity
Red Hat OpenShift AI 2.25: Improperly Controlled Modification of Dynamically-Determined Object Attributes
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
- 7.5 High severity
Red Hat OpenShift AI 2.25: Use of Cryptographically Weak Pseudo-Random Number Generator (PRNG)
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 Serv
- 8.7 High severity
Red Hat OpenShift AI 2.25: Execution with Unnecessary 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 com
- 8.0 High severity
Red Hat OpenShift AI 2.25: Missing Authentication for Critical Functionality
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 a
- 8.1 High severity
Red Hat OpenShift AI 2.25: Incorrect Privilege Assignment
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 execut
- 9.9 Critical severity
Red Hat OpenShift AI 3.4: Authentication Bypass by Spoofing
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 au
- 8.8 High severity
Red Hat OpenShift AI 3.4: Improper Access Control
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 in
- 8.8 High severity
Red Hat OpenShift AI 2.25: Origin Validation Error
A flaw was found in odh-dashboard, the web console component of Red Hat OpenShift AI (RHOAI). Due to incorrect network binding, a malicious actor within the cluster can bypass authentication and impersonate any user by providing an arbitrary access token. This
- 7.1 High severity
xdgmime: Heap-based Buffer Overflow
A flaw was found in xdgmime. A heap-based buffer overflow can be triggered in _xdg_mime_magic_parse_magic_line() in the xdgmimemagic.c file on little-endian systems when an attacker-controlled MIME magic file in a user-writable XDG data location (e.g., in the
- 7.5 High severity
Red Hat OpenShift AI 2.25: Insertion of Sensitive Information into Externally-Accessible File or Directory
A flaw was found in the vllm-orchestrator-gateway component. The system's production binary logs all incoming authorization headers and full chat payloads, which may contain personally identifiable information (PII) and secrets, to persistent logs. This sensit
- 9.3 Critical severity
Red Hat OpenShift AI 2.25: Server-Side Request Forgery
A flaw was found in the file_type content detector of guardrails-detectors. This vulnerability allows a remote attacker to supply an arbitrary XML Schema Definition (XSD) string, which is processed without proper restrictions. This can lead to server-side requ
- 9.3 Critical severity
Red Hat OpenShift AI 2.25: Server-Side Request Forgery
A flaw was found in the `guardrails-detectors` component. This vulnerability allows a remote attacker to perform a blind Server-Side Request Forgery (SSRF) by submitting a specially crafted XML Schema Definition (XSD) string. This can lead to unauthorized acce
- 9.1 Critical severity
GLib: Integer Underflow (Wrap or Wraparound)
A flaw was found in GLib. A state confusion issue exists in g_dbus_node_info_new_for_xml() in the gio/gdbusintrospection.c file when processing malformed D-Bus introspection XML, specifically with a `node` element nested within other elements like `method`, `s
- 7.5 High severity
GLib: Improper Limitation of a Pathname to a Restricted Directory
A flaw was found in GLib. The D-Bus client-side implementation of the DBUS_COOKIE_SHA1 SASL authentication mechanism does not validate the cookie_context parameter received from the server. A malicious D-Bus server can supply a cookie_context containing path t
- 8.6 High severity
GLib: Off-by-one Error
A flaw was found in GLib. An off-by-one error can occur in the g_key_file_get_locale_string_list function in the gkeyfile.c file when loading a key file with an empty value. This flaw can cause an out-of-bounds access of 1 byte or a denial of service when the
- 8.2 High severity
GLib: Buffer Over-read
A flaw was found in GLib. A buffer over-read can occur in g_io_channel_read_line_backend() in the giochannel.c file when a custom line terminator with a length greater than one is set, causing memcmp to read past the GString buffer. This vulnerability can caus
- 8.2 High severity
GLib: Buffer Over-read
A flaw was found in GLib. A buffer over-read can occur in the g_regex_replace function when used with the `G_REGEX_RAW` compile flag and case-change replacement escapes because the string_append function processes matched substrings using UTF-8 functions that
- 7.5 High severity
GLib: Out-of-bounds Read
A flaw was found in GLib. An out-of-bounds read of only 2 bytes can occur in the g_date_time_get_ymd function in the glib/gdatetime.c file when an invalid GDateTime object produced by the g_date_time_add_full function is processed. This flaw can corrupt the da
- 8.2 High severity
GLib: Buffer Over-read
A flaw was found in GLib. An off-by-one error can occur in the gvs_tuple_is_normal function in the glib/gvariant-serialiser.c file when doing an alignment padding check because the bounds check uses > instead of >=, causing an out-of-bounds read of only 1 byte
- 7.5 High severity
Red Hat Enterprise Linux 10: Double Free
A double free issue has been identified in libarchive's RAR5 reader. During parsing of a specially crafted RAR5 archive, the filtered_buf pointer may remain stale after being freed during unpacking state reinitialization. Subsequent processing of another archi
- 7.3 High severity
Red Hat Enterprise Linux 10: Heap-based Buffer Overflow
A flaw was found in libtiff. A remote attacker could exploit this vulnerability by providing a specially crafted PixarLog-compressed TIFF image. This issue occurs when decoding Pixarlog codec images with the PIXARLOGDATAFMT_8BITABGR output format and a specifi
- 7.5 High severity
fast-uri: Interpretation Conflict
fast-uri versions 2.3.1 through 3.1.2 and 4.0.0 fail to canonicalize Unicode (IDN) hostnames for HTTP-family URLs. The IDN conversion path calls a helper that does not exist on the global URL constructor, silently leaving the host in its original Unicode form
- 8.6 High severity
FFmpeg: Out-of-bounds Write
FFmpeg's RASC video decoder (decode_dlta in libavcodec/rasc.c) performs 32-bit reads and writes at the row cursor before the NEXT_LINE row-boundary check and validates the DLTA region in pixel rather than byte units, so a DLTA run on a PAL8 frame can access se
- 7.5 High severity
mistune: Uncontrolled Resource Consumption
Mistune is a Python Markdown parser with renderers and plugins. Prior to 3.3.0, Mistune is vulnerable to a CPU exhaustion DoS due to superlinear (approximately O(n²)) behavior in parse_link_text. When parsing Markdown containing many consecutive [ characters,
- 7.5 High severity
docling: Improper Restriction of Recursive Entity References in DTDs
Docling simplifies document processing by parsing diverse formats and providing integrations with the generative AI ecosystem. From 2.13.0 until 2.74.0, the USPTO patent XML parser used the standard xml.sax.parseString() without protection against XML External