Red Hat OpenShift AI 2.25 vulnerabilities
119 known vulnerabilities in Red Hat OpenShift AI 2.25 from Red Hat. 119 are rated high or critical, and 1 has 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
- 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 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
- 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
- 7.5 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
vllm: Inconsistent Interpretation of HTTP Requests
vLLM is an inference and serving engine for large language models (LLMs). From 0.3.0 until 0.22.0, a vulnerability in ASGI web servers and starlette's trust on those web servers enables an authentication bypass of the OpenAI API AuthenticationMiddleware. It al
- 7.5 High severity
nltk: Improper Limitation of a Pathname to a Restricted Directory
NLTK (Natural Language Toolkit) is a suite of open source Python modules, data sets, and tutorials supporting research and development in Natural Language Processing. Prior to 3.10.0-rc1, nltk.data.load() in NLTK is vulnerable to path traversal via URL-encoded
- 7.4 High severity
undici: Improper Certificate Validation
Impact: undici's ProxyAgent silently drops the requestTls option when configured with a SOCKS5 proxy URI (socks5:// or socks://). The target HTTPS connection through the SOCKS5 tunnel falls back to Node's default trust store, ignoring user-configured ca, cert,
- 8.8 High severity
undici: Origin Validation Error
Impact: When using Socks5ProxyAgent, undici reuses a single connection pool across different origins without verifying that the pool's origin matches the requested origin. All requests are dispatched through the pool connected to the first origin, regardless o
- 7.5 High severity
undici: Uncontrolled Resource Consumption
Impact: The undici WebSocket client enforces maxPayloadSize on the cumulative byte count of fragments in a message but does not enforce a limit on the number of fragments. A malicious WebSocket server can stream many small or empty continuation frames that eac
- 7.5 High severity
ws: Uncontrolled Resource Consumption
ws is an open source WebSocket client and server for Node.js. All versions from 1.1.0 up to (but not including) 5.2.5, from 6.0.0 up to 6.2.4, from 7.0.0 up to 7.5.11, and from 8.0.0 up to 8.21.0 are affected by a memory exhaustion DoS vulnerability. A peer ca
- 7.5 High severity
netty: Improper Verification of Cryptographic Signature
Netty is a network application framework for development of protocol servers and clients. Prior to versions 4.1.135.Final and 4.2.15.Final, SimpleTrustManagerFactory.engineGetTrustManagers() and related paths wrap any user-supplied plain X509TrustManager in X5
- 7.5 High severity
netty: Missing Release of Memory after Effective Lifetime
Netty is a network application framework for development of protocol servers and clients. Prior to versions 4.1.135.Final and 4.2.15.Final, the HAProxy PROXY protocol v2 codec in netty leaks native or heap memory on every connection when a client sends a synta
- 7.5 High severity
netty: Uncontrolled Resource Consumption
Netty is a network application framework for development of protocol servers and clients. In netty-codec-http2 prior to versions 4.1.135.Final and 4.2.15.Final, the `DelegatingDecompressorFrameListener` class orchestrates HTTP/2 decompression by embedding a pe
- 10.0 Critical severity
netty: Insufficient Verification of Data Authenticity
Netty is a network application framework for development of protocol servers and clients. Prior to versions 4.1.135.Final and 4.2.15.Final, Netty's `DnsResolveContext` insufficiently validates the bailiwick of NS records, enabling DNS Cache Poisoning. An attac
- 10.0 Critical severity
netty: Insufficient Verification of Data Authenticity
Netty is a network application framework for development of protocol servers and clients. Prior to versions 4.1.135.Final and 4.2.15.Final, Netty's DnsResolveContext fails to validate the origin (bailiwick) of CNAME records in DNS responses. Versions 4.1.135.F
- 7.5 High severity
netty: Allocation of Resources Without Limits or Throttling
Netty is a network application framework for development of protocol servers and clients. Prior to versions 4.1.135.Final and 4.2.15.Final, SslClientHelloHandler.decode() reads the 24-bit TLS handshake length and, when the ClientHello does not fit in the first
- 7.5 High severity
netty: Improper Check or Handling of Exceptional Conditions
Netty is a network application framework for development of protocol servers and clients. In netty-codec-haproxy prior to versions 4.1.135.Final and 4.2.15.Final, when decoding a PP2_TYPE_SSL TLV, HAProxyMessage.readNextTLV() first calls `header.retainedSlice(
- 8.1 High severity
netty: Improper Access Control
Netty is a network application framework for development of protocol servers and clients. In netty-handler prior to versions 4.1.135.Final and 4.2.15.Final, an attacker can bypass IPv6 subnet rules due to an incorrect masking operation in IpSubnetFilterRule.co
- 8.1 High severity
keras-team/keras: Improper Limitation of a Pathname to a Restricted Directory
Keras versions prior to 3.14.0 are vulnerable to a path traversal issue in the archive extraction utilities located in `keras/src/utils/file_utils.py`. The functions `filter_safe_tarinfos()` and `filter_safe_zipinfos()` validate archive member paths against th
- 9.6 Critical severity
huggingface/transformers: Inclusion of Functionality from Untrusted Control Sphere
A vulnerability in the LightGlue model loading path of huggingface/transformers version 5.2.0 allows an attacker-controlled model repository to execute arbitrary code during model initialization. The issue arises because the `trust_remote_code` parameter, inte
- 7.5 High severity
crypto/x509: Unchecked Input for Loop Condition
(*x509.Certificate).VerifyHostname previously called matchHostnames in a loop over all DNS Subject Alternative Name (SAN) entries. This caused strings.Split(host, ".") to execute repeatedly on the same input hostname. With a large DNS SAN list, verification co
- 7.3 High severity
aiohttp: Deserialization of Untrusted Data
AIOHTTP is an asynchronous HTTP client/server framework for asyncio and Python. Prior to version 3.14.0, using ``CookieJar.load()`` with untrusted input may allow arbitrary code execution. Most applications using this function will be doing so with the user's
- 7.4 High severity
pyjwt: Improper Authentication
PyJWT is a JSON Web Token implementation in Python. Prior to 2.13.0, when the verifier is decoding JSON Web Tokens, while supporting both asymmetric and HMAC algorithms, the library does not validate use of JSON Web Keys in HMAC algorithm, allowing attacker to
- 7.4 High severity
golang.org/x/crypto/ssh/knownhosts: Improper Certificate Validation
Previously, a revoked 'SignatureKey' belonging to a CA was not correctly checked for revocation. Now, both the 'key' and 'key.SignatureKey' are checked for @revoked.
- 7.5 High severity
golang.org/x/crypto/ssh: Improper Certificate Validation
SSH servers which use CertChecker as a public key callback without setting IsUserAuthority or IsHostAuthority could be caused to panic by a client presenting a certificate. CertChecker now returns an error instead of panicking when these callbacks are nil.
- 7.5 High severity
golang.org/x/crypto/ssh: Improper Verification of Cryptographic Signature
The RSA and DSA public key parsers did not enforce size limits on key parameters. A crafted public key with an excessively large modulus or DSA parameter could cause several minutes of CPU consumption during signature verification. This could be triggered by u