Apache Data & Analytics (Spark/Hadoop/Gravitino) Vulnerabilities & Security Advisories
33 advisories tracked · ASF Security ([email protected] CNA) via NVD · 0 listed in the CISA Known Exploited Vulnerabilities catalog
Every row below is a published Apache Software Foundation advisory that VulniPulse classified as Data & Analytics (Spark/Hadoop/Gravitino), with the CVEs, affected and fixed releases and exploitation status the vendor stated. Severity mix: 6 critical, 12 high, 13 medium.
Source
ASF Security ([email protected] CNA) via NVD
The Apache Software Foundation is its own CVE Numbering Authority: every Apache project CVE (HTTP Server, Tomcat, ActiveMQ, Struts, Kafka, Airflow, OFBiz, Solr and 300+ more) is published by [email protected] and announced on the projects' mailing lists. VulniPulse ingests the CNA feed from NVD filtered to [email protected] — official, machine-readable, with affected/fixed versions embedded in each description. Per-project security pages (httpd.apache.org/security, tomcat.apache.org/security-XX.html) carry the vendor detail.
Latest Apache Data & Analytics (Spark/Hadoop/Gravitino) advisories
Medium [CVE-2026-82440] Nimbus instantiates the class named by a topology's `topology.scheduler.strategy` when scheduling it
Nimbus instantiates the class named by a topology's `topology.scheduler.strategy` when scheduling it. allowlist intended to constrain that choice, `nimbus.scheduler.strategy.class.whitelist`, was treated as "allow any class" when unset, and it had no entry in the shipped `defaults.yaml`, so unset was the shipped state. An authenticated submitter could therefore cause Nimbus to instantiate any class on the Nimbus classpath that has a no-argument constructor. Storm's own production artifacts contain classes with side effects suitable for this: instantiating `org.apache.storm.testing.InProcessZookeeper` starts a ZooKeeper server with its own threads and sockets and nothing closes it, and `org.apache.storm. LocalCluster` behaves similarly. Repeated submissions therefore consume threads, sockets and memory in the most privileged daemon in the cluster. Affected product named by the advisory: Apache Storm Nimbus.
High [CVE-2026-100302] Allocation of Resources Without Limits or Throttling in the multiRead request handler of Apache ZooKeeper allows a remote attacker to crash the server (denial of service) with a single small request
Allocation of Resources Without Limits or Throttling in the multiRead request handler of Apache ZooKeeper allows a remote attacker to crash the server (denial of service) with a single small request. The multiRead handler places no limit on the number of bundled read operations or on the cumulative size of the response it builds in memory. Because each operation's result is fully materialized and retained before serialization, a request that is small on the wire — within the jute.maxbuffer limit — but that references a large znode many times can force the server to allocate far more heap than the request size implies, exhausting the JVM heap and terminating the server with an OutOfMemoryError. Neither jute.maxbuffer nor largeRequestMaxBytes prevents this, as both bound only the inbound request, not the response. This issue affects Apache ZooKeeper from 3.7.0 through 3.9.6. Users are recommended to upgrade to version 3.9.7, which enforces configurable limits on the multiRead operation count and cumulative response size.
High [CVE-2026-115448] Apache ZooKeeper: Unbounded recursion in snapshot serialization allows a client to render the server unrecoverable
Uncontrolled recursion in Apache ZooKeeper. The server serializes its data tree to a snapshot by recursing one stack frame per znode level, with no depth bound. A client permitted to create znodes (the default root ACL is open) can build a chain of nested znodes deep enough that taking a snapshot exhausts the JVM stack and kills the snapshot thread; sizes stay within jute.maxbuffer, so existing limits do not prevent it. This is a denial of service that becomes persistent: on restart the server rebuilds the deep tree from its transaction log and fails again while taking the startup snapshot, so it does not return to service, and recovery can entail data loss. The same log affects a leader and its followers, so it can spread across an ensemble. This issue affects Apache ZooKeeper 3.8.0 through 3.8.7 and 3.9.0 through 3.9.6. Users are recommended to upgrade to 3.8.8 or 3.9.7, which fix the issue. As a workaround, use ACLs and authentication to restrict znode creation rather than relying on the default open root ACL.
High [CVE-2026-100300] Improper handling of exceptional conditions in the quota subsystem of Apache ZooKeeper allows an attacker able to write under the /zookeeper/quota subtree — unauthenticated on default deployments, where that subtree is world-writable — to crash the server's critical request-processing thread and render the on-disk data directory permanently unbootable
Improper handling of exceptional conditions in the quota subsystem of Apache ZooKeeper allows an attacker able to write under the /zookeeper/quota subtree — unauthenticated on default deployments, where that subtree is world-writable — to crash the server's critical request-processing thread and render the on-disk data directory permanently unbootable. This issue affects Apache ZooKeeper up to and including 3.9.6. Users are recommended to upgrade to version 3.8.8 or 3.9.7, which fixes the issue.
High [CVE-2026-100252] Improper Authorization vulnerability in Apache ZooKeeper
Improper Authorization vulnerability in Apache ZooKeeper. When SASL authentication is enabled on the client port, the server's SASL callback handler grants every authorization identity (authzid) that a client requests, without checking it against the principal the client authenticated as. The server then tries to replace the requested identity with a canonical form of the authenticated principal, derived from the zookeeper.security.auth_to_local rules. If no rule applies to the principal, canonicalization fails and the error is only logged. The client-requested authzid then becomes the session's SASL identity for all ACL checks. An authenticated client whose principal is not covered by the auth_to_local rules can therefore claim any SASL identity. With the default rules, this includes any Kerberos principal from a realm other than the server's default realm, such as a principal from a cross-realm trusted realm. The client then gets the permissions granted to that identity in sasl ACLs. If the requested identity matches a configured zookeeper.superUser, it gets superuser access to the whole data tree. Users are recommended to upgrade to version 3.8.8 or 3.9.7, which fixes the issue.
Medium [CVE-2026-100235] Apache ZooKeeper: ACL enforcement bypass allows unauthorized operations to commit after an ACL revocation
Incorrect authorization due to a time-of-check to time-of-use (TOCTOU) race condition in the setACL request handling of Apache ZooKeeper. When a node's ACL is changed via setACL, the pending change is not published to the server's outstanding change record for that node. Any request that is prepared (and authorized) after the setACL is submitted but before it commits is therefore checked against the previous, pre-revocation ACL, yet is applied to the data tree after the ACL change has taken effect. A client that currently holds a permission can use this window to perform operations requiring that permission through and after its revocation — for example, committing writes or deletes after losing write access, or re-granting itself full permissions, which persistently defeats the revocation. In deployments transitioning from the default OPEN_ACL_UNSAFE ACL to a restrictive ACL, any unauthenticated client can exploit this during the transition. This issue affects Apache ZooKeeper up to and including 3.9.6. Users are recommended to upgrade to version 3.8.8 or 3.9.7, which fixes the issue.
High [CVE-2026-79993] Apache ZooKeeper: The `deleteContainer` opcode (0x14/20) is processed without verifying the caller's ACL permissions, allowing any authenticated client to delete specific znodes in the data tree regardless of the ACL restrictions on the znode or its parent
The `deleteContainer` opcode (0x14/20) is processed without verifying the caller's ACL permissions, allowing any authenticated client to delete specific znodes in the data tree regardless of the ACL restrictions on the znode or its parent. This opcode is considered internal-only and the official client doesn't have API for it, but a client that can open a plain TCP session on the ZooKeeper client port (2181 by default) - with NO authentication and NO ACL permissions - can delete any empty persistent znode (including regular persistent nodes, container nodes, and TTL nodes) by issuing the raw protocol OpCode deleteContainer (20). The deleteContainer request path completely skips both the session check and the DELETE ACL check that are enforced by the regular delete (OpCode 2) path. This is an authorization bypass / ACL enforcement bug. This issue affects Apache ZooKeeper: from 3.9.0 through 3.9.5, from 3.8.0 through 3.8.6. Users are recommended to upgrade to version 3.9.6 or 3.8.7, which fixes the issue.
High [CVE-2026-59969] Apache ZooKeeper quorum TLS fails to enforce peer hostname verification in FIPS-mode deployments
Apache ZooKeeper quorum TLS fails to enforce peer hostname verification in FIPS-mode deployments. When sslQuorum=true, zookeeper.fips-mode=true, ssl.quorum.hostnameVerification=true, and ssl.quorum.clientHostnameVerification=true are enabled, the Java SSLSocket quorum path accepts a CA-trusted peer certificate whose SAN does not match the connected host. A malicious or misissued peer certificate can therefore join quorum traffic, participate in leader election, and enter replication flows. Users are recommended to upgrade to version 3.8.7 or 3.9.6, which fixes the issue.
High [CVE-2024-23944 +1] Information disclosure via SetWatches reconnect replay in Apache ZooKeeper due to missing ACL check
Information disclosure via SetWatches reconnect replay in Apache ZooKeeper due to missing ACL check. An attacker can discover ACL-restricted paths by registering exists-watches on non-existent paths, then reconnecting after the paths are created with restricted ACLs. Issue is caused by incomplete fix for CVE-2024-23944 (ZOOKEEPER-4799). The fix added ACL checking to WatchManager.triggerWatch(). However, DataTree.setWatches() — the SetWatches/SetWatches2 reconnect replay handler — still calls watcher.process(event) with null ACL, bypassing the check entirely. It's important to note that only the path is exposed by this vulnerability, not the data of znode, but since znode path can contain sensitive information like user name or login ID, this issue is potentially critical. Users are recommended to upgrade to version 3.9.6, 3.8.7 which fixes the issue.
Medium [CVE-2026-84501] unauthenticated attacker can inject arbitrary fake log lines into Apache ZooKeeper's operational log by sending a crafted add_auth("ensemble",...) request containing newline characters (\n)
An unauthenticated attacker can inject arbitrary fake log lines into Apache ZooKeeper's operational log by sending a crafted add_auth("ensemble",...) request containing newline characters (\n). When the ensemble name doesn't match, EnsembleAuthenticationProvider.handleAuthentication() logs the raw, unsanitized name via LOG.warn(). Because SLF4J's {} placeholder preserves embedded newlines, the attacker can forge complete log entries — with arbitrary timestamps, log levels, class names, and messages — that are visually indistinguishable from genuine ZooKeeper log output. This issue affects Apache ZooKeeper: from 3.9.0 through 3.9.5, from 3.8.0 through 3.8.6. Users are recommended to upgrade to version 3.8.7 or 3.9.6, which fixes the issue.
Medium [CVE-2026-84439] When audit logging is enabled (zookeeper.audit.enable=true), an unauthenticated attacker can inject arbitrary fields into Apache ZooKeeper's audit log by sending a digest authentication request with tab characters (\t) embedded in the username
When audit logging is enabled (zookeeper.audit.enable=true), an unauthenticated attacker can inject arbitrary fields into Apache ZooKeeper's audit log by sending a digest authentication request with tab characters (\t) embedded in the username. Because the audit log uses tab-separated key=value format, the injected tabs are parsed as legitimate field separators, allowing the attacker to spoof audit results (e.g., injecting result=success), forge operation types, and corrupt forensic evidence. A log injection vulnerability in Apache ZooKeeper allows a client that can call setACL to inject forged key-value fields into zookeeper_audit.log. When audit logging is enabled, the server serializes attacker-controlled digest ACL ids into the acl= audit field without escaping tab characters. Because audit events are emitted as tab-separated key=value records, a crafted ACL id can make one successful setAcl event appear to contain forged fields such as operation=delete and znode=/forged. This undermines the integrity of downstream audit parsing, alerting, and incident response. This issue affects Apache ZooKeeper: from 3.9.0 through 3.9.5, from 3.8.0 through 3.8.6. Users are recommended to upgrade to version 3.9.6 or 3.8.7, which fixes the issue.
Critical [CVE-2026-82434] Apache Storm: Description When ZooKeeper authentication is configured, Storm deliberately retains `storm.zookeeper.topology.auth.payload` in the topology configuration, because workers need it
When ZooKeeper authentication is configured, Storm deliberately retains `storm.zookeeper.topology.auth.payload` in the topology configuration, because workers need it. Nimbus then served that configuration verbatim to any caller holding read-only topology permissions, so a user whose only grant was the ability to view a topology received its ZooKeeper credential. That credential is not read-only. The cluster state implementation uses write-capable ACLs for worker heartbeats, backpressure and error state, so a recipient can forge or remove that state for the topology concerned. It is not a write credential on assignments. The same advisory covers the submission client, which logged the generated payload at INFO on every submission that generated one, and the SASL handlers, which logged it at DEBUG. The credential therefore also reached any log aggregation or support bundle collected from the cluster. Affected product named by the advisory: Apache Storm.
High [CVE-2026-82429] Apache Storm: Description The setuid-root `worker-launcher` binary adjusts ownership and permissions of worker directories by walking the tree with FTS and calling `lchown` and `chmod` on each entry's full pathname while running with an effective uid of 0
The setuid-root `worker-launcher` binary adjusts ownership and permissions of worker directories by walking the tree with FTS and calling `lchown` and `chmod` on each entry's full pathname while running with an effective uid of 0. Both syscalls re-resolve the path at the time of the call, after FTS has classified the entry, and the trees being walked are owned and writable by the untrusted topology user. A tenant running code on a supervisor node could therefore replace an intermediate directory component with a symbolic link between classification and the privileged operation, redirecting the root-owned `lchown` or `chmod` at an arbitrary file on the host. The operation is repeatable at will, since crashing a worker forces a relaunch and blob updates re-run the walk, so a failed attempt costs the attacker nothing. This crosses the boundary that `supervisor.run.worker.as.user` and container isolation are intended to enforce. It is the same defect class as the Hadoop container-executor issues from which this code derives. Affected product named by the advisory: Apache Storm.
Medium [CVE-2026-82433] Apache Storm: Description `getNimbusConf` returned the complete daemon configuration without redaction after only a user-level authorization check
`getNimbusConf` returned the complete daemon configuration without redaction after only a user-level authorization check. Where the cluster is configured with them, that response includes `storm.zookeeper.auth.payload` and the keystore and truststore passwords for the Thrift, Netty ZooKeeper TLS configuration. The project masks passwords elsewhere before display, so the omission here is inconsistent rather than intended. The UI endpoint `/api/v1/cluster/configuration` compounded this. It carried no `@AuthNimbusOp` annotation, and the authorization filter treated a missing annotation as "no gate required" and returned immediately, so the endpoint applied no per-user check at all and proxied the request under the UI daemon's own principal. Any user able to pass `ui.filter` therefore received the full configuration, including principals that Nimbus itself would have refused. Affected product named by the advisory: Apache Storm.
Medium [CVE-2026-82426] Apache Storm PMC: Description Nimbus accepted the `uploadedJarLocation` argument of `submitTopology` / `submitTopologyWithOpts` as a server-side path and opened it directly, without checking that it referred to a file the caller had actually uploaded
Nimbus accepted the `uploadedJarLocation` argument of `submitTopology` / `submitTopologyWithOpts` as a server-side path and opened it directly, without checking that it referred to a file the caller had actually uploaded. The intended flow is that a client first calls `beginFileUpload`, which returns a path inside the Nimbus inbox, and uploads the jar in chunks to that location; nothing bound submission to that flow, and the `uploaders` map populated by `beginFileUpload` was never consulted at submit time. An authenticated user with topology submission rights could therefore submit any path readable by the Nimbus daemon user as their topology jar. Nimbus copied the file into the topology's jar blob, and the blob ACL grants the submitting subject read access, so the contents could then be retrieved with the ordinary blob download RPCs. Candidate targets include the Nimbus Kerberos keytab, Thrift and UI TLS private keys, and `storm.yaml` with the ZooKeeper authentication payload. turns an ordinary tenant into a cluster administrator. In a deployment configured as the documentation recommends, submission is available to every authenticated principal when `nimbus.users` is unset, so no elevated privilege is required. Affected product named by the advisory: Apache Storm PMC.
Medium [CVE-2026-84179] Apache Security Team: Description getTopologyPageInfo merged the Nimbus daemon configuration with the topology's own configuration and returned the result without redaction in the topology_conf field of TopologyPageInfo
getTopologyPageInfo merged the Nimbus daemon configuration with the topology's own configuration and returned the result without redaction in the topology_conf field of TopologyPageInfo. The Storm UI copied that value verbatim into the configuration field of GET /api/v1/topology/{id} and of the corresponding metrics endpoint. Where the cluster is configured with them, the merged map includes storm.zookeeper.auth.payload, which Storm's own documentation directs operators to keep in storm-cluster-auth.yaml under permissions that deny access from workers, together with the keystore and truststore passwords for the Thrift, Netty and ZooKeeper TLS configuration, and any plugin key whose name denotes a secret. getTopologyPageInfo is a topology read-only operation. Under SimpleACLAuthorizer a principal listed in topology.readonly.users or topology.readonly.groups could therefore read daemon credentials that the dedicated cluster configuration API, getNimbusConf, redacts and that is gated on nimbus.users instead. The sibling operations that exist to serve configuration were masked; the topology page, which merges in strictly more daemon state, was not. Affected product named by the advisory: Apache Security Team.
High [CVE-2026-57866] Server side request forgery in Apache Impala versions 4.4.x and 4.5.x
Server side request forgery in Apache Impala versions 4.4.x and 4.5.x. Authenticated Impala users with permissions to execute the ai_generate_text() function can exfiltrate secrets provided by the credential providers configured in the `hadoop.security.credential.provider.path` property of `core-site.xml`. The secret's key must be known to the user.
High [CVE-2026-52691] ** UNSUPPORTED WHEN ASSIGNED ** Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') vulnerability in Apache Griffin Hive Metastore Module
- * UNSUPPORTED WHEN ASSIGNED ** Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') vulnerability in Apache Griffin Hive Metastore Module. This issue affects Apache Griffin Hive Metastore Module: all versions. As this project is retired, we do not plan to release a version that fixes this issue. Users are recommended to find an alternative or restrict access to the instance to trusted users. NOTE: This vulnerability only affects products that are no longer supported by the maintainer.
Medium [CVE-2026-32773] There is a lack of XSS escaping in the Spark History Server prior to 3.5.8 which allows a malicious Spark job to generate arbitrary unescaped frontend code which could lead to a minimal privilege escalation in browser
There is a lack of XSS escaping in the Spark History Server prior to 3.5.8 which allows a malicious Spark job to generate arbitrary unescaped frontend code which could lead to a minimal privilege escalation in browser. Users are encouraged to upgrade to Spark 3.5.8 or later. This CVE is marked as "low" since the path to exploit requires both relatively high permissions (ability to launch a Spark job) and requires tricking a user with higher permissions to log in and visit the Spark history web page. Affected product named by the advisory: Apache Spark.
Critical [CVE-2026-49845] SQL injection in Hive Metastore direct SQL partition-name resolution in Apache Hive before 4.2.1 on all platforms allows authenticated users with access to Hive Metastore APIs to read, modify, or affect unintended partition metadata (including statistics updates, truncation targets, and file-metadata cache operations) via crafted partition names in metastore RPC requests when direct SQL is enabled (the default)
SQL injection in Hive Metastore direct SQL partition-name resolution in Apache Hive before 4.2.1 on all platforms allows authenticated users with access to Hive Metastore APIs to read, modify, or affect unintended partition metadata (including statistics updates, truncation targets, and file-metadata cache operations) via crafted partition names in metastore RPC requests when direct SQL is enabled (the default). Users are recommended to upgrade to version 4.2.1, which fixes this issue. Details about the issue: Several Hive Metastore RPCs resolve partitions by full partition name (PART_NAME) through direct-SQL helpers. In those paths, client-supplied partition names are embedded into SQL using string concatenation (DirectSqlUpdatePart.quoteString() → '...') instead of bind parameters. A partition name containing a single quote (and crafted SQL) can alter the generated WHERE clause so that lookups intended for one partition match additional rows. That can affect reads, stats updates, truncate targets, metadata-cache targets, and related operations when metastore.try.direct.sql is enabled (default: true). An authenticated or network-trusted caller with the ability to invoke Hive Metastore partition-name APIs against a target table (directly or via Hive/other clients), when direct SQL is enabled can perform this attack.
Critical [CVE-2026-55976] Server-Side Request Forgery (SSRF) in Avro SerDe schema resolution in Apache Hive before 4.2.1 allows an authenticated remote attacker with CREATE TABLE privilege to cause the Hive server to fetch an attacker-controlled URL when resolving the avro.schema.url table property on an Avro table that is subsequently queried
Server-Side Request Forgery (SSRF) in Avro SerDe schema resolution in Apache Hive before 4.2.1 allows an authenticated remote attacker with CREATE TABLE privilege to cause the Hive server to fetch an attacker-controlled URL when resolving the avro.schema.url table property on an Avro table that is subsequently queried. This can expose cloud instance metadata, internal network services, or local server files to the Hive process identity. Users are recommended to upgrade to version 4.2.1, which fixes this issue. Attacker access requirements: - Network access to HiveServer2 / Metastore: required (remote attacker model). - Valid Hive authentication: required. - CREATE TABLE (or equivalent) privilege: required, so the attacker can set avro.schema.url in table properties. - SELECT privilege on the malicious table: not required for the creator, who can typically query their own table; any other user granted SELECT can also trigger the fetch. - Write access to the table LOCATION: not required; the attack uses the schema URL, not the data path. - Admin / superuser privileges: not required; an ordinary authenticated user with DDL rights is sufficient. - External tables enabled: typically required in practice, and enabled by default in most deployments. Detection guidance:
High [CVE-2026-53561] improper authentication vulnerability in HiveServer2 SAML bearer-token validation in Apache Hive 4.0.0 through 4.2.0 (and later unreleased branches) on deployments using HTTP transport with hive.server2.authentication=SAML allows an unauthenticated network attacker to authenticate as an arbitrary Hive user and obtain an authenticated HiveServer2 session via a forged Authorization: Bearer token sent to the /cliservice HTTP endpoint
An improper authentication vulnerability in HiveServer2 SAML bearer-token validation in Apache Hive 4.0.0 through 4.2.0 (and later unreleased branches) on deployments using HTTP transport with hive.server2.authentication=SAML allows an unauthenticated network attacker to authenticate as an arbitrary Hive user and obtain an authenticated HiveServer2 session via a forged Authorization: Bearer token sent to the /cliservice HTTP endpoint. Users are recommended to upgrade to 4.2.1 version that includes the fix for this issue. Access / authorization required: No Hive credentials, SAML IdP login, or knowledge of the server signing secret is required. The attacker only needs network reachability to the HiveServer2 HTTP port (typically /cliservice), directly or through a reverse proxy such as Apache Knox that forwards unauthenticated requests to HS2. The instance must have SAML authentication enabled in HTTP mode. Deployments where Knox handles SSO and HiveServer2 uses LDAP/Kerberos (not native SAML mode) are not affected by this specific issue.
Medium [CVE-2026-49326] Missing Authorization vulnerability in Apache HBase thrift and rest delegation service
Missing Authorization vulnerability in Apache HBase thrift and rest delegation service. A scan operation in thrift/rest service has 3 steps, open, fetch(possible multiple times), close. The open step will return an id which will be passed back to server for identifying the scanner instances stored at server side. We missed the owner check in fetch and close steps which means a user can fetch rows from the scanner which is opened by other users, and close scanners which belongs to other users. This issue affects Apache HBase:from 3.0.0-alpha-1 through 3.0.0-beta-1, from 2.6.0 through 2.6.5, from 2.5.0 through 2.5.14, through 2.4.*. Users are recommended to upgrade to version 3.0.0-beta-2, 2.6.6 and 2.5.15, which fixes the issue.
Critical [CVE-2026-41041] URL path injection via unencoded user-supplied identifiers vulnerability in Apache Gravitino
URL path injection via unencoded user-supplied identifiers vulnerability in Apache Gravitino. This issue affects Apache Gravitino: from 1.0.0 before 1.2.1. Users are recommended to upgrade to version 1.2.1, which fixes the issue.
Medium [CVE-2026-49876] Apache Gravitino: Authenticated SSRF in Gravitino JobManager
Authenticated SSRF in Gravitino JobManager allows server-side HTTP requests to internal network and cloud metadata endpoints via unvalidated job template URIs. A vulnerability in Apache Gravitino. This issue affects Apache Gravitino: from 1.0.0 through 1.2.1. Users are recommended to upgrade to version 1.3.0, which fixes the issue.
Critical [CVE-2026-41042] Apache Gravitino: Unauthenticated callers can supply a malicious H2 JDBC URL through the testConnection API
Unauthenticated callers can supply a malicious H2 JDBC URL through the testConnection API, which executes arbitrary Java code on the server via H2's INIT parameter. Vulnerability in Apache Gravitino. This issue affects Apache Gravitino: before 1.2.1. Users are recommended to upgrade to version 1.2.1, which fixes the issue. This issue only happens when using H2, and H2 is mainly used for testing and local development. Also, Gravitino is typically deployed in the internal environment, so the severity is low.
Critical [CVE-2026-48203] Apache Camel: Improper Neutralization of Special Elements in Output Used by a Downstream Component ('Injection'), Improper Input…
Improper Neutralization of Special Elements in Output Used by a Downstream Component ('Injection'), Improper Input Validation, Server-Side Request Forgery (SSRF) vulnerability in Apache Camel Solr component. The camel-solr producer copies Exchange message headers whose names begin with the SolrParam. prefix into the parameters of the Solr request, and headers whose names begin with the SolrField. prefix into the fields of the indexed Solr document. The prefix constants (SolrConstants.HEADER_PARAM_PREFIX / HEADER_FIELD_PREFIX) were the plain strings SolrParam. / SolrField.. Because these names do not start with the Camel / camel prefix, HttpHeaderFilterStrategy - which blocks only the Camel header namespace on the HTTP boundary - let them pass from an inbound HTTP request straight into the Exchange. In a route that bridges an HTTP consumer (for example platform-http) into a solr: producer, any HTTP client could therefore set SolrParam.* headers to inject arbitrary Solr request parameters - including shards or stream.url, which cause the Solr server to issue server-side requests to an attacker-chosen URL (server-side request forgery, for example to an internal service or a cloud metadata endpoint), or qt to reach administrative request handlers - and set SolrField.* headers to inject arbitrary fields into indexed documents.
Medium [CVE-2025-53648] SQL misconfiguration in the Gravitino UI, in versions 1.0.0 and below, can allow a malicious user to read or truncate files
SQL misconfiguration in the Gravitino UI, in versions 1.0.0 and below, can allow a malicious user to read or truncate files. Users are recommended to upgrade to version 1.0.0, which fixes this issue.
Medium [CVE-2026-40557] Apache Storm Prometheus: Improper Certificate Validation
Improper Certificate Validation via Global SSL Context Downgrade in Apache Storm Prometheus Reporter Versions Affected: from 2.6.3 to 2.8.6 In production deployments where an administrator enables storm.daemon.metrics.reporter.plugin.prometheus.skip_tls_validation (by default it is disabled) intending to affect only the Prometheus reporter, the undocumented global side effect creates an attack surface across every TLS-protected communication channel in the Storm daemon. The PrometheusPreparableReporter class implements an INSECURE_TRUST_MANAGER that accepts all SSL certificates without validation, with empty checkClientTrusted and checkServerTrusted methods. Most critically, when the storm.daemon.metrics.reporter.plugin.prometheus.skip_tls_validation configuration option is enabled (default = disabled) for HTTPS Prometheus PushGateway connections, the INSECURE_CONNECTION_FACTORY calls SSLContext.setDefault(sslContext), which globally replaces the JVM's default SSL context rather than applying the insecure context only to the Prometheus connection. This payload flows through storm.yaml configuration → PrometheusPreparableReporter.prepare() → INSECURE_CONNECTION_FACTORY → SSLContext.setDefault(), resulting in a JVM-wide TLS security downgrade.
High [CVE-2025-54920] Apache Spark: This issue affects Apache Spark: before 3.5.7 and 4.0.1.
This issue affects Apache Spark: before 3.5.7 and 4.0.1. Users are recommended to upgrade to version 3.5.7 or 4.0.1 and above, which fixes the issue. Apache Spark 3.5.4 and earlier versions contain a code execution vulnerability in the Spark History Web UI due to overly permissive Jackson deserialization of event log data. This allows an attacker with access to the Spark event logs directory to inject malicious JSON payloads that trigger deserialization of arbitrary classes, enabling command execution on the host running the Spark History Server. The vulnerability arises because the Spark History Server uses Jackson polymorphic deserialization with @JsonTypeInfo.Id.CLASS on SparkListenerEvent objects, allowing an attacker to specify arbitrary class names in the event JSON. This behavior permits instantiating unintended classes, such as org.apache.hive.jdbc. HiveConnection, which can perform network calls or other malicious actions during deserialization. The attacker can exploit this by injecting crafted JSON content into the Spark event log files, which the History Server then deserializes on startup or when loading event logs. For example, the attacker can force the History Server to open a JDBC connection to a remote attacker-controlled server, demonstrating remote command injection capability. Proof of Concept: 1.
Medium [CVE-2025-60012] Apache Livy: Malicious configuration can lead to unauthorized file access in Apache Livy.
Malicious configuration can lead to unauthorized file access in Apache Livy. This issue affects Apache Livy 0.7.0 and 0.8.0 when connecting to Apache Spark 3.1 or later. A request that includes a Spark configuration value supported from Apache Spark version 3.1 can lead to users gaining access to files they do not have permissions to. For the vulnerability to be exploitable, the user needs to have access to Apache Livy's REST or JDBC interface and be able to send requests with arbitrary Spark configuration values. Users are recommended to upgrade to version 0.9.0 or later, which fixes the issue.
Advisory [CVE-2026-24308] Apache ZooKeeper: Sensitive information disclosure in client configuration handling
Improper handling of configuration values in ZKConfig in Apache ZooKeeper 3.8.5 and 3.9.4 on all platforms allows an attacker to expose sensitive information stored in client configuration in the client's logfile. Configuration values are exposed at INFO level logging rendering potential production systems affected by the issue. Users are recommended to upgrade to version 3.8.6 or 3.9.5 which fixes this issue.
Advisory [CVE-2026-24281] Apache ZooKeeper: Reverse-DNS fallback enables hostname verification bypass in ZooKeeper ZKTrustManager
Hostname verification in Apache ZooKeeper ZKTrustManager falls back to reverse DNS (PTR) when IP SAN validation fails, allowing attackers who control or spoof PTR records to impersonate ZooKeeper servers or clients with a valid certificate for the PTR name. It's important to note that attacker must present a certificate which is trusted by ZKTrustManager which makes the attack vector harder to exploit. Users are recommended to upgrade to version 3.8.6 or 3.9.5, which fixes this issue by introducing a new configuration option to disable reverse DNS lookup in client and quorum protocols.
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