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8 CVE

Critique 2 Élevée 3 Moyenne 3 Faible 0 Non évaluée 0 Exploitées (KEV) Tri : plus récentes « Apache hive » ✕
  1. CVE-2026-93995 6.5 Moyenne

    Apache Software Foundation Apache MINA SSHD

    Improper input validation in sshd-git in Apache MINA SSHD, versions up to 2.19.0 and 3.0.0-M1 to 3.0.0-M5. Apache MINA SSHD is a Java library for client-side and server-side SSH. Component org.apache.sshd:sshd-git provides though class GitPgmCommandFactory a way to configure an Apache MINA SSHD server such that authenticated SSH clients can remotely execute git commands via the JGit library on git repositories stored on the server. In CVE-2026-58624 this mechanism was restricted to only a few git commands, including "git archive" without "--output" or "-o" options such that the resulting archive would not be written on the server but instead sent back to the client over the SSH connection. The fix done for CVE-2026-58624 was insufficient as it missed removing the single-argument "-o=file.zip" version of the command parameter from the "archive" command. Users are recommended to upgrade to version 2.20.0 or 3.0.0-M6, which fix this issue.

  2. CVE-2026-67211 7.5 Élevée

    Apache Software Foundation Apache OpenNLP · Apache opennlp

    OOM Denial of Service via Unbounded Map Pre-Sizing in Apache OpenNLP SymSpellModelSerializer Versions Affected: - 3.0.0-M4 - 3.0.0-M5 (The opennlp-spellcheck extension was introduced in 3.0.0-M4. Releases 1.x and 2.x do not contain the affected code.) Description: The SymSpellModelSerializer.create() method reads two 32-bit signed integer count fields (unigramCount and bigramCount) from a binary SymSpell model stream and passes each value directly to LinkedHashMap.newLinkedHashMap() after validating only that it is non-negative. No upper bound is applied, so the count is fully attacker-controlled when the model file originates from an untrusted source. A crafted .bin model file in which either count field is set to Integer.MAX_VALUE (or any value large enough to exhaust the available heap) causes the map to be pre-sized to a capacity of 2^30 entries. The oversized backing array is allocated on the first put() into that map, requesting 4–8 GB depending on whether compressed oops are in effect, and the load fails with an OutOfMemoryError. Because the count fields sit immediately after a fixed-size header (magic, format version, three UTF strings, the configuration fields, and the edit-distance identifier) the attacker pays no meaningful size cost to weaponize a payload: a file of well under 100 bytes plus a single real entry is sufficient to crash a JVM that loads it. Any code path that deserializes a SymSpell model is affected, including SymSpellModels.deserialize(InputStream), SymSpellModels.fromBytes(byte[]), classpath model loading via SymSpellModelResolver.resolveByLanguage(String), the CorrectTextTool command-line tool, and model-archive loading through the registered ArtifactSerializer. The opennlp-spellcheck extension ships in the official OpenNLP binary distribution. The practical impact is denial of service against processes that load SymSpell model files from untrusted or semi-trusted origins. Mitigation: - 3.x users should upgrade to 3.0.0-M6. Note: The fix applies an upper bound to both count fields, checked before the map is pre-sized; counts that are negative or exceed the bound cause an IOException to be thrown and the read to fail fast with no large allocation. The bound is the existing AbstractModelReader.MAX_ENTRIES limit introduced earlie, which the current change promotes to public visibility so that serializers implementing their own binary format can share it. The default bound is 10,000,000, which is well above the entry counts of legitimate SymSpell dictionaries but far below any value that would threaten heap exhaustion. Deployments that legitimately need to load larger dictionaries can raise the limit at JVM startup by setting the OPENNLP_MAX_ENTRIES system property to the desired positive integer (e.g. -DOPENNLP_MAX_ENTRIES=50000000); invalid or non-positive values fall back to the default. Note that this property is shared with the model-reader limit and raising it relaxes both. Users who cannot upgrade immediately should treat all SymSpell .bin model files as untrusted input unless their provenance is verified, and should avoid loading models supplied by end users or fetched from third-party repositories without integrity checks.

  3. CVE-2026-52691 8.8 Élevée

    Apache Software Foundation 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.

  4. CVE-2026-55976 9.1 Critique

    Apache Software Foundation Apache Hive · Apache hive

    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: * Inspect metastore / Hive table metadata for Avro tables whose avro.schema.url uses unexpected schemes such as http, https, file, or ftp, or points at link-local / cloud metadata addresses (for example 169.254.169.254) or other internal hosts. * Review HiveServer2 and Metastore logs around CREATE/ALTER TABLE and queries against Avro tables for schema-resolution failures or outbound fetches of avro.schema.url. * Correlate CREATE TABLE / ALTER TABLE activity that sets avro.schema.url with subsequent SELECT activity on the same table, especially when the URL target is unusual for schema distribution. * On cloud deployments, check instance / VPC flow logs and metadata service access logs for unexpected requests from Hive host identities shortly after Avro DDL or query activity.

  5. CVE-2026-53561 7.4 Élevée

    Apache Software Foundation Apache Hive · Apache hive

    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.

  6. CVE-2026-49845 9.8 Critique

    Apache Software Foundation Apache Hive · Apache hive

    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. Also, the impact is mainly within table & partition targeting (read/update/truncate/drop/cache the wrong partitions in a table they can reference), not arbitrary cross-database access via this bug alone.

  7. CVE-2026-63317 5.6 Moyenne

    Apache Software Foundation Apache OpenNLP · Apache opennlp

    Arbitrary Class Instantiation via XML Feature Generator Descriptor and Format Name in Apache OpenNLP Versions Affected: - before 2.5.10 - before 3.0.0-M5 Description: Three code paths in Apache OpenNLP load a class by its fully-qualified name via Class.forName() and invoke its no-arg constructor without any prior validation of the class name or its type.  The affected paths are: (1) GeneratorFactory, which reads the class attribute of generator elements in an XML feature generator descriptor; such descriptors are embedded as artifacts in model archives (e.g. TokenNameFinder and POSTagger models) and are parsed during model loading, so an attacker who can supply a crafted model archive controls the class name directly. (2) StreamFactoryRegistry.getFactory(Class, String), which falls back to interpreting an unregistered format name as the fully-qualified class name of an ObjectStreamFactory; this is exploitable in applications that pass untrusted format names (e.g. exposing the -format parameter of the command-line tooling to external input). (3) StringInterners, which instantiates the interner implementation named by the opennlp.interner.class system property; this value is normally deployer-controlled, so it is hardened as defense in depth rather than being independently attacker-reachable. Exploitation requires a class with attacker-useful side effects in its static initializer or no-arg constructor (JNDI lookup, outbound network I/O, filesystem access) to be present on the classpath, so this is not drop-in remote code execution. T Mitigation: Upgrade to a fixed release. The fix routes all three paths through ExtensionLoader.instantiateExtension(...), which consults a package-prefix allowlist before Class.forName() is invoked, so a disallowed class is never loaded, initialized, or constructed. Classes under the opennlp. prefix remain permitted by default. Deployments that load models referencing feature generator factories, object stream factories, or string interners outside opennlp.* must opt those packages in, either programmatically via ExtensionLoader.registerAllowedPackage(String) before the first model load, or by setting the OPENNLP_EXT_ALLOWED_PACKAGES system property to a comma-separated list of allowed package prefixes. Users who cannot upgrade immediately should ensure all model files and format names are sourced from trusted origins and should audit their classpath for classes with side-effecting static initializers or constructors.

  8. CVE-2026-58624 5.4 Moyenne

    Apache Software Foundation Apache MINA SSHD · Apache mina sshd

    Improper input validation in sshd-git in Apache MINA SSHD. Apache MINA SSHD is a Java library for client-side and server-side SSH. Component org.apache.sshd:sshd-git provides though its GitPgmCommandFactory a way to configure an Apache MINA SSHD server such that SSH clients can remotely execute git commands via the JGit library on git repositories stored on the server. This GitPgmCommandFactory allowed a user authenticated via SSH to run any JGit command available, including commands that could write files at arbitrary places such as git archive with the --output option. Affected are SSH servers implemented with Apache MINA SSHD and using the GitPgmCommandFactory. If the GitPgmCommandFactory is not configured on the server, the server is not affected. It is recommended to upgrade affected servers to Apache MINA SSHD 2.19.0 or 3.0.0-M5, which fix this issue. The issue is fixed by restricting the available commands to a small whitelist of uncritical commands (such as git log). git archive is also allowed, but its --output argument is ignored and the archive is always sent through the SSH channel to the client.