Apache Software Foundation Hive

Jodd before 5.0.4 performs Deserialization of Untrusted JSON Data when setClassMetadataName is set.

Apache Hive: SQL Injection vulnerability in HiveMetaStore partition-name direct-SQL paths

This vulnerability in Apache Hive JDBC driver 0.7.1 to 2.3.2 allows carefully crafted arguments to be used to bypass the argument escaping/cleanup that JDBC driver does in PreparedStatement implementation.

Apache Hive: SSRF vulnerability in Hive Avro Serde due to Insufficient input validation on avro.schema.url

The authorization framework in Apache Hive 1.0.0, 1.0.1, 1.1.0, 1.1.1, 1.2.0 and 1.2.1, on clusters protected by Ranger and SqlStdHiveAuthorization, allows attackers to bypass intended parent table access restrictions via unspecified partition-level operations.

Apache Hive: Deserialization of untrusted data when fetching partitions from the Metastore

In Apache Hive 2.3.3, 3.1.0 and earlier, local resources on HiveServer2 machines are not properly protected against malicious user if ranger, sentry or sql standard authorizer is not in use.

In Apache Thrift 0.9.3 to 0.13.0, malicious RPC clients could send short messages which would result in a large memory allocation, potentially leading to denial of service.

Apache Hive Security vulnerability in Hive with UDFs

Apache Hive (JDBC + HiveServer2) implements SSL for plain TCP and HTTP connections (it supports both transport modes). While validating the server's certificate during the connection setup, the client in Apache Hive before 1.2.2 and 2.0.x before 2.0.1 doesn't seem to be verifying the common name attribute of the certificate. In this way, if a JDBC client sends an SSL request to server abc.com, and the server responds with a valid certificate (certified by CA) but issued to xyz.com, the client will accept that as a valid certificate and the SSL handshake will go through.

Apache Hive: Unauthenticated authentication bypass in HiveServer2 HTTP SAML bearer-token validation allows impersonation of any Hive user

The LDAP implementation in HiveServer2 in Apache Hive before 1.0.1 and 1.1.x before 1.1.1, as used in IBM InfoSphere BigInsights 3.0, 3.0.0.1, and 3.0.0.2 and other products, mishandles simple unauthenticated and anonymous bind configurations, which allows remote attackers to bypass authentication via a crafted LDAP request.

Apache Hive: Arbitrary command execution via JDBC driver

Apache Hive: Timing Attack Against Signature in LLAP util

Timing attack in Cookie signature verification

Apache Hive, Apache Spark, Apache Spark: CookieSigner exposes the correct signature when message verification fails

Apache Hive: Credentials file created with non restrictive permissions

Apache Hive: SQL injection vulnerability when processing delete column statistics requests via the HMS Thrift APIs

In Apache Hive 0.6.0 to 2.3.2, malicious user might use any xpath UDFs (xpath/xpath_string/xpath_boolean/xpath_number/xpath_double/xpath_float/xpath_long/xpath_int/xpath_short) to expose the content of a file on the machine running HiveServer2 owned by HiveServer2 user (usually hive) if hive.server2.enable.doAs=false.

In Apache Hive 2.3.3, 3.1.0 and earlier, Hive "EXPLAIN" operation does not check for necessary authorization of involved entities in a query. An unauthorized user can do "EXPLAIN" on arbitrary table or view and expose table metadata and statistics.

In Apache Hive 2.1.0 to 2.3.2, when 'COPY FROM FTP' statement is run using HPL/SQL extension to Hive, a compromised/malicious FTP server can cause the file to be written to an arbitrary location on the cluster where the command is run from. This is because FTP client code in HPL/SQL does not verify the destination location of the downloaded file. This does not affect hive cli user and hiveserver2 user as hplsql is a separate command line script and needs to be invoked differently.

Apache Hive 2.1.x before 2.1.2, 2.2.x before 2.2.1, and 2.3.x before 2.3.1 expose an interface through which masking policies can be defined on tables or views, e.g., using Apache Ranger. When a view is created over a given table, the policy enforcement does not happen correctly on the table for masked columns.

Apache Hive before 0.13.1, when in SQL standards based authorization mode, does not properly check the file permissions for (1) import and (2) export statements, which allows remote authenticated users to obtain sensitive information via a crafted URI.