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Including CVEs outside Waratek scope✕Product kafka✕
Overview 17 matches · 15 in Waratek scope · 1 protected · 1 exploited · 0 CISA KEV · 0 public PoC · 0 EPSS ≥ 0.5
17matches 15in Waratek scope88.2% 1protected5.9% 1exploited5.9% 0CISA KEV0.0% 0public PoC0.0% 0EPSS ≥ 0.50.0%
Critical 0 0.0% High 0 0.0% Medium 17 100.0% Low 0 0.0% None 0 0.0% Unknown 0 0.0%
blocked by ARMR today 1 5.9% partly blocked 0 0.0% not blocked 16 94.1% not established 0 0.0% unrecorded 0 0.0%
Exploited 1 5.9% Working exploit published 0 0.0% Proof of concept only 0 0.0% Forecast only 0 0.0% No public exploit 16 94.1%
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CVE Severity Published▾ Status Exploitation Description
CVE-2026-59317 Medium 2026-08-27 No exploit published No public exploit DeadLetterPublishingRecovererFactory reads the retry_topic-original-timestamp header from an inbound ConsumerRecord and passes its raw bytes directly to new BigInteger(header.value()) with no length or format validation. Spring for Apache Kafka 4.1.0 Spring for Apache Kafka 4.0.0 - 4.0.6 Spring for Apache Kafka 3.0.0 - 3.3.16 Spring for Apache Kafka 2.9.0 - 2.9.14 Spring for Apache Kafka 2.8.12 and earlier
CVE-2026-59278 Medium 2026-08-27 No exploit published No public exploit JsonKafkaHeaderMapper and DefaultKafkaHeaderMapper include java.net in their default trusted packages list. When these mappers are used — which is the default configuration for all @KafkaListener consumers — an external Kafka producer can inject a java.net.InetAddress type via the spring_json_header_types message header. Spring for Apache Kafka 4.1.0 Spring for Apache Kafka 4.0.0 - 4.0.6 Spring for Apache Kafka 3.0.0 - 3.3.16 Spring for Apache Kafka 2.9.0 - 2.9.14 Spring for Apache Kafka 2.8.12 and earlier
CVE-2026-76401 Medium 2026-08-19 Not applicable No public exploit In Splunk Connect for Kafka versions below 2.2.7, an unauthenticated user who can reach the Kafka Connect Representational State Transfer (REST) API could configure timestamp extraction with a crafted regular expression and matching event data to block a Kafka Connect worker thread, stopping event delivery for the affected connector. The vulnerability is possible because timestamp extraction evaluates customer-supplied regular expressions without a time limit. For more information see Install Splunk Connect for Kafka (https://help.splunk.com/en/data-management/integrate-data-with-add-ons/splunk-connect-for-kafka/2.2/install/install-splunk-connect-for-kafka) and Data ingestion parameters for Splunk Connect for Kafka (https://help.splunk.com/en/data-management/integrate-data-with-add-ons/splunk-connect-for-kafka/2.2/overview/data-ingestion-parameters-for-splunk-connect-for-kafka) in the Splunk documentation.
CVE-2026-76400 Medium 2026-08-19 Not applicable No public exploit In Splunk Connect for Kafka versions below 2.2.7, an unauthenticated user who can reach the Kafka Connect Representational State Transfer (REST) API and influence responses from a Hypertext Transfer Protocol (HTTP) Event Collector endpoint in Splunk Enterprise could cause the connector to retry failed event batches until event delivery stops. The vulnerability is possible because HTTP Event Collector delivery retry handling uses an unbounded default for failed batches instead of a finite retry limit. For more information see Install Splunk Connect for Kafka (https://help.splunk.com/en/data-management/integrate-data-with-add-ons/splunk-connect-for-kafka/2.2/install/install-splunk-connect-for-kafka), Data ingestion parameters for Splunk Connect for Kafka (https://help.splunk.com/en/data-management/integrate-data-with-add-ons/splunk-connect-for-kafka/2.2/overview/data-ingestion-parameters-for-splunk-connect-for-kafka), and Set up and use HTTP Event Collector with configuration files (https://help.splunk.com/en/splunk-enterprise/get-data-in/get-started-with-getting-data-in/9.4/get-data-with-http-event-collector/set-up-and-use-http-event-collector-with-configuration-files) in the Splunk documentation.
CVE-2026-49098 Medium 2026-07-06 No exploit published No public exploit Improper Input Validation, Improper Neutralization of Special Elements in Output Used by a Downstream Component ('Injection') vulnerability in Apache Camel Kafka Component. The camel-kafka producer can override its configured target topic at runtime from the kafka.OVERRIDE_TOPIC Exchange header: KafkaProducer.evaluateTopic() returns the header value in preference to the topic configured on the endpoint. The control-header constants in KafkaConstants (for example OVERRIDE_TOPIC = kafka.OVERRIDE_TOPIC, OVERRIDE_TIMESTAMP = kafka.OVERRIDE_TIMESTAMP, PARTITION_KEY = kafka.PARTITION_KEY) used plain, non-Camel-prefixed values. camel-kafka's own KafkaHeaderFilterStrategy does filter the kafka.* namespace, but only on the Kafka-to-Exchange serialization boundary (reading Kafka record headers into the Exchange, and writing Exchange headers into a Kafka record); it does not apply to headers that arrive from an upstream consumer in a multi-component route. The upstream HTTP consumer uses HttpHeaderFilterStrategy, which blocks only the Camel / camel namespace, so a kafka.* header passes through unfiltered. As a result, in a route that bridges an HTTP consumer (for example platform-http) into a kafka: producer, any HTTP client could set the kafka.OVERRIDE_TOPIC header and cause the message to be published to an arbitrary Kafka topic instead of the configured one - redirecting it to a sensitive internal topic, or injecting attacker-crafted messages into a topic consumed by a critical downstream service. The related kafka.OVERRIDE_TIMESTAMP and kafka.PARTITION_KEY headers could likewise be injected to backdate messages or target specific partitions. No credentials are required when the bridging consumer is unauthenticated. This issue affects Apache Camel: from 4.0.0 before 4.14.8, from 4.15.0 before 4.18.3, from 4.19.0 before 4.21.0. Users are recommended to upgrade to version 4.21.0, which fixes the issue. If users are on the 4.14.x LTS releases stream, then they are suggested to upgrade to 4.14.8. If users are on the 4.18.x releases stream, then they are suggested to upgrade to 4.18.3. After upgrading, routes that set or read Kafka headers via the raw header names must use the CamelKafka* names (for example CamelKafkaOverrideTopic and CamelKafkaTopic) instead of the old kafka.* values. For deployments that cannot upgrade immediately, strip the kafka.* headers from any untrusted ingress before the kafka: producer (for example removeHeaders('kafka.*') at the start of the route), and set the target topic from a trusted source.
CVE-2026-41727 Medium 2026-06-10 No exploit published No public exploit Spring Kafka's retry topic infrastructure did not sufficiently validate user-controlled header values before acting on them. A producer could send a record with a crafted retry_topic-attempts header to supply an out-of-range attempt count and cause the retry topic router to misidentify where the message was in the retry sequence. Affected versions: Spring for Apache Kafka 4.0.0 through 4.0.5; 3.3.0 through 3.3.15; 3.2.0 through 3.2.13; 2.9.0 through 2.9.13; 2.8.0 through 2.8.11.
CVE-2026-41726 Medium 2026-06-10 Protected by Waratek No public exploit When an application opts into DelegatingDeserializer, a producer can grow the consumer's heap without bound by sending records with unique random spring.kafka.serialization.selector header values, eventually causing GC thrash and OutOfMemoryError. Affected versions: Spring for Apache Kafka 4.0.0 through 4.0.5; 3.3.0 through 3.3.15; 3.2.0 through 3.2.13; 2.9.0 through 2.9.13; 2.8.0 through 2.8.11.
CVE-2026-41115 Medium 2026-06-02 No exploit published No public exploit An improper authorization vulnerability has been identified in Apache Kafka. The implementation of the CONSUMER_GROUP_DESCRIBE (69) API validates the DESCRIBE operation on the GROUP resource instead of the READ operation that documented in the official kafka documentation and the KIP-848. This discrepancy can result in misconfigured Access Control Lists (ACLs) and unintended security postures, like granting READ permission to users who should not be able to join/sync groups, or allowing users without READ permission (but with DESCRIBE permission) to access sensitive group metadata. The correct permission for CONSUMER_GROUP_DESCRIBE API is DESCRIBE GROUP so the current implementation is correct. However, the kafka documentation as well as the KIP-848 will be updated to reflect the correct permission. We advise the Kafka users to review existing group ACLs to ensure the principle of least privilege.
CVE-2026-33558 Medium 2026-04-20 No exploit published No public exploit Information exposure vulnerability has been identified in Apache Kafka. The NetworkClient component will output entire requests and responses information in the DEBUG log level in the logs. By default, the log level is set to INFO level. If the DEBUG level is enabled, the sensitive information will be exposed via the requests and responses output log. The entire lists of impacted requests and responses are: * AlterConfigsRequest * AlterUserScramCredentialsRequest * ExpireDelegationTokenRequest * IncrementalAlterConfigsRequest * RenewDelegationTokenRequest * SaslAuthenticateRequest * createDelegationTokenResponse * describeDelegationTokenResponse * SaslAuthenticateResponse This issue affects Apache Kafka: from any version supported the listed API above through v3.9.1, v4.0.0. We advise the Kafka users to upgrade to v3.9.2, v4.0.1, or later to avoid this vulnerability.
CVE-2025-30677 Medium 2025-04-09 No exploit published No public exploit Apache Pulsar contains multiple connectors for integrating with Apache Kafka. The Pulsar IO Apache Kafka Source Connector, Sink Connector, and Kafka Connect Adaptor Sink Connector log sensitive configuration properties in plain text in application logs. This vulnerability can lead to unintended exposure of credentials in log files, potentially allowing attackers with access to these logs to obtain Apache Kafka credentials. The vulnerability's impact is limited by the fact that an attacker would need access to the application logs to exploit this issue. This issue affects Apache Pulsar IO's Apache Kafka connectors in all versions before 3.0.11, 3.3.6, and 4.0.4. 3.0.x version users should upgrade to at least 3.0.11. 3.3.x version users should upgrade to at least 3.3.6. 4.0.x version users should upgrade to at least 4.0.4. Users operating versions prior to those listed above should upgrade to the aforementioned patched versions or newer versions.
CVE-2024-56128 Medium 2024-12-18 No exploit published No public exploit Incorrect Implementation of Authentication Algorithm in Apache Kafka's SCRAM implementation. Issue Summary: Apache Kafka's implementation of the Salted Challenge Response Authentication Mechanism (SCRAM) did not fully adhere to the requirements of RFC 5802 [1]. Specifically, as per RFC 5802, the server must verify that the nonce sent by the client in the second message matches the nonce sent by the server in its first message. However, Kafka's SCRAM implementation did not perform this validation. Impact: This vulnerability is exploitable only when an attacker has plaintext access to the SCRAM authentication exchange. However, the usage of SCRAM over plaintext is strongly discouraged as it is considered an insecure practice [2]. Apache Kafka recommends deploying SCRAM exclusively with TLS encryption to protect SCRAM exchanges from interception [3]. Deployments using SCRAM with TLS are not affected by this issue. How to Detect If You Are Impacted: If your deployment uses SCRAM authentication over plaintext communication channels (without TLS encryption), you are likely impacted. To check if TLS is enabled, review your server.properties configuration file for listeners property. If you have SASL_PLAINTEXT in the listeners, then you are likely impacted. Fix Details: The issue has been addressed by introducing nonce verification in the final message of the SCRAM authentication exchange to ensure compliance with RFC 5802. Affected Versions: Apache Kafka versions 0.10.2.0 through 3.9.0, excluding the fixed versions below. Fixed Versions: 3.9.0 3.8.1 3.7.2 Users are advised to upgrade to 3.7.2 or later to mitigate this issue. Recommendations for Mitigation: Users unable to upgrade to the fixed versions can mitigate the issue by: - Using TLS with SCRAM Authentication: Always deploy SCRAM over TLS to encrypt authentication exchanges and protect against interception. - Considering Alternative Authentication Mechanisms: Evaluate alternative authentication mechanisms, such as PLAIN, Kerberos or OAuth with TLS, which provide additional layers of security.
CVE-2024-31141 Medium 2024-11-19 No exploit published No public exploit Files or Directories Accessible to External Parties, Improper Privilege Management vulnerability in Apache Kafka Clients. Apache Kafka Clients accept configuration data for customizing behavior, and includes ConfigProvider plugins in order to manipulate these configurations. Apache Kafka also provides FileConfigProvider, DirectoryConfigProvider, and EnvVarConfigProvider implementations which include the ability to read from disk or environment variables. In applications where Apache Kafka Clients configurations can be specified by an untrusted party, attackers may use these ConfigProviders to read arbitrary contents of the disk and environment variables. In particular, this flaw may be used in Apache Kafka Connect to escalate from REST API access to filesystem/environment access, which may be undesirable in certain environments, including SaaS products. This issue affects Apache Kafka Clients: from 2.3.0 through 3.5.2, 3.6.2, 3.7.0. Users with affected applications are recommended to upgrade kafka-clients to version >=3.8.0, and set the JVM system property "org.apache.kafka.automatic.config.providers=none". Users of Kafka Connect with one of the listed ConfigProvider implementations specified in their worker config are also recommended to add appropriate "allowlist.pattern" and "allowed.paths" to restrict their operation to appropriate bounds. For users of Kafka Clients or Kafka Connect in environments that trust users with disk and environment variable access, it is not recommended to set the system property. For users of the Kafka Broker, Kafka MirrorMaker 2.0, Kafka Streams, and Kafka command-line tools, it is not recommended to set the system property.
CVE-2023-29471 Medium 2023-04-27 No exploit published No public exploit Lightbend Alpakka Kafka before 5.0.0 logs its configuration as debug information, and thus log files may contain credentials (if plain cleartext login is configured). This occurs in akka.kafka.internal.KafkaConsumerActor.
CVE-2021-38153 Medium 2021-09-22 Mitigation candidate Exploited Some components in Apache Kafka use `Arrays.equals` to validate a password or key, which is vulnerable to timing attacks that make brute force attacks for such credentials more likely to be successful. Users should upgrade to 2.8.1 or higher, or 3.0.0 or higher where this vulnerability has been fixed. The affected versions include Apache Kafka 2.0.0, 2.0.1, 2.1.0, 2.1.1, 2.2.0, 2.2.1, 2.2.2, 2.3.0, 2.3.1, 2.4.0, 2.4.1, 2.5.0, 2.5.1, 2.6.0, 2.6.1, 2.6.2, 2.7.0, 2.7.1, and 2.8.0.
CVE-2020-27218 Medium 2020-11-28 No exploit published No public exploit In Eclipse Jetty version 9.4.0.RC0 to 9.4.34.v20201102, 10.0.0.alpha0 to 10.0.0.beta2, and 11.0.0.alpha0 to 11.0.0.beta2, if GZIP request body inflation is enabled and requests from different clients are multiplexed onto a single connection, and if an attacker can send a request with a body that is received entirely but not consumed by the application, then a subsequent request on the same connection will see that body prepended to its body. The attacker will not see any data but may inject data into the body of the subsequent request.
CVE-2018-1288 Medium 2018-07-26 No exploit published No public exploit In Apache Kafka 0.9.0.0 to 0.9.0.1, 0.10.0.0 to 0.10.2.1, 0.11.0.0 to 0.11.0.2, and 1.0.0, authenticated Kafka users may perform action reserved for the Broker via a manually created fetch request interfering with data replication, resulting in data loss.
CVE-2017-12610 Medium 2018-07-26 No exploit published No public exploit In Apache Kafka 0.10.0.0 to 0.10.2.1 and 0.11.0.0 to 0.11.0.1, authenticated Kafka clients may use impersonation via a manually crafted protocol message with SASL/PLAIN or SASL/SCRAM authentication when using the built-in PLAIN or SCRAM server implementations in Apache Kafka.