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| CVE | CVSS | EPSS | Vendor, product | Description | Modified |
|---|---|---|---|---|---|
| CVE-2026-111497KEVexploit ×78news ×13 | 9.2 critical | 88.0% | google, nodejs, brotli, node.js, brotlicffi | A buffer overflow vulnerability in the Brotli decoder (c/dec/decode.c) in Google Brotli versions 1.0.3 through 1.2.0 on all platforms allows a remote unauthenticated attacker to corrupt adjacent decoder state memory, disclose sensitive memory contents, cause a denial of service, or potentially execute arbitrary code using a crafted Brotli-compressed stream. Users need to update any Brotli libraries or binaries between 1.0.3 through 1.2.0 to the latest available version: 1.0.10 or 1.1.1 or 1.2.1. | 19 h ago |
| CVE-2026-109218 | 9.8 critical | 1.0% | no CPE yet | The Contact Manager plugin for WordPress is vulnerable to Arbitrary File Upload in all versions up to, and including, 9.1.2 via the add_message function. This is due to an incomplete extension blacklist that fails to detect dangerous extensions when a trailing dot causes the extension-derivation routine to return an empty string, which sanitize_file_name() then silently removes before the file is written to disk. This makes it possible for unauthenticated attackers to upload files that may be executable, which makes remote code execution possible. Successful code execution additionally requires the server to use Apache with libapache2-mod-php (which maps .phar to PHP by default) and the attacker to retrieve the uploaded file within the brief window before it is removed by unlink() at end of request. | 23 h ago |
| CVE-2023-31101 | 6.5 medium | 1.0% | apache, inlong | Insecure Default Initialization of Resource Vulnerability in Apache Software Foundation Apache InLong.This issue affects Apache InLong: from 1.5.0 through 1.6.0. Users registered in InLong who joined later can see deleted users' data. Users are advised to upgrade to Apache InLong's 1.7.0 or cherry-pick https://github.com/apache/inlong/pull/7836 https://github.com/apache/inlong/pull/7836 to solve it. | 17 h ago |
| CVE-2025-31699 | 9.1 critical | 0.00% | no CPE yet | Apache Traffic Server can return an origin connection to the shared pool while the origin is still waiting on a request body the client declared but never fully sent, including when the client used Expect: 100-continue. The origin then reads a later request on that connection as leftover body data, which lets an attacker smuggle requests past ATS access controls, disrupt other users' requests, or poison the cache. This issue affects Apache Traffic Server: from 8.0.0 through 8.1.11, from 9.0.0 through 9.2.15, from 10.0.0 through 10.1.4, 10.2.0. Users are recommended to upgrade to version 9.2.16, 10.1.5, or 10.2.1, which fix the issue. | 22 h ago |
| CVE-2025-55702 | 7.0 high | 0.00% | no CPE yet | When a client sends a POST with Expect: 100-continue and the origin answers before reading the body, Apache Traffic Server parses the unread body left on the client connection as the next request. An attacker behind a front-end proxy that shares connections to Traffic Server can use this to smuggle requests past the front end and desynchronize responses for other users. This issue affects Apache Traffic Server: from 8.0.0 through 8.1.11, from 9.0.0 through 9.2.15, from 10.0.0 through 10.1.4, 10.2.0. Users are recommended to upgrade to version 9.2.16, 10.1.5, or 10.2.1, which fix the issue. | 22 h ago |
| CVE-2026-95664 | 5.4 medium | 0.00% | apache, camel | Improper Neutralization of Special Elements used in an Expression Language Statement ('Expression Language Injection') vulnerability in Apache Camel AWS2-s3 component. This issue affects Apache Camel: from 4.8.0 before 4.18.5, from 4.19.0 before 4.22.2. For the object it uploads, reads or deletes, the camel-aws2-s3 producer takes the key from the CamelAwsS3Key message header and falls back to the keyName option configured on the endpoint only when that header is absent. Since 4.8.0, AWS2S3Utils.determineKey() also passed the resulting value to the Simple language whenever it contained ${ or $simple{, so that a route could use a dynamic key, and the evaluation applied to a value taken from the header as well as to the configured option. The header is not route configuration, however: the aws2-s3 consumer sets CamelAwsS3Key on the exchanges it creates to the key of the object it read, that is, the name of the object in the bucket. In a route that does nothing more than consume from one aws2-s3 endpoint and produce to another, the name of each consumed object therefore reached the producer, and a name containing either marker was evaluated as an expression, although the route author never asked for any evaluation, and configuring keyName on the producer did not prevent it, because the header took precedence. A key that a route copied into the header from other message content was evaluated in the same way. Anyone able to choose the name of an object in a bucket that such a route consumes, typically a principal allowed to upload to that bucket, could therefore have Simple expressions of their choosing evaluated in the Camel process. The Simple language can read JVM system properties, environment variables and configuration properties, which commonly carry credentials, and, where camel-bean is on the classpath, invoke methods on beans in the registry. The evaluated result became the key the producer used, so reading a value back additionally required the ability to see object names in the destination bucket, while a method invocation took effect without it; together with the need to name an object in a consumed bucket, this is why the severity is assessed medium. The bucket name went through the same evaluation, but the consumer only ever places the bucket configured on its own endpoint in a bucket header, never a value derived from a remote object, so the bucket name was not reachable in this way. Releases before 4.8.0 used the key from the header as given and are not affected. Users are recommended to upgrade to version 4.23.0, which fixes the issue. If users are on the 4.22.x releases stream, then they are suggested to upgrade to 4.22.2. If users are on the 4.18.x releases stream, then they are suggested to upgrade to 4.18.5. The 4.8.x to 4.17.x and 4.19.x to 4.21.x release lines reached end of life before this issue was resolved and will not receive a fix, so deployments on them must move to a supported release. After upgrading, a key or bucket name supplied through a message header is used literally, so a route that put an unevaluated Simple expression in the CamelAwsS3Key or CamelAwsS3OverrideBucketName header must evaluate it in the route instead, for example with setHeader and simple(), or configure it as the keyName or bucketName option of the endpoint. For deployments that cannot upgrade immediately, do not let a key derived from an object name or from other untrusted message content reach an aws2-s3 producer unchecked: in routes that pass exchanges from an aws2-s3 consumer to an aws2-s3 producer, either remove the CamelAwsS3Key header before the producer with removeHeader(“CamelAwsS3Key”), so that the keyName configured on the endpoint is used, or reject exchanges whose CamelAwsS3Key header contains ${ or $simple{. Configuring keyName alone is not a workaround, because the header takes precedence over it. As defence in depth, allow only trusted principals to write to buckets that Camel routes consume. | 21 h ago |
| CVE-2026-71569 | 4.8 medium | — | apache software foundation, apache camel | Server-Side Request Forgery (SSRF) vulnerability in Apache Camel A2A component. This issue affects Apache Camel: from 4.21.0 before 4.22.2. WebhookUrlValidator classified a push notification webhook host in two places that did not agree. A host written as an IP literal was matched against a list of string prefixes that named the IPv6 unique local range fc00::/7, while a host reached through a name was resolved and the resulting address classified with the InetAddress predicates isLoopbackAddress, isAnyLocalAddress, isLinkLocalAddress and isSiteLocalAddress. Those predicates do not cover the same ground as the prefix list: isSiteLocalAddress reports the deprecated fec0::/10 block and not the fc00::/7 unique local addresses that replaced it, and the JDK carries no predicate for them at all. The same address was therefore accepted or rejected depending on how it was written, and a webhook URL whose host name resolved into fc00::/7 passed a guard that refused the identical address given as a literal. PushNotificationDispatcher then sent the push notification to that address, together with any Authorization header carried in the same configuration, whose scheme and credentials the registering caller supplies. The webhook URL arrives as TaskPushNotificationConfig.url from the caller registering the push notification, so it is attacker-controlled, and allowLocalWebhookUrls is false by default, which is the configuration in which the guard is expected to hold. The response is not relayed back to the caller who registered the configuration, so what the gap yields is a blind outbound HTTPS request from the Camel process to an internal address the guard was written to refuse; reaching a service that way additionally requires that the name resolve into fc00::/7 in the target environment, that an HTTPS service be listening on that address, and that the TLS handshake succeed for the name being requested, which is why the severity is assessed medium. The same string pre-check was also wrong in the other direction: it matched the raw host string without first establishing that the host was an IP literal, so any name merely beginning with fc or fd, such as fcm.googleapis.com, was refused outright. Users are recommended to upgrade to version 4.23.0, which fixes the issue. If users are on the 4.22.x releases stream, then they are suggested to upgrade to 4.22.2. The 4.21.x release line reached end of life before this issue was resolved and will not receive a fix, so deployments on it must move to a supported release. Both the literal and the resolved path now classify the address from its raw bytes with one shared classifier, which recognises fc00::/7 and the shared address space 100.64.0.0/10, as well as IPv4-compatible, NAT64 (64:ff9b::/96) and 6to4 (2002::/16) addresses whose embedded IPv4 address is not globally routable. For deployments that cannot upgrade immediately, place authentication in front of the A2A push notification configuration path so that the webhook URL does not arrive from an untrusted caller, and deny egress from the Camel process to fc00::/7 at the network level; where the deployment has no need of IPv6, starting the JVM with -Djava.net.preferIPv4Stack=true removes the address class the gap turns on. Note that allowLocalWebhookUrls=false is already the default and does not by itself close the gap. | 2 h ago |
| CVE-2026-111422 | unscored | 0.00% | no CPE yet | In apache-airflow-providers-ssh before 7.0.1, SSHRemoteJobOperator quoted the values of its templated `environment` parameter only once, although they are placed inside an already-quoted wrapper script, so shell syntax such as `$(...)` in a value was executed on the remote SSH host. In a Dag that passes trigger-time input such as `params` or `dag_run.conf` into `environment`, a user who can trigger that Dag but cannot author Dags could run arbitrary commands on the remote host as the SSH connection's user. Users are advised to upgrade apache-airflow-providers-ssh to 7.0.1 or later. | 2 h ago |
| CVE-2026-115942 | unscored | — | apache software foundation, apache qpid proton c | A misconfigured wildcard TLS certificate causes a stack read overflow. This issue does not affect any wildcard certificate issued to the RFC9525 standard - the fix only accepts certificates that comply to this standard. This issue affects Apache Qpid Proton C: through 0.40.0. Users are recommended to upgrade to version 0.41.1, which fixes the issue. | 2 h ago |
| CVE-2026-114230 | unscored | — | apache software foundation, apache qpid proton c | When dispatching SASL frames to authenticate the peer, Proton will also dispatch AMQP frames if they claim to be SASL frames. This allows authentication bypass. However there will be no user name set so the effects depend on how the application deals with this condition - which otherwise means that authentication has not completed yet. This issue affects Apache Qpid Proton C: through 0.40.0. Users are recommended to upgrade to version 0.41.1, which fixes the issue. | 2 h ago |
| CVE-2026-105042 | unscored | — | apache software foundation, apache qpid proton c | A message body that is deeply nested and decoded by pn_message_body() could overflow the stack and cause a crash. This issue affects Apache Qpid Proton C: through 0.40.0. Users are recommended to upgrade to version 0.41.1, which fixes the issue. | 2 h ago |
| CVE-2026-105031 | unscored | — | apache software foundation, apache qpid proton c | When using the OpenSSL TLS implementation, both the pn_ssl_domain_set_trusted_ca_db() & pn_tls_config_set_trusted_certs() APIs added to rather than replaced the default system trust anchors. Leading to potentially trusting unexpected peer certificates. This can be worked around by setting the SSL_CERT_FILE environment variable for the application to /dev/null. This issue does not affect the Win32 SChannel TLS implementation. This issue affects Apache Qpid Proton C: through 0.40.0. Users are recommended to upgrade to version 0.41.1, which fixes the issue. | 2 h ago |
| CVE-2026-73581 | unscored | — | apache software foundation, apache tomcat | Improper Check for Certificate Revocation vulnerability in Apache Tomcat. Both the OpenSSL and OpenSSL-FFM TLS implementations ignore CRLs when certificate uses a keystore. This issue affects Apache Tomcat: from 11.0.0-M1 through 11.0.25, from 10.1.0-M1 through 10.1.59, from 9.0.0-M1 through 9.0.121. The following versions were EOL at the time the CVE was created but are known to be affected: from 8.5.0 through 8.5.100. Other unsupported versions may also be affected. Users are recommended to upgrade to version 11.0.26, 10.1.59, 9.0.122, which fixes the issue. | 3 h ago |
| CVE-2026-83525 | unscored | — | no CPE yet | Incorrect operator (CWE-480) in the FetchSnapshot RPC handler in Apache Kafka from 2.8.0 before 4.2.2, and from 4.3.0 before 4.3.2 on all platforms allows an authenticated attacker with CLUSTER_ACTION privilege to cause a denial of service (controller process termination) via a crafted FetchSnapshotRequest with an empty topics array or a topic with no partitions. Users are recommended to upgrade to version 4.2.2, 4.3.2, or 4.4.0, which fix this issue. Users on unsupported branches (4.1.x and earlier) should upgrade to 4.2.2 or later. | 17 h ago |
| CVE-2026-116593 | unscored | — | no CPE yet | Apache Kafka Connect has the /connector-plugins/{connector-type}/config/validate endpoint on its REST API to validate connector configurations. Apache Kafka Connect also support Configuration Providers which enable to hide the values of sensitive configuration and only resolve them at runtime. An attacker with access to the validate endpoint can use it to resolve and return plaintext values via any of the configuration providers installed on a Connect worker. Users are recommended to upgrade to version 4.2.2, 4.3.2, 4.4.0 or above, which fix this issue. | 17 h ago |
| CVE-2026-115644 | unscored | — | no CPE yet | Apache Kafka Connect contains an authentication bypass vulnerability affecting the admin REST API when admin.listeners is configured with a separate listener from the main listeners property. When operators isolate the admin REST API by explicitly configuring the "admin.listeners" property, REST extensions specified via rest.extension.classes (such as BasicAuthSecurityRestExtension) are not registered or applied to the admin resource configuration. While the primary REST API listener (configured via listeners) enforces configured authentication and authorization filters, endpoints mounted under the separate admin listener (/admin/loggers) fail to inherit or instantiate these extension filters. As a result, the admin logger endpoint accepts unauthenticated read and write requests even when security extensions are active on the main listener. Impact: An unauthenticated attacker with network access to the admin listener can: 1. Read the complete set of logger names and levels, disclosing loaded class names and which security extensions are in use. 2. Write logger levels, including with scope=cluster which propagates the change to all workers in the Connect cluster. This can be used to suppress logging (setting root to OFF) or generate excessive log output (setting root to TRACE), potentially impacting availability and observability. Mitigation: Users who cannot upgrade immediately can remove the admin.listeners configuration (or leave it unset). When unset, admin resources share the regular listener and inherit its security extensions. Resolution: From Apache Kafka 4.2.2, 4.3.2, and 4.4.0, we make sure the REST extensions specified via "rest.extension.classes" will also apply to "admin.listeners". | 17 h ago |
| CVE-2026-114349 | unscored | — | no CPE yet | When a broker decodes a compressed record batch, the per-record decoder reads a declared body size from the decompressed stream and allocates a buffer of that size before validating it against the bytes available or any configured limit. The size is attacker-controlled, and the batch CRC does not constrain it, so a small (around 90-byte), CRC-valid compressed produce request can declare a body size of up to about 2 GiB and force the broker to attempt that allocation, raising OutOfMemoryError. The record size limit (max.message.bytes), the request size limit, and client/broker quotas bound only the compressed wire size, not the declared decompressed size. Impact: An authenticated principal with Write on a topic can crash broker request-handler threads (reached when a batch's codec differs from the topic's compression.type and records are re-encoded) and any consumer that fetches the record, denying service. On brokers started with -XX:+ExitOnOutOfMemoryError, a common hardening, a single crafted request terminates the broker JVM. More seriously, a crafted record is accepted at ingest and written to disk; when the log-cleaner later reads it on a compacted topic, the OutOfMemoryError (an Error, not an Exception) terminates the cleaner thread, which is not restarted. With the default of a single cleaner thread, log compaction then stops for the entire broker, including the internal __consumer_offsets and __transaction_state topics, and the condition persists across restarts until the offending record is removed. The impact is availability only; no data is disclosed or altered. Mitigation: Upgrade to Apache Kafka 4.2.2, 4.3.2, or 4.4.0, and set max.decompressed.message.bytes (at the broker and/or topic level) to a bounded value appropriate for your workload. Upgrading alone is not sufficient: for backward compatibility this configuration defaults to an effectively unlimited value (about 2 GiB), so a broker remains exposed until the limit is set. Choose a value at or slightly above the largest legitimate decompressed record your applications produce, and comfortably below the broker heap divided by the number of request-handler and cleaner threads. Until you can upgrade and configure the limit, restrict Write access to trusted producers; quotas and max.message.bytes do not mitigate this issue. Resolution: From Apache Kafka 4.2.2, 4.3.2, and 4.4.0: the broker validates a record's declared decompressed body size against max.decompressed.message.bytes before allocating, on the produce-validation, log-compaction, and timestamp-lookup paths, and rejects oversized or negative sizes with InvalidRecordException. Operators must set this configuration to a bounded value to be protected, as its default is effectively unlimited. | 17 h ago |
| CVE-2026-111551 | unscored | — | no CPE yet | Several Kafka deserialization paths read a size or count field from input data and use it directly to allocate an array, collection, or byte buffer, with no check against the bytes actually available. A small crafted input can therefore declare a very large size and force a multi-gigabyte allocation. The affected paths are, in Kafka Streams, ProcessorRecordContext (header count), ChangedDeserializer (varint value length), CombinedKeySchema (foreign-key length, which could also produce a negative size), ProcessorMetadata (key length), and AssignmentInfo group-assignment decoding; and, in the clients library, ListDeserializer (used by ListSerde). Impact: An attacker can trigger the oversized allocation and raise an OutOfMemoryError that crashes the affected consumer or Kafka Streams thread; the broker and the rest of the cluster are unaffected. The reachable surface depends on the path: writing a crafted record to a Streams application's internal changelog or repartition topics, or committing crafted offset metadata to its consumer group (Streams internal paths); writing a crafted record to any topic that a consumer reads with ListSerde (ListDeserializer); or, as a member of a Streams consumer group, returning crafted assignment data when elected leader (AssignmentInfo). Because a crafted record remains in its topic, the error can recur on restart. The record size limit (max.message.bytes) does not help, because the allocation is driven by a size field rather than by the input's length. Mitigation: Upgrade to Apache Kafka 4.2.2, 4.3.2, or 4.4.0. Where authorization is enabled, restrict write access to each application's internal topics and consumer group to its own principal, and restrict who can produce to topics that are consumed with ListSerde. Resolution: From Apache Kafka 4.2.2, 4.3.2, and 4.4.0: these deserialization paths validate the declared size against the remaining input before allocating and reject input that fails the check. | 17 h ago |
| CVE-2026-111496 | unscored | — | no CPE yet | Kafka Streams derives its stream-time clock from record timestamps. PunctuationSchedule.next() computed the next punctuation time as timestamp + (intervalsMissed + 1) * interval with no overflow check. A record with a timestamp at or near Long.MAX_VALUE advances stream time to that value, so the next stream-time punctuation overflows to a negative time. PunctuationQueue then re-queues that time and loops on it indefinitely while holding a lock, stalling the StreamThread. Impact: A single record is enough. The affected StreamThread stops processing, and because the record stays in the topic the hang returns on restart; an application whose partitions are all affected becomes unresponsive. Only the Streams application is affected, not the brokers or the cluster. Triggering it needs write access to a source topic whose topology uses stream-time punctuation, and a broker that stores the record: brokers from Apache Kafka 4.0.0 reject such a timestamp by default (log.message.timestamp.after.max.ms, one hour), so it is reachable only on older brokers or where that bound has been relaxed. Mitigation: Upgrade Kafka Streams to 4.2.2, 4.3.2, or 4.4.0. As defense in depth, keep log.message.timestamp.after.max.ms bounded on source topics and restrict write access to them. Resolution: From Apache Kafka 4.2.2, 4.3.2, and 4.4.0: the next punctuation time is computed with overflow-checked arithmetic (clamped to Long.MAX_VALUE), and a rescheduled punctuation is re-queued only when its time moves forward. | 17 h ago |
| CVE-2026-111115 | unscored | — | no CPE yet | Apache Kafka's code-generated readers for flexible protocol versions read a tagged-field count declared by the sender and retain a RawTaggedField object for each unknown field. That count was bounded only by the outer request frame size (socket.request.max.bytes); it was not checked against the remaining buffer bytes or capped. Because each entry can be encoded in as little as two bytes (unknown tag 0, size 0), a modest request can declare tens of millions of tagged fields and force one object allocation per declared field. Flexible request headers (header version 2, used by flexible APIs such as ApiVersions v3) are parsed this way, so the amplification applies to the request header itself. Impact: The flexible request header is parsed on the network thread before authorization, request dispatch, and request-time quota accounting. A client can send a request of a few tens of megabytes whose header declares about 20 million tagged fields, forcing roughly that many RawTaggedField allocations and exhausting broker heap or inducing process-wide GC stalls, denying broker service. Because the header is parsed for pre-authentication APIs such as ApiVersions (v3), the allocation can occur before authentication; no Kafka resource ACL or quota is required. Mitigation: Upgrade to Apache Kafka 4.2.2, 4.3.2, or 4.4.0. Until then, lowering socket.request.max.bytes and restricting network access to broker listeners reduces, but does not remove, exposure. Resolution: From Apache Kafka 4.2.2, 4.3.2, and 4.4.0: generated readers bounds-check the tagged-field count for flexible-versioned messages, rejecting a negative count, a count exceeding the remaining buffer bytes, or a count exceeding a fixed maximum (10,000), before any per-field allocation. | 17 h ago |
| CVE-2026-111108 | unscored | — | no CPE yet | Apache Kafka's code-generated protocol readers pre-size an array's collection from the element count declared by the sender. That count is checked only against the bytes remaining in the request buffer, which assumes about one byte per element; because most elements need several bytes, a request can declare far more elements than the buffer holds and still pass. For a keyed array the reader then allocates an ImplicitLinkedHashCollection of capacity (2 * count +1), so a request of a few tens of megabytes can force a heap allocation several times larger before any element is read. The pattern is emitted into every generated reader, so it affects all Kafka API types with an array field. Impact: Request parsing happens before any authorization check. On a listener that does not require authentication (for example PLAINTEXT), an unauthenticated attacker can send a few concurrent requests that each declare a very large= array length and allocate many times their wire size in broker heap, crashing the broker with an OutOfMemoryError. The reporter demonstrated three concurrent ~90 MB ProduceRequest (v3) connections exhausting a 1 GB heap (~8x amplification). On listeners that require authentication, the attacker needs valid credentials but no specific ACL, since parsing precedes authorization.. Mitigation: Upgrade to Apache Kafka 4.2.2, 4.3.2, or 4.4.0. Until then, lowering socket.request.max.bytes and restricting network access to broker listeners reduces, but does not remove, exposure. Resolution: From Apache Kafka 4.2.2, 4.3.2, and 4.4.0: generated readers cap the initial array pre-allocation at MessageUtil.MAX_PREALLOCATED_ARRAY_CAPACITY (1000) and grow it on demand, and reject a declared array length above MessageUtil.MAX_ARRAY_LENGTH (1,000,000). | 17 h ago |
| CVE-2026-111073 | unscored | — | no CPE yet | The broker-side PushTelemetry API (KIP-714) validates only the compressed size of a client's metrics payload against telemetry.max.bytes (default 1 MB) before decompressing it. ClientTelemetryUtils.decompress() then decompresses the payload with no limit on the decompressed output size, growing a heap buffer until the compressed input is exhausted. A small, highly compressible payload (for example gzip-compressed zeros) can therefore expand to hundreds of megabytes of broker heap. Impact: An authenticated client can send a PushTelemetry request with a small compressed payload that decompresses to a very large size, consuming broker heap out of proportion to the request size. Repeated or concurrent requests can exhaust the broker heap and cause an OutOfMemoryError, degrading or crashing the broker; a client that targets multiple brokers can affect cluster availability. PushTelemetry is available to any authenticated client and is not gated by an ACL. Mitigation: Upgrade to Apache Kafka 4.2.2, 4.3.1, or 4.4.0. On affected versions there is no configuration that fully prevents the amplification, because telemetry.max.bytes bounds only the compressed size; lowering telemetry.max.bytes reduces the worst-case decompressed size proportionally and is a partial mitigation. Resolution: - From Apache Kafka 4.2.2, 4.3.1, and 4.4.0: ClientTelemetryUtils.decompress() enforces a maximum decompressed size equal to telemetry.max.bytes (default 1 MB). Decompression reads in bounded chunks and aborts with a TelemetryTooLargeException once the decompressed total exceeds the limit, so an over-large or highly compressible payload is rejected instead of being fully expanded in heap. The decompressed size is therefore bounded by default. | 17 h ago |
| CVE-2026-112375 | unscored | — | no CPE yet | An authenticated Kafka principal with no authorization grants (not even ALTER_CONFIGS) can make a broker read a file or an environment variable from the broker host and return its contents. An IncrementalAlterConfigs (or AlterConfigs) request targeting a BROKER resource reaches the broker's configuration validation before any authorization check is applied to that path. Validation resolves configuration variables such as ${file:/path:key} or ${env:VAR} using a ConfigProvider named in the request, and this resolution bypasses the org.apache.kafka.automatic.config.providers allowlist that was added as the mitigation for CVE-2024-31141. An arbitrary ConfigProvider (for example FileConfigProvider or EnvVarConfigProvider) is therefore instantiated and the referenced file or environment variable is read, and a type-validation error returns the resolved content to the caller. Impact: On a cluster with an authorizer enabled, an authenticated principal with no authorization grants can read the contents of files accessible to the broker process, and the broker's environment variables, exposing credentials, keystores, or other secrets, defeating the CVE-2024-31141 allowlist. The read is bounded by the broker process's file permissions. The brokers and the cluster remain available; the issue is disclosure of file and environment- variable contents. Clusters with no authorizer configured are not affected in practice, because every principal already holds ALTER_CONFIGS there. Mitigation: Upgrade to Apache Kafka 4.2.2, 4.3.2, or 4.4.0. As defense in depth, run brokers under a least-privileged operating-system account so that sensitive files are not readable by the broker process. Resolution: From Apache Kafka 4.2.2, 4.3.2, and 4.4.0: broker configuration changes are authorized (ALTER_CONFIGS on the cluster) before the configuration is validated, and configuration- variable resolution enforces the config-providers allowlist. | 20 h ago |
| CVE-2026-110985 | unscored | — | no CPE yet | A Kafka broker using SASL/OAUTHBEARER with the default validator (sasl.oauthbearer.jwt.validator.class=DefaultJwtValidator) selects its implementation from configuration. When sasl.oauthbearer.jwks.endpoint.url is set, the validator verifies the JWT signature. When that URL is unset (the default) and no verification key resolver is supplied, DefaultJwtValidator silently falls back to ClientJwtValidator, which does not verify the JWT signature, algorithm, or issuer - and the broker starts with no warning or error. This is the residual of CVE-2026-33557, whose fix restored signature verification only on the path where the JWKS endpoint URL is set. Impact: A broker in this state accepts any structurally valid JWT, including "alg":"none" tokens. An unauthenticated remote attacker who can reach the listener can forge a token asserting any principal - including configured superusers - and gain full access to the cluster. Only brokers that enable SASL/OAUTHBEARER validation without a JWKS endpoint URL (and without a custom verification key resolver) are affected; brokers that set the URL verify signatures and are not affected. Unlike CVE-2026-110952 (issuer/audience not enforced by default), here no signature is verified at all. Mitigation (all affected versions, no upgrade required): Set sasl.oauthbearer.jwks.endpoint.url for every listener/mechanism that uses OAuthBearerValidatorCallbackHandler, or configure a signature-verifying sasl.oauthbearer.jwt.validator.class. Resolution: From Apache Kafka 4.2.2, 4.3.1, and 4.4.0: a broker that would fall back to the non-verifying ClientJwtValidator fails to start with a ConfigException instead of running without signature verification (secure by default). | 20 h ago |
| CVE-2026-110952 | unscored | — | no CPE yet | A Kafka broker that authenticates clients with SASL/OAUTHBEARER using the bundled JWKS-backed validator always verifies the JWT signature, but two further checks are only performed when explicitly configured: - The issuer (iss) claim is verified only when sasl.oauthbearer.expected.issuer is set. When it is unset, a validly-signed token carrying the expected audience is accepted regardless of which issuer minted it. - An audience (aud) claim is required only when sasl.oauthbearer.expected.audience is set. When it is unset, a validly-signed token that omits the aud claim is accepted. (A token that carries an aud claim is still rejected when no expected audience is configured.) Both options default to unset and have been documented as optional (Importance LOW) since KIP-768 (3.1.0). Impact: The exposure is realizable mainly in deployments whose JWKS endpoint serves signing keys for more than one issuer (a multi-tenant identity provider, an aggregated/shared JWKS, or shared signing keys): a token minted for a different issuer, or a token lacking an audience, may be accepted to authenticate — potentially as a higher-privileged principal. In a single-issuer deployment where the provider controls the iss claim and issues audience-scoped tokens, exposure is limited. The signature trust anchor remains enforced in all cases. This is distinct from CVE-2026-33557 (acceptance of unsigned/unvalidated tokens); here the signature is validated and only the issuer/audience checks are not enforced by default. Mitigation (all affected versions, no upgrade required): Set both sasl.oauthbearer.expected.issuer (to your provider's exact iss value) and sasl.oauthbearer.expected.audience (to the audience(s) your brokers expect), per listener. Brokers that set these perform exact-match issuer/audience checks and are not affected. Both have been available since 3.1.0. Resolution: - From Apache Kafka 4.4.0: a broker configured with a JWKS endpoint fails to start unless both sasl.oauthbearer.expected.issuer and sasl.oauthbearer.expected.audience are set (secure by default). Deployments that intentionally do not restrict the issuer and/or audience may opt out per axis with sasl.oauthbearer.allow.unverified.issuer=true and/or sasl.oauthbearer.allow.unverified.audience=true. | 20 h ago |
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EPSS scores: 2026-10-28. NVD cursor: 2026-10-29 00:22. The News page shows only notable CVEs (KEV, your stack, new criticals, EPSS over 50%, or active exploitation per SSVC); this table has all of them.