| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| The RTMP AMF parser in Apache bRPC accepts AMF string lengths and array counts directly from untrusted input. A remote unauthenticated attacker who can reach a bRPC server with RTMP enabled can send a small AMF payload with an excessive declared long string length or array count, causing excessive memory allocation or resource consumption before the parser rejects the incomplete payload.
Root Cause:
The AMF long string parser resized the destination string to the declared 32-bit length before validating that the stream contained that many bytes. ECMA array and strict array parsers also accepted 32-bit element counts without a configurable upper bound.
Affected Scenarios:
Deployments that enable the bRPC RTMP server component and accept RTMP traffic from untrusted clients. Direct uses of the AMF parser on untrusted data are also affected.
How to Fix:
1. Upgrade bRPC to version 1.18.0, which fixes this issue.
2. Apply this patch: https://github.com/apache/brpc/pull/3353
Note:
The fix introduces configurable AMF parsing limits. The default maximum string size is 64 MiB and the default maximum array element count is 1,048,576. Payloads above these limits are rejected. The limits can be adjusted with amf_max_string_size and amf_max_array_size. |
| Uncontrolled recursion in the AMF parser in Apache bRPC < 1.18.0 allows a remote RTMP peer to crash a bRPC process by sending deeply nested AMF objects or arrays. The parser recursively processed nested AMF containers without enforcing a depth limit, which could exhaust the native stack.
Affected Scenarios:
Applications using bRPC RTMP support and parsing AMF data from an untrusted RTMP peer. This includes RTMP servers parsing client command messages, RTMP clients parsing server responses or status messages, and either side parsing inbound AMF script data such as metadata or cue points. Direct callers of ReadAMFObject or ReadAMFArray on untrusted input are also affected.
How to Fix:
1. Upgrade Apache bRPC to 1.18.0.
2. Apply the patch from PR https://github.com/apache/brpc/pull/3344 .
Note:
The fix introduces a configurable AMF nesting depth limit with default value 128. AMF objects or arrays deeper than amf_max_depth are rejected after applying the fix. |
| Uncontrolled recursion in the Redis reply parser in Apache bRPC < 1.18.0 allows a remote Redis server peer to crash a bRPC Redis client process by returning a deeply nested RESP array reply. The parser recursed once for each nested array level without enforcing a depth limit. The fix adds a configurable Redis reply depth limit with default value 128 and rejects replies exceeding that limit.
Affected Scenarios:
Applications using bRPC as a Redis client with ChannelOptions.protocol="redis" and receiving replies from an untrusted or faulty Redis server peer.
How to Fix:
1. Upgrade Apache bRPC to 1.18.0.
2. Apply the patch from PR https://github.com/apache/brpc/pull/3344 .
Note:
After applying the fix, Redis replies with array nesting deeper than redis_max_reply_depth are rejected. |
| Uncontrolled recursion in the HTTP/2 HPACK decoder in Apache bRPC before 1.18.0 allows remote attackers to cause denial of service by sending a crafted HTTP/2 header block containing many consecutive Dynamic Table Size Update entries. Each update was decoded by recursively invoking the HPACK decoder, which could exhaust the thread stack before a header field or end of input was reached.
Root Cause:
The bRPC HPACK decoder recursively decoded the next entry after processing a Dynamic Table Size Update. The decoder did not bound the recursion depth, so a long sequence of update entries could consume excessive stack space.
Affected Scenarios:
Use bRPC with the built-in HTTP/2 implementation to accept HTTP/2 traffic from an untrusted network.
How to Fix:
1. Upgrade bRPC to version 1.18.0, which fixes this issue.
2. Apply this patch: https://github.com/apache/brpc/pull/3343
Note:
The fix changes HPACK Dynamic Table Size Update decoding to use iterative parsing instead of recursive parsing. |
| Improper authentication in Apache bRPC through 1.17.0 allows a remote unauthenticated attacker to bypass authentication for protected non-builtin HTTP endpoints by first sending a builtin HTTP request on the same HTTP/1.1 keep-alive connection.
When ServerOptions.auth is enabled and builtin HTTP services are exposed on the public listener, a builtin request received as the first message on a socket may cause the connection to be treated as authenticated for later requests on that socket. Users are recommended to upgrade to version 1.18.0, which fixes this issue, or apply this PR separately: https://github.com/apache/brpc/pull/3308 |
| 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. |
| 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. |
| 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". |
| Pass-through of unvalidated KMS URLs to KMS clients in Apache C++ Parquet and PyArrow versions 4.0.0 to 25.0.1.
This affects users who read Parquet files and configure Parquet decryption properties with a KmsClient implementation.
On the reader side, the KMS URL can be application-controlled (specified in the KmsConnectionConfig) or file-controlled.
If the user does not leverage application control for this parameter, a file-controlled KMS URL is forwarded to a pluggable KmsClient implementation.
If the KMS implementation does not perform host validation and makes use of the provided KMS URL, a KMS token can be sent to a malicious host set by an attacker in the file.
Users are recommended to upgrade to version 26.0.0, which disables this behavior by default and requires that users opt-in to it by enabling the read_kms_url flag in the DecryptionConfiguration. Users of affected versions are recommended to either specify the KMS URL in the KmsConnectionConfig when reading files, or ensure any KmsClient implementations validate received KMS URLs. Users that opt-in to file-controlled KMS URLs in version 26.0.0 and later must ensure KmsClients validate KMS URLs. |
| ** UNSUPPORTED WHEN ASSIGNED ** Improper neutralization of special elements used in an SQL command ('SQL injection') vulnerability in Apache Cocoon.
This issue affects Apache Cocoon: all versions.
Missing input sanitation would allow arbitrary SQL injection through the SQL processor or sql:/esql: logicsheets.
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. |
| ** UNSUPPORTED WHEN ASSIGNED ** Improper restriction of recursive entity references in DTDs ('XML entity expansion') vulnerability in Apache Cocoon.
This issue affects Apache Cocoon: all versions. XEE in the fp: form processor could lead to SSRF, including exposing files from the server to an untrusted external system
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. |
| Incomplete cleanup vulnerability in Apache Tomcat could cause TLS 1.3 connections to fail intermittently.
This issue affects Apache Tomcat: from 11.0.0-M21 through 11.0.26, from 10.1.25 through 10.1.60, from 9.0.90 through 9.0.122.
Users are recommended to upgrade to version 11.0.27, 10.1.61 or 9.0.123, which fix the issue. |
| Incomplete cleanup vulnerability in Apache Tomcat allowed an trailer information from a previous request to leak into a subsequent request.
This issue affects Apache Tomcat: from 11.0.0-M23 through 11.0.26, from 10.1.27 through 10.1.60, from 9.0.92 through 9.0.122.
Users are recommended to upgrade to version 11.0.27, 10.1.61 or 9.0.123, which fix the issue. |
| Apache Airflow Amazon provider: the AWS auth manager's SAML login flow does not bind the authentication response to the browser that began it. The login handler discards the AuthnRequest ID and the callback validates the assertion without requiring a matching InResponseTo, so an unauthenticated attacker who can cause a victim to load a page can complete a SAML login in the victim's browser using the attacker's own assertion, silently logging the victim into the attacker's Airflow account. Subsequent work the victim performs lands in a session the attacker controls.
Affects deployments using the AWS auth manager with SAML authentication. The victim needs only to visit an attacker-controlled page; no Airflow account or credential is required of the attacker. This is the same login-CSRF class fixed in the Keycloak auth manager as CVE-2026-40948.
Users of apache-airflow-providers-amazon are recommended to upgrade to version 9.38.0, which fixes the issue. |
| Time-of-check time-of-use (TOCTOU) race condition vulnerability in Apache Tomcat when creating unix domain sockets for the APR/Native connector allows an unauthorised local user to access the unix domain socket. The fix for CVE-2026-65183 only addressed the NIO connector. It did not address the same issue in the APR/Native connector.
This issue affects Apache Tomcat: from 9.0.47 through 9.0.122.
Users are recommended to upgrade to version 9.0.123, which fixes the issue. |
| Execution After Redirect (EAR) vulnerability in Apache Tomcat.
This issue affects Apache Tomcat: from 11.0.0-M1 through 11.0.26, from 10.1.0-M1 through 10.1.60, from 9.0.0.M1 through 9.0.122.
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, from 7.0.0 through 7.0.109. Other unsupported versions may also be affected.
Users are recommended to upgrade to version 11.0.27, 10.1.61, 9.0.123, which fixes the issue. |
| Not Failing Securely ('Failing Open') vulnerability in Apache Tomcat. If the OpenSSLLifecycleListener is configured to use FIPS mode but FIPS activation fails, Tomcat logs and error but continues to use JSSE in non-FIPS mode with the provided configuration.
This issue affects Apache Tomcat: from 11.0.0-M14 through 11.0.26, from 10.1.22 through 10.1.60, from 9.0.92 through 9.0.122.
Users are recommended to upgrade to version 11.0.27, 10.1.61 or 9.0.123, which fix the issue. |
| ** UNSUPPORTED WHEN ASSIGNED ** Use of cache containing sensitive information vulnerability in Apache Cocoon. When using the cache on a multi-user application, cached values for one user could be used when serving content for other users.
This issue affects Apache Cocoon: 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. |
| 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. |
| 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. |
