| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal') vulnerability in Apache Camel Docling component.
This issue affects Apache Camel: from 4.15.0 before 4.18.5, from 4.19.0 before 4.22.2.
DoclingProducer runs the external docling tool in CLI mode, the default, and tells it where to write the converted document through the --output flag. When the CamelDoclingOutputFilePath header was set, addOutputDirectoryArguments handed its value to that flag verbatim: the value was not normalized, an absolute path or a path containing .. segments was accepted as given, and no endpoint option could confine it to a directory. The custom-argument validation added by the fix for CVE-2026-40047 refuses the --output and -o flags in the CamelDoclingCustomArguments header and tells callers to choose the output directory with this header instead, so the one value that decides where docling writes reached the command line without any of the checks applied to custom arguments. Docling writes the conversion result, as Markdown, HTML, JSON or text, into that directory, naming the file after the input file, and the producer afterwards removes only its own temporary directory, so the file is left in place. A party able to set the header could therefore have conversion output created in any directory the Camel process can write to. The content of such a file is the conversion of the document carried by the message, so it is shaped by whoever supplies that document without being written byte for byte, and when the document content arrives in the message body the producer stores it under a random temporary name, which the output file then carries. The header belongs to the Camel header namespace, which consumers applying Camel's default header filtering, such as the JMS and Kafka consumers, remove from incoming messages, so the issue is reached where a route forwards externally influenced values into the header or where a consumer maps incoming headers without that filtering. The docling-serve mode does not use the header.
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 fix adds an outputBaseDirectory endpoint option that is unset by default, so after upgrading, set it on every docling endpoint whose CamelDoclingOutputFilePath header can carry a value influenced from outside the deployment; without it the header is normalized but can still name any directory. The 4.15.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. For deployments that cannot upgrade immediately, do not build the CamelDoclingOutputFilePath header from values that originate outside the deployment, remove that header from messages that arrive from outside before they reach a docling endpoint, and make sure that consumers which map incoming message headers drop the Camel header namespace, so that only the route itself chooses the output directory. |
| Insufficient Session Expiration vulnerability in Apache Camel Keycloak component.
This issue affects Apache Camel: from 4.16.0 before 4.18.5, from 4.19.0 before 4.22.2.
When token introspection is enabled on the camel-keycloak KeycloakSecurityPolicy (useTokenIntrospection=true), the security processor validates the access token of a request by sending it to Keycloak's OAuth 2.0 token introspection endpoint, and accepts the token while the response reports it as active. The introspection endpoint reports a token as inactive once its exp (expiration) time has passed, so on this path the active flag is what enforces token expiry. Introspection results are cached by default (introspectionCacheEnabled=true, introspectionCacheTtl=60 seconds), and both cache implementations shipped with the component, ConcurrentMapTokenCache and CaffeineTokenCache, expired an entry a fixed time after it was inserted, without bounding that lifetime by the exp claim that the cached response already carried. KeycloakSecurityProcessor in turn checked only the active flag of the result, on every path that uses introspection, and never compared exp with the current time. A response cached shortly before the token expired was therefore served to later requests carrying the same token for up to the configured time-to-live after the token's expiry, and those requests were admitted with the roles and permissions the expired token had carried, although RFC 7662, which defines token introspection, states that a response containing exp must not be cached beyond that time. The access token is supplied by the caller with each request, typically as a bearer token in the Authorization header, so a caller holding a token that was valid moments earlier could keep using it after it expired, for as long as the cached entry lived. The window is bounded by introspectionCacheTtl, which is 60 seconds by default and 300 to 600 seconds where the documentation's recommendation for internal services was followed, and it opens only for a token that the same Camel process introspected and cached while the token was still active. The issue grants nothing beyond what the token already carried: it allows no token forgery and no privilege escalation, and token introspection is not enabled by default, which is why the severity is assessed medium. The local JWT verification path, used when introspection is disabled, is not affected by this issue.
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 4.16.x, 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. For deployments that cannot upgrade immediately, set introspectionCacheEnabled=false on the KeycloakSecurityPolicy, so that every request is checked against the introspection endpoint, which reports an expired token as inactive, at the cost of one introspection call per request. Lowering introspectionCacheTtl only narrows the window and does not close it. |
| Improper Neutralization of Special Elements Used in a Template Engine ('Server-Side Template Injection') in Apache OFBiz 24.09 before 24.09.08 on all platforms allows a remote authenticated attacker holding only a stock non-administrative account to execute arbitrary operating system commands as the OFBiz process user, by using the updateLayoutImage event, which writes DataResource fields with no permission check, to retype an attacker-created DataResource as an FTL template evaluating its own primary key, then using the resulting FreeMarker evaluation to plant an OFBiz Form Widget whose use-when attribute runs unsandboxed Groovy. Users are recommended to upgrade to version 24.09.08, which fixes this issue. |
| 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. |
| 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. |
| 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. |
| 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. |
| Authenticated Path Traversal in Catalog Image Management allows writing image files outside the intended directory in Apache OFBiz.
This issue affects Apache OFBiz: before 24.09.08.
Users are recommended to upgrade to version 24.09.08, which fixes the issue. |
| 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. |
| 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. |
| Improper Control of Resource Identifiers ('Resource Injection') vulnerability in Apache OFBiz.
An authenticate user with access to sfa component can override the service to use on vcard import and access to other service.
This issue affects Apache OFBiz: before 24.09.08.
Users are recommended to upgrade to version 24.09.08, which fixes the issue. |
| 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. |
| 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. |
| 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. |
| Inconsistent interpretation of HTTP requests ('HTTP Request/Response smuggling') vulnerability in Apache Sling Engine. The engine's query/form parser accepts non-standard percent-escapes, wrong charsets, and continues request processing on such errors.
This issue affects Apache Sling Engine: before 3.0.4.
Users are recommended to upgrade to version 3.0.4, which fixes the issue. |
| Improper output neutralization for logs in Apache Sling Engine.
This issue affects Apache Sling Engine: before 3.0.4.
Users are recommended to upgrade to version 3.0.4, which fixes the issue. |
| Improper neutralization of input during web page generation ('cross-site scripting') vulnerability in Apache Sling Engine. Content-Type, charset, and redirect changes from an included component evade the protectheaders / checkcontenttype enforcement through setHeader(), repeated calls to setContentType(), the charset APIs, Servlet 6.1 redirect overloads, and stale config - enabling stored XSS despite enabled protections.
This issue affects Apache Sling Engine before 3.0.4.
Users are recommended to upgrade to version 3.0.4, which fixes the issue. |
| 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). |
| 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). |
| 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. |
