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Critical/high still unreviewed, or CISA KEV listed
Use of Externally-Controlled Input to Select Classes or Code ('Unsafe Reflection') vulnerability in Apache IoTDB. The pipe processor reads a fully qualified Java class name and instantiates it using Class.forName().newInstance() without any validation or allowlisting. This issue affects Apache IoTDB: from 1.0.0 before 2.0.10. Users are recommended to upgrade to version 2.0.10, which fixes the issue.
Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal') vulnerability in Apache IoTDB. An attacker can write arbitrary files anywhere the IoTDB process has write permissions with unsafe API. This issue affects Apache IoTDB: from 1.0.0 before 2.0.10. Users are recommended to upgrade to version 2.0.10, which fixes the issue.
Insufficient Session Expiration, Authentication Bypass by Capture-replay vulnerability in Apache IoTDB. REST Basic Authentication Accepts Stale Cached Credentials This issue affects Apache IoTDB: from 1.0.0 before 2.0.10. Users are recommended to upgrade to version 2.0.10, which fixes the issue.
Unauthenticated callers can supply a malicious H2 JDBC URL through the testConnection API, which executes arbitrary Java code on the server via H2's INIT parameter. Vulnerability in Apache Gravitino. This issue affects Apache Gravitino: before 1.2.1. Users are recommended to upgrade to version 1.2.1, which fixes the issue. This issue only happens when using H2, and H2 is mainly used for testing and local development. Also, Gravitino is typically deployed in the internal environment, so the severity is low.
A bug in `BaseSerialization.deserialize()` allowed unrestricted `import_string()` of attacker-controlled class paths when the Scheduler / API Server loaded a serialized DAG: a DAG author could embed a malicious trigger into a DAG to gain remote code execution on the API Server / Scheduler process, crossing the Airflow security boundary that DAG-author code must never execute in those processes. Users are advised to upgrade to `apache-airflow` 3.3.0 or later. As a defense-in-depth mitigation, deployments where DAG-author trust is limited can restrict the `[core] allowed_deserialization_classes` config to a narrow allowlist.
Improper Input Validation vulnerability in Apache Camel AWS SNS component. The camel-aws2-sns component filters Camel headers through a component-specific HeaderFilterStrategy, Sns2HeaderFilterStrategy. Like the sibling Sqs2HeaderFilterStrategy, it originally configured only an outbound filter (setOutFilterPattern, which blocks Camel*, breadcrumbId and org.apache.camel.* headers from being written out) and did not configure an inbound filter rule. As part of the same fix (CAMEL-23506), an inbound filter rule (setInFilterStartsWith for the Camel namespace) was added to Sns2HeaderFilterStrategy so that its configuration matches the corrected Sqs2HeaderFilterStrategy and the other sibling strategies. This is a defense-in-depth alignment with no known exploit path in camel-aws2-sns. 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 who want the aligned behaviour can upgrade to version 4.21.0, or to 4.14.8 on the 4.14.x LTS releases stream, or to 4.18.3 on the 4.18.x releases stream, which contain the change. As a general best practice, operators should continue to apply least-privilege IAM permissions on their SNS topics.
Improper Authentication, Missing Authentication for Critical Function, Not Failing Securely ('Failing Open') vulnerability in Apache Camel Keycloak Component. The KeycloakSecurityPolicy of camel-keycloak guards a route by running KeycloakSecurityProcessor.beforeProcess(), which performs three checks in sequence: it rejects a request that carries no access token, then - only if requiredRoles is non-empty - validates the roles, and - only if requiredPermissions is non-empty - validates the permissions. The actual cryptographic verification of the bearer access token (signature, issuer and expiry for a local JWT, or active-state and issuer for token introspection) is performed exclusively inside those role and permission checks. KeycloakSecurityPolicy defaults requiredRoles and requiredPermissions to empty - which is the documented 'Basic Setup' - so on a route configured that way the role and permission checks are skipped and the access token is therefore never verified. The token-presence check still rejects a missing token, but an invalid token is accepted: any non-null value in the Authorization: Bearer header - including an arbitrary string or a forged, unsigned JWT - passes the policy and the request reaches the protected route, with no signature, issuer or expiry check and no request to Keycloak.
Improper Input Validation, Server-Side Request Forgery (SSRF) vulnerability in Apache Camel DNS component. The camel-dns producers read DNS operation parameters - the resolver to query, the name or domain to look up, the record type and class, and the search term - from Exchange message headers whose constant values (DnsConstants.DNS_SERVER, DNS_NAME, DNS_DOMAIN, DNS_TYPE, DNS_CLASS, TERM) were the plain strings dns.server, dns.name, dns.domain, dns.type, dns.class and term. Because these names do not start with the Camel / camel prefix, HttpHeaderFilterStrategy - which blocks only the Camel header namespace on the HTTP boundary - let them pass from an inbound HTTP request straight into the Exchange. In a route that bridges an HTTP consumer (for example platform-http) into a dns: producer, any HTTP client could therefore set the dns.server header to make the dig producer build a SimpleResolver pointing at an attacker-controlled DNS server - a server-side request forgery via DNS, through which the attacker observes the queried name and can return poisoned responses - and set the dns.name / dns.domain headers to resolve arbitrary internal hostnames, disclosing whether they exist (internal network reconnaissance). No credentials are required when the bridging consumer is unauthenticated.
Improper Input Validation, Improper Access Control vulnerability in Apache Camel in Camel Mongodb Gridfs component. The camel-mongodb-gridfs producer selects the GridFS operation to perform from the gridfs.operation Exchange header when the endpoint's operation parameter is not set - which is the default. The control-header constants (GridFsConstants.GRIDFS_OPERATION, GRIDFS_OBJECT_ID, GRIDFS_METADATA, GRIDFS_CHUNKSIZE, GRIDFS_FILE_ID_PRODUCED) were the plain strings gridfs.operation, gridfs.objectid, gridfs.metadata, gridfs.chunksize and gridfs.fileid. Because these names do not start with the Camel / camel prefix, HttpHeaderFilterStrategy - which blocks only the Camel header namespace on the HTTP boundary - let them pass from an inbound HTTP request straight into the Exchange. In a route that bridges an HTTP consumer (for example platform-http) into a mongodb-gridfs: producer with no explicit operation, any HTTP client could therefore set the gridfs.operation header to override the route's intended operation - switching, for example, a file upload to remove (deleting a file identified by the attacker-supplied gridfs.objectid), listAll (enumerating every file in the bucket) or findOne (reading a file) - and supply a gridfs.metadata value that is parsed as a MongoDB document, enabling NoSQL operator injection.
Improper Neutralization of Special Elements in Output Used by a Downstream Component ('Injection'), Improper Input Validation, Server-Side Request Forgery (SSRF) vulnerability in Apache Camel Solr component. The camel-solr producer copies Exchange message headers whose names begin with the SolrParam. prefix into the parameters of the Solr request, and headers whose names begin with the SolrField. prefix into the fields of the indexed Solr document. The prefix constants (SolrConstants.HEADER_PARAM_PREFIX / HEADER_FIELD_PREFIX) were the plain strings SolrParam. / SolrField.. Because these names do not start with the Camel / camel prefix, HttpHeaderFilterStrategy - which blocks only the Camel header namespace on the HTTP boundary - let them pass from an inbound HTTP request straight into the Exchange. In a route that bridges an HTTP consumer (for example platform-http) into a solr: producer, any HTTP client could therefore set SolrParam.* headers to inject arbitrary Solr request parameters - including shards or stream.url, which cause the Solr server to issue server-side requests to an attacker-chosen URL (server-side request forgery, for example to an internal service or a cloud metadata endpoint), or qt to reach administrative request handlers - and set SolrField.* headers to inject arbitrary fields into indexed documents.
Improper Input Validation vulnerability in Apache Camel AWS2-SQS Component. The camel-aws2-sqs component map inbound message attributes into the Camel Exchange through a component-specific HeaderFilterStrategy. Sqs2HeaderFilterStrategy configured only an outbound filter (setOutFilterPattern, which blocks Camel*, breadcrumbId and org.apache.camel.* headers being written to the broker) but did not configure an inbound filter. As a result, when Sqs2Consumer copies each SQS MessageAttribute into the Exchange via HeaderFilterStrategy.applyFilterToExternalHeaders, DefaultHeaderFilterStrategy applied no inbound rule and treated every header name as not filtered - including Camel-internal control headers such as CamelHttpUri, CamelFileName or CamelSqlQuery - copying them unmodified onto the Camel message. Any principal able to send messages to the consumed SQS queue (for example a cross-account sender or a lower-privileged in-account component holding sqs:SendMessage) could therefore set arbitrary Camel control headers that influence the behaviour of downstream producers in the route (for example redirecting an HTTP producer, changing a file name, or overriding a query); the injected headers also persist across internal direct, seda and vm hops. The concrete downstream impact depends on which producers the route uses.
Insufficient Session Expiration vulnerability in Apache Camel Keycloak Component. The camel-keycloak security helper KeycloakSecurityHelper.parseAndVerifyAccessToken builds a Keycloak TokenVerifier using withChecks(...) with only the subject-exists check and the realm-URL (issuer) check. Keycloak's TokenVerifier.withChecks(...) appends to an initially empty check list - the upstream default checks are installed only when withDefaultChecks() is called - so the built-in IS_ACTIVE predicate, which validates the token's exp (expiration) and nbf (not-before) claims, is never applied. As a result the helper verifies the token signature, subject and issuer but does not enforce the token's validity window: an access token that is expired, or not yet valid, is accepted as valid. Routes that rely on this helper to authenticate inbound requests therefore accept access tokens that are outside their intended lifetime. This issue affects Apache Camel: from 4.18.0 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 4.18.x releases stream, then they are suggested to upgrade to 4.18.3. The fix makes KeycloakSecurityHelper.parseAndVerifyAccessToken include the TokenVerifier.IS_ACTIVE check so that expired or not-yet-valid access tokens are rejected, aligning the helper with Keycloak's default check set.
Improper Input Validation vulnerability in Apache Camel Cometd Component. The camel-cometd component maps inbound Bayeux (CometD) message headers into the Camel Exchange without applying a HeaderFilterStrategy. CometdBinding.populateExchangeFromMessage copies the entire ext.CamelHeaders map supplied by the CometD client directly onto the Camel message (message.setHeaders), so any header name - including Camel-internal control headers such as CamelHttpUri, CamelFileName or CamelJmsDestinationName - is accepted unmodified. Because a CometdComponent installs no Bayeux SecurityPolicy by default, any client that can complete the Bayeux handshake against the CometD endpoint can publish such a message without authentication. An attacker can therefore inject arbitrary Camel control headers that influence the behaviour of downstream producers in the route (for example redirecting an HTTP producer, changing a file name, or overriding a JMS destination); the injected headers also persist across internal direct, seda and vm hops. The concrete downstream impact depends on which producers the route uses. 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.
Deserialization of Untrusted Data vulnerability in Apache Camel PQC Component. The camel-pqc component persists post-quantum key metadata (KeyMetadata) through pluggable KeyLifecycleManager implementations. AwsSecretsManagerKeyLifecycleManager.deserializeMetadata() reads that metadata back from the configured AWS Secrets Manager secret by Base64-decoding the stored value and deserializing it with a raw java.io.ObjectInputStream.readObject() and no ObjectInputFilter or class allow-list; the cast to KeyMetadata happens only after readObject() returns, so any readObject() side effects in a crafted object run before the type check. A principal who can write to the AWS Secrets Manager secret that holds this metadata (requiring secretsmanager:PutSecretValue on that secret) could store a crafted serialized object that is deserialized during normal key-lifecycle operations, potentially leading to code execution in the context of the application that manages the keys. This is the same underlying defect, in the same code path and remediated by the same fix, as CVE-2026-46590, which was reported independently and additionally covers the HashiCorp Vault and file-based sibling managers; both are incomplete-remediation follow-ons to CVE-2026-40048 (CAMEL-23200). This issue affects Apache Camel: from 4.18.0 before 4.18.3, from 4.19.0 before 4.21.0.
Improper Neutralization of Argument Delimiters in a Command ('Argument Injection') vulnerability in Apache Camel Docling component. The camel-docling component invokes the external `docling` command-line tool by assembling an argument list in DoclingProducer and executing it through java.lang.ProcessBuilder. Custom CLI arguments supplied through the `CamelDoclingCustomArguments` exchange header (a List<String>) were appended to that argument list with insufficient validation: the original implementation relied on a denylist of disallowed flags and only rejected path values that contained a literal `../` sequence. As a result, a Camel route that forwards externally-influenced data into the `CamelDoclingCustomArguments` header (or into the path-bearing headers used to build the invocation) could cause the producer to pass unrecognized or unintended `docling` CLI flags to the subprocess, and could supply path-like argument values that resolved outside the intended directory through traversal sequences not caught by the literal `../` check. Because Camel itself builds the `docling` invocation from these values, the component is responsible for constraining them, and the weak validation allowed CLI-argument injection and directory traversal in the arguments passed to the external tool.
Apache IoTDB DataNode’s internal RPC interface for creating Trigger instances uses the uploaded Trigger JAR name to build a file path without sufficient validation. If the internal DataNode RPC port is exposed to an untrusted network, an attacker may use path traversal sequences in the JAR name to write files outside the intended Trigger installation directory. This could allow arbitrary file write with the permissions of the IoTDB process. This issue affects Apache IoTDB: from 1.3.3 before 2.0.8. Users are recommended to upgrade to version 2.0.8, which fixes the issue.
Authentication Bypass by Spoofing vulnerability in Apache IoTDB. Certain Thrift RPC query handlers lack strict validation of the sessionId parameter. An attacker can construct requests with a forged sessionId and, without performing openSession authentication, receive valid query results. This allows authentication bypass and unauthorized reading of time-series data. This issue affects Apache IoTDB: from 1.3.3 before 2.0.8. Users are recommended to upgrade to version 2.0.8, which fixes the issue.
In Apache Iceberg, the table's metadata files are control files: they tell readers which data files belong to the table and which table version to read. `write.metadata.path` is an optional table property that tells Polaris where to write those metadata files. For a table already registered in a Polaris-managed catalog, changing only that property through an `ALTER TABLE`-style settings change (not a row-level `INSERT`, `SELECT`, `UPDATE`, or `DELETE`) bypasses the commit-time branch that is supposed to revalidate storage locations. The full persisted / credential-vending variant requires the affected catalog to have `polaris.config.allow.unstructured.table.location=true`, with `allowedLocations` broad enough to include the attacker-chosen target. `allowedLocations` is the admin-configured allowlist of storage paths that the catalog is allowed to use. Public project materials suggest that this flag is a real supported compatibility / layout mode, not just a contrived lab-only prerequisite. In that configuration, a user who can change table settings can cause Apache Polaris itself to write new table metadata to an attacker-chosen reachable storage location before the intended location-validation branch runs. If the later concrete-path validation also accepts that location, Polaris persists the resulting metadata path into stored table state. Later table-load and credential APIs can then return temporary cloud-storage credentials for the same location without revalidating it. In plain terms, Polaris can later hand out temporary storage access for the same attacker-chosen area. That attacker-chosen area does not need to be limited to the poisoned table's own files. If it is a broader storage prefix, another table's prefix, or, depending on configuration or provider behavior, even a bucket/container root, the resulting disclosure or corruption scope can extend to any data and metadata Polaris can reach there. The practical consequences are therefore similar to the staged-create credential-vending issue already discussed: data and metadata reachable in that storage scope can be exposed and, if write-capable credentials are later issued, modified, corrupted, or removed. Even before that later credential step, Polaris itself performs the metadata write to the unchecked location. So the core issue is not only later credential vending. The primary defect is that Polaris skips its intended location checks before performing a security- sensitive metadata write when only `write.metadata.path` changes. When `polaris.config.allow.unstructured.table.location=false`, current code review suggests the later `updateTableLike(...)` validation usually rejects out-of-tree metadata locations before the unsafe path is persisted. That may reduce the persisted / credential-vending variant, but it does not prevent the underlying defect: Polaris still skips the intended pre-write location check when only `write.metadata.path` changes.
In plain terms, Apache Polaris is supposed to issue short-lived GCS credentials that only work for one table's files, but a crafted namespace or table name can cause those credentials to work across the configured bucket instead. Apache Polaris builds Google Cloud Storage downscoped credentials by creating a Credential Access Boundary (CAB) with CEL conditions that are intended to restrict access to the requested table's storage path. The relevant CEL string is built from the bucket name and the table path. That table path is derived from namespace and table identifiers. In current code, that path appears to be inserted into the CEL expression without escaping. As a result, a namespace or table identifier containing a single quote and other URI-safe CEL fragments can break out of the intended quoted string and change the meaning of the CEL condition. In private testing against Polaris 1.4.0 on real Google Cloud Storage, it was confirmed that Polaris accepted a crafted identifier and returned delegated GCS credentials whose CEL path restriction had effectively collapsed. Those delegated credentials could then: - list another table's object prefix; - read another table's metadata control file (Iceberg metadata JSON); - create and delete an object under another table's object prefix; - and also list, read, create, and delete objects under an unrelated external prefix in the same bucket that was not part of any table path. That last point is important. The issue is not limited to "another table". In the confirmed setup, once Apache Polaris returned credentials for the crafted table, the path restriction inside the configured bucket was effectively gone. The practical effect is that temporary credentials for one crafted table can be broader than the table Polaris was asked to authorize, and can become effectively bucket-wide within the configured bucket. The current GCS testing used a Polaris principal with broad catalog privileges for setup. A separate least-privilege Polaris RBAC variant has not yet been tested on GCS. However, the storage-credential broadening behavior itself has been confirmed on GCS.
Apache Polaris accepts literal `*` characters in namespace and table names. When it later builds temporary S3 access policies for delegated table access, those same characters appear to be reused unescaped in S3 IAM resource patterns and `s3:prefix` conditions. In S3 IAM policy matching, `*` is treated as a wildcard rather than as ordinary text. That means temporary credentials issued for one crafted table can match the storage path of a different table. In private testing against Polaris 1.4.0 using Polaris' AWS S3 temporary- credential path on both MinIO and real AWS S3, credentials returned for crafted tables such as `f*.t1`, `f*.*`, `*.*`, and `foo.*` could reach other tables' S3 locations. The confirmed behavior includes: - reading another table's metadata control file ([Iceberg metadata JSON]); - listing another table's exact S3 table prefix ([table prefix]); - and, when write delegation was returned for the crafted table, creating and deleting an object under another table's exact S3 table prefix. A control case using ordinary different names did not allow the same cross-table access. A least-privilege AWS S3 variant was also confirmed in which the attacker principal had no Polaris permissions on the victim table and only the minimal permissions required to create and use a crafted wildcard table (namespace-scoped `TABLE_CREATE` and `TABLE_WRITE_DATA` on `*`). In that setup, direct Polaris access to `foo.t1` remained forbidden, but the attacker could still create and load `*.*`, receive delegated S3 credentials, and use those credentials to list, read, create, and delete objects under `foo.t1`. In Iceberg, the metadata JSON file is a control file: it tells readers which data files belong to the table, which snapshots exist, and which table version to read. So unauthorized access to it is already a meaningful confidentiality problem. The confirmed write-capable variant means the issue is not limited to disclosure.