| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| The Apache Airflow FTP provider's `FTPSHook.get_conn()` created an `ftplib.FTP_TLS` connection but never called `prot_p()`, so although the control channel was TLS-protected the data channel was transmitted in cleartext. Any deployment using `FTPSHook` or `FTPSFileTransmitOperator` to move files over FTPS exposed file contents and credentials-in-transit to a network attacker able to observe the data connection. Upgrade apache-airflow-providers-ftp to `3.15.1` or later, which issues `PROT P` to encrypt the data channel. |
| OOM Denial of Service via Unbounded Array Allocation in Apache OpenNLP AbstractModelReader
Versions Affected:
before 1.9.5
before 2.5.9
before 3.0.0-M3
Description:
The AbstractModelReader methods getOutcomes(), getOutcomePatterns(), and getPredicates() each read a 32-bit signed integer count field from a binary model stream and pass that value directly to an array allocation (new String[numOutcomes], new int[numOCTypes][], new String[NUM_PREDS]) without validating that the value is non-negative or within a reasonable bound. The count is therefore fully attacker-controlled when the model file originates from an untrusted source.
A crafted .bin model file in which any of these count fields is set to Integer.MAX_VALUE (or any value large enough to exhaust the available heap) triggers an OutOfMemoryError at the array allocation itself, before the corresponding label or pattern data is consumed from the stream. The error occurs very early in deserialization: for a GIS model, getOutcomes() is reached after only the model-type string, the correction constant, and the correction parameter have been read; so the attacker pays no meaningful size cost to weaponize a payload, and a single small file can crash a JVM that loads it. Any code path that deserializes a .bin model is affected, including direct use of GenericModelReader and any higher-level component that delegates to it during model load.
The practical impact is denial of service against processes that load model files from untrusted or semi-trusted origins.
Mitigation:
* 2.x users should upgrade to 2.5.9.
* 3.x users should upgrade to 3.0.0-M3.
Note: The fix introduces an upper bound on each of the three count fields, checked before array allocation; counts that are negative or exceed the bound cause an IllegalArgumentException to be thrown and the read to fail fast with no large allocation. The default bound is 10,000,000, which is well above the entry counts of legitimate OpenNLP models but far below any value that would threaten heap exhaustion. Deployments that legitimately need to load models with more entries than the default can raise the limit at JVM startup by setting the OPENNLP_MAX_ENTRIES system property to the desired positive integer (e.g. -DOPENNLP_MAX_ENTRIES=50000000); invalid or non-positive values fall back to the default.
Users who cannot upgrade immediately should treat all .bin model files as untrusted input unless their provenance is verified, and should avoid loading models supplied by end users or fetched from third-party repositories without integrity checks. |
| Arbitrary Class Instantiation via Model Manifest in Apache OpenNLP ExtensionLoader
Versions Affected: before 1.9.5, before 2.5.9, before 3.0.0-M3
Description:
The ExtensionLoader.instantiateExtension(Class, String) method loads a class by its fully-qualified name via Class.forName() and invokes its no-arg constructor, with the class name sourced from the manifest.properties entry of a model archive. The existing isAssignableFrom check correctly rejects classes that are not subtypes of the expected extension interface (BaseToolFactory for factory=, ArtifactSerializer for serializer-class-*), but the check runs after Class.forName() has already loaded and initialized the named class.
Class.forName() with default initialization semantics executes the target class's static initializer before returning, so an attacker who can supply a crafted model archive can cause the static initializer of any class on the classpath to run during model loading, regardless of whether that class passes the subsequent type check.
Exploitation requires a class with attacker-useful side effects in its static initializer (for example, JNDI lookup, outbound network I/O, or filesystem access) to be present on the classpath, so this is not a drop-in remote code execution; however, the attack surface grows as third-party model distribution becomes more common (community model repositories, Hugging Face-style sharing), where users routinely load model files from origins they do not control. A secondary, narrower vector affects deployments that ship legitimate BaseToolFactory or ArtifactSerializer subclasses with side-effecting no-arg constructors: a malicious manifest can name such a class and force its constructor to run during model load.
Mitigation:
* 2.x users should upgrade to 2.5.9.
* 3.x users should upgrade to 3.0.0-M3.
Note: The fix introduces a package-prefix allowlist that is consulted before Class.forName() is invoked, so the static initializer of a disallowed class is never executed. Classes under the opennlp. prefix remain permitted by default. Deployments that load models referencing factories or serializers outside opennlp.* must opt those packages in, either programmatically via ExtensionLoader.registerAllowedPackage(String) before the first model load, or by setting the OPENNLP_EXT_ALLOWED_PACKAGES system property to a comma-separated list of allowed package prefixes.
Users who cannot upgrade immediately should ensure that all model files are sourced from trusted origins and should audit their classpath for classes with side-effecting static initializers or constructors, particularly any that perform JNDI lookups, network requests, or filesystem operations during class initialization. |
| It is possible to bypass the Kerberos pre-authentication check in Apache Kerby by sending a PA-DATA with an unrecognized or unsupported type. Users are recommended to upgrade to version 2.1.2, which fixes this issue. |
| Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal') vulnerability in Apache IoTDB.
This issue affects Apache IoTDB: from 1.0.0 before 1.3.6, from 2.0.0 before 2.0.7.
Users are recommended to upgrade to version 1.3.6 and 2.0.7, which fixes the issue. |
| Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal') vulnerability in Apache IoTDB.
This issue affects Apache IoTDB: from 2.0.0 before 2.0.6, from 1.0.0 before 1.3.6.
Users are recommended to upgrade to version 1.3.6 and 2.0.6, which fixes the issue. |
| A path traversal in the SFTP provider (`SFTPHook.retrieve_directory` / `SFTPOperator(operation=get)`) let a malicious or compromised remote SFTP server write files outside the configured local destination directory via crafted directory-entry names. No Airflow account is required — the attack surface is any deployment downloading directories from an untrusted SFTP server. Upgrade `apache-airflow-providers-sftp` to 5.8.1 or later. |
| A flaw was found in the mod_auth_openidc module for Apache httpd. This flaw allows a remote, unauthenticated attacker to trigger a denial of service by sending an empty POST request when the OIDCPreservePost directive is enabled. The server crashes consistently, affecting availability. |
| It is possible for a Reader to consume memory beyond the allowed constraints and thus lead to out of memory on the system. This issue affects Rust applications using Apache Avro Rust SDK prior to 0.14.0 (previously known as avro-rs). Users should update to apache-avro version 0.14.0 which addresses this issue. |
| Apache Doris MCP Server contains a SQL injection vulnerability in a metadata query path. A user-controlled database name is directly interpolated into a SQL query, and the query is executed without passing the caller's authorization context. This may allow an authenticated attacker, or an anonymous attacker if authentication is disabled, to bypass SQL security validation and access metadata outside the intended database scope.
Affected users are recommended to upgrade to Doris version 0.6.1 or later, which fixes the issue. |
| DataSource API Missing Authorization Check Leads to Arbitrary Data Source Metadata Disclosure in Apache DolphinScheduler.
This issue affects Apache DolphinScheduler: before 3.4.2.
Users are recommended to upgrade to version 3.4.2, which fixes the issue. |
| Memory Allocation with Excessive Size Value vulnerability in Apache HTTP Server's mod_http leads to denial of service via malicious HTTP requests.
This issue affects Apache HTTP Server: from 2.4.17 through 2.4.67. |
| A logic error in OAuthRequestFilter rejects legitimate requests originating from the bound IP address, while blindly allowing requests from any other IP address. Enabling this
security feature inadvertently creates an inverse security check. Users are recommended to upgrade to versions 4.2.2 or 4.1.7, which fixes this issue. |
| The JwtAccessTokenValidator class in Apache CXF fails to validate the 'aud' (Audience) claims of incoming JWT access tokens. This allows a JWT issued for one Resource Server to be successfully replayed against a completely different Resource Server, leading to Token Confusion/Routing attacks. Users are recommended to upgrade to versions 4.2.2 or 4.1.7, which fixes this issue. |
| Spring Data Commons, versions prior to 1.13 to 1.13.10, 2.0 to 2.0.5, and older unsupported versions, contain a property binder vulnerability caused by improper neutralization of special elements. An unauthenticated remote malicious user (or attacker) can supply specially crafted request parameters against Spring Data REST backed HTTP resources or using Spring Data's projection-based request payload binding hat can lead to a remote code execution attack. |
| The getObject method of the javax.jms.ObjectMessage class in the (1) JMS Core client, (2) Artemis broker, and (3) Artemis REST component in Apache ActiveMQ Artemis before 1.4.0 might allow remote authenticated users with permission to send messages to the Artemis broker to deserialize arbitrary objects and execute arbitrary code by leveraging gadget classes being present on the Artemis classpath. |
| It was found that when Artemis and HornetQ before 2.4.0 are configured with UDP discovery and JGroups discovery a huge byte array is created when receiving an unexpected multicast message. This may result in a heap memory exhaustion, full GC, or OutOfMemoryError. |
| The optional ActiveMQ LDAP login module can be configured to use anonymous access to the LDAP server. In this case, for Apache ActiveMQ Artemis prior to version 2.16.0 and Apache ActiveMQ prior to versions 5.16.1 and 5.15.14, the anonymous context is used to verify a valid users password in error, resulting in no check on the password. |
| While investigating ARTEMIS-2964 it was found that the creation of advisory messages in the OpenWire protocol head of Apache ActiveMQ Artemis 2.15.0 bypassed policy based access control for the entire session. Production of advisory messages was not subject to access control in error. |
| In Apache ActiveMQ Artemis prior to 2.20.0 or 2.19.1, an attacker could partially disrupt availability (DoS) through uncontrolled resource consumption of memory. |
