CVE alerts for
Apache HTTPD

Missing Authorization vulnerability in Apache HBase thrift and rest delegation service. A scan operation in thrift/rest service has 3 steps, open, fetch(possible multiple times), close. The open step will return an id which will be passed back to server for identifying the scanner instances stored at server side. We missed the owner check in fetch and close steps which means a user can fetch rows from the scanner which is opened by other users, and close scanners which belongs to other users. This issue affects Apache HBase:from 3.0.0-alpha-1 through 3.0.0-beta-1, from 2.6.0 through 2.6.5, from 2.5.0 through 2.5.14, through 2.4.*. Users are recommended to upgrade to version 3.0.0-beta-2, 2.6.6 and 2.5.15, which fixes the issue.

It is possible to bypass the maximum number of normalized policy alternatives that was introduced in Apache Neethi 3.2.2 via certain crafted policies, which may lead to a denial of service attack via resource consumption. Users are recommended to upgrade to version 3.2.3, which fixes this issue.

Apache Neethi is vulnerable to uncontrolled recursion when parsing policies that lack policy Ids or with deeply nested structures, which may lead to a denial of service attack when parsing policies due to runtime memory exhaustion. Users are recommended to upgrade to version 3.2.3, which fixes this issue.

Improper Input Validation vulnerability in Apache NimBLE in Mesh Proxy SAR reassembly could result in passing broken data toward application resulting in memory pressure and unstable parsing behavior. This issue affects Apache NimBLE: through 1.9.0. Users are recommended to upgrade to version 1.10.0, which fixes the issue.

NULL Pointer Dereference vulnerability in Apache NimBLE in LE Long Term Key Request event. This requires disabled asserts (otherwise assert would trigger before NULL dereference) and bogus (or misbehaving) controller, thus severity is low. This issue affects Apache NimBLE: through 1.9.0. Users are recommended to upgrade to version 1.10.0, which fixes the issue.

Reachable Assertion vulnerability in Apache NimBLE. A specially crafted ATT Read Multiple Variable Response (BLE_ATT_OP_READ_MULT_VAR_RSP) may trigger assert in ATT parser. Severity is medium as this requires DUT to first send ATT Read Multiple Variable Request. This issue affects Apache NimBLE: through 1.9.0. Users are recommended to upgrade to version 1.10.0, which fixes the issue.

Out-of-bounds Write, Integer Underflow (Wrap or Wraparound) vulnerability in Apache NimBLE BASS service. Improper validation when parsing BASS service  "Add Source" and "Modify Source" operation PDU could results in stack buffer overflow or arbitrary out-of-bound read. This can be triggered by nearby devices over Bluetooth connection, however pairing is required prior to accessing BASS service, which depending on device configuration may or may not require user action. This issue affects Apache NimBLE: through 1.9.0. Users are recommended to upgrade to version 1.10.0, which fixes the issue.

Incorrect Calculation of Buffer Size vulnerability in Apache NimBLE when processing Legacy Advertising Report HCI event. When a single HCI advertising report event bundles multiple reports, NimBLE miscalculated the offset to the next report. This can cause the host to read past the end of the buffer and deliver a GAP event with bogus data to the application. Severity is low: NimBLE's own controller never batches multiple reports into one event, so this only matters when NimBLE's host is paired with a third-party controller that does. This issue affects Apache NimBLE: through 1.9.0. Users are recommended to upgrade to version 1.10.0, which fixes the issue.

Buffer Copy without Checking Size of Input ('Classic Buffer Overflow') vulnerability in Apache NimBLE. The HCI socket transport did not check whether a received HCI event would fit the configured event pool before copying it, allowing a buffer overflow. Severity is low: exploitation requires either a misconfigured pool size or a malicious/compromised controller on the other end of the HCI socket link, not over-the-air Bluetooth access. This issue affects Apache NimBLE: through 1.9.0. Users are recommended to upgrade to version 1.10.0, which fixes the issue.

Arbitrary Class Instantiation via XML Feature Generator Descriptor and Format Name in Apache OpenNLP Versions Affected: - before 2.5.10 - before 3.0.0-M5 Description: Three code paths in Apache OpenNLP load a class by its fully-qualified name via Class.forName() and invoke its no-arg constructor without any prior validation of the class name or its type.  The affected paths are: (1) GeneratorFactory, which reads the class attribute of generator elements in an XML feature generator descriptor; such descriptors are embedded as artifacts in model archives (e.g. TokenNameFinder and POSTagger models) and are parsed during model loading, so an attacker who can supply a crafted model archive controls the class name directly. (2) StreamFactoryRegistry.getFactory(Class, String), which falls back to interpreting an unregistered format name as the fully-qualified class name of an ObjectStreamFactory; this is exploitable in applications that pass untrusted format names (e.g. exposing the -format parameter of the command-line tooling to external input). (3) StringInterners, which instantiates the interner implementation named by the opennlp.interner.class system property; this value is normally deployer-controlled, so it is hardened as defense in depth rather than being independently attacker-reachable. Exploitation requires a class with attacker-useful side effects in its static initializer or no-arg constructor (JNDI lookup, outbound network I/O, filesystem access) to be present on the classpath, so this is not drop-in remote code execution. T Mitigation: Upgrade to a fixed release. The fix routes all three paths through ExtensionLoader.instantiateExtension(...), which consults a package-prefix allowlist before Class.forName() is invoked, so a disallowed class is never loaded, initialized, or constructed. Classes under the opennlp. prefix remain permitted by default. Deployments that load models referencing feature generator factories, object stream factories, or string interners 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 all model files and format names are sourced from trusted origins and should audit their classpath for classes with side-effecting static initializers or constructors.