Security Vulnerabilities
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.
CVSS Score
7.5
EPSS Score
0.006
Published
2026-07-24
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.
CVSS Score
7.5
EPSS Score
0.003
Published
2026-07-24
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.
CVSS Score
6.5
EPSS Score
0.004
Published
2026-07-24
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.
CVSS Score
5.6
EPSS Score
0.005
Published
2026-07-24
Software installed and run as a non-privileged user may conduct improper GPU system calls to manipulate the lifetimes of synchronisation objects in the kernel, leading to read/write UAFs.
During workload submission involving a fence exported by the GPU driver, the reference count of the underlying synchronisation primitive is not properly incremented. This can be exploited, by destroying the exported fence and prematurely release the underlying primitive, resulting in a potential use-after-free condition.
CVSS Score
7.8
EPSS Score
0.001
Published
2026-07-24
Kernel software installed and running inside a Guest VM may post improper commands to the GPU Firmware to trigger a write of data outside the Guest's virtualised GPU memory.
Out of bounds accesses triggered by malware introduced to a Guest KMD could allow privilege escalation which escapes virtualization boundaries.
CVSS Score
7.8
EPSS Score
0.001
Published
2026-07-24
Kernel software installed and running inside a Guest VM may post improper commands to the GPU Firmware to trigger a write of data outside the Guest's virtualised GPU memory.
Software installed and run under a Guest VM can send commands to the GPU which result in out of bounds memory accesses. These can be used to escalate privileges.
CVSS Score
7.8
EPSS Score
0.001
Published
2026-07-24
Improper authentication in Azure Key Vault allows an unauthorized attacker to elevate privileges over a network.
CVSS Score
10.0
EPSS Score
0.007
Published
2026-07-24
Missing authorization in Azure DNS allows an unauthorized attacker to elevate privileges over a network.
CVSS Score
10.0
EPSS Score
0.007
Published
2026-07-24
Improper authentication in Microsoft Exchange Online allows an unauthorized attacker to perform tampering over a network.
CVSS Score
10.0
EPSS Score
0.007
Published
2026-07-24