| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| In the Linux kernel, the following vulnerability has been resolved:
xen/privcmd: fix double free via VMA splitting
privcmd_vm_ops defines .close (privcmd_close), but neither .may_split
nor .open. When userspace does a partial munmap() on a privcmd mapping,
the kernel splits the VMA via __split_vma(). Since may_split is NULL,
the split is allowed. vm_area_dup() copies vm_private_data (a pages
array allocated in alloc_empty_pages()) into the new VMA without any
fixup, because there is no .open callback.
Both VMAs now point to the same pages array. When the unmapped portion
is closed, privcmd_close() calls:
- xen_unmap_domain_gfn_range()
- xen_free_unpopulated_pages()
- kvfree(pages)
The surviving VMA still holds the dangling pointer. When it is later
destroyed, the same sequence runs again, which leads to a double free.
Fix this issue by adding a .may_split callback denying the VMA split.
This is XSA-487 / CVE-2026-31787 |
| In the Linux kernel, the following vulnerability has been resolved:
media: cx88: Add missing unmap in snd_cx88_hw_params()
In error path, add cx88_alsa_dma_unmap() to release
resource acquired by cx88_alsa_dma_map(). |
| The LatePoint – Calendar Booking Plugin for Appointments and Events plugin for WordPress is vulnerable to Stored Cross-Site Scripting via the 'booking_form_page_url' parameter in all versions up to, and including, 5.5.0 due to insufficient input sanitization and output escaping. This makes it possible for unauthenticated attackers to inject arbitrary web scripts in pages that will execute whenever a user accesses an injected page. The malicious activity log entry is written to the database even when Stripe is not configured, because the latepoint_order_intent_created action hook fires before the Stripe Connect account ID is validated, meaning a fully functional Stripe integration is not required for exploitation. |
| Allocation of Resources Without Limits or Throttling vulnerability in Apache HTTP Server's mod_md via OCSP response data.
This issue affects Apache HTTP Server: from 2.4.30 through 2.4.66.
Users are recommended to upgrade to version 2.4.67, which fixes the issue. |
| In the Linux kernel, the following vulnerability has been resolved:
firmware: thead: Fix buffer overflow and use standard endian macros
Addresses two issues in the TH1520 AON firmware protocol driver:
1. Fix a potential buffer overflow where the code used unsafe pointer
arithmetic to access the 'mode' field through the 'resource' pointer
with an offset. This was flagged by Smatch static checker as:
"buffer overflow 'data' 2 <= 3"
2. Replace custom RPC_SET_BE* and RPC_GET_BE* macros with standard
kernel endianness conversion macros (cpu_to_be16, etc.) for better
portability and maintainability.
The functionality was re-tested with the GPU power-up sequence,
confirming the GPU powers up correctly and the driver probes
successfully.
[ 12.702370] powervr ffef400000.gpu: [drm] loaded firmware
powervr/rogue_36.52.104.182_v1.fw
[ 12.711043] powervr ffef400000.gpu: [drm] FW version v1.0 (build
6645434 OS)
[ 12.719787] [drm] Initialized powervr 1.0.0 for ffef400000.gpu on
minor 0 |
| This vulnerability exists in Quantum Networks router due to inadequate sanitization of user-supplied input in the management CLI interface. An authenticated remote attacker could exploit this vulnerability by injecting arbitrary OS commands on the targeted device.
Successful exploitation of this vulnerability could allow the attacker to perform remote code execution with root privileges on the targeted device. |
| OOM Denial of Service via Unbounded Array Allocation in Apache OpenNLP AbstractModelReader
Versions Affected:
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. |
| Multiple vulnerabilities in the web-based management interface of Cisco Identity Services Engine (ISE) could allow an authenticated, remote attacker to conduct cross-site scripting (XSS) attacks against a user of the interface.
These vulnerabilities are due to insufficient validation of user-supplied input by the web-based management interface of an affected system. An attacker could exploit these vulnerabilities by injecting malicious code into specific pages of the interface. A successful exploit could allow the attacker to execute arbitrary script code in the context of the affected interface or access sensitive, browser-based information. To exploit these vulnerabilities, the attacker must have valid administrative credentials. |
| Multiple vulnerabilities in the web-based management interface of Cisco Identity Services Engine (ISE) could allow an authenticated, remote attacker to conduct cross-site scripting (XSS) attacks against a user of the interface.
These vulnerabilities are due to insufficient validation of user-supplied input by the web-based management interface of an affected system. An attacker could exploit these vulnerabilities by injecting malicious code into specific pages of the interface. A successful exploit could allow the attacker to execute arbitrary script code in the context of the affected interface or access sensitive, browser-based information. To exploit these vulnerabilities, the attacker must have valid administrative credentials. |
| n8n is an open source workflow automation platform. Prior to versions 1.123.32, 2.17.4, and 2.18.1, an unauthenticated attacker could register a malicious MCP OAuth client with a crafted client_name. If a victim user authorized the OAuth consent dialog and a second user subsequently revoked that access, a toast notification would render the injected script. Clicking the link would execute arbitrary JavaScript in the victim's authenticated n8n browser session, enabling credential and session token theft, workflow manipulation, or privilege escalation. This issue has been patched in versions 1.123.32, 2.17.4, and 2.18.1. |
| Memory Allocation with Excessive Size Value vulnerability in Apache Thrift.
This issue affects Apache Thrift: before 0.23.0.
Users are recommended to upgrade to version 0.23.0, which fixes the issue. |
| Improper neutralization of input during web page generation ('cross-site scripting') in Microsoft Office SharePoint allows an authorized attacker to perform spoofing over a network. |
| Memory corruption when dynamically changing the size of a previously allocated buffer while its contents are being modified. |
| Memory corruption while processing IOCTL command when device is in power-save state. |
| Improper neutralization of special elements used in a command ('command injection') in GitHub Copilot and Visual Studio Code allows an authorized attacker to disclose information over a network. |
| FluentCMS 1.2.3 is vulnerable to Cross Site Scripting (XSS) in TextHTML plugin. |
| A vulnerability was found in Keycloak. A user with high privileges could read sensitive information from a Vault file that is not within the expected context. This attacker must have previous high access to the Keycloak server in order to perform resource creation, for example, an LDAP provider configuration and set up a Vault read file, which will only inform whether that file exists or not. |
| n8n is an open source workflow automation platform. Prior to versions 1.123.32, 2.17.4, and 2.18.1, the MCP OAuth client registration endpoint accepted unauthenticated requests and stored client data without adequate resource controls. An unauthenticated remote attacker could exhaust server memory resources by sending large registration payloads, rendering the n8n instance unavailable. The MCP enable/disable toggle gates MCP access but did not restrict client registrations, meaning the endpoint is reachable regardless of whether MCP access is enabled on the instance. This issue has been patched in versions 1.123.32, 2.17.4, and 2.18.1. |
| A flaw was found in Keycloak. When the configuration uses JWT tokens for authentication, the tokens are cached until expiration. If a client uses JWT tokens with an excessively long expiration time, for example, 24 or 48 hours, the cache can grow indefinitely, leading to an OutOfMemoryError. This issue could result in a denial of service condition, preventing legitimate users from accessing the system. |
| An improper neutralization of input during web page generation ('cross-site scripting') vulnerability in Fortinet FortiSOAR PaaS 7.6.0 through 7.6.3, FortiSOAR PaaS 7.5.0 through 7.5.2, FortiSOAR PaaS 7.4 all versions, FortiSOAR PaaS 7.3 all versions, FortiSOAR on-premise 7.6.0 through 7.6.3, FortiSOAR on-premise 7.5.0 through 7.5.2, FortiSOAR on-premise 7.4 all versions, FortiSOAR on-premise 7.3 all versions may allow an authenticated remote attacker to perform a stored cross site scripting (XSS) attack via crafted HTTP Requests. |
