| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| NVIDIA Megatron Bridge for Linux contains a vulnerability where an attacker could cause deserialization of untrusted data. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, data tampering, and information disclosure. |
| In the Linux kernel, the following vulnerability has been resolved:
usbip: vudc: Fix use after free bug in vudc_remove due to race condition
This patch follows up Zheng Wang's 2023 report of a use-after-free in
vudc_remove(). The original thread stalled on Shuah Khan's request for
runtime testing of the unplug/unbind path. This patch supplies that
testing and keeps Zheng's original fix shape.
In vudc_probe(), v_init_timer() binds udc->tr_timer.timer to v_timer().
usbip_sockfd_store() starts the timer via v_start_timer()/v_kick_timer().
vudc_remove() can then free the containing struct vudc while the timer is
still pending or executing.
KASAN confirms the race on an unpatched x86_64 QEMU guest with
CONFIG_KASAN=y, CONFIG_USBIP_VUDC=y, CONFIG_USB_ZERO=y, and a tight loop
that repeatedly writes a socket fd to usbip_sockfd, closes the socket
pair, and unbinds/rebinds usbip-vudc.0:
BUG: KASAN: slab-use-after-free in __run_timer_base.part.0+0x8ba/0x8e0
Write of size 8 at addr ffff888001b80740 by task trigger_and_unb/239
Allocated by task 239:
vudc_probe+0x4d/0xaa0
Freed by task 239:
kfree+0x18f/0x520
device_release_driver_internal+0x388/0x540
unbind_store+0xd9/0x100
This lands in the timer core rather than v_timer() itself because the
embedded timer_list is being walked after its containing struct vudc has
already been freed. The underlying lifetime bug is the same one Zheng
reported.
With v_stop_timer() called from vudc_remove() and the timer deleted
synchronously, the same harness completed 5000 bind/unbind iterations
with no KASAN report. |
| QueryWeaver contains an authentication bypass vulnerability that allows unauthenticated attackers to obtain valid session tokens for existing accounts by submitting a signup request with a known victim email address. The signup route unconditionally creates and links a new token to the matching Identity via a Cypher MERGE operation before checking whether the email belongs to an existing account, causing the server to return a valid authenticated session token for the victim's identity without requiring any prior credentials or user interaction. |
| A flaw was found in the keycloak-services component of Keycloak. This issue is an incomplete fix for CVE-2026-9798, where brute-force protection checks were added to the Client-Initiated Backchannel Authentication (CIBA) initiation handler but were omitted from the token redemption handler. This allows an attacker with valid client credentials to obtain access and refresh tokens for a user account that has been locked due to brute-force protection, provided the authentication request was started before the lockout occurred and was approved by the user. |
| HTTP::Date versions before 6.08 for Perl allow CPU exhaustion via polynomial regex backtracking in parse_date.
parse_date() matches the date string against a chain of alternative regexes, and str2time() delegates to it. Several of these patterns place unbounded quantifiers next to each other before a trailing `\s*$` anchor. A valid date prefix followed by a long interior run of digits, letters, or whitespace and a single trailing byte that defeats the final match forces the engine to repartition the run, giving polynomial (about quadratic) backtracking. A header value of a few tens of kilobytes runs for tens of seconds of CPU.
HTTP::Date parses timestamps such as HTTP `Date`, `Expires`, and `Last-Modified` headers, which commonly originate from untrusted sources. Any caller that passes an untrusted date header to str2time() or parse_date() can be driven to consume unbounded CPU, a denial of service. |
| NVIDIA Megatron Bridge for Linux contains a vulnerability where an attacker could cause deserialization of untrusted data. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, data tampering, and information disclosure. |
| NVIDIA Megatron Bridge for Linux contains a vulnerability where an attacker could cause improper control of dynamically managed code resources. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, data tampering, and information disclosure. |
| NVIDIA Megatron Bridge for Linux contains a vulnerability where an attacker could cause improper control of code generation. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, data tampering, and information disclosure. |
| NVIDIA Megatron Bridge for Linux contains a vulnerability where an attacker could cause deserialization of untrusted data. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, data tampering, and information disclosure. |
| NVIDIA Megatron Bridge for Linux contains a vulnerability where an attacker could cause improper validation of allowed inputs. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, data tampering, and information disclosure. |
| NVIDIA Megatron Bridge for Linux contains a vulnerability where an attacker could cause improper control of dynamically managed code resources. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, data tampering, and information disclosure. |
| NVIDIA Triton Inference Server for Linux contains a vulnerability where an attacker can cause a use-after-free issue. A successful exploit of this vulnerability might lead to denial of service. |
| NVIDIA AIStore framework contains a vulnerability where an attacker could bypass authentication. A successful exploit of this vulnerability might lead to denial of service, escalation of privileges, information disclosure, and data tampering. |
| In the Linux kernel, the following vulnerability has been resolved:
accel/amdxdna: Fix mm_struct reference leak in aie2_populate_range()
aie2_populate_range() jumps back to the again label without calling
mmput(mm), leaking a reference to the mm_struct.
Add the missing mmput() before jumping to again. |
| In the Linux kernel, the following vulnerability has been resolved:
drm/amdgpu: fix lock leak on ENOMEM in AMDGPU_GEM_OP_GET_MAPPING_INFO
The AMDGPU_GEM_OP_GET_MAPPING_INFO branch of amdgpu_gem_op_ioctl()
holds three cleanup-tracked resources before calling kvcalloc():
the drm_gem_object reference from drm_gem_object_lookup(), the
drm_exec lock on the looked-up GEM via drm_exec_lock_obj(), and
the drm_exec lock on the per-process VM root page directory via
amdgpu_vm_lock_pd(). All three are released by the out_exec
label that every other error path in this function jumps to.
The kvcalloc() failure path returns -ENOMEM directly, skipping
out_exec and leaking all three.
The leaked per-process VM root PD dma_resv lock is the
load-bearing leak: any subsequent operation on the same VM
(further GEM ops, command-submission, eviction, TTM shrinker
callbacks) blocks on the held lock. DRM_IOCTL_AMDGPU_GEM_OP is
DRM_AUTH | DRM_RENDER_ALLOW, so this is an unprivileged-local
denial of service against the caller's GPU context, reachable
by any process with /dev/dri/renderD* access.
Route the failure through out_exec so drm_exec_fini() and
drm_gem_object_put() run.
Reproduced on stock 7.0.0-10, Ryzen 7 5700U / Radeon Vega
(Lucienne): the failing ioctl returns -ENOMEM and a second
GET_MAPPING_INFO on the same fd then blocks in
drm_exec_lock_obj() on the leaked dma_resv. SIGKILL on the
caller does not reap the task; the fd-release path during
process exit goes through amdgpu_gem_object_close() ->
drm_exec_prepare_obj() on the same lock, leaving the task in D
state until the box is rebooted. The patched kernel was not
rebuilt and re-tested on this hardware; the fix is mechanical.
Tested on a single Lucienne / Vega box only.
Ziyi Guo posted an independent INT_MAX-bound check for
args->num_entries in the same branch [1]; the two patches are
complementary and can land in either order.
(cherry picked from commit b69d3256d79de15f54c322986ff4da68f1d65b0a) |
| In the Linux kernel, the following vulnerability has been resolved:
USB: serial: mct_u232: fix memory corruption with small endpoint
The driver overrides the maximum transfer size for a specific device
which only accepts 16 byte packets for its 32 byte bulk-out endpoint.
Make sure to never increase the maximum transfer size to prevent slab
corruption should a malicious device report a smaller endpoint max
packet size than expected. |
| In the Linux kernel, the following vulnerability has been resolved:
USB: serial: mxuport: fix memory corruption with small endpoint
Make sure that the bulk-out endpoint max packet size is at least eight
bytes to avoid user-controlled slab corruption should a malicious device
report a smaller size. |
| In the Linux kernel, the following vulnerability has been resolved:
USB: serial: keyspan: fix missing indat transfer sanity check
Add the missing sanity check on the size of usa49wg indat transfers to
avoid parsing stale or uninitialised slab data. |
| In the Linux kernel, the following vulnerability has been resolved:
USB: serial: digi_acceleport: fix memory corruption with small endpoints
Add the missing bulk-out buffer size sanity checks to avoid
out-of-bounds memory accesses or slab corruption should a malicious
device report smaller buffers than expected. |
| In zenml-io/zenml version 0.94.2, the `GET /api/v1/stack-deployment/stack` endpoint (`get_deployed_stack`) lacks proper RBAC authorization checks, allowing any authenticated user to enumerate all deployed stacks across all users and tenants. This includes stack component details, service connector information, and user IDs of stack owners. The vulnerability arises from two issues: missing endpoint-level RBAC checks and the use of a server-side `Client()` that bypasses the RBAC enforcement layer by directly accessing the database through `SqlZenStore`. This exposes sensitive information such as infrastructure topology, service connector details, stack ownership, and deployment metadata, potentially enabling cross-tenant reconnaissance and further attacks in multi-tenant ZenML Pro/Cloud deployments. |
