Alertas de Seguridad de la Información

NVIDIA GPU Display Driver for Windows and Linux contains a vulnerability in the kernel mode layer, where a user could cause an incorrect conversion between numeric types. A successful exploit of this vulnerability might lead to code execution, denial of service, escalation of privileges, information disclosure, and data tampering.

NanoSVG commit 239e102ec contains an incorrect numeric conversion vulnerability in the rasterizer's nsvg__addActive() function. A specially crafted SVG document containing sufficiently large geometry coordinates can cause fixed-point-scaled edge coordinates to exceed the range representable by int. The rasterizer subsequently converts these values to int without range validation, resulting in unde…

Incorrect conversion between numeric types in Microsoft JScript allows an unauthorized attacker to execute code over a network.

su-exec through 0.3 fails to validate numeric user and group identifiers parsed with strtol before assigning to uid_t and gid_t, allowing truncation of out-of-range values to zero. Attackers can supply large numeric identifiers that truncate to root's identifier, causing su-exec to execute target programs with root privileges instead of intended unprivileged accounts.

Heap-based buffer overflow in Microsoft Office PowerPoint allows an unauthorized attacker to execute code locally.

Incorrect conversion between numeric types in Windows NTFS allows an authorized attacker to elevate privileges locally.

dsp_mmap_single() validated the requested mapping by checking the sum of the user-supplied offset and length against the buffer size. This addition could overflow, so that a large offset and length wrapped around and passed the check. The offset was then narrowed from 64 to 32 bits when converted to a buffer address, yielding a mapping that extended past the audio buffer into unrelated kernel me…

In the Linux kernel, the following vulnerability has been resolved: RDMA/umem: Fix truncation for block sizes >= 4G When the iommu is used the linearization of the mapping can give a single block that is very large split across multiple SG entries. When __rdma_block_iter_next() reassembles the split SG entries it is overflowing the 32 bit stack values and computed the wrong DMA addresses for bl…

vLLM is an inference and serving engine for large language models (LLMs). From 0.5.5 until 0.23.1rc0, integer truncation of tensor dimensions in vLLM's GGUF dequantize kernels (csrc/quantization/gguf/gguf_kernel.cu) causes partial tensor processing. The output tensor is allocated at full size via torch::empty (uninitialized memory), but the dequantize CUDA kernel processes only a truncated number …