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CVE-2026-18503

Super-linear CPU usage for unbounded input to csv.Sniffer.sniff()

Attacker-controlled CSV samples can trigger super-linear regular-expression work during dialect sniffing and consume significant CPU when applications pass unbounded input to csv.Sniffer.sniff().

CVSS 4.0 · 2.4 Low EPSS < 1% KEV · Not listed
Vendors
Python
Products
Cpython
CVE-2025-46153

torch: PyTorch inconsistent results

PyTorch before 3.7.0 has a bernoulli_p decompose function in decompositions.py even though it lacks full consistency with the eager CPU implementation, negatively affecting nn.Dropout1d, nn.Dropout2d, and nn.Dropout3d for fallback_random=True.

CVSS 3.1 · 5.3 Medium EPSS < 1% KEV · Not listed
Vendors
Linuxfoundation Pytorch
Products
Pytorch Pytorch
CVE-2021-47187

arm64: dts: qcom: msm8998: Fix CPU/L2 idle state latency and residency

In the Linux kernel, the following vulnerability has been resolved: arm64: dts: qcom: msm8998: Fix CPU/L2 idle state latency and residency The entry/exit latency and minimum residency in state for the idle states of MSM8998 were ..bad: first of all, for all of them the timings were written for CPU sleep but the min-residency-us param was miscalculated (supposedly, while porting this from downstream); Then, the power collapse states are setting PC on both the CPU cluster *and* the L2 cache, which have different timings: in the specific case of L2 the times are higher so these ones should be taken into account instead of the CPU ones. This parameter misconfiguration was not giving particular issues because on MSM8998 there was no CPU scaling at all, so cluster/L2 power collapse was rarely (if ever) hit. When CPU scaling is enabled, though, the wrong timings will produce SoC unstability shown to the user as random, apparently error-less, sudden reboots and/or lockups. This set of parameters are stabilizing the SoC when CPU scaling is ON and when power collapse is frequently hit.

CVSS 3.1 · 5.5 Medium EPSS < 1% KEV · Not listed
Vendors
Linux
Products
Linux Kernel
CVE-2024-23323

Excessive CPU usage when URI template matcher is configured using regex in Envoy

Envoy is a high-performance edge/middle/service proxy. The regex expression is compiled for every request and can result in high CPU usage and increased request latency when multiple routes are configured with such matchers. This issue has been addressed in released 1.29.1, 1.28.1, 1.27.3, and 1.26.7. Users are advised to upgrade. There are no known workarounds for this vulnerability.

CVSS 3.1 · 4.3 Medium EPSS < 1% KEV · Not listed
Vendors
Envoyproxy
Products
Envoy