Inefficient CPU Computation

The product performs CPU computations using algorithms that are not as efficient as they could be for the needs of the developer, i.e., the computations can be optimized further.

CVEs (3)

CVE VENDORS PRODUCTS UPDATED PUBLISHED CVSS
CVE-2026-18503 - - Aug 18, 2026 Aug 10, 2026 2.4 LOW· v4 N/A· v3 N/A· v2 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().
CVE-2025-46153 1Linuxfoundation 1Pytorch Jun 17, 2026 Sep 25, 2025 N/A· v4 5.3 MEDIUM· v3 N/A· v2 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 fo...Show more 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.Show less
CVE-2024-23323 1Envoyproxy 1Envoy Jun 17, 2026 Feb 9, 2024 N/A· v4 5.3 MEDIUM· v3 N/A· v2 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 match...Show more 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.Show less