Summary
Ein lokaler Angreifer kann mehrere Schwachstellen in PyTorch ausnutzen, um beliebigen Programmcode auszuführen.
Product
PyTorch ist eine Tensor-Bibliothek für Deep Learning mit GPUs und CPUs.
Vulnerabilities 4
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Medium 5.3
PyTorch torch.nn.utils.rnn.pad_packed_sequence memory corruption
A vulnerability was found in PyTorch 2.6.0. It has been declared as critical. Affected by this vulnerability is the function torch.nn.utils.rnn.pad_packed_sequence. The manipulation leads to memory corruption. Local access is required to approach this attack.…
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Medium 5.3
PyTorch torch.nn.utils.rnn.unpack_sequence memory corruption
A vulnerability was found in PyTorch 2.6.0. It has been rated as critical. Affected by this issue is the function torch.nn.utils.rnn.unpack_sequence. The manipulation leads to memory corruption. Attacking locally is a requirement. The exploit has been disclos…
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Medium 5.3
PyTorch torch.jit.script memory corruption
A vulnerability classified as critical has been found in PyTorch 2.6.0. This affects the function torch.jit.script. The manipulation leads to memory corruption. It is possible to launch the attack on the local host. The exploit has been disclosed to the publi…
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Medium 5.3
PyTorch torch.lstm_cell memory corruption
A vulnerability classified as critical was found in PyTorch 2.6.0. This vulnerability affects the function torch.lstm_cell. The manipulation leads to memory corruption. The attack needs to be approached locally. The exploit has been disclosed to the public an…
Revision history
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#1
Initiale Fassung
References
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CVE Record Information vom 2025-03-31
https://www.cve.org/CVERecord?id=CVE-2025-2998
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CVE Record Information vom 2025-03-31
https://www.cve.org/CVERecord?id=CVE-2025-2999
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CVE Record Information vom 2025-03-31
https://www.cve.org/CVERecord?id=CVE-2025-3000
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CVE Record Information vom 2025-03-31
https://www.cve.org/CVERecord?id=CVE-2025-3001