torch has 7 CVEs on record between 2024 and 2025. The median CVSS is 4.3 (medium), with 1 rated critical. None have a confirmed exploitation report.
CVEs per month
Last 12 months, by publish date
- Exploited share
- 0% vs 1% corpus
- Median CVSS
- 4.3
- Publish → KEV
- —
- Last 90 days
- 0 prev 0
Products
- torch 7
Worst active — by depth score
CVE-2025-32434CriticalPyTorch: `torch.load` with `weights_only=True` leads to remote code execution65CVE-2024-31580High· 7.5PyTorch heap buffer overflow vulnerability41CVE-2025-3000Medium· 5.3PyTorch is vulnerable to memory corruption through its torch.jit.script function29CVE-2025-3730Low· 3.3PyTorch Improper Resource Shutdown or Release vulnerability18CVE-2025-2953Low· 3.3PyTorch susceptible to local Denial of Service18
torch vulnerabilities
CVEs affecting torch, newest first. Open any entry for full detail, references, and exploit status.
7 CVEsRSS
CVE-2025-32434CriticalPoCPyTorch: `torch.load` with `weights_only=True` leads to remote code execution
PyTorch: `torch.load` with `weights_only=True` leads to remote code execution
CVE-2025-3730Low· 3.3PyTorch Improper Resource Shutdown or Release vulnerability
PyTorch Improper Resource Shutdown or Release vulnerability
CVE-2025-3001NoneA vulnerability classified as critical was found in PyTorch 2.6.0. This vulnerability affects the function torch.lstm_cell. The manipulat…
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 disc…
CVE-2025-3000Medium· 5.3PyTorch is vulnerable to memory corruption through its torch.jit.script function
PyTorch is vulnerable to memory corruption through its torch.jit.script function
CVE-2025-2999NoneA 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.unpa…
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 ex…
CVE-2025-2953Low· 3.3PyTorch susceptible to local Denial of Service
PyTorch susceptible to local Denial of Service
CVE-2024-31580High· 7.5PyTorch heap buffer overflow vulnerability
PyTorch heap buffer overflow vulnerability