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 public and may be used.
Update torch to 2.13.0 if you use the affected versions. Test the change in a non-production environment first.
Local check
hol-guard supply-chain scanPyTorch is vulnerable to memory corruption through its torch.jit.script function affects torch (pip), torch (pip). Severity is low. 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 public and may be used.
AI coding agents often install or upgrade packages automatically in pip. A low vulnerability in a dependency can be pulled into a project through a normal install or update without a human reviewing the change, expanding the blast radius from a single package to every agent workspace that depends on it.
| Package | Affected range | Fixed version |
|---|---|---|
| torchpip | <=2.12.0 | Not reported |
| torchpip |
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 public and may be used.
Update torch to 2.13.0 if you use the affected versions. Test the change in a non-production environment first.
Local check
hol-guard supply-chain scanPyTorch is vulnerable to memory corruption through its torch.jit.script function affects torch (pip), torch (pip). Severity is low. 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 public and may be used.
AI coding agents often install or upgrade packages automatically in pip. A low vulnerability in a dependency can be pulled into a project through a normal install or update without a human reviewing the change, expanding the blast radius from a single package to every agent workspace that depends on it.
| Package | Affected range | Fixed version |
|---|---|---|
| torchpip | <=2.12.0 | Not reported |
| torchpip |
| <=2.12.1 |
| 2.13.0 |
Fixed versions are reported by the source feed; confirm compatibility before updating.
Reported by GitHub Security Advisories (ghsa).
HOL Guard can help your team review package activity against supported protection paths.
Explore HOL Guard| <=2.12.1 |
| 2.13.0 |
Fixed versions are reported by the source feed; confirm compatibility before updating.
Reported by GitHub Security Advisories (ghsa).
HOL Guard can help your team review package activity against supported protection paths.
Explore HOL Guard