torch@1.9.0 vulnerabilities
Tensors and Dynamic neural networks in Python with strong GPU acceleration
-
latest version
2.3.0
-
latest non vulnerable version
-
first published
5 years ago
-
latest version published
17 days ago
-
licenses detected
- [0,)
Direct Vulnerabilities
Known vulnerabilities in the torch package. This does not include vulnerabilities belonging to this package’s dependencies.
Automatically find and fix vulnerabilities affecting your projects. Snyk scans for vulnerabilities and provides fixes for free.Vulnerability | Vulnerable Version |
---|---|
torch is a Tensors and Dynamic neural networks in Python with strong GPU acceleration Affected versions of this package are vulnerable to Heap-based Buffer Overflow in the How to fix Heap-based Buffer Overflow? Upgrade |
[,2.2.0)
|
torch is a Tensors and Dynamic neural networks in Python with strong GPU acceleration Affected versions of this package are vulnerable to Use After Free due to improper handling of memory in the How to fix Use After Free? Upgrade |
[,2.2.0)
|
torch is a Tensors and Dynamic neural networks in Python with strong GPU acceleration Affected versions of this package are vulnerable to Race Condition in the database management. This occurred due to concurrent access to shared resources without adequate synchronization, causing unpredictable system behavior. How to fix Race Condition? Upgrade |
[,1.13.0)
|
torch is a Tensors and Dynamic neural networks in Python with strong GPU acceleration Affected versions of this package are vulnerable to Race Condition in the How to fix Race Condition? Upgrade |
[,1.10.0)
|
torch is a Tensors and Dynamic neural networks in Python with strong GPU acceleration Affected versions of this package are vulnerable to Command Injection in How to fix Command Injection? Upgrade |
[0,1.13.1)
|