CVE-2026-72852

hank-ai/darknet sizes a convolutional layer's weight and output heap buffers by multiplying configuration fields taken from a .cfg file in unchecked 32-bit int arithmetic. In src-lib/convolutionallayer.cpp, l.nweights is computed as c / groups n size size and l.outputs as l.outh l.outw l.outc, an...

CVE-2026-72852

hank-ai/darknet (a neural network framework) is affected by an integer overflow in src-lib/convolutional_layer.cpp that leads to a heap buffer overflow . Buffer sizes for convolutional layer weights and outputs are computed using unchecked 32-bit integer arithmetic on fields parsed from a .cfg fi...

CVE-2026-72852 darknet Integer Overflow in Convolutional Layer Buffer Sizing Leads to Heap Buffer Overflow

hank-ai/darknet sizes a convolutional layer's weight and output heap buffers by multiplying configuration fields taken from a .cfg file in unchecked 32-bit int arithmetic. In src-lib/convolutionallayer.cpp, l.nweights is computed as c / groups n size size and l.outputs as l.outh l.outw l.outc, an...

EUVD-2026-63536

hank-ai/darknet sizes a convolutional layer's weight and output heap buffers by multiplying configuration fields taken from a .cfg file in unchecked 32-bit int arithmetic. In src-lib/convolutionallayer.cpp, l.nweights is computed as c / groups n size size and l.outputs as l.outh l.outw l.outc, an...

CVE-2026-72852 darknet Integer Overflow in Convolutional Layer Buffer Sizing Leads to Heap Buffer Overflow

hank-ai/darknet sizes a convolutional layer's weight and output heap buffers by multiplying configuration fields taken from a .cfg file in unchecked 32-bit int arithmetic. In src-lib/convolutionallayer.cpp, l.nweights is computed as c / groups n size size and l.outputs as l.outh l.outw l.outc, an...

UBUNTU-CVE-2025-55558

A buffer overflow occurs in pytorch v2.7.0 when a PyTorch model consists of torch.nn.Conv2d, torch.nn.functional.hardshrink, and torch.Tensor.view-torch.mv and is compiled by Inductor, leading to a Denial of Service DoS...

CVE-2025-55559

TensorFlow v2.18.0 has a DoS in tf.keras.layers.Conv2D when padding is set to 'valid'. The issue is tied to the padding handling in Conv2D, with no explicit exploit details provided in the connected documents. Practical impact is Denial of Service (availability) as per the CVE metrics; the precis...

Reachable Assertion

Overview Affected versions of this package are vulnerable to Reachable Assertion when the model consists of torch.nn.Conv2d, torch.nn.functional.hardshrink, and torch.Tensor.view-torch.mv and compiled with Inductor. An attacker can cause the application to become unresponsive or crash by providin...

CVE-2025-55559

An issue was discovered TensorFlow v2.18.0. A Denial of Service DoS occurs when padding is set to 'valid' in tf.keras.layers.Conv2D...

PT-2022-23094

Name of the Vulnerable Software and Affected Versions TensorFlow versions prior to 2.10.0 TensorFlow versions 2.9.0 through 2.9.0 TensorFlow versions 2.8.0 through 2.8.0 TensorFlow versions 2.7.0 through 2.7.1 Description The issue occurs when the Conv2D function is given an empty input and valid...