AI Sec Watch

TensorFlow (an open source platform for machine learning) has a bug in the `tf.raw_ops.AvgPoolGrad` function where invalid input values can cause a floating point exception (a crash due to an illegal math operation). This affects TensorFlow versions before 2.12.0 and 2.11.1.

TensorFlow (an open-source machine learning platform) versions before 2.12.0 and 2.11.1 have a vulnerability that allows attackers to access heap memory (the part of a computer's memory used for dynamic storage) that shouldn't be accessible, potentially causing the program to crash or allowing remote code execution (running commands on a system remotely without authorization). This is caused by heap-based buffer overflow and out-of-bounds read errors (reading data from memory locations outside the intended boundaries).

TensorFlow, an open source machine learning platform, had an integer overflow vulnerability (a bug where calculations exceed the maximum number a computer can store) in versions before 2.12.0 and 2.11.1. The bug occurred when processing video frames with certain dimensions, potentially affecting full HD screencasts with at least 346 frames.

TensorFlow, an open source machine learning platform, had a floating point exception (a math error that crashes a program) in its AudioSpectrogram component before versions 2.12.0 and 2.11.1. This bug could cause the software to crash when processing certain audio data.

TensorFlow (an open source platform for machine learning) versions before 2.12.0 and 2.11.1 have a bug where the SparseSparseMaximum function crashes with a null pointer error (when the program tries to access memory that doesn't exist) if given invalid sparse tensors (multi-dimensional arrays with mostly empty values) as inputs. This is a stability issue that can cause the program to fail.

TensorFlow, an open source machine learning platform, had a heap buffer overflow vulnerability (a memory safety bug where data is written beyond allocated space) in a function called TAvgPoolGrad before versions 2.12.0 and 2.11.1. This vulnerability could potentially allow attackers to crash the software or execute code.

TensorFlow, an open source machine learning platform, had a vulnerability in versions before 2.12.0 and 2.11.1 where a null pointer dereference (a crash caused by trying to use a memory location that doesn't exist) could occur in the Lookup function when a certain pointer was null. This weakness is classified as CWE-476 (NULL Pointer Dereference).

TensorFlow, an open source machine learning platform, has a vulnerability in versions before 2.12.0 and 2.11.1 involving integer overflow (a math error where a number gets too large and wraps around) in the EditDistance function. This bug could potentially cause unexpected behavior or crashes in machine learning programs using affected versions.

TensorFlow, an open source platform for machine learning, has a bug in its `tf.raw_ops.Print` function that causes a seg fault (a crash where the program tries to access memory it shouldn't) when the `summarize` parameter is set to zero. The bug happens because the code tries to use a nullptr (a reference to nothing instead of valid data).