#c++

A double free in cleanup_index in index.c in Halibut 1.2 allows an attacker to cause a denial of service or possibly have other unspecified impact via a crafted text document.

A use after free in info_width_internal in bk_info.c in Halibut 1.2 allows an attacker to cause a segmentation fault or possibly have unspecified other impact via a crafted text document.

A use after free in cleanup_index in index.c in Halibut 1.2 allows an attacker to cause a segmentation fault or possibly have other unspecified impact via a crafted text document.

PyJWT is a Python implementation of RFC 7519. PyJWT supports multiple different JWT signing algorithms. With JWT, an attacker submitting the JWT token can choose the used signing algorithm. The PyJWT library requires that the application chooses what algorithms are supported. The application can specify `jwt.algorithms.get_default_algorithms()` to get support for all algorithms, or specify a single algorithm. The issue is not that big as `algorithms=jwt.algorithms.get_default_algorithms()` has to be used. Users should upgrade to v2.4.0 to receive a patch for this issue. As a workaround, always be explicit with the algorithms that are accepted and expected when decoding.

Windows OS can be configured to overlay a “language bar” on top of any application. When this OS functionality is enabled, the OS language bar UI will be viewable in the browser alongside the AVEVA InTouch Access Anywhere and Plant SCADA Access Anywhere applications. It is possible to manipulate the Windows OS language bar to launch an OS command prompt, resulting in a context-escape from application into OS.

A heap buffer overflow was discovered in copy_bytes in decode_r2007.c in dwgread before 0.12.4 via a crafted dwg file.

A heap buffer overflow was discovered in copy_compressed_bytes in decode_r2007.c in dwgread before 0.12.4 via a crafted dwg file.

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, TensorFlow's `saved_model_cli` tool is vulnerable to a code injection. This can be used to open a reverse shell. This code path was maintained for compatibility reasons as the maintainers had several test cases where numpy expressions were used as arguments. However, given that the tool is always run manually, the impact of this is still not severe. The maintainers have now removed the `safe=False` argument, so all parsing is done without calling `eval`. The patch is available in versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4.

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the `tf.compat.v1.signal.rfft2d` and `tf.compat.v1.signal.rfft3d` lack input validation and under certain condition can result in crashes (due to `CHECK`-failures). Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.ragged.constant` does not fully validate the input arguments. This results in a denial of service by consuming all available memory. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.