ruby: buffer overflow in CGI.escape_html

CGI.escape_html in Ruby before 2.7.5 and 3.x before 3.0.3 has an integer overflow and resultant buffer overflow via a long string on platforms (such as Windows) where size_t and long have different numbers of bytes. This also affects the CGI gem before 0.3.1 for Ruby.

Storage Spaces Controller Elevation of Privilege Vulnerability

Storage Spaces Controller Elevation of Privilege Vulnerability

Missing validation during checkpoint loading

TensorFlow is an open source platform for machine learning. In affected versions an attacker can trigger undefined behavior, integer overflows, segfaults and `CHECK`-fail crashes if they can change saved checkpoints from outside of TensorFlow. This is because the checkpoints loading infrastructure is missing validation for invalid file formats. The fixes will be included in TensorFlow 2.7.0. We will also cherrypick these commits on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.

Overflow/crash in `tf.image.resize` when size is large

TensorFlow is an open source platform for machine learning. In affected versions if `tf.image.resize` is called with a large input argument then the TensorFlow process will crash due to a `CHECK`-failure caused by an overflow. The number of elements in the output tensor is too much for the `int64_t` type and the overflow is detected via a `CHECK` statement. This aborts the process. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.

Overflow/crash in `tf.tile` when tiling tensor is large

TensorFlow is an open source platform for machine learning. In affected versions if `tf.tile` is called with a large input argument then the TensorFlow process will crash due to a `CHECK`-failure caused by an overflow. The number of elements in the output tensor is too much for the `int64_t` type and the overflow is detected via a `CHECK` statement. This aborts the process. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.

Crashes due to overflow and `CHECK`-fail in ops with large tensor shapes

TensorFlow is an open source platform for machine learning. In affected versions TensorFlow allows tensor to have a large number of dimensions and each dimension can be as large as desired. However, the total number of elements in a tensor must fit within an `int64_t`. If an overflow occurs, `MultiplyWithoutOverflow` would return a negative result. In the majority of TensorFlow codebase this then results in a `CHECK`-failure. Newer constructs exist which return a `Status` instead of crashing the binary. This is similar to CVE-2021-29584. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.

Crash in `max_pool3d` when size argument is 0 or negative

TensorFlow is an open source platform for machine learning. In affected versions the Keras pooling layers can trigger a segfault if the size of the pool is 0 or if a dimension is negative. This is due to the TensorFlow's implementation of pooling operations where the values in the sliding window are not checked to be strictly positive. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.

Crash in `tf.math.segment_*` operations

TensorFlow is an open source platform for machine learning. In affected versions the implementation of `tf.math.segment_*` operations results in a `CHECK`-fail related abort (and denial of service) if a segment id in `segment_ids` is large. This is similar to CVE-2021-29584 (and similar other reported vulnerabilities in TensorFlow, localized to specific APIs): the implementation (both on CPU and GPU) computes the output shape using `AddDim`. However, if the number of elements in the tensor overflows an `int64_t` value, `AddDim` results in a `CHECK` failure which provokes a `std::abort`. Instead, code should use `AddDimWithStatus`. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.

Integer overflow issue with strings in Redis

Redis is an open source, in-memory database that persists on disk. An integer overflow bug in the underlying string library can be used to corrupt the heap and potentially result with denial of service or remote code execution. The vulnerability involves changing the default proto-max-bulk-len configuration parameter to a very large value and constructing specially crafted network payloads or commands. The problem is fixed in Redis versions 6.2.6, 6.0.16 and 5.0.14. An additional workaround to mitigate the problem without patching the redis-server executable is to prevent users from modifying the proto-max-bulk-len configuration parameter. This can be done using ACL to restrict unprivileged users from using the CONFIG SET command.

ZAngband zangband-data 2.7.5 is affected by an integer underflow vulnerability in src/tk/plat.c through the variable fileheader.bfOffBits.

When parsing a file that is submitted to the DPDecoder service as a job, the service will use the combination of decoding parameters that were submitted with the job along with fields that were parsed for the submitted video by the R3D SDK to calculate the size of a heap buffer. Due to an integer overflow with regards to this calculation, this can result in an undersized heap buffer being allocated. When this heap buffer is written to, a heap-based buffer overflow will occur. This can result in code execution under the context of the application.

haproxy: request smuggling attack or response splitting via duplicate content-length header

An integer overflow exists in HAProxy 2.0 through 2.5 in htx_add_header that can be exploited to perform an HTTP request smuggling attack, allowing an attacker to bypass all configured http-request HAProxy ACLs and possibly other ACLs.

There is an integer underflow vulnerability in the atcmdserver module. Successful exploitation of this vulnerability may affect integrity.

openexr: Integer-overflow in Imf_3_1::bytesPerDeepLineTable

An integer overflow could occur when OpenEXR processes a crafted file on systems where size_t < 64 bits. This could cause an invalid bytesPerLine and maxBytesPerLine value, which could lead to problems with application stability or lead to other attack paths.

QEMU: off-by-one error in mode_sense_page() in hw/scsi/scsi-disk.c

An off-by-one error was found in the SCSI device emulation in QEMU. It could occur while processing MODE SELECT commands in mode_sense_page() if the 'page' argument was set to MODE_PAGE_ALLS (0x3f). A malicious guest could use this flaw to potentially crash QEMU, resulting in a denial of service condition.

dcraw: Buffer overflow caused by integer-overflow in foveon_load_camf()

There is an integer overflow vulnerability in dcraw. When the victim runs dcraw with a maliciously crafted X3F input image, arbitrary code may be executed in the victim's system.

QEMU: pvrdma: unchecked malloc size due to integer overflow in init_dev_ring()

An integer overflow was found in the QEMU implementation of VMWare's paravirtual RDMA device in versions prior to 6.1.0. The issue occurs while handling a "PVRDMA_REG_DSRHIGH" write from the guest due to improper input validation. This flaw allows a privileged guest user to make QEMU allocate a large amount of memory, resulting in a denial of service. The highest threat from this vulnerability is to system availability.

OpenEXR: Heap-buffer-overflow in Imf_2_5::DeepTiledInputFile::readPixelSampleCounts

There's a flaw in OpenEXR's deep tile sample size calculations in versions before 3.0.0-beta. An attacker who is able to submit a crafted file to be processed by OpenEXR could trigger an integer overflow, subsequently leading to an out-of-bounds read. The greatest risk of this flaw is to application availability.

OpenEXR: Undefined-shift in Imf_2_5::unpack14

A flaw was found in OpenEXR's B44 uncompression functionality in versions before 3.0.0-beta. An attacker who is able to submit a crafted file to OpenEXR could trigger shift overflows, potentially affecting application availability.

OpenEXR: Integer-overflow in Imf_2_5::calculateNumTiles

There is a flaw in OpenEXR in versions before 3.0.0-beta. An attacker who can submit a crafted file to be processed by OpenEXR could cause an integer overflow, potentially leading to problems with application availability.