| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| Tensorflow is an Open Source Machine Learning Framework. Under certain scenarios, Grappler component of TensorFlow is vulnerable to an integer overflow during cost estimation for crop and resize. Since the cropping parameters are user controlled, a malicious person can trigger undefined behavior. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range. |
| Tensorflow is an Open Source Machine Learning Framework. The implementation of `OpLevelCostEstimator::CalculateOutputSize` is vulnerable to an integer overflow if an attacker can create an operation which would involve tensors with large enough number of elements. We can have a large enough number of dimensions in `output_shape.dim()` or just a small number of dimensions being large enough to cause an overflow in the multiplication. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range. |
| Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would cause an integer overflow in embedding lookup operations. Both `embedding_size` and `lookup_size` are products of values provided by the user. Hence, a malicious user could trigger overflows in the multiplication. In certain scenarios, this can then result in heap OOB read/write. Users are advised to upgrade to a patched version. |
| Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would cause an integer overflow in `TfLiteIntArrayCreate`. The `TfLiteIntArrayGetSizeInBytes` returns an `int` instead of a `size_t. An attacker can control model inputs such that `computed_size` overflows the size of `int` datatype. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range. |
| cmark-gfm is GitHub's extended version of the C reference implementation of CommonMark. Prior to versions 0.29.0.gfm.3 and 0.28.3.gfm.21, an integer overflow in cmark-gfm's table row parsing `table.c:row_from_string` may lead to heap memory corruption when parsing tables who's marker rows contain more than UINT16_MAX columns. The impact of this heap corruption ranges from Information Leak to Arbitrary Code Execution depending on how and where `cmark-gfm` is used. If `cmark-gfm` is used for rendering remote user controlled markdown, this vulnerability may lead to Remote Code Execution (RCE) in applications employing affected versions of the `cmark-gfm` library. This vulnerability has been patched in the following cmark-gfm versions 0.29.0.gfm.3 and 0.28.3.gfm.21. A workaround is available. The vulnerability exists in the table markdown extensions of cmark-gfm. Disabling the table extension will prevent this vulnerability from being triggered. |
| yajl-ruby is a C binding to the YAJL JSON parsing and generation library. The 1.x branch and the 2.x branch of `yajl` contain an integer overflow which leads to subsequent heap memory corruption when dealing with large (~2GB) inputs. The reallocation logic at `yajl_buf.c#L64` may result in the `need` 32bit integer wrapping to 0 when `need` approaches a value of 0x80000000 (i.e. ~2GB of data), which results in a reallocation of buf->alloc into a small heap chunk. These integers are declared as `size_t` in the 2.x branch of `yajl`, which practically prevents the issue from triggering on 64bit platforms, however this does not preclude this issue triggering on 32bit builds on which `size_t` is a 32bit integer. Subsequent population of this under-allocated heap chunk is based on the original buffer size, leading to heap memory corruption. This vulnerability mostly impacts process availability. Maintainers believe exploitation for arbitrary code execution is unlikely. A patch is available and anticipated to be part of yajl-ruby version 1.4.2. As a workaround, avoid passing large inputs to YAJL. |
| 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.raw_ops.SpaceToBatchND` (in all backends such as XLA and handwritten kernels) is vulnerable to an integer overflow: The result of this integer overflow is used to allocate the output tensor, hence we get a denial of service via a `CHECK`-failure (assertion failure), as in TFSA-2021-198. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue. |
| Memory corruption in WLAN due to integer overflow to buffer overflow while parsing GTK frames. in Snapdragon Auto, Snapdragon Compute, Snapdragon Connectivity, Snapdragon Consumer Electronics Connectivity, Snapdragon Consumer IOT, Snapdragon Industrial IOT, Snapdragon IoT, Snapdragon Mobile, Snapdragon Voice & Music, Snapdragon Wearables, Snapdragon Wired Infrastructure and Networking |
| In da, there is a possible out of bounds read due to an integer overflow. This could lead to local information disclosure, if an attacker has physical access to the device, with no additional execution privileges needed. User interaction is needed for exploitation. Patch ID: ALPS09291064; Issue ID: MSV-2046. |
| An integer overflow was addressed with improved input validation. This issue is fixed in iOS 15.6 and iPadOS 15.6, macOS Monterey 12.5. An app may be able to execute arbitrary code with kernel privileges. |
| The Security Team discovered an integer overflow bug that allows an attacker with code execution to issue memory cache invalidation operations on pages that they don’t own, allowing them to control kernel memory from userspace. We recommend upgrading to kernel version 4.1 or beyond. |
| A heap out-of-bounds memory write exists in FFMPEG since version 5.1. The size calculation in `build_open_gop_key_points()` goes through all entries in the loop and adds `sc->ctts_data[i].count` to `sc->sample_offsets_count`. This can lead to an integer overflow resulting in a small allocation with `av_calloc()`. An attacker can cause remote code execution via a malicious mp4 file. We recommend upgrading past commit c953baa084607dd1d84c3bfcce3cf6a87c3e6e05 |
| An exploitable integer overflow vulnerability exists in the xls_appendSST function of libxls 1.4.A specially crafted XLS file can cause memory corruption resulting in remote code execution. |
| Integer overflow leading to Heap buffer overflow in JBIG2Stream.cc in pdftocairo in Poppler before 0.56 allows remote attackers to cause a denial of service (application crash) or possibly have unspecified other impact via a crafted PDF document. |
| The PIM parser in tcpdump before 4.9.0 has a buffer overflow in print-pim.c:pimv2_check_checksum(). |
| Integer overflow in the bhyve hypervisor in FreeBSD 10.1, 10.2, 10.3, and 11.0 when configured with a large amount of guest memory, allows local users to gain privilege via a crafted device descriptor. |
| An integer overflow in the process_bin_append_prepend function in Memcached, which is responsible for processing multiple commands of Memcached binary protocol, can be abused to cause heap overflow and lead to remote code execution. |
| In Open vSwitch (OvS) 2.5.0, a malformed IP packet can cause the switch to read past the end of the packet buffer due to an unsigned integer underflow in `lib/flow.c` in the function `miniflow_extract`, permitting remote bypass of the access control list enforced by the switch. |
| An integer overflow in process_bin_sasl_auth function in Memcached, which is responsible for authentication commands of Memcached binary protocol, can be abused to cause heap overflow and lead to remote code execution. |
| Integer overflow in sfcommands/sfconvert.c in Audio File Library (aka audiofile) 0.3.6 allows remote attackers to cause a denial of service (crash) via a crafted file. |
