Total
246 CVE
| CVE | Vendors | Products | Updated | CVSS v3.1 |
|---|---|---|---|---|
| CVE-2022-23636 | 1 Bytecodealliance | 1 Wasmtime | 2024-11-21 | 5.1 Medium |
| Wasmtime is an open source runtime for WebAssembly & WASI. Prior to versions 0.34.1 and 0.33.1, there exists a bug in the pooling instance allocator in Wasmtime's runtime where a failure to instantiate an instance for a module that defines an `externref` global will result in an invalid drop of a `VMExternRef` via an uninitialized pointer. A number of conditions listed in the GitHub Security Advisory must be true in order for an instance to be vulnerable to this issue. Maintainers believe that the effective impact of this bug is relatively small because the usage of `externref` is still uncommon and without a resource limiter configured on the `Store`, which is not the default configuration, it is only possible to trigger the bug from an error returned by `mprotect` or `VirtualAlloc`. Note that on Linux with the `uffd` feature enabled, it is only possible to trigger the bug from a resource limiter as the call to `mprotect` is skipped. The bug has been fixed in 0.34.1 and 0.33.1 and users are encouraged to upgrade as soon as possible. If it is not possible to upgrade to version 0.34.1 or 0.33.1 of the `wasmtime` crate, it is recommend that support for the reference types proposal be disabled by passing `false` to `Config::wasm_reference_types`. Doing so will prevent modules that use `externref` from being loaded entirely. | ||||
| CVE-2022-22236 | 1 Juniper | 46 Junos, Mx10, Mx10000 and 43 more | 2024-11-21 | 7.5 High |
| An Access of Uninitialized Pointer vulnerability in SIP Application Layer Gateway (ALG) of Juniper Networks Junos OS on SRX Series and MX Series allows an unauthenticated, network-based attacker to cause a Denial of Service (DoS). When specific valid SIP packets are received the PFE will crash and restart. This issue affects Juniper Networks Junos OS on SRX Series and MX Series: 20.4 versions prior to 20.4R3-S4; 21.1 versions prior to 21.1R3-S2; 21.2 versions prior to 21.2R3-S2; 21.3 versions prior to 21.3R2-S2, 21.3R3; 21.4 versions prior to 21.4R1-S2, 21.4R2; 22.1 versions prior to 22.1R1-S1, 22.1R2. This issue does not affect Juniper Networks Junos OS versions prior to 20.4R1. | ||||
| CVE-2022-22198 | 1 Juniper | 45 Junos, Mx10, Mx10000 and 42 more | 2024-11-21 | 7.5 High |
| An Access of Uninitialized Pointer vulnerability in the SIP ALG of Juniper Networks Junos OS allows an unauthenticated network-based attacker to cause a Denial of Service (DoS). Continued receipt of these specific packets will cause a sustained Denial of Service condition. On all MX and SRX platforms, if the SIP ALG is enabled, an MS-MPC or MS-MIC, or SPC will crash if it receives a SIP message with a specific contact header format. This issue affects Juniper Networks Junos OS on MX Series and SRX Series: 20.4 versions prior to 20.4R3; 21.1 versions prior to 21.1R2-S1, 21.1R3; 21.2 versions prior to 21.2R2. This issue does not affect versions prior to 20.4R1. | ||||
| CVE-2022-21168 | 1 Fujielectric | 2 Alpha5 Smart Loader, Alpha5 Smart Loader Firmware | 2024-11-21 | 3.3 Low |
| The affected product is vulnerable due to an invalid pointer initialization, which may lead to information disclosure. | ||||
| CVE-2022-21156 | 1 Intel | 1 Trace Analyzer And Collector | 2024-11-21 | 5.5 Medium |
| Access of uninitialized pointer in the Intel(R) Trace Analyzer and Collector before version 2021.5 may allow an authenticated user to potentially enable denial of service via local access. | ||||
| CVE-2022-1809 | 1 Radare | 1 Radare2 | 2024-11-21 | 7.8 High |
| Access of Uninitialized Pointer in GitHub repository radareorg/radare2 prior to 5.7.0. | ||||
| CVE-2022-1122 | 4 Debian, Fedoraproject, Redhat and 1 more | 4 Debian Linux, Fedora, Enterprise Linux and 1 more | 2024-11-21 | 5.5 Medium |
| A flaw was found in the opj2_decompress program in openjpeg2 2.4.0 in the way it handles an input directory with a large number of files. When it fails to allocate a buffer to store the filenames of the input directory, it calls free() on an uninitialized pointer, leading to a segmentation fault and a denial of service. | ||||
| CVE-2022-1016 | 2 Linux, Redhat | 4 Linux Kernel, Enterprise Linux, Rhel Eus and 1 more | 2024-11-21 | 5.5 Medium |
| A flaw was found in the Linux kernel in net/netfilter/nf_tables_core.c:nft_do_chain, which can cause a use-after-free. This issue needs to handle 'return' with proper preconditions, as it can lead to a kernel information leak problem caused by a local, unprivileged attacker. | ||||
| CVE-2021-4218 | 1 Linux | 1 Linux Kernel | 2024-11-21 | 5.5 Medium |
| A flaw was found in the Linux kernel’s implementation of reading the SVC RDMA counters. Reading the counter sysctl panics the system. This flaw allows a local attacker with local access to cause a denial of service while the system reboots. The issue is specific to CentOS/RHEL. | ||||
| CVE-2021-43746 | 2 Adobe, Microsoft | 2 Premiere Rush, Windows | 2024-11-21 | 5.5 Medium |
| Adobe Premiere Rush versions 1.5.16 (and earlier) allows access to an uninitialized pointer vulnerability that allows remote attackers to disclose sensitive information on affected installations. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file. The specific flaw exists within the parsing of MP4 files. The issue results from the lack of proper initialization of memory prior to accessing it. | ||||
| CVE-2021-43030 | 2 Adobe, Microsoft | 2 Premiere Rush, Windows | 2024-11-21 | 3.3 Low |
| Adobe Premiere Rush versions 1.5.16 (and earlier) allows access to an uninitialized pointer vulnerability that allows remote attackers to disclose arbitrary data on affected installations. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file. The specific flaw exists within the parsing of MP4 files. The issue results from the lack of proper initialization of memory prior to accessing it. | ||||
| CVE-2021-42702 | 1 Inkscape | 1 Inkscape | 2024-11-21 | 3.3 Low |
| Inkscape version 0.91 can access an uninitialized pointer, which may allow an attacker to have access to unauthorized information. | ||||
| CVE-2021-41538 | 1 Siemens | 13 Nx 1957, Nx 1957 Firmware, Nx 1961 and 10 more | 2024-11-21 | 3.3 Low |
| A vulnerability has been identified in NX 1953 Series (All versions < V1973.3700), NX 1980 Series (All versions < V1988), Solid Edge SE2021 (All versions < SE2021MP8). The affected application is vulnerable to information disclosure by unexpected access to an uninitialized pointer while parsing user-supplied OBJ files. An attacker could leverage this vulnerability to leak information from unexpected memory locations (ZDI-CAN-13770). | ||||
| CVE-2021-41219 | 1 Google | 1 Tensorflow | 2024-11-21 | 7.8 High |
| TensorFlow is an open source platform for machine learning. In affected versions the code for sparse matrix multiplication is vulnerable to undefined behavior via binding a reference to `nullptr`. This occurs whenever the dimensions of `a` or `b` are 0 or less. In the case on one of these is 0, an empty output tensor should be allocated (to conserve the invariant that output tensors are always allocated when the operation is successful) but nothing should be written to it (that is, we should return early from the kernel implementation). Otherwise, attempts to write to this empty tensor would result in heap OOB access. 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. | ||||
| CVE-2021-41214 | 1 Google | 1 Tensorflow | 2024-11-21 | 7.8 High |
| TensorFlow is an open source platform for machine learning. In affected versions the shape inference code for `tf.ragged.cross` has an undefined behavior due to binding a reference to `nullptr`. 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. | ||||
| CVE-2021-41208 | 1 Google | 1 Tensorflow | 2024-11-21 | 8.8 High |
| TensorFlow is an open source platform for machine learning. In affected versions the code for boosted trees in TensorFlow is still missing validation. As a result, attackers can trigger denial of service (via dereferencing `nullptr`s or via `CHECK`-failures) as well as abuse undefined behavior (binding references to `nullptr`s). An attacker can also read and write from heap buffers, depending on the API that gets used and the arguments that are passed to the call. Given that the boosted trees implementation in TensorFlow is unmaintained, it is recommend to no longer use these APIs. We will deprecate TensorFlow's boosted trees APIs in subsequent releases. 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. | ||||
| CVE-2021-41204 | 1 Google | 1 Tensorflow | 2024-11-21 | 5.5 Medium |
| TensorFlow is an open source platform for machine learning. In affected versions during TensorFlow's Grappler optimizer phase, constant folding might attempt to deep copy a resource tensor. This results in a segfault, as these tensors are supposed to not change. 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. | ||||
| CVE-2021-41201 | 1 Google | 1 Tensorflow | 2024-11-21 | 7.8 High |
| TensorFlow is an open source platform for machine learning. In affeced versions during execution, `EinsumHelper::ParseEquation()` is supposed to set the flags in `input_has_ellipsis` vector and `*output_has_ellipsis` boolean to indicate whether there is ellipsis in the corresponding inputs and output. However, the code only changes these flags to `true` and never assigns `false`. This results in unitialized variable access if callers assume that `EinsumHelper::ParseEquation()` always sets these flags. 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. | ||||
| CVE-2021-3608 | 3 Debian, Fedoraproject, Qemu | 3 Debian Linux, Fedora, Qemu | 2024-11-21 | 6.0 Medium |
| A flaw 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 and may result in a crash of QEMU or cause undefined behavior due to the access of an uninitialized pointer. The highest threat from this vulnerability is to system availability. | ||||
| CVE-2021-3595 | 4 Debian, Fedoraproject, Libslirp Project and 1 more | 4 Debian Linux, Fedora, Libslirp and 1 more | 2024-11-21 | 3.8 Low |
| An invalid pointer initialization issue was found in the SLiRP networking implementation of QEMU. The flaw exists in the tftp_input() function and could occur while processing a udp packet that is smaller than the size of the 'tftp_t' structure. This issue may lead to out-of-bounds read access or indirect host memory disclosure to the guest. The highest threat from this vulnerability is to data confidentiality. This flaw affects libslirp versions prior to 4.6.0. | ||||