ReportizFlow
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401 CVE
| CVE | Vendors | Products | Updated | CVSS v3.1 |
|---|---|---|---|---|
| CVE-2021-34703 | 1 Cisco | 203 1000 Integrated Services Router, 1100-4g\/6g Integrated Services Router, 1100-4p Integrated Services Router and 200 more | 2024-11-21 | 6.8 Medium |
| A vulnerability in the Link Layer Discovery Protocol (LLDP) message parser of Cisco IOS Software and Cisco IOS XE Software could allow an attacker to trigger a reload of an affected device, resulting in a denial of service (DoS) condition. This vulnerability is due to improper initialization of a buffer. An attacker could exploit this vulnerability via any of the following methods: An authenticated, remote attacker could access the LLDP neighbor table via either the CLI or SNMP while the device is in a specific state. An unauthenticated, adjacent attacker could corrupt the LLDP neighbor table by injecting specific LLDP frames into the network and then waiting for an administrator of the device or a network management system (NMS) managing the device to retrieve the LLDP neighbor table of the device via either the CLI or SNMP. An authenticated, adjacent attacker with SNMP read-only credentials or low privileges on the device CLI could corrupt the LLDP neighbor table by injecting specific LLDP frames into the network and then accessing the LLDP neighbor table via either the CLI or SNMP. A successful exploit could allow the attacker to cause the affected device to crash, resulting in a reload of the device. | ||||
| CVE-2021-34697 | 1 Cisco | 1 Ios Xe | 2024-11-21 | 5.8 Medium |
| A vulnerability in the Protection Against Distributed Denial of Service Attacks feature of Cisco IOS XE Software could allow an unauthenticated, remote attacker to conduct denial of service (DoS) attacks to or through the affected device. This vulnerability is due to incorrect programming of the half-opened connections limit, TCP SYN flood limit, or TCP SYN cookie features when the features are configured in vulnerable releases of Cisco IOS XE Software. An attacker could exploit this vulnerability by attempting to flood traffic to or through the affected device. A successful exploit could allow the attacker to initiate a DoS attack to or through an affected device. | ||||
| CVE-2021-34693 | 2 Debian, Linux | 2 Debian Linux, Linux Kernel | 2024-11-21 | 5.5 Medium |
| net/can/bcm.c in the Linux kernel through 5.12.10 allows local users to obtain sensitive information from kernel stack memory because parts of a data structure are uninitialized. | ||||
| CVE-2021-33638 | 1 Openeuler | 1 Isula | 2024-11-21 | 8.4 High |
| When the isula cp command is used to copy files from a container to a host machine and the container is controlled by an attacker, the attacker can escape the container. | ||||
| CVE-2021-33637 | 1 Openeuler | 1 Isula | 2024-11-21 | 8.4 High |
| When the isula export command is used to export a container to an image and the container is controlled by an attacker, the attacker can escape the container. | ||||
| CVE-2021-33636 | 1 Openeuler | 1 Isula | 2024-11-21 | 8.4 High |
| When the isula load command is used to load malicious images, attackers can execute arbitrary code. | ||||
| CVE-2021-33635 | 1 Openeuler | 1 Isula | 2024-11-21 | 9.8 Critical |
| When malicious images are pulled by isula pull, attackers can execute arbitrary code. | ||||
| CVE-2021-33634 | 1 Openeuler | 1 Icr | 2024-11-21 | 6.3 Medium |
| iSulad uses the lcr+lxc runtime (default) to run malicious images, which can cause DOS. | ||||
| CVE-2021-30962 | 1 Apple | 2 Macos, Tvos | 2024-11-21 | 5.5 Medium |
| A memory initialization issue was addressed with improved memory handling. This issue is fixed in tvOS 15.2, macOS Big Sur 11.6.2. Parsing a maliciously crafted audio file may lead to disclosure of user information. | ||||
| CVE-2021-29647 | 3 Debian, Fedoraproject, Linux | 3 Debian Linux, Fedora, Linux Kernel | 2024-11-21 | 5.5 Medium |
| An issue was discovered in the Linux kernel before 5.11.11. qrtr_recvmsg in net/qrtr/qrtr.c allows attackers to obtain sensitive information from kernel memory because of a partially uninitialized data structure, aka CID-50535249f624. | ||||
| CVE-2021-29614 | 1 Google | 1 Tensorflow | 2024-11-21 | 7.1 High |
| TensorFlow is an end-to-end open source platform for machine learning. The implementation of `tf.io.decode_raw` produces incorrect results and crashes the Python interpreter when combining `fixed_length` and wider datatypes. The implementation of the padded version(https://github.com/tensorflow/tensorflow/blob/1d8903e5b167ed0432077a3db6e462daf781d1fe/tensorflow/core/kernels/decode_padded_raw_op.cc) is buggy due to a confusion about pointer arithmetic rules. First, the code computes(https://github.com/tensorflow/tensorflow/blob/1d8903e5b167ed0432077a3db6e462daf781d1fe/tensorflow/core/kernels/decode_padded_raw_op.cc#L61) the width of each output element by dividing the `fixed_length` value to the size of the type argument. The `fixed_length` argument is also used to determine the size needed for the output tensor(https://github.com/tensorflow/tensorflow/blob/1d8903e5b167ed0432077a3db6e462daf781d1fe/tensorflow/core/kernels/decode_padded_raw_op.cc#L63-L79). This is followed by reencoding code(https://github.com/tensorflow/tensorflow/blob/1d8903e5b167ed0432077a3db6e462daf781d1fe/tensorflow/core/kernels/decode_padded_raw_op.cc#L85-L94). The erroneous code is the last line above: it is moving the `out_data` pointer by `fixed_length * sizeof(T)` bytes whereas it only copied at most `fixed_length` bytes from the input. This results in parts of the input not being decoded into the output. Furthermore, because the pointer advance is far wider than desired, this quickly leads to writing to outside the bounds of the backing data. This OOB write leads to interpreter crash in the reproducer mentioned here, but more severe attacks can be mounted too, given that this gadget allows writing to periodically placed locations in memory. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range. | ||||
| CVE-2021-29613 | 1 Google | 1 Tensorflow | 2024-11-21 | 6.3 Medium |
| TensorFlow is an end-to-end open source platform for machine learning. Incomplete validation in `tf.raw_ops.CTCLoss` allows an attacker to trigger an OOB read from heap. The fix will be included in TensorFlow 2.5.0. We will also cherrypick these commits on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range. | ||||
| CVE-2021-29611 | 1 Google | 1 Tensorflow | 2024-11-21 | 3.6 Low |
| TensorFlow is an end-to-end open source platform for machine learning. Incomplete validation in `SparseReshape` results in a denial of service based on a `CHECK`-failure. The implementation(https://github.com/tensorflow/tensorflow/blob/e87b51ce05c3eb172065a6ea5f48415854223285/tensorflow/core/kernels/sparse_reshape_op.cc#L40) has no validation that the input arguments specify a valid sparse tensor. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2 and TensorFlow 2.3.3, as these are the only affected versions. | ||||
| CVE-2021-29610 | 1 Google | 1 Tensorflow | 2024-11-21 | 3.6 Low |
| TensorFlow is an end-to-end open source platform for machine learning. The validation in `tf.raw_ops.QuantizeAndDequantizeV2` allows invalid values for `axis` argument:. The validation(https://github.com/tensorflow/tensorflow/blob/eccb7ec454e6617738554a255d77f08e60ee0808/tensorflow/core/kernels/quantize_and_dequantize_op.cc#L74-L77) uses `||` to mix two different conditions. If `axis_ < -1` the condition in `OP_REQUIRES` will still be true, but this value of `axis_` results in heap underflow. This allows attackers to read/write to other data on the heap. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range. | ||||
| CVE-2021-29609 | 1 Google | 1 Tensorflow | 2024-11-21 | 5.3 Medium |
| TensorFlow is an end-to-end open source platform for machine learning. Incomplete validation in `SparseAdd` results in allowing attackers to exploit undefined behavior (dereferencing null pointers) as well as write outside of bounds of heap allocated data. The implementation(https://github.com/tensorflow/tensorflow/blob/656e7673b14acd7835dc778867f84916c6d1cac2/tensorflow/core/kernels/sparse_add_op.cc) has a large set of validation for the two sparse tensor inputs (6 tensors in total), but does not validate that the tensors are not empty or that the second dimension of `*_indices` matches the size of corresponding `*_shape`. This allows attackers to send tensor triples that represent invalid sparse tensors to abuse code assumptions that are not protected by validation. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range. | ||||
| CVE-2021-28688 | 2 Debian, Linux | 2 Debian Linux, Linux Kernel | 2024-11-21 | 6.5 Medium |
| The fix for XSA-365 includes initialization of pointers such that subsequent cleanup code wouldn't use uninitialized or stale values. This initialization went too far and may under certain conditions also overwrite pointers which are in need of cleaning up. The lack of cleanup would result in leaking persistent grants. The leak in turn would prevent fully cleaning up after a respective guest has died, leaving around zombie domains. All Linux versions having the fix for XSA-365 applied are vulnerable. XSA-365 was classified to affect versions back to at least 3.11. | ||||
| CVE-2021-27025 | 3 Fedoraproject, Puppet, Redhat | 8 Fedora, Puppet, Puppet Agent and 5 more | 2024-11-21 | 6.5 Medium |
| A flaw was discovered in Puppet Agent where the agent may silently ignore Augeas settings or may be vulnerable to a Denial of Service condition prior to the first 'pluginsync'. | ||||
| CVE-2021-26353 | 1 Amd | 46 Epyc 72f3, Epyc 72f3 Firmware, Epyc 7313 and 43 more | 2024-11-21 | 7.8 High |
| Failure to validate inputs in SMM may allow an attacker to create a mishandled error leaving the DRTM UApp in a partially initialized state potentially resulting in loss of memory integrity. | ||||
| CVE-2021-26326 | 1 Amd | 40 Epyc 7232p, Epyc 7232p Firmware, Epyc 72f3 and 37 more | 2024-11-21 | 7.8 High |
| Failure to validate VM_HSAVE_PA during SNP_INIT may result in a loss of memory integrity. | ||||
| CVE-2021-26312 | 1 Amd | 114 Epyc 7232p, Epyc 7232p Firmware, Epyc 7251 and 111 more | 2024-11-21 | 5.5 Medium |
| Failure to flush the Translation Lookaside Buffer (TLB) of the I/O memory management unit (IOMMU) may lead an IO device to write to memory it should not be able to access, resulting in a potential loss of integrity. | ||||