Total
11158 CVE
| CVE | Vendors | Products | Updated | CVSS v2 | CVSS v3 |
|---|---|---|---|---|---|
| CVE-2021-38485 | 1 Emerson | 6 Wireless 1410 Gateway, Wireless 1410 Gateway Firmware, Wireless 1410d Gateway and 3 more | 2024-11-21 | 6.5 MEDIUM | 8.0 HIGH |
| The affected product is vulnerable to improper input validation in the restore file. This enables an attacker to provide malicious config files to replace any file on disk. | |||||
| CVE-2021-38455 | 1 Auvesy | 1 Versiondog | 2024-11-21 | 4.0 MEDIUM | 7.3 HIGH |
| The affected product’s OS Service does not verify any given parameter. A user can supply any type of parameter that will be passed to inner calls without checking the type of the parameter or the value. | |||||
| CVE-2021-38304 | 1 Ni | 1 Ni-pal | 2024-11-21 | 4.6 MEDIUM | 7.8 HIGH |
| Improper input validation in the National Instruments NI-PAL driver in versions 20.0.0 and prior may allow a privileged user to potentially enable escalation of privilege via local access. | |||||
| CVE-2021-38182 | 1 Kyma-project | 1 Kyma | 2024-11-21 | 6.5 MEDIUM | 8.8 HIGH |
| Due to insufficient input validation of Kyma, authenticated users can pass a Header of their choice and escalate privileges which can completely compromise the cluster. | |||||
| CVE-2021-38015 | 3 Debian, Fedoraproject, Google | 3 Debian Linux, Fedora, Chrome | 2024-11-21 | 6.8 MEDIUM | 8.8 HIGH |
| Inappropriate implementation in input in Google Chrome prior to 96.0.4664.45 allowed an attacker who convinced a user to install a malicious extension to bypass navigation restrictions via a crafted Chrome Extension. | |||||
| CVE-2021-37996 | 2 Debian, Google | 2 Debian Linux, Chrome | 2024-11-21 | 4.3 MEDIUM | 5.5 MEDIUM |
| Insufficient validation of untrusted input Downloads in Google Chrome prior to 95.0.4638.54 allowed a remote attacker to bypass navigation restrictions via a malicious file. | |||||
| CVE-2021-37914 | 1 Argo-workflows Project | 1 Argo-workflows | 2024-11-21 | 5.8 MEDIUM | 6.5 MEDIUM |
| In Argo Workflows through 3.1.3, if EXPRESSION_TEMPLATES is enabled and untrusted users are allowed to specify input parameters when running workflows, an attacker may be able to disrupt a workflow because expression template output is evaluated. | |||||
| CVE-2021-37909 | 1 Tssservisignadapter Project | 1 Tssservisignadapter | 2024-11-21 | 7.5 HIGH | 9.8 CRITICAL |
| WriteRegistry function in TSSServiSign component does not filter and verify users’ input, remote attackers can rewrite to the registry without permissions thus perform hijack attacks to execute arbitrary code. | |||||
| CVE-2021-37863 | 1 Mattermost | 1 Mattermost Server | 2024-11-21 | 3.5 LOW | 3.5 LOW |
| Mattermost 6.0 and earlier fails to sufficiently validate parameters during post creation, which allows authenticated attackers to cause a client-side crash of the web application via a maliciously crafted post. | |||||
| CVE-2021-37707 | 1 Shopware | 1 Shopware | 2024-11-21 | 5.0 MEDIUM | 6.5 MEDIUM |
| Shopware is an open source eCommerce platform. Versions prior to 6.4.3.1 contain a vulnerability that allows manipulation of product reviews via API. Version 6.4.3.1 contains a patch. As workarounds for older versions of 6.1, 6.2, and 6.3, corresponding security measures are also available via a plugin. | |||||
| CVE-2021-37692 | 1 Google | 1 Tensorflow | 2024-11-21 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an end-to-end open source platform for machine learning. In affected versions under certain conditions, Go code can trigger a segfault in string deallocation. For string tensors, `C.TF_TString_Dealloc` is called during garbage collection within a finalizer function. However, tensor structure isn't checked until encoding to avoid a performance penalty. The current method for dealloc assumes that encoding succeeded, but segfaults when a string tensor is garbage collected whose encoding failed (e.g., due to mismatched dimensions). To fix this, the call to set the finalizer function is deferred until `NewTensor` returns and, if encoding failed for a string tensor, deallocs are determined based on bytes written. We have patched the issue in GitHub commit 8721ba96e5760c229217b594f6d2ba332beedf22. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, which is the other affected version. | |||||
| CVE-2021-37677 | 1 Google | 1 Tensorflow | 2024-11-21 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an end-to-end open source platform for machine learning. In affected versions the shape inference code for `tf.raw_ops.Dequantize` has a vulnerability that could trigger a denial of service via a segfault if an attacker provides invalid arguments. The shape inference [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/ops/array_ops.cc#L2999-L3014) uses `axis` to select between two different values for `minmax_rank` which is then used to retrieve tensor dimensions. However, code assumes that `axis` can be either `-1` or a value greater than `-1`, with no validation for the other values. We have patched the issue in GitHub commit da857cfa0fde8f79ad0afdbc94e88b5d4bbec764. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range. | |||||
| CVE-2021-37674 | 1 Google | 1 Tensorflow | 2024-11-21 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can trigger a denial of service via a segmentation fault in `tf.raw_ops.MaxPoolGrad` caused by missing validation. The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/maxpooling_op.cc) misses some validation for the `orig_input` and `orig_output` tensors. The fixes for CVE-2021-29579 were incomplete. We have patched the issue in GitHub commit 136b51f10903e044308cf77117c0ed9871350475. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range. | |||||
| CVE-2021-37673 | 1 Google | 1 Tensorflow | 2024-11-21 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can trigger a denial of service via a `CHECK`-fail in `tf.raw_ops.MapStage`. The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/map_stage_op.cc#L513) does not check that the `key` input is a valid non-empty tensor. We have patched the issue in GitHub commit d7de67733925de196ec8863a33445b73f9562d1d. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range. | |||||
| CVE-2021-37665 | 1 Google | 1 Tensorflow | 2024-11-21 | 4.6 MEDIUM | 7.8 HIGH |
| TensorFlow is an end-to-end open source platform for machine learning. In affected versions due to incomplete validation in MKL implementation of requantization, an attacker can trigger undefined behavior via binding a reference to a null pointer or can access data outside the bounds of heap allocated arrays. The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/mkl/mkl_requantization_range_per_channel_op.cc) does not validate the dimensions of the `input` tensor. A similar issue occurs in `MklRequantizePerChannelOp`. The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/mkl/mkl_requantize_per_channel_op.cc) does not perform full validation for all the input arguments. We have patched the issue in GitHub commit 9e62869465573cb2d9b5053f1fa02a81fce21d69 and in the Github commit 203214568f5bc237603dbab6e1fd389f1572f5c9. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range. | |||||
| CVE-2021-37663 | 1 Google | 1 Tensorflow | 2024-11-21 | 4.6 MEDIUM | 7.8 HIGH |
| TensorFlow is an end-to-end open source platform for machine learning. In affected versions due to incomplete validation in `tf.raw_ops.QuantizeV2`, an attacker can trigger undefined behavior via binding a reference to a null pointer or can access data outside the bounds of heap allocated arrays. The [implementation](https://github.com/tensorflow/tensorflow/blob/84d053187cb80d975ef2b9684d4b61981bca0c41/tensorflow/core/kernels/quantize_op.cc#L59) has some validation but does not check that `min_range` and `max_range` both have the same non-zero number of elements. If `axis` is provided (i.e., not `-1`), then validation should check that it is a value in range for the rank of `input` tensor and then the lengths of `min_range` and `max_range` inputs match the `axis` dimension of the `input` tensor. We have patched the issue in GitHub commit 6da6620efad397c85493b8f8667b821403516708. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range. | |||||
| CVE-2021-37595 | 2 Freerdp, Microsoft | 2 Freerdp, Windows | 2024-11-21 | 7.5 HIGH | 9.8 CRITICAL |
| In FreeRDP before 2.4.0 on Windows, wf_cliprdr_server_file_contents_request in client/Windows/wf_cliprdr.c has missing input checks for a FILECONTENTS_RANGE File Contents Request PDU. | |||||
| CVE-2021-37594 | 2 Freerdp, Microsoft | 2 Freerdp, Windows | 2024-11-21 | 7.5 HIGH | 9.8 CRITICAL |
| In FreeRDP before 2.4.0 on Windows, wf_cliprdr_server_file_contents_request in client/Windows/wf_cliprdr.c has missing input checks for a FILECONTENTS_SIZE File Contents Request PDU. | |||||
| CVE-2021-37586 | 1 Mitel | 1 Interaction Recording | 2024-11-21 | 4.0 MEDIUM | 4.9 MEDIUM |
| The PowerPlay Web component of Mitel Interaction Recording Multitenancy systems before 6.7 could allow a user (with Administrator rights) to replay a previously recorded conversation of another tenant due to insufficient validation. | |||||
| CVE-2021-37206 | 1 Siemens | 3 Siprotec 5 With Cpu Variant Cp050, Siprotec 5 With Cpu Variant Cp100, Siprotec 5 With Cpu Variant Cp300 | 2024-11-21 | 5.0 MEDIUM | 7.5 HIGH |
| A vulnerability has been identified in SIPROTEC 5 relays with CPU variants CP050 (All versions < V8.80), SIPROTEC 5 relays with CPU variants CP100 (All versions < V8.80), SIPROTEC 5 relays with CPU variants CP300 (All versions < V8.80). Received webpackets are not properly processed. An unauthenticated remote attacker with access to any of the Ethernet interfaces could send specially crafted packets to force a restart of the target device. | |||||