Total
430 CVE
| CVE | Vendors | Products | Updated | CVSS v2 | CVSS v3 |
|---|---|---|---|---|---|
| CVE-2022-36522 | 1 Mikrotik | 1 Routeros | 2024-02-04 | N/A | 6.5 MEDIUM |
| Mikrotik RouterOs through stable v6.48.3 was discovered to contain an assertion failure in the component /advanced-tools/nova/bin/netwatch. This vulnerability allows attackers to cause a Denial of Service (DoS) via a crafted packet. | |||||
| CVE-2022-36005 | 2024-02-04 | N/A | 7.5 HIGH | ||
| TensorFlow is an open source platform for machine learning. When `tf.quantization.fake_quant_with_min_max_vars_gradient` receives input `min` or `max` that is nonscalar, it gives a `CHECK` fail that can trigger a denial of service attack. We have patched the issue in GitHub commit f3cf67ac5705f4f04721d15e485e192bb319feed. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue. | |||||
| CVE-2022-35984 | 2024-02-04 | N/A | 7.5 HIGH | ||
| TensorFlow is an open source platform for machine learning. `ParameterizedTruncatedNormal` assumes `shape` is of type `int32`. A valid `shape` of type `int64` results in a mismatched type `CHECK` fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 72180be03447a10810edca700cbc9af690dfeb51. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue. | |||||
| CVE-2022-36002 | 2024-02-04 | N/A | 7.5 HIGH | ||
| TensorFlow is an open source platform for machine learning. When `Unbatch` receives a nonscalar input `id`, it gives a `CHECK` fail that can trigger a denial of service attack. We have patched the issue in GitHub commit 4419d10d576adefa36b0e0a9425d2569f7c0189f. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue. | |||||
| CVE-2022-35935 | 2024-02-04 | N/A | 7.5 HIGH | ||
| TensorFlow is an open source platform for machine learning. The implementation of SobolSampleOp is vulnerable to a denial of service via CHECK-failure (assertion failure) caused by assuming `input(0)`, `input(1)`, and `input(2)` to be scalar. This issue has been patched in GitHub commit c65c67f88ad770662e8f191269a907bf2b94b1bf. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue. | |||||
| CVE-2022-35963 | 2024-02-04 | N/A | 7.5 HIGH | ||
| TensorFlow is an open source platform for machine learning. The implementation of `FractionalAvgPoolGrad` does not fully validate the input `orig_input_tensor_shape`. This results in an overflow that results in a `CHECK` failure which can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 03a659d7be9a1154fdf5eeac221e5950fec07dad. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue. | |||||
| CVE-2022-35991 | 2024-02-04 | N/A | 7.5 HIGH | ||
| TensorFlow is an open source platform for machine learning. When `TensorListScatter` and `TensorListScatterV2` receive an `element_shape` of a rank greater than one, they give a `CHECK` fail that can trigger a denial of service attack. We have patched the issue in GitHub commit bb03fdf4aae944ab2e4b35c7daa051068a8b7f61. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue. | |||||
| CVE-2022-32082 | 1 Mariadb | 1 Mariadb | 2024-02-04 | 5.0 MEDIUM | 7.5 HIGH |
| MariaDB v10.5 to v10.7 was discovered to contain an assertion failure at table->get_ref_count() == 0 in dict0dict.cc. | |||||
| CVE-2022-35998 | 2024-02-04 | N/A | 7.5 HIGH | ||
| TensorFlow is an open source platform for machine learning. If `EmptyTensorList` receives an input `element_shape` with more than one dimension, it gives a `CHECK` fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit c8ba76d48567aed347508e0552a257641931024d. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue. | |||||
| CVE-2022-35993 | 2024-02-04 | N/A | 7.5 HIGH | ||
| TensorFlow is an open source platform for machine learning. When `SetSize` receives an input `set_shape` that is not a 1D tensor, it gives a `CHECK` fails that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit cf70b79d2662c0d3c6af74583641e345fc939467. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue. | |||||
| CVE-2021-46784 | 2 Debian, Squid-cache | 2 Debian Linux, Squid | 2024-02-04 | N/A | 6.5 MEDIUM |
| In Squid 3.x through 3.5.28, 4.x through 4.17, and 5.x before 5.6, due to improper buffer management, a Denial of Service can occur when processing long Gopher server responses. | |||||
| CVE-2022-35992 | 2024-02-04 | N/A | 7.5 HIGH | ||
| TensorFlow is an open source platform for machine learning. When `TensorListFromTensor` receives an `element_shape` of a rank greater than one, it gives a `CHECK` fail that can trigger a denial of service attack. We have patched the issue in GitHub commit 3db59a042a38f4338aa207922fa2f476e000a6ee. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue. | |||||
| CVE-2022-34967 | 1 Monetdb | 1 Monetdb | 2024-02-04 | N/A | 7.5 HIGH |
| The assertion `stmt->Dbc->FirstStmt' failed in MonetDB Database Server v11.43.13. | |||||
| CVE-2022-25671 | 1 Qualcomm | 28 Ar8035, Ar8035 Firmware, Qca8081 and 25 more | 2024-02-04 | N/A | 7.5 HIGH |
| Denial of service in MODEM due to reachable assertion in Snapdragon Mobile | |||||
| CVE-2022-36003 | 2024-02-04 | N/A | 7.5 HIGH | ||
| TensorFlow is an open source platform for machine learning. When `RandomPoissonV2` receives large input shape and rates, it gives a `CHECK` fail that can trigger a denial of service attack. We have patched the issue in GitHub commit 552bfced6ce4809db5f3ca305f60ff80dd40c5a3. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue. | |||||
| CVE-2022-35999 | 2024-02-04 | N/A | 7.5 HIGH | ||
| TensorFlow is an open source platform for machine learning. When `Conv2DBackpropInput` receives empty `out_backprop` inputs (e.g. `[3, 1, 0, 1]`), the current CPU/GPU kernels `CHECK` fail (one with dnnl, the other with cudnn). This can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 27a65a43cf763897fecfa5cdb5cc653fc5dd0346. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue. | |||||
| CVE-2022-35959 | 2024-02-04 | N/A | 7.5 HIGH | ||
| TensorFlow is an open source platform for machine learning. The implementation of `AvgPool3DGradOp` does not fully validate the input `orig_input_shape`. This results in an overflow that results in a `CHECK` failure which can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 9178ac9d6389bdc54638ab913ea0e419234d14eb. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue. | |||||
| CVE-2021-3430 | 1 Zephyrproject | 1 Zephyr | 2024-02-04 | 5.0 MEDIUM | 7.5 HIGH |
| Assertion reachable with repeated LL_CONNECTION_PARAM_REQ. Zephyr versions >= v1.14 contain Reachable Assertion (CWE-617). For more information, see https://github.com/zephyrproject-rtos/zephyr/security/advisories/GHSA-46h3-hjcq-2jjr | |||||
| CVE-2021-35073 | 1 Qualcomm | 112 Ar8035, Ar8035 Firmware, Qca6390 and 109 more | 2024-02-04 | 7.8 HIGH | 7.5 HIGH |
| Possible assertion due to improper validation of rank restriction field in Snapdragon Auto, Snapdragon Compute, Snapdragon Connectivity, Snapdragon Industrial IOT, Snapdragon Mobile | |||||
| CVE-2021-30326 | 1 Qualcomm | 106 Ar8035, Ar8035 Firmware, Qca6390 and 103 more | 2024-02-04 | 5.0 MEDIUM | 7.5 HIGH |
| Possible assertion due to improper size validation while processing the DownlinkPreemption IE in an RRC Reconfiguration/RRC Setup message in Snapdragon Auto, Snapdragon Compute, Snapdragon Connectivity, Snapdragon Industrial IOT, Snapdragon Mobile | |||||