Filtered by vendor Google
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Total
11915 CVE
| CVE | Vendors | Products | Updated | CVSS v2 | CVSS v3 |
|---|---|---|---|---|---|
| CVE-2016-4137 | 8 Adobe, Apple, Google and 5 more | 16 Flash Player, Flash Player Desktop Runtime, Macos and 13 more | 2021-11-19 | 9.3 HIGH | 8.8 HIGH |
| Unspecified vulnerability in Adobe Flash Player 21.0.0.242 and earlier, as used in the Adobe Flash libraries in Microsoft Internet Explorer 10 and 11 and Microsoft Edge, has unknown impact and attack vectors, a different vulnerability than other CVEs listed in MS16-083. | |||||
| CVE-2016-4136 | 8 Adobe, Apple, Google and 5 more | 16 Flash Player, Flash Player Desktop Runtime, Macos and 13 more | 2021-11-19 | 9.3 HIGH | 8.8 HIGH |
| Unspecified vulnerability in Adobe Flash Player 21.0.0.242 and earlier, as used in the Adobe Flash libraries in Microsoft Internet Explorer 10 and 11 and Microsoft Edge, has unknown impact and attack vectors, a different vulnerability than other CVEs listed in MS16-083. | |||||
| CVE-2016-4138 | 8 Adobe, Apple, Google and 5 more | 16 Flash Player, Flash Player Desktop Runtime, Macos and 13 more | 2021-11-19 | 10.0 HIGH | 9.8 CRITICAL |
| Unspecified vulnerability in Adobe Flash Player 21.0.0.242 and earlier, as used in the Adobe Flash libraries in Microsoft Internet Explorer 10 and 11 and Microsoft Edge, has unknown impact and attack vectors, a different vulnerability than other CVEs listed in MS16-083. | |||||
| CVE-2016-4135 | 8 Adobe, Apple, Google and 5 more | 16 Flash Player, Flash Player Desktop Runtime, Macos and 13 more | 2021-11-19 | 9.3 HIGH | 8.8 HIGH |
| Unspecified vulnerability in Adobe Flash Player 21.0.0.242 and earlier, as used in the Adobe Flash libraries in Microsoft Internet Explorer 10 and 11 and Microsoft Edge, has unknown impact and attack vectors, a different vulnerability than other CVEs listed in MS16-083. | |||||
| CVE-2016-4139 | 8 Adobe, Apple, Google and 5 more | 16 Flash Player, Flash Player Desktop Runtime, Macos and 13 more | 2021-11-19 | 9.3 HIGH | 8.8 HIGH |
| Unspecified vulnerability in Adobe Flash Player 21.0.0.242 and earlier, as used in the Adobe Flash libraries in Microsoft Internet Explorer 10 and 11 and Microsoft Edge, has unknown impact and attack vectors, a different vulnerability than other CVEs listed in MS16-083. | |||||
| CVE-2016-4140 | 8 Adobe, Apple, Google and 5 more | 16 Flash Player, Flash Player Desktop Runtime, Macos and 13 more | 2021-11-19 | 9.3 HIGH | 8.8 HIGH |
| Unspecified vulnerability in Adobe Flash Player 21.0.0.242 and earlier, as used in the Adobe Flash libraries in Microsoft Internet Explorer 10 and 11 and Microsoft Edge, has unknown impact and attack vectors, a different vulnerability than other CVEs listed in MS16-083. | |||||
| CVE-2016-4141 | 8 Adobe, Apple, Google and 5 more | 16 Flash Player, Flash Player Desktop Runtime, Macos and 13 more | 2021-11-19 | 9.3 HIGH | 8.8 HIGH |
| Unspecified vulnerability in Adobe Flash Player 21.0.0.242 and earlier, as used in the Adobe Flash libraries in Microsoft Internet Explorer 10 and 11 and Microsoft Edge, has unknown impact and attack vectors, a different vulnerability than other CVEs listed in MS16-083. | |||||
| CVE-2016-4142 | 8 Adobe, Apple, Google and 5 more | 16 Flash Player, Flash Player Desktop Runtime, Macos and 13 more | 2021-11-19 | 9.3 HIGH | 8.8 HIGH |
| Unspecified vulnerability in Adobe Flash Player 21.0.0.242 and earlier, as used in the Adobe Flash libraries in Microsoft Internet Explorer 10 and 11 and Microsoft Edge, has unknown impact and attack vectors, a different vulnerability than other CVEs listed in MS16-083. | |||||
| CVE-2016-4143 | 8 Adobe, Apple, Google and 5 more | 16 Flash Player, Flash Player Desktop Runtime, Macos and 13 more | 2021-11-19 | 9.3 HIGH | 8.8 HIGH |
| Unspecified vulnerability in Adobe Flash Player 21.0.0.242 and earlier, as used in the Adobe Flash libraries in Microsoft Internet Explorer 10 and 11 and Microsoft Edge, has unknown impact and attack vectors, a different vulnerability than other CVEs listed in MS16-083. | |||||
| CVE-2016-4134 | 8 Adobe, Apple, Google and 5 more | 16 Flash Player, Flash Player Desktop Runtime, Macos and 13 more | 2021-11-19 | 9.3 HIGH | 8.8 HIGH |
| Unspecified vulnerability in Adobe Flash Player 21.0.0.242 and earlier, as used in the Adobe Flash libraries in Microsoft Internet Explorer 10 and 11 and Microsoft Edge, has unknown impact and attack vectors, a different vulnerability than other CVEs listed in MS16-083. | |||||
| CVE-2016-4133 | 8 Adobe, Apple, Google and 5 more | 16 Flash Player, Flash Player Desktop Runtime, Macos and 13 more | 2021-11-19 | 9.3 HIGH | 8.8 HIGH |
| Unspecified vulnerability in Adobe Flash Player 21.0.0.242 and earlier, as used in the Adobe Flash libraries in Microsoft Internet Explorer 10 and 11 and Microsoft Edge, has unknown impact and attack vectors, a different vulnerability than other CVEs listed in MS16-083. | |||||
| CVE-2016-4144 | 8 Adobe, Apple, Google and 5 more | 16 Flash Player, Flash Player Desktop Runtime, Macos and 13 more | 2021-11-19 | 9.3 HIGH | 8.8 HIGH |
| Unspecified vulnerability in Adobe Flash Player 21.0.0.242 and earlier, as used in the Adobe Flash libraries in Microsoft Internet Explorer 10 and 11 and Microsoft Edge, has unknown impact and attack vectors, a different vulnerability than other CVEs listed in MS16-083. | |||||
| CVE-2016-4132 | 8 Adobe, Apple, Google and 5 more | 16 Flash Player, Flash Player Desktop Runtime, Macos and 13 more | 2021-11-19 | 9.3 HIGH | 8.8 HIGH |
| Unspecified vulnerability in Adobe Flash Player 21.0.0.242 and earlier, as used in the Adobe Flash libraries in Microsoft Internet Explorer 10 and 11 and Microsoft Edge, has unknown impact and attack vectors, a different vulnerability than other CVEs listed in MS16-083. | |||||
| CVE-2016-4131 | 8 Adobe, Apple, Google and 5 more | 16 Flash Player, Flash Player Desktop Runtime, Macos and 13 more | 2021-11-19 | 9.3 HIGH | 8.8 HIGH |
| Unspecified vulnerability in Adobe Flash Player 21.0.0.242 and earlier, as used in the Adobe Flash libraries in Microsoft Internet Explorer 10 and 11 and Microsoft Edge, has unknown impact and attack vectors, a different vulnerability than other CVEs listed in MS16-083. | |||||
| CVE-2016-4146 | 8 Adobe, Apple, Google and 5 more | 16 Flash Player, Flash Player Desktop Runtime, Macos and 13 more | 2021-11-19 | 9.3 HIGH | 8.8 HIGH |
| Unspecified vulnerability in Adobe Flash Player 21.0.0.242 and earlier, as used in the Adobe Flash libraries in Microsoft Internet Explorer 10 and 11 and Microsoft Edge, has unknown impact and attack vectors, a different vulnerability than other CVEs listed in MS16-083. | |||||
| CVE-2020-15213 | 1 Google | 1 Tensorflow | 2021-11-18 | 4.3 MEDIUM | 4.0 MEDIUM |
| In TensorFlow Lite before versions 2.2.1 and 2.3.1, models using segment sum can trigger a denial of service by causing an out of memory allocation in the implementation of segment sum. Since code uses the last element of the tensor holding them to determine the dimensionality of output tensor, attackers can use a very large value to trigger a large allocation. The issue is patched in commit 204945b19e44b57906c9344c0d00120eeeae178a and is released in TensorFlow versions 2.2.1, or 2.3.1. A potential workaround would be to add a custom `Verifier` to limit the maximum value in the segment ids tensor. This only handles the case when the segment ids are stored statically in the model, but a similar validation could be done if the segment ids are generated at runtime, between inference steps. However, if the segment ids are generated as outputs of a tensor during inference steps, then there are no possible workaround and users are advised to upgrade to patched code. | |||||
| CVE-2020-15210 | 2 Google, Opensuse | 2 Tensorflow, Leap | 2021-11-18 | 5.8 MEDIUM | 6.5 MEDIUM |
| In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, if a TFLite saved model uses the same tensor as both input and output of an operator, then, depending on the operator, we can observe a segmentation fault or just memory corruption. We have patched the issue in d58c96946b and will release patch releases for all versions between 1.15 and 2.3. We recommend users to upgrade to TensorFlow 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1. | |||||
| CVE-2020-15207 | 2 Google, Opensuse | 2 Tensorflow, Leap | 2021-11-18 | 6.8 MEDIUM | 9.0 CRITICAL |
| In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, to mimic Python's indexing with negative values, TFLite uses `ResolveAxis` to convert negative values to positive indices. However, the only check that the converted index is now valid is only present in debug builds. If the `DCHECK` does not trigger, then code execution moves ahead with a negative index. This, in turn, results in accessing data out of bounds which results in segfaults and/or data corruption. The issue is patched in commit 2d88f470dea2671b430884260f3626b1fe99830a, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1. | |||||
| CVE-2020-15205 | 2 Google, Opensuse | 2 Tensorflow, Leap | 2021-11-18 | 7.5 HIGH | 9.8 CRITICAL |
| In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the `data_splits` argument of `tf.raw_ops.StringNGrams` lacks validation. This allows a user to pass values that can cause heap overflow errors and even leak contents of memory In the linked code snippet, all the binary strings after `ee ff` are contents from the memory stack. Since these can contain return addresses, this data leak can be used to defeat ASLR. The issue is patched in commit 0462de5b544ed4731aa2fb23946ac22c01856b80, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1. | |||||
| CVE-2020-15203 | 2 Google, Opensuse | 2 Tensorflow, Leap | 2021-11-18 | 5.0 MEDIUM | 7.5 HIGH |
| In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, by controlling the `fill` argument of tf.strings.as_string, a malicious attacker is able to trigger a format string vulnerability due to the way the internal format use in a `printf` call is constructed. This may result in segmentation fault. The issue is patched in commit 33be22c65d86256e6826666662e40dbdfe70ee83, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1. | |||||