Total
10481 CVE
| CVE | Vendors | Products | Updated | CVSS v2 | CVSS v3 |
|---|---|---|---|---|---|
| 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-2020-15201 | 1 Google | 1 Tensorflow | 2021-11-18 | 6.8 MEDIUM | 4.8 MEDIUM |
| In Tensorflow before version 2.3.1, the `RaggedCountSparseOutput` implementation does not validate that the input arguments form a valid ragged tensor. In particular, there is no validation that the values in the `splits` tensor generate a valid partitioning of the `values` tensor. Hence, the code is prone to heap buffer overflow. If `split_values` does not end with a value at least `num_values` then the `while` loop condition will trigger a read outside of the bounds of `split_values` once `batch_idx` grows too large. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1. | |||||
| CVE-2020-15200 | 1 Google | 1 Tensorflow | 2021-11-18 | 4.3 MEDIUM | 5.9 MEDIUM |
| In Tensorflow before version 2.3.1, the `RaggedCountSparseOutput` implementation does not validate that the input arguments form a valid ragged tensor. In particular, there is no validation that the values in the `splits` tensor generate a valid partitioning of the `values` tensor. Thus, the code sets up conditions to cause a heap buffer overflow. A `BatchedMap` is equivalent to a vector where each element is a hashmap. However, if the first element of `splits_values` is not 0, `batch_idx` will never be 1, hence there will be no hashmap at index 0 in `per_batch_counts`. Trying to access that in the user code results in a segmentation fault. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1. | |||||
| CVE-2020-15195 | 2 Google, Opensuse | 2 Tensorflow, Leap | 2021-11-18 | 6.5 MEDIUM | 8.8 HIGH |
| In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the implementation of `SparseFillEmptyRowsGrad` uses a double indexing pattern. It is possible for `reverse_index_map(i)` to be an index outside of bounds of `grad_values`, thus resulting in a heap buffer overflow. The issue is patched in commit 390611e0d45c5793c7066110af37c8514e6a6c54, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1. | |||||
| CVE-2020-12903 | 2 Amd, Microsoft | 2 Radeon Software, Windows 10 | 2021-11-18 | 4.6 MEDIUM | 7.8 HIGH |
| Out of Bounds Write and Read in AMD Graphics Driver for Windows 10 in Escape 0x6002d03 may lead to escalation of privilege or denial of service. | |||||
| CVE-2020-12894 | 2 Amd, Microsoft | 2 Radeon Software, Windows 10 | 2021-11-17 | 3.6 LOW | 7.1 HIGH |
| Arbitrary Write in AMD Graphics Driver for Windows 10 in Escape 0x40010d may lead to arbitrary write to kernel memory or denial of service. | |||||
| CVE-2020-12898 | 2 Amd, Microsoft | 2 Radeon Software, Windows 10 | 2021-11-17 | 4.6 MEDIUM | 7.8 HIGH |
| Stack Buffer Overflow in AMD Graphics Driver for Windows 10 may lead to escalation of privilege or denial of service. | |||||
| CVE-2020-12893 | 2 Amd, Microsoft | 2 Radeon Software, Windows 10 | 2021-11-17 | 4.6 MEDIUM | 7.8 HIGH |
| Stack Buffer Overflow in AMD Graphics Driver for Windows 10 in Escape 0x15002a may lead to escalation of privilege or denial of service. | |||||
| CVE-2020-12895 | 2 Amd, Microsoft | 2 Radeon Software, Windows 10 | 2021-11-17 | 4.6 MEDIUM | 7.8 HIGH |
| Pool/Heap Overflow in AMD Graphics Driver for Windows 10 in Escape 0x110037 may lead to escalation of privilege, information disclosure or denial of service. | |||||
| CVE-2021-34991 | 1 Netgear | 88 Cax80, Cax80 Firmware, D6220 and 85 more | 2021-11-17 | 8.3 HIGH | 8.8 HIGH |
| This vulnerability allows network-adjacent attackers to execute arbitrary code on affected installations of NETGEAR R6400v2 1.0.4.106_10.0.80 routers. Authentication is not required to exploit this vulnerability. The specific flaw exists within the UPnP service, which listens on TCP port 5000 by default. When parsing the uuid request header, the process does not properly validate the length of user-supplied data prior to copying it to a fixed-length stack-based buffer. An attacker can leverage this vulnerability to execute code in the context of root. Was ZDI-CAN-14110. | |||||
| CVE-2021-30265 | 1 Qualcomm | 190 Apq8053, Apq8053 Firmware, Aqt1000 and 187 more | 2021-11-16 | 4.6 MEDIUM | 6.7 MEDIUM |
| Possible memory corruption due to improper validation of memory address while processing user-space IOCTL for clearing Filter and Route statistics in Snapdragon Auto, Snapdragon Compute, Snapdragon Connectivity, Snapdragon Consumer IOT, Snapdragon Industrial IOT, Snapdragon Mobile, Snapdragon Voice & Music, Snapdragon Wearables | |||||
| CVE-2021-1979 | 1 Qualcomm | 244 Aqt1000, Aqt1000 Firmware, Ar8035 and 241 more | 2021-11-16 | 7.2 HIGH | 7.8 HIGH |
| Possible buffer overflow due to improper validation of FTM command payload in Snapdragon Auto, Snapdragon Compute, Snapdragon Connectivity, Snapdragon Consumer IOT, Snapdragon Industrial IOT, Snapdragon Mobile | |||||
| CVE-2021-1975 | 1 Qualcomm | 360 Apq8009, Apq8009 Firmware, Apq8009w and 357 more | 2021-11-16 | 10.0 HIGH | 9.8 CRITICAL |
| Possible heap overflow due to improper length check of domain while parsing the DNS response in Snapdragon Auto, Snapdragon Compute, Snapdragon Connectivity, Snapdragon Consumer IOT, Snapdragon Industrial IOT, Snapdragon IoT, Snapdragon Voice & Music, Snapdragon Wearables | |||||
| CVE-2020-23887 | 1 Xnview | 1 Xnview Mp | 2021-11-15 | 4.3 MEDIUM | 5.5 MEDIUM |
| XnView MP v0.96.4 was discovered to contain a heap overflow which allows attackers to cause a denial of service (DoS) via a crafted ico file. Related to a Read Access Violation starting at USER32!SmartStretchDIBits+0x33. | |||||
| CVE-2021-3064 | 1 Paloaltonetworks | 1 Pan-os | 2021-11-15 | 10.0 HIGH | 9.8 CRITICAL |
| A memory corruption vulnerability exists in Palo Alto Networks GlobalProtect portal and gateway interfaces that enables an unauthenticated network-based attacker to disrupt system processes and potentially execute arbitrary code with root privileges. The attacker must have network access to the GlobalProtect interface to exploit this issue. This issue impacts PAN-OS 8.1 versions earlier than PAN-OS 8.1.17. Prisma Access customers are not impacted by this issue. | |||||
| CVE-2021-3056 | 1 Paloaltonetworks | 1 Pan-os | 2021-11-15 | 8.5 HIGH | 8.8 HIGH |
| A memory corruption vulnerability in Palo Alto Networks PAN-OS GlobalProtect Clientless VPN enables an authenticated attacker to execute arbitrary code with root user privileges during SAML authentication. This issue impacts: PAN-OS 8.1 versions earlier than PAN-OS 8.1.20; PAN-OS 9.0 versions earlier than PAN-OS 9.0.14; PAN-OS 9.1 versions earlier than PAN-OS 9.1.9; PAN-OS 10.0 versions earlier than PAN-OS 10.0.1. Prisma Access customers with Prisma Access 2.1 Preferred firewalls are impacted by this issue. | |||||
| CVE-2020-23891 | 1 Wildbit-soft | 1 Wildbit Viewer | 2021-11-13 | 4.3 MEDIUM | 5.5 MEDIUM |
| A User Mode Write AV in Editor+0x5cd7 of WildBit Viewer v6.6 allows attackers to cause a denial of service (DoS) via a crafted tiff file. | |||||
| CVE-2020-23893 | 1 Wildbit-soft | 1 Wildbit Viewer | 2021-11-13 | 4.3 MEDIUM | 5.5 MEDIUM |
| A User Mode Write AV in Editor!TMethodImplementationIntercept+0x3c3682 of WildBit Viewer v6.6 allows attackers to cause a denial of service (DoS) via a crafted tiff file. | |||||