Total
7414 CVE
| CVE | Vendors | Products | Updated | CVSS v2 | CVSS v3 |
|---|---|---|---|---|---|
| CVE-2021-2123 | 1 Oracle | 1 Vm Virtualbox | 2024-11-21 | 2.1 LOW | 3.2 LOW |
| Vulnerability in the Oracle VM VirtualBox product of Oracle Virtualization (component: Core). The supported version that is affected is Prior to 6.1.18. Easily exploitable vulnerability allows high privileged attacker with logon to the infrastructure where Oracle VM VirtualBox executes to compromise Oracle VM VirtualBox. While the vulnerability is in Oracle VM VirtualBox, attacks may significantly impact additional products. Successful attacks of this vulnerability can result in unauthorized read access to a subset of Oracle VM VirtualBox accessible data. CVSS 3.1 Base Score 3.2 (Confidentiality impacts). CVSS Vector: (CVSS:3.1/AV:L/AC:L/PR:H/UI:N/S:C/C:L/I:N/A:N). | |||||
| CVE-2021-2045 | 1 Oracle | 1 Text | 2024-11-21 | 3.5 LOW | 3.1 LOW |
| Vulnerability in the Oracle Text component of Oracle Database Server. Supported versions that are affected are 12.1.0.2, 12.2.0.1, 18c and 19c. Difficult to exploit vulnerability allows low privileged attacker having Create Session privilege with network access via Oracle Net to compromise Oracle Text. Successful attacks of this vulnerability can result in unauthorized ability to cause a partial denial of service (partial DOS) of Oracle Text. CVSS 3.1 Base Score 3.1 (Availability impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L). | |||||
| CVE-2021-2042 | 2 Netapp, Oracle | 4 Oncommand Insight, Oncommand Workflow Automation, Snapcenter and 1 more | 2024-11-21 | 2.1 LOW | 2.3 LOW |
| Vulnerability in the MySQL Server product of Oracle MySQL (component: InnoDB). Supported versions that are affected are 8.0.21 and prior. Easily exploitable vulnerability allows high privileged attacker with logon to the infrastructure where MySQL Server executes to compromise MySQL Server. Successful attacks of this vulnerability can result in unauthorized read access to a subset of MySQL Server accessible data. CVSS 3.1 Base Score 2.3 (Confidentiality impacts). CVSS Vector: (CVSS:3.1/AV:L/AC:L/PR:H/UI:N/S:U/C:L/I:N/A:N). | |||||
| CVE-2021-2019 | 3 Fedoraproject, Netapp, Oracle | 5 Fedora, Oncommand Insight, Oncommand Workflow Automation and 2 more | 2024-11-21 | 4.0 MEDIUM | 2.7 LOW |
| Vulnerability in the MySQL Server product of Oracle MySQL (component: Server: Security: Privileges). Supported versions that are affected are 8.0.19 and prior. Easily exploitable vulnerability allows high privileged attacker with network access via multiple protocols to compromise MySQL Server. Successful attacks of this vulnerability can result in unauthorized read access to a subset of MySQL Server accessible data. CVSS 3.1 Base Score 2.7 (Confidentiality impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:L/I:N/A:N). | |||||
| CVE-2021-2007 | 3 Fedoraproject, Netapp, Oracle | 5 Fedora, Active Iq Unified Manager, Oncommand Insight and 2 more | 2024-11-21 | 4.3 MEDIUM | 3.7 LOW |
| Vulnerability in the MySQL Client product of Oracle MySQL (component: C API). Supported versions that are affected are 5.6.47 and prior, 5.7.29 and prior and 8.0.19 and prior. Difficult to exploit vulnerability allows unauthenticated attacker with network access via multiple protocols to compromise MySQL Client. Successful attacks of this vulnerability can result in unauthorized read access to a subset of MySQL Client accessible data. CVSS 3.1 Base Score 3.7 (Confidentiality impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:N/A:N). | |||||
| CVE-2021-2000 | 1 Oracle | 1 Database Server | 2024-11-21 | 3.5 LOW | 2.4 LOW |
| Vulnerability in the Unified Audit component of Oracle Database Server. Supported versions that are affected are 12.1.0.2, 12.2.0.1, 18c and 19c. Easily exploitable vulnerability allows high privileged attacker having SYS Account privilege with network access via Oracle Net to compromise Unified Audit. Successful attacks require human interaction from a person other than the attacker. Successful attacks of this vulnerability can result in unauthorized update, insert or delete access to some of Unified Audit accessible data. CVSS 3.1 Base Score 2.4 (Integrity impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:H/UI:R/S:U/C:N/I:L/A:N). | |||||
| CVE-2021-29948 | 1 Mozilla | 1 Thunderbird | 2024-11-21 | 1.9 LOW | 2.5 LOW |
| Signatures are written to disk before and read during verification, which might be subject to a race condition when a malicious local process or user is replacing the file. This vulnerability affects Thunderbird < 78.10. | |||||
| CVE-2021-29846 | 1 Ibm | 1 Security Guardium Insights | 2024-11-21 | 4.0 MEDIUM | 2.7 LOW |
| IBM Security Guardium Insights 3.0 could allow an authenticated user to obtain sensitive information due to insufficient session expiration. IBM X-Force ID: 205256. | |||||
| CVE-2021-29759 | 1 Ibm | 1 App Connect Enterprise Certified Container | 2024-11-21 | 2.1 LOW | 2.3 LOW |
| IBM App Connect Enterprise Certified Container 1.0, 1.1, 1.2, and 1.3 could allow a privileged user to obtain sensitive information from internal log files. IBM X-Force ID: 202212. | |||||
| CVE-2021-29671 | 1 Ibm | 1 Spectrum Scale | 2024-11-21 | 1.9 LOW | 3.3 LOW |
| IBM Spectrum Scale 5.1.0.1 could allow a local attacker to bypass the filesystem audit logging mechanism when file audit logging is enabled. IBM X-Force ID: 199478. | |||||
| CVE-2021-29623 | 2 Exiv2, Fedoraproject | 2 Exiv2, Fedora | 2024-11-21 | 4.3 MEDIUM | 3.6 LOW |
| Exiv2 is a C++ library and a command-line utility to read, write, delete and modify Exif, IPTC, XMP and ICC image metadata. A read of uninitialized memory was found in Exiv2 versions v0.27.3 and earlier. Exiv2 is a command-line utility and C++ library for reading, writing, deleting, and modifying the metadata of image files. The read of uninitialized memory is triggered when Exiv2 is used to read the metadata of a crafted image file. An attacker could potentially exploit the vulnerability to leak a few bytes of stack memory, if they can trick the victim into running Exiv2 on a crafted image file. The bug is fixed in version v0.27.4. | |||||
| CVE-2021-29619 | 1 Google | 1 Tensorflow | 2024-11-21 | 2.1 LOW | 2.5 LOW |
| TensorFlow is an end-to-end open source platform for machine learning. Passing invalid arguments (e.g., discovered via fuzzing) to `tf.raw_ops.SparseCountSparseOutput` results in segfault. 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-2021-29618 | 1 Google | 1 Tensorflow | 2024-11-21 | 2.1 LOW | 2.5 LOW |
| TensorFlow is an end-to-end open source platform for machine learning. Passing a complex argument to `tf.transpose` at the same time as passing `conjugate=True` argument results in a crash. 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-2021-29617 | 1 Google | 1 Tensorflow | 2024-11-21 | 2.1 LOW | 2.5 LOW |
| TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a denial of service via `CHECK`-fail in `tf.strings.substr` with invalid arguments. 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-2021-29616 | 1 Google | 1 Tensorflow | 2024-11-21 | 4.6 MEDIUM | 2.5 LOW |
| TensorFlow is an end-to-end open source platform for machine learning. The implementation of TrySimplify(https://github.com/tensorflow/tensorflow/blob/c22d88d6ff33031aa113e48aa3fc9aa74ed79595/tensorflow/core/grappler/optimizers/arithmetic_optimizer.cc#L390-L401) has undefined behavior due to dereferencing a null pointer in corner cases that result in optimizing a node with no inputs. 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-2021-29615 | 1 Google | 1 Tensorflow | 2024-11-21 | 2.1 LOW | 2.5 LOW |
| TensorFlow is an end-to-end open source platform for machine learning. The implementation of `ParseAttrValue`(https://github.com/tensorflow/tensorflow/blob/c22d88d6ff33031aa113e48aa3fc9aa74ed79595/tensorflow/core/framework/attr_value_util.cc#L397-L453) can be tricked into stack overflow due to recursion by giving in a specially crafted input. 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-2021-29612 | 1 Google | 1 Tensorflow | 2024-11-21 | 4.6 MEDIUM | 3.6 LOW |
| TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a heap buffer overflow in Eigen implementation of `tf.raw_ops.BandedTriangularSolve`. The implementation(https://github.com/tensorflow/tensorflow/blob/eccb7ec454e6617738554a255d77f08e60ee0808/tensorflow/core/kernels/linalg/banded_triangular_solve_op.cc#L269-L278) calls `ValidateInputTensors` for input validation but fails to validate that the two tensors are not empty. Furthermore, since `OP_REQUIRES` macro only stops execution of current function after setting `ctx->status()` to a non-OK value, callers of helper functions that use `OP_REQUIRES` must check value of `ctx->status()` before continuing. This doesn't happen in this op's implementation(https://github.com/tensorflow/tensorflow/blob/eccb7ec454e6617738554a255d77f08e60ee0808/tensorflow/core/kernels/linalg/banded_triangular_solve_op.cc#L219), hence the validation that is present is also not effective. 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-2021-29611 | 1 Google | 1 Tensorflow | 2024-11-21 | 2.1 LOW | 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 | 4.6 MEDIUM | 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-2021-29604 | 1 Google | 1 Tensorflow | 2024-11-21 | 2.1 LOW | 2.5 LOW |
| TensorFlow is an end-to-end open source platform for machine learning. The TFLite implementation of hashtable lookup is vulnerable to a division by zero error(https://github.com/tensorflow/tensorflow/blob/1a8e885b864c818198a5b2c0cbbeca5a1e833bc8/tensorflow/lite/kernels/hashtable_lookup.cc#L114-L115) An attacker can craft a model such that `values`'s first dimension would be 0. 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. | |||||