Vulnerabilities (CVE)

CVE Vendors Products Updated CVSS v2 CVSS v3
CVE-2015-5182 1 Redhat 1 Amq 2021-07-26 6.8 MEDIUM 8.8 HIGH
Cross-site request forgery (CSRF) vulnerability in the jolokia API in A-MQ.
CVE-2021-34803 2 Microsoft, Teamviewer 2 Windows, Teamviewer 2021-07-26 4.4 MEDIUM 7.8 HIGH
TeamViewer before 14.7.48644 on Windows loads untrusted DLLs in certain situations.
CVE-2021-29610 1 Google 1 Tensorflow 2021-07-26 4.6 MEDIUM 7.8 HIGH
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-2021-29608 1 Google 1 Tensorflow 2021-07-26 4.6 MEDIUM 7.8 HIGH
TensorFlow is an end-to-end open source platform for machine learning. Due to lack of validation in `tf.raw_ops.RaggedTensorToTensor`, an attacker can exploit an undefined behavior if input arguments are empty. The implementation(https://github.com/tensorflow/tensorflow/blob/656e7673b14acd7835dc778867f84916c6d1cac2/tensorflow/core/kernels/ragged_tensor_to_tensor_op.cc#L356-L360) only checks that one of the tensors is not empty, but does not check for the other ones. There are multiple `DCHECK` validations to prevent heap OOB, but these are no-op in release builds, hence they don't prevent anything. The fix will be included in TensorFlow 2.5.0. We will also cherrypick these commits 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 2021-07-26 4.6 MEDIUM 7.8 HIGH
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-2021-29595 1 Google 1 Tensorflow 2021-07-26 4.6 MEDIUM 7.8 HIGH
TensorFlow is an end-to-end open source platform for machine learning. The implementation of the `DepthToSpace` TFLite operator is vulnerable to a division by zero error(https://github.com/tensorflow/tensorflow/blob/0d45ea1ca641b21b73bcf9c00e0179cda284e7e7/tensorflow/lite/kernels/depth_to_space.cc#L63-L69). An attacker can craft a model such that `params->block_size` is 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.
CVE-2021-29566 1 Google 1 Tensorflow 2021-07-26 4.6 MEDIUM 7.8 HIGH
TensorFlow is an end-to-end open source platform for machine learning. An attacker can write outside the bounds of heap allocated arrays by passing invalid arguments to `tf.raw_ops.Dilation2DBackpropInput`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/afd954e65f15aea4d438d0a219136fc4a63a573d/tensorflow/core/kernels/dilation_ops.cc#L321-L322) does not validate before writing to the output array. The values for `h_out` and `w_out` are guaranteed to be in range for `out_backprop` (as they are loop indices bounded by the size of the array). However, there are no similar guarantees relating `h_in_max`/`w_in_max` and `in_backprop`. 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-2021-29585 1 Google 1 Tensorflow 2021-07-26 4.6 MEDIUM 7.8 HIGH
TensorFlow is an end-to-end open source platform for machine learning. The TFLite computation for size of output after padding, `ComputeOutSize`(https://github.com/tensorflow/tensorflow/blob/0c9692ae7b1671c983569e5d3de5565843d500cf/tensorflow/lite/kernels/padding.h#L43-L55), does not check that the `stride` argument is not 0 before doing the division. Users can craft special models such that `ComputeOutSize` is called with `stride` set to 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.
CVE-2021-29589 1 Google 1 Tensorflow 2021-07-26 4.6 MEDIUM 7.8 HIGH
TensorFlow is an end-to-end open source platform for machine learning. The reference implementation of the `GatherNd` TFLite operator is vulnerable to a division by zero error(https://github.com/tensorflow/tensorflow/blob/0d45ea1ca641b21b73bcf9c00e0179cda284e7e7/tensorflow/lite/kernels/internal/reference/reference_ops.h#L966). An attacker can craft a model such that `params` input would be an empty tensor. In turn, `params_shape.Dims(.)` would be zero, in at least one dimension. 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-2021-29587 1 Google 1 Tensorflow 2021-07-26 4.6 MEDIUM 7.8 HIGH
TensorFlow is an end-to-end open source platform for machine learning. The `Prepare` step of the `SpaceToDepth` TFLite operator does not check for 0 before division(https://github.com/tensorflow/tensorflow/blob/5f7975d09eac0f10ed8a17dbb6f5964977725adc/tensorflow/lite/kernels/space_to_depth.cc#L63-L67). An attacker can craft a model such that `params->block_size` would be zero. 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-2021-29571 1 Google 1 Tensorflow 2021-07-26 4.6 MEDIUM 7.8 HIGH
TensorFlow is an end-to-end open source platform for machine learning. The implementation of `tf.raw_ops.MaxPoolGradWithArgmax` can cause reads outside of bounds of heap allocated data if attacker supplies specially crafted inputs. The implementation(https://github.com/tensorflow/tensorflow/blob/31bd5026304677faa8a0b77602c6154171b9aec1/tensorflow/core/kernels/image/draw_bounding_box_op.cc#L116-L130) assumes that the last element of `boxes` input is 4, as required by [the op](https://www.tensorflow.org/api_docs/python/tf/raw_ops/DrawBoundingBoxesV2). Since this is not checked attackers passing values less than 4 can write outside of bounds of heap allocated objects and cause memory corruption. If the last dimension in `boxes` is less than 4, accesses similar to `tboxes(b, bb, 3)` will access data outside of bounds. Further during code execution there are also writes to these indices. 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-2021-29568 1 Google 1 Tensorflow 2021-07-26 4.6 MEDIUM 7.8 HIGH
TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger undefined behavior by binding to null pointer in `tf.raw_ops.ParameterizedTruncatedNormal`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/3f6fe4dfef6f57e768260b48166c27d148f3015f/tensorflow/core/kernels/parameterized_truncated_normal_op.cc#L630) does not validate input arguments before accessing the first element of `shape`. If `shape` argument is empty, then `shape_tensor.flat<T>()` is an empty array. 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-2021-29558 1 Google 1 Tensorflow 2021-07-26 4.6 MEDIUM 7.8 HIGH
TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a heap buffer overflow in `tf.raw_ops.SparseSplit`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/699bff5d961f0abfde8fa3f876e6d241681fbef8/tensorflow/core/util/sparse/sparse_tensor.h#L528-L530) accesses an array element based on a user controlled offset. 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-2021-29546 1 Google 1 Tensorflow 2021-07-26 4.6 MEDIUM 7.8 HIGH
TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger an integer division by zero undefined behavior in `tf.raw_ops.QuantizedBiasAdd`. This is because the implementation of the Eigen kernel(https://github.com/tensorflow/tensorflow/blob/61bca8bd5ba8a68b2d97435ddfafcdf2b85672cd/tensorflow/core/kernels/quantization_utils.h#L812-L849) does a division by the number of elements of the smaller input (based on shape) without checking that this is not zero. 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-2021-29540 1 Google 1 Tensorflow 2021-07-26 4.6 MEDIUM 7.8 HIGH
TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a heap buffer overflow to occur in `Conv2DBackpropFilter`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/1b0296c3b8dd9bd948f924aa8cd62f87dbb7c3da/tensorflow/core/kernels/conv_grad_filter_ops.cc#L495-L497) computes the size of the filter tensor but does not validate that it matches the number of elements in `filter_sizes`. Later, when reading/writing to this buffer, code uses the value computed here, instead of the number of elements in the tensor. 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-2021-29537 1 Google 1 Tensorflow 2021-07-26 4.6 MEDIUM 7.8 HIGH
TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a heap buffer overflow in `QuantizedResizeBilinear` by passing in invalid thresholds for the quantization. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/50711818d2e61ccce012591eeb4fdf93a8496726/tensorflow/core/kernels/quantized_resize_bilinear_op.cc#L705-L706) assumes that the 2 arguments are always valid scalars and tries to access the numeric value directly. 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-2021-29536 1 Google 1 Tensorflow 2021-07-26 4.6 MEDIUM 7.8 HIGH
TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a heap buffer overflow in `QuantizedReshape` by passing in invalid thresholds for the quantization. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/a324ac84e573fba362a5e53d4e74d5de6729933e/tensorflow/core/kernels/quantized_reshape_op.cc#L38-L55) assumes that the 2 arguments are always valid scalars and tries to access the numeric value directly. However, if any of these tensors is empty, then `.flat<T>()` is an empty buffer and accessing the element at position 0 results in overflow. 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-2021-29535 1 Google 1 Tensorflow 2021-07-26 4.6 MEDIUM 7.8 HIGH
TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a heap buffer overflow in `QuantizedMul` by passing in invalid thresholds for the quantization. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/87cf4d3ea9949051e50ca3f071fc909538a51cd0/tensorflow/core/kernels/quantized_mul_op.cc#L287-L290) assumes that the 4 arguments are always valid scalars and tries to access the numeric value directly. However, if any of these tensors is empty, then `.flat<T>()` is an empty buffer and accessing the element at position 0 results in overflow. 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-2021-29513 1 Google 1 Tensorflow 2021-07-26 4.6 MEDIUM 7.8 HIGH
TensorFlow is an end-to-end open source platform for machine learning. Calling TF operations with tensors of non-numeric types when the operations expect numeric tensors result in null pointer dereferences. The conversion from Python array to C++ array(https://github.com/tensorflow/tensorflow/blob/ff70c47a396ef1e3cb73c90513da4f5cb71bebba/tensorflow/python/lib/core/ndarray_tensor.cc#L113-L169) is vulnerable to a type confusion. 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-2021-29532 1 Google 1 Tensorflow 2021-07-26 3.6 LOW 7.1 HIGH
TensorFlow is an end-to-end open source platform for machine learning. An attacker can force accesses outside the bounds of heap allocated arrays by passing in invalid tensor values to `tf.raw_ops.RaggedCross`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/efea03b38fb8d3b81762237dc85e579cc5fc6e87/tensorflow/core/kernels/ragged_cross_op.cc#L456-L487) lacks validation for the user supplied arguments. Each of the above branches call a helper function after accessing array elements via a `*_list[next_*]` pattern, followed by incrementing the `next_*` index. However, as there is no validation that the `next_*` values are in the valid range for the corresponding `*_list` arrays, this results in heap OOB reads. 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-2021-29514 1 Google 1 Tensorflow 2021-07-26 4.6 MEDIUM 7.8 HIGH
TensorFlow is an end-to-end open source platform for machine learning. If the `splits` argument of `RaggedBincount` does not specify a valid `SparseTensor`(https://www.tensorflow.org/api_docs/python/tf/sparse/SparseTensor), then an attacker can trigger a heap buffer overflow. This will cause a read from outside the bounds of the `splits` tensor buffer in the implementation of the `RaggedBincount` op(https://github.com/tensorflow/tensorflow/blob/8b677d79167799f71c42fd3fa074476e0295413a/tensorflow/core/kernels/bincount_op.cc#L430-L446). Before the `for` loop, `batch_idx` is set to 0. The attacker sets `splits(0)` to be 7, hence the `while` loop does not execute and `batch_idx` remains 0. This then results in writing to `out(-1, bin)`, which is before the heap allocated buffer for the output 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 also affected.
CVE-2021-2391 1 Oracle 1 Bi Publisher 2021-07-26 9.0 HIGH 8.8 HIGH
Vulnerability in the Oracle BI Publisher product of Oracle Fusion Middleware (component: Scheduler). Supported versions that are affected are 5.5.0.0.0, 11.1.1.9.0, 12.2.1.3.0 and 12.2.1.4.0. Easily exploitable vulnerability allows low privileged attacker with network access via HTTP to compromise Oracle BI Publisher. Successful attacks of this vulnerability can result in takeover of Oracle BI Publisher. CVSS 3.1 Base Score 8.8 (Confidentiality, Integrity and Availability impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H).
CVE-2021-2392 1 Oracle 1 Bi Publisher 2021-07-26 9.0 HIGH 8.8 HIGH
Vulnerability in the Oracle BI Publisher product of Oracle Fusion Middleware (component: BI Publisher Security). Supported versions that are affected are 5.5.0.0.0, 11.1.1.9.0, 12.2.1.3.0 and 12.2.1.4.0. Easily exploitable vulnerability allows low privileged attacker with network access via HTTP to compromise Oracle BI Publisher. Successful attacks of this vulnerability can result in takeover of Oracle BI Publisher. CVSS 3.1 Base Score 8.8 (Confidentiality, Integrity and Availability impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H).
CVE-2021-2393 1 Oracle 1 E-records 2021-07-26 8.5 HIGH 8.1 HIGH
Vulnerability in the Oracle E-Records product of Oracle E-Business Suite (component: E-signatures). Supported versions that are affected are 12.1.1-12.1.3 and 12.2.3-12.2.10. Easily exploitable vulnerability allows low privileged attacker with network access via HTTP to compromise Oracle E-Records. Successful attacks of this vulnerability can result in unauthorized creation, deletion or modification access to critical data or all Oracle E-Records accessible data as well as unauthorized access to critical data or complete access to all Oracle E-Records accessible data. CVSS 3.1 Base Score 8.1 (Confidentiality and Integrity impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:N).
CVE-2021-2395 1 Oracle 1 Hospitality Reporting And Analytics 2021-07-26 8.5 HIGH 8.1 HIGH
Vulnerability in the Oracle Hospitality Reporting and Analytics product of Oracle Food and Beverage Applications (component: iCare, Configuration). The supported version that is affected is 9.1.0. Easily exploitable vulnerability allows low privileged attacker with network access via HTTP to compromise Oracle Hospitality Reporting and Analytics. Successful attacks of this vulnerability can result in unauthorized creation, deletion or modification access to critical data or all Oracle Hospitality Reporting and Analytics accessible data as well as unauthorized access to critical data or complete access to all Oracle Hospitality Reporting and Analytics accessible data. CVSS 3.1 Base Score 8.1 (Confidentiality and Integrity impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:N).
CVE-2021-22780 1 Schneider-electric 3 Ecostruxure Control Expert, Ecostruxure Process Expert, Remoteconnect 2021-07-26 3.6 LOW 7.1 HIGH
Insufficiently Protected Credentials vulnerability exists in EcoStruxure Control Expert (all versions prior to V15.0 SP1, including all versions of Unity Pro), EcoStruxure Process Expert (all versions, including all versions of EcoStruxure Hybrid DCS), and SCADAPack RemoteConnect for x70, all versions, that could cause unauthorized access to a project file protected by a password when this file is shared with untrusted sources. An attacker may bypass the password protection and be able to view and modify a project file.
CVE-2021-22778 1 Schneider-electric 3 Ecostruxure Control Expert, Ecostruxure Process Expert, Remoteconnect 2021-07-26 3.6 LOW 7.1 HIGH
Insufficiently Protected Credentials vulnerability exists in EcoStruxure Control Expert (all versions prior to V15.0 SP1, including all versions of Unity Pro), EcoStruxure Process Expert (all versions, including all versions of EcoStruxure Hybrid DCS), and SCADAPack RemoteConnect for x70, all versions, that could cause protected derived function blocks to be read or modified by unauthorized users when accessing a project file.
CVE-2020-15496 1 Acronis 1 True Image 2021-07-26 4.6 MEDIUM 7.8 HIGH
Acronis True Image for Mac before 2021 Update 4 allowed local privilege escalation due to insecure folder permissions.
CVE-2020-24489 2 Debian, Intel 214 Debian Linux, Atom X5-e3930, Atom X5-e3940 and 211 more 2021-07-26 4.6 MEDIUM 8.8 HIGH
Incomplete cleanup in some Intel(R) VT-d products may allow an authenticated user to potentially enable escalation of privilege via local access.
CVE-2021-28906 1 Cesnet 1 Libyang 2021-07-24 5.0 MEDIUM 7.5 HIGH
In function read_yin_leaf() in libyang <= v1.0.225, it doesn't check whether the value of retval->ext[r] is NULL. In some cases, it can be NULL, which leads to the operation of retval->ext[r]->flags that results in a crash.
CVE-2021-28905 1 Cesnet 1 Libyang 2021-07-24 5.0 MEDIUM 7.5 HIGH
In function lys_node_free() in libyang <= v1.0.225, it asserts that the value of node->module can't be NULL. But in some cases, node->module can be null, which triggers a reachable assertion (CWE-617).
CVE-2021-28904 1 Cesnet 1 Libyang 2021-07-24 5.0 MEDIUM 7.5 HIGH
In function ext_get_plugin() in libyang <= v1.0.225, it doesn't check whether the value of revision is NULL. If revision is NULL, the operation of strcmp(revision, ext_plugins[u].revision) will lead to a crash.
CVE-2021-28903 1 Cesnet 1 Libyang 2021-07-24 5.0 MEDIUM 7.5 HIGH
A stack overflow in libyang <= v1.0.225 can cause a denial of service through function lyxml_parse_mem(). lyxml_parse_elem() function will be called recursively, which will consume stack space and lead to crash.
CVE-2021-28902 1 Cesnet 1 Libyang 2021-07-24 5.0 MEDIUM 7.5 HIGH
In function read_yin_container() in libyang <= v1.0.225, it doesn't check whether the value of retval->ext[r] is NULL. In some cases, it can be NULL, which leads to the operation of retval->ext[r]->flags that results in a crash.
CVE-2020-14409 3 Debian, Fedoraproject, Libsdl 3 Debian Linux, Fedora, Simple Directmedia Layer 2021-07-24 6.8 MEDIUM 7.8 HIGH
SDL (Simple DirectMedia Layer) through 2.0.12 has an Integer Overflow (and resultant SDL_memcpy heap corruption) in SDL_BlitCopy in video/SDL_blit_copy.c via a crafted .BMP file.
CVE-2021-2359 1 Oracle 1 Marketing 2021-07-23 5.8 MEDIUM 8.2 HIGH
Vulnerability in the Oracle Marketing product of Oracle E-Business Suite (component: Marketing Administration). Supported versions that are affected are 12.1.1-12.1.3 and 12.2.3-12.2.10. Easily exploitable vulnerability allows unauthenticated attacker with network access via HTTP to compromise Oracle Marketing. Successful attacks require human interaction from a person other than the attacker and while the vulnerability is in Oracle Marketing, attacks may significantly impact additional products. Successful attacks of this vulnerability can result in unauthorized access to critical data or complete access to all Oracle Marketing accessible data as well as unauthorized update, insert or delete access to some of Oracle Marketing accessible data. CVSS 3.1 Base Score 8.2 (Confidentiality and Integrity impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:L/A:N).
CVE-2021-2360 1 Oracle 1 Approvals Management 2021-07-23 5.5 MEDIUM 8.1 HIGH
Vulnerability in the Oracle Approvals Management product of Oracle E-Business Suite (component: AME Page rendering). Supported versions that are affected are 12.1.1-12.1.3. Easily exploitable vulnerability allows low privileged attacker with network access via HTTP to compromise Oracle Approvals Management. Successful attacks of this vulnerability can result in unauthorized creation, deletion or modification access to critical data or all Oracle Approvals Management accessible data as well as unauthorized access to critical data or complete access to all Oracle Approvals Management accessible data. CVSS 3.1 Base Score 8.1 (Confidentiality and Integrity impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:N).
CVE-2021-2361 1 Oracle 1 Advanced Inbound Telephony 2021-07-23 5.5 MEDIUM 8.1 HIGH
Vulnerability in the Oracle Advanced Inbound Telephony product of Oracle E-Business Suite (component: SDK client integration). Supported versions that are affected are 12.1.1-12.1.3 and 12.2.3-12.2.10. Easily exploitable vulnerability allows low privileged attacker with network access via HTTP to compromise Oracle Advanced Inbound Telephony. Successful attacks of this vulnerability can result in unauthorized creation, deletion or modification access to critical data or all Oracle Advanced Inbound Telephony accessible data as well as unauthorized access to critical data or complete access to all Oracle Advanced Inbound Telephony accessible data. CVSS 3.1 Base Score 8.1 (Confidentiality and Integrity impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:N).
CVE-2021-2363 1 Oracle 1 Public Sector Financials 2021-07-23 5.5 MEDIUM 8.1 HIGH
Vulnerability in the Oracle Public Sector Financials (International) product of Oracle E-Business Suite (component: Authorization). Supported versions that are affected are 12.1.1-12.1.3. Easily exploitable vulnerability allows low privileged attacker with network access via HTTP to compromise Oracle Public Sector Financials (International). Successful attacks of this vulnerability can result in unauthorized creation, deletion or modification access to critical data or all Oracle Public Sector Financials (International) accessible data as well as unauthorized access to critical data or complete access to all Oracle Public Sector Financials (International) accessible data. CVSS 3.1 Base Score 8.1 (Confidentiality and Integrity impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:N).
CVE-2021-2362 1 Oracle 1 Field Service 2021-07-23 5.5 MEDIUM 8.1 HIGH
Vulnerability in the Oracle Field Service product of Oracle E-Business Suite (component: Wireless). Supported versions that are affected are 12.1.1-12.1.3. Easily exploitable vulnerability allows low privileged attacker with network access via HTTP to compromise Oracle Field Service. Successful attacks of this vulnerability can result in unauthorized creation, deletion or modification access to critical data or all Oracle Field Service accessible data as well as unauthorized access to critical data or complete access to all Oracle Field Service accessible data. CVSS 3.1 Base Score 8.1 (Confidentiality and Integrity impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:N).
CVE-2021-2376 1 Oracle 1 Weblogic Server 2021-07-23 5.0 MEDIUM 7.5 HIGH
Vulnerability in the Oracle WebLogic Server product of Oracle Fusion Middleware (component: Web Services). Supported versions that are affected are 10.3.6.0.0, 12.1.3.0.0, 12.2.1.3.0, 12.2.1.4.0 and 14.1.1.0.0. Easily exploitable vulnerability allows unauthenticated attacker with network access via T3, IIOP to compromise Oracle WebLogic Server. Successful attacks of this vulnerability can result in unauthorized ability to cause a hang or frequently repeatable crash (complete DOS) of Oracle WebLogic Server. CVSS 3.1 Base Score 7.5 (Availability impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H).
CVE-2021-2378 1 Oracle 1 Weblogic Server 2021-07-23 5.0 MEDIUM 7.5 HIGH
Vulnerability in the Oracle WebLogic Server product of Oracle Fusion Middleware (component: Core). Supported versions that are affected are 10.3.6.0.0, 12.1.3.0.0, 12.2.1.3.0, 12.2.1.4.0 and 14.1.1.0.0. Easily exploitable vulnerability allows unauthenticated attacker with network access via T3, IIOP to compromise Oracle WebLogic Server. Successful attacks of this vulnerability can result in unauthorized ability to cause a hang or frequently repeatable crash (complete DOS) of Oracle WebLogic Server. CVSS 3.1 Base Score 7.5 (Availability impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H).
CVE-2021-2380 1 Oracle 1 Applications Framework 2021-07-23 4.9 MEDIUM 7.6 HIGH
Vulnerability in the Oracle Applications Framework product of Oracle E-Business Suite (component: Attachments / File Upload). Supported versions that are affected are 12.1.3 and 12.2.3-12.2.10. Easily exploitable vulnerability allows low privileged attacker with network access via HTTP to compromise Oracle Applications Framework. Successful attacks require human interaction from a person other than the attacker and while the vulnerability is in Oracle Applications Framework, attacks may significantly impact additional products. Successful attacks of this vulnerability can result in unauthorized access to critical data or complete access to all Oracle Applications Framework accessible data as well as unauthorized update, insert or delete access to some of Oracle Applications Framework accessible data. CVSS 3.1 Base Score 7.6 (Confidentiality and Integrity impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:C/C:H/I:L/A:N).
CVE-2021-32461 2 Microsoft, Trendmicro 2 Windows, Password Manager 2021-07-23 7.2 HIGH 7.8 HIGH
Trend Micro Password Manager (Consumer) version 5.0.0.1217 and below is vulnerable to an Integer Truncation Privilege Escalation vulnerability which could allow a local attacker to trigger a buffer overflow and escalate privileges on affected installations. An attacker must first obtain the ability to execute low-privileged code on the target system in order to exploit this vulnerability.
CVE-2021-32462 2 Microsoft, Trendmicro 2 Windows, Password Manager 2021-07-23 9.0 HIGH 8.8 HIGH
Trend Micro Password Manager (Consumer) version 5.0.0.1217 and below is vulnerable to an Exposed Hazardous Function Remote Code Execution vulnerability which could allow an unprivileged client to manipulate the registry and escalate privileges to SYSTEM on affected installations. Authentication is required to exploit this vulnerability.
CVE-2020-26989 1 Siemens 3 Jt2go, Solid Edge, Teamcenter Visualization 2021-07-23 6.8 MEDIUM 7.8 HIGH
A vulnerability has been identified in JT2Go (All versions < V13.1.0.1), Solid Edge SE2020 (All Versions < SE2020MP12), Solid Edge SE2021 (All Versions < SE2021MP2), Teamcenter Visualization (All versions < V13.1.0.1). Affected applications lack proper validation of user-supplied data when parsing of PAR files. This could result in a stack based buffer overflow. An attacker could leverage this vulnerability to execute code in the context of the current process. (ZDI-CAN-11892)
CVE-2021-1051 2 Microsoft, Nvidia 2 Windows, Gpu Driver 2021-07-23 6.6 MEDIUM 8.4 HIGH
NVIDIA GPU Display Driver for Windows contains a vulnerability in the kernel mode layer (nvlddmkm.sys) handler for DxgkDdiEscape in which a local user can get elevated privileges to modify display configuration data, which may result in denial of service of the display.
CVE-2021-34292 1 Siemens 2 Jt2go, Teamcenter Visualization 2021-07-23 6.8 MEDIUM 7.8 HIGH
A vulnerability has been identified in JT2Go (All versions < V13.2), Teamcenter Visualization (All versions < V13.2). The Tiff_loader.dll library in affected applications lacks proper validation of user-supplied data when parsing TIFF files. This could result in an out of bounds read past the end of an allocated buffer. An attacker could leverage this vulnerability to execute code in the context of the current process. (ZDI-CAN-12959)
CVE-2021-2371 1 Oracle 1 Coherence 2021-07-23 5.0 MEDIUM 7.5 HIGH
Vulnerability in the Oracle Coherence product of Oracle Fusion Middleware (component: Core). Supported versions that are affected are 3.7.1.0, 12.1.3.0.0, 12.2.1.3.0, 12.2.1.4.0 and 14.1.1.0.0. Easily exploitable vulnerability allows unauthenticated attacker with network access via T3, IIOP to compromise Oracle Coherence. Successful attacks of this vulnerability can result in unauthorized ability to cause a hang or frequently repeatable crash (complete DOS) of Oracle Coherence. CVSS 3.1 Base Score 7.5 (Availability impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H).
CVE-2021-2428 1 Oracle 1 Coherence 2021-07-23 6.8 MEDIUM 8.1 HIGH
Vulnerability in the Oracle Coherence product of Oracle Fusion Middleware (component: Core). Supported versions that are affected are 12.1.3.0.0, 12.2.1.3.0, 12.2.1.4.0 and 14.1.1.0.0. Difficult to exploit vulnerability allows unauthenticated attacker with network access via T3, IIOP to compromise Oracle Coherence. Successful attacks of this vulnerability can result in takeover of Oracle Coherence. CVSS 3.1 Base Score 8.1 (Confidentiality, Integrity and Availability impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:H).