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2922 CVE
| CVE | Vendors | Products | Updated | CVSS v2 | CVSS v3 |
|---|---|---|---|---|---|
| CVE-2021-0521 | 1 Google | 1 Android | 2021-06-23 | 2.1 LOW | 5.5 MEDIUM |
| In getAllPackages of PackageManagerService, there is a possible information disclosure due to a missing permission check. This could lead to local information disclosure of cross-user permissions with no additional execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android-11 Android-8.1 Android-9 Android-10Android ID: A-174661955 | |||||
| CVE-2021-0504 | 1 Google | 1 Android | 2021-06-22 | 3.3 LOW | 6.5 MEDIUM |
| In avrc_pars_browse_rsp of avrc_pars_ct.cc, there is a possible out of bounds read due to a missing bounds check. This could lead to remote information disclosure over Bluetooth with no additional execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android-11Android ID: A-179162665 | |||||
| CVE-2021-0467 | 1 Google | 1 Android | 2021-06-22 | 4.6 MEDIUM | 6.8 MEDIUM |
| In Chromecast bootROM, there is a possible out of bounds write due to an incorrect bounds check. This could lead to local escalation of privilege in the bootloader, with physical USB access, with no additional execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android SoCAndroid ID: A-174490700 | |||||
| CVE-2019-2219 | 1 Google | 1 Android | 2021-06-21 | 4.7 MEDIUM | 4.7 MEDIUM |
| In several functions of NotificationManagerService.java and related files, there is a possible way to record audio from the background without notification to the user due to a permission bypass. This could lead to local escalation of privilege with User execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android-11Android ID: A-119041698 | |||||
| CVE-2021-25389 | 1 Google | 1 Android | 2021-06-17 | 3.6 LOW | 6.1 MEDIUM |
| Improper running task check in S Secure prior to SMR MAY-2021 Release 1 allows attackers to use locked app without authentication. | |||||
| CVE-2021-25416 | 2 Google, Samsung | 5 Android, Exynos 9610, Exynos 9810 and 2 more | 2021-06-16 | 2.1 LOW | 6.5 MEDIUM |
| Assuming EL1 is compromised, an improper address validation in RKP prior to SMR JUN-2021 Release 1 allows local attackers to create executable kernel page outside code area. | |||||
| CVE-2021-25392 | 1 Google | 1 Android | 2021-06-16 | 2.1 LOW | 5.5 MEDIUM |
| Improper protection of backup path configuration in Samsung Dex prior to SMR MAY-2021 Release 1 allows local attackers to get sensitive information via changing the path. | |||||
| CVE-2021-25391 | 1 Google | 1 Android | 2021-06-16 | 2.1 LOW | 4.0 MEDIUM |
| Intent redirection vulnerability in Secure Folder prior to SMR MAY-2021 Release 1 allows attackers to execute privileged action. | |||||
| CVE-2021-25390 | 1 Google | 1 Android | 2021-06-16 | 1.9 LOW | 4.0 MEDIUM |
| Intent redirection vulnerability in PhotoTable prior to SMR MAY-2021 Release 1 allows attackers to execute privileged action. | |||||
| CVE-2021-25395 | 1 Google | 1 Android | 2021-06-16 | 4.4 MEDIUM | 6.4 MEDIUM |
| A race condition in MFC charger driver prior to SMR MAY-2021 Release 1 allows local attackers to bypass signature check given a radio privilege is compromised. | |||||
| CVE-2021-25394 | 1 Google | 1 Android | 2021-06-16 | 4.4 MEDIUM | 6.4 MEDIUM |
| A use after free vulnerability via race condition in MFC charger driver prior to SMR MAY-2021 Release 1 allows arbitrary write given a radio privilege is compromised. | |||||
| CVE-2021-25393 | 1 Google | 1 Android | 2021-06-16 | 2.1 LOW | 5.5 MEDIUM |
| Improper sanitization of incoming intent in SecSettings prior to SMR MAY-2021 Release 1 allows local attackers to get permissions to access system uid data. | |||||
| CVE-2021-25415 | 2 Google, Samsung | 5 Android, Exynos 9610, Exynos 9810 and 2 more | 2021-06-16 | 2.1 LOW | 5.5 MEDIUM |
| Assuming EL1 is compromised, an improper address validation in RKP prior to SMR JUN-2021 Release 1 allows local attackers to remap EL2 memory as writable. | |||||
| CVE-2021-25396 | 2 Google, Samsung | 5 Android, Exynos 2100, Exynos 980 and 2 more | 2021-06-16 | 4.6 MEDIUM | 6.7 MEDIUM |
| An improper input validation vulnerability in NPU firmware prior to SMR MAY-2021 Release 1 allows arbitrary memory write and code execution. | |||||
| CVE-2021-25397 | 1 Google | 1 Android | 2021-06-16 | 2.1 LOW | 5.5 MEDIUM |
| An improper access control vulnerability in TelephonyUI prior to SMR MAY-2021 Release 1 allows local attackers to write arbitrary files of telephony process via untrusted applications. | |||||
| CVE-2021-0484 | 1 Google | 1 Android | 2021-06-15 | 2.1 LOW | 5.5 MEDIUM |
| In readVector of IMediaPlayer.cpp, there is a possible read of uninitialized heap data due to a missing bounds check. This could lead to local information disclosure with no additional execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android-9 Android-10 Android-11 Android-8.1Android ID: A-173720767 | |||||
| CVE-2019-9475 | 1 Google | 1 Android | 2021-06-15 | 2.1 LOW | 5.5 MEDIUM |
| In /proc/net of the kernel filesystem, there is a possible information leak due to a permissions bypass. This could lead to local information disclosure with no additional execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android-10Android ID: A-9496886 | |||||
| CVE-2020-0055 | 1 Google | 1 Android | 2021-06-08 | 2.1 LOW | 5.5 MEDIUM |
| In l2c_link_process_num_completed_pkts of l2c_link.cc, there is a possible out of bounds read due to a missing bounds check. This could lead to local information disclosure with no additional execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android-10Android ID: A-141617601 | |||||
| CVE-2021-21208 | 3 Debian, Fedoraproject, Google | 3 Debian Linux, Fedora, Chrome | 2021-06-03 | 4.3 MEDIUM | 6.5 MEDIUM |
| Insufficient data validation in QR scanner in Google Chrome on iOS prior to 90.0.4430.72 allowed an attacker displaying a QR code to perform domain spoofing via a crafted QR code. | |||||
| CVE-2021-21212 | 3 Debian, Fedoraproject, Google | 3 Debian Linux, Fedora, Chrome | 2021-06-01 | 4.3 MEDIUM | 6.5 MEDIUM |
| Incorrect security UI in Network Config UI in Google Chrome on ChromeOS prior to 90.0.4430.72 allowed a remote attacker to potentially compromise WiFi connection security via a malicious WAP. | |||||
| CVE-2021-21209 | 3 Debian, Fedoraproject, Google | 3 Debian Linux, Fedora, Chrome | 2021-06-01 | 4.3 MEDIUM | 6.5 MEDIUM |
| Inappropriate implementation in storage in Google Chrome prior to 90.0.4430.72 allowed a remote attacker to leak cross-origin data via a crafted HTML page. | |||||
| CVE-2021-21211 | 3 Debian, Fedoraproject, Google | 3 Debian Linux, Fedora, Chrome | 2021-06-01 | 4.3 MEDIUM | 6.5 MEDIUM |
| Inappropriate implementation in Navigation in Google Chrome on iOS prior to 90.0.4430.72 allowed a remote attacker to leak cross-origin data via a crafted HTML page. | |||||
| CVE-2021-21215 | 3 Debian, Fedoraproject, Google | 3 Debian Linux, Fedora, Chrome | 2021-06-01 | 4.3 MEDIUM | 6.5 MEDIUM |
| Inappropriate implementation in Autofill in Google Chrome prior to 90.0.4430.72 allowed a remote attacker to spoof security UI via a crafted HTML page. | |||||
| CVE-2021-21222 | 3 Debian, Fedoraproject, Google | 3 Debian Linux, Fedora, Chrome | 2021-06-01 | 4.3 MEDIUM | 6.5 MEDIUM |
| Heap buffer overflow in V8 in Google Chrome prior to 90.0.4430.85 allowed a remote attacker who had compromised the renderer process to bypass site isolation via a crafted HTML page. | |||||
| CVE-2021-21221 | 3 Debian, Fedoraproject, Google | 3 Debian Linux, Fedora, Chrome | 2021-06-01 | 4.3 MEDIUM | 6.5 MEDIUM |
| Insufficient validation of untrusted input in Mojo in Google Chrome prior to 90.0.4430.72 allowed a remote attacker who had compromised the renderer process to leak cross-origin data via a crafted HTML page. | |||||
| CVE-2021-21218 | 3 Debian, Fedoraproject, Google | 3 Debian Linux, Fedora, Chrome | 2021-06-01 | 4.3 MEDIUM | 5.5 MEDIUM |
| Uninitialized data in PDFium in Google Chrome prior to 90.0.4430.72 allowed a remote attacker to obtain potentially sensitive information from process memory via a crafted PDF file. | |||||
| CVE-2021-21216 | 3 Debian, Fedoraproject, Google | 3 Debian Linux, Fedora, Chrome | 2021-06-01 | 4.3 MEDIUM | 6.5 MEDIUM |
| Inappropriate implementation in Autofill in Google Chrome prior to 90.0.4430.72 allowed a remote attacker to spoof security UI via a crafted HTML page. | |||||
| CVE-2021-21228 | 3 Debian, Fedoraproject, Google | 3 Debian Linux, Fedora, Chrome | 2021-06-01 | 4.3 MEDIUM | 4.3 MEDIUM |
| Insufficient policy enforcement in extensions in Google Chrome prior to 90.0.4430.93 allowed an attacker who convinced a user to install a malicious extension to bypass navigation restrictions via a crafted Chrome Extension. | |||||
| CVE-2021-21229 | 3 Debian, Fedoraproject, Google | 4 Debian Linux, Fedora, Android and 1 more | 2021-06-01 | 4.3 MEDIUM | 6.5 MEDIUM |
| Incorrect security UI in downloads in Google Chrome on Android prior to 90.0.4430.93 allowed a remote attacker to perform domain spoofing via a crafted HTML page. | |||||
| CVE-2021-29519 | 1 Google | 1 Tensorflow | 2021-05-20 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an end-to-end open source platform for machine learning. The API of `tf.raw_ops.SparseCross` allows combinations which would result in a `CHECK`-failure and denial of service. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/3d782b7d47b1bf2ed32bd4a246d6d6cadc4c903d/tensorflow/core/kernels/sparse_cross_op.cc#L114-L116) is tricked to consider a tensor of type `tstring` which in fact contains integral elements. Fixing the type confusion by preventing mixing `DT_STRING` and `DT_INT64` types solves this issue. 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-2021-29521 | 1 Google | 1 Tensorflow | 2021-05-20 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an end-to-end open source platform for machine learning. Specifying a negative dense shape in `tf.raw_ops.SparseCountSparseOutput` results in a segmentation fault being thrown out from the standard library as `std::vector` invariants are broken. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/8f7b60ee8c0206a2c99802e3a4d1bb55d2bc0624/tensorflow/core/kernels/count_ops.cc#L199-L213) assumes the first element of the dense shape is always positive and uses it to initialize a `BatchedMap<T>` (i.e., `std::vector<absl::flat_hash_map<int64,T>>`(https://github.com/tensorflow/tensorflow/blob/8f7b60ee8c0206a2c99802e3a4d1bb55d2bc0624/tensorflow/core/kernels/count_ops.cc#L27)) data structure. If the `shape` tensor has more than one element, `num_batches` is the first value in `shape`. Ensuring that the `dense_shape` argument is a valid tensor shape (that is, all elements are non-negative) solves this issue. 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. | |||||
| CVE-2021-29522 | 1 Google | 1 Tensorflow | 2021-05-20 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an end-to-end open source platform for machine learning. The `tf.raw_ops.Conv3DBackprop*` operations fail to validate that the input tensors are not empty. In turn, this would result in a division by 0. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/a91bb59769f19146d5a0c20060244378e878f140/tensorflow/core/kernels/conv_grad_ops_3d.cc#L430-L450) does not check that the divisor used in computing the shard size is not zero. Thus, if attacker controls the input sizes, they can trigger a denial of service via a division by zero error. 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-2021-29523 | 1 Google | 1 Tensorflow | 2021-05-20 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a denial of service via a `CHECK`-fail in `tf.raw_ops.AddManySparseToTensorsMap`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/6f9896890c4c703ae0a0845394086e2e1e523299/tensorflow/core/kernels/sparse_tensors_map_ops.cc#L257) takes the values specified in `sparse_shape` as dimensions for the output shape. The `TensorShape` constructor(https://github.com/tensorflow/tensorflow/blob/6f9896890c4c703ae0a0845394086e2e1e523299/tensorflow/core/framework/tensor_shape.cc#L183-L188) uses a `CHECK` operation which triggers when `InitDims`(https://github.com/tensorflow/tensorflow/blob/6f9896890c4c703ae0a0845394086e2e1e523299/tensorflow/core/framework/tensor_shape.cc#L212-L296) returns a non-OK status. This is a legacy implementation of the constructor and operations should use `BuildTensorShapeBase` or `AddDimWithStatus` to prevent `CHECK`-failures in the presence of overflows. 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-2021-29565 | 1 Google | 1 Tensorflow | 2021-05-20 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a null pointer dereference in the implementation of `tf.raw_ops.SparseFillEmptyRows`. This is because of missing validation(https://github.com/tensorflow/tensorflow/blob/fdc82089d206e281c628a93771336bf87863d5e8/tensorflow/core/kernels/sparse_fill_empty_rows_op.cc#L230-L231) that was covered under a `TODO`. If the `dense_shape` tensor is empty, then `dense_shape_t.vec<>()` would cause a null pointer dereference in the implementation of the op. 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-2021-29564 | 1 Google | 1 Tensorflow | 2021-05-20 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a null pointer dereference in the implementation of `tf.raw_ops.EditDistance`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/79865b542f9ffdc9caeb255631f7c56f1d4b6517/tensorflow/core/kernels/edit_distance_op.cc#L103-L159) has incomplete validation of the input parameters. 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-2021-29517 | 1 Google | 1 Tensorflow | 2021-05-20 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an end-to-end open source platform for machine learning. A malicious user could trigger a division by 0 in `Conv3D` implementation. The implementation(https://github.com/tensorflow/tensorflow/blob/42033603003965bffac51ae171b51801565e002d/tensorflow/core/kernels/conv_ops_3d.cc#L143-L145) does a modulo operation based on user controlled input. Thus, when `filter` has a 0 as the fifth element, this results in a division by 0. Additionally, if the shape of the two tensors is not valid, an Eigen assertion can be triggered, resulting in a program 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-2021-29524 | 1 Google | 1 Tensorflow | 2021-05-20 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a division by 0 in `tf.raw_ops.Conv2DBackpropFilter`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/496c2630e51c1a478f095b084329acedb253db6b/tensorflow/core/kernels/conv_grad_shape_utils.cc#L130) does a modulus operation where the divisor is controlled by the caller. 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-2021-29541 | 1 Google | 1 Tensorflow | 2021-05-20 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a dereference of a null pointer in `tf.raw_ops.StringNGrams`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/1cdd4da14282210cc759e468d9781741ac7d01bf/tensorflow/core/kernels/string_ngrams_op.cc#L67-L74) does not fully validate the `data_splits` argument. This would result in `ngrams_data`(https://github.com/tensorflow/tensorflow/blob/1cdd4da14282210cc759e468d9781741ac7d01bf/tensorflow/core/kernels/string_ngrams_op.cc#L106-L110) to be a null pointer when the output would be computed to have 0 or negative size. Later writes to the output tensor would then cause a null pointer dereference. 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-2021-29526 | 1 Google | 1 Tensorflow | 2021-05-20 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a division by 0 in `tf.raw_ops.Conv2D`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/988087bd83f144af14087fe4fecee2d250d93737/tensorflow/core/kernels/conv_ops.cc#L261-L263) does a division by a quantity that is controlled by the caller. 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-2021-29528 | 1 Google | 1 Tensorflow | 2021-05-20 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a division by 0 in `tf.raw_ops.QuantizedMul`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/55900e961ed4a23b438392024912154a2c2f5e85/tensorflow/core/kernels/quantized_mul_op.cc#L188-L198) does a division by a quantity that is controlled by the caller. 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-2021-29554 | 1 Google | 1 Tensorflow | 2021-05-20 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a denial of service via a FPE runtime error in `tf.raw_ops.DenseCountSparseOutput`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/efff014f3b2d8ef6141da30c806faf141297eca1/tensorflow/core/kernels/count_ops.cc#L123-L127) computes a divisor value from user data but does not check that the result is 0 before doing the division. Since `data` is given by the `values` argument, `num_batch_elements` is 0. 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-2021-29516 | 1 Google | 1 Tensorflow | 2021-05-20 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an end-to-end open source platform for machine learning. Calling `tf.raw_ops.RaggedTensorToVariant` with arguments specifying an invalid ragged tensor results in a null pointer dereference. The implementation of `RaggedTensorToVariant` operations(https://github.com/tensorflow/tensorflow/blob/904b3926ed1c6c70380d5313d282d248a776baa1/tensorflow/core/kernels/ragged_tensor_to_variant_op.cc#L39-L40) does not validate that the ragged tensor argument is non-empty. Since `batched_ragged` contains no elements, `batched_ragged.splits` is a null vector, thus `batched_ragged.splits(0)` will result in dereferencing `nullptr`. 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-2021-29527 | 1 Google | 1 Tensorflow | 2021-05-20 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a division by 0 in `tf.raw_ops.QuantizedConv2D`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/00e9a4d67d76703fa1aee33dac582acf317e0e81/tensorflow/core/kernels/quantized_conv_ops.cc#L257-L259) does a division by a quantity that is controlled by the caller. 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-2021-29531 | 1 Google | 1 Tensorflow | 2021-05-20 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a `CHECK` fail in PNG encoding by providing an empty input tensor as the pixel data. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/e312e0791ce486a80c9d23110841525c6f7c3289/tensorflow/core/kernels/image/encode_png_op.cc#L57-L60) only validates that the total number of pixels in the image does not overflow. Thus, an attacker can send an empty matrix for encoding. However, if the tensor is empty, then the associated buffer is `nullptr`. Hence, when calling `png::WriteImageToBuffer`(https://github.com/tensorflow/tensorflow/blob/e312e0791ce486a80c9d23110841525c6f7c3289/tensorflow/core/kernels/image/encode_png_op.cc#L79-L93), the first argument (i.e., `image.flat<T>().data()`) is `NULL`. This then triggers the `CHECK_NOTNULL` in the first line of `png::WriteImageToBuffer`(https://github.com/tensorflow/tensorflow/blob/e312e0791ce486a80c9d23110841525c6f7c3289/tensorflow/core/lib/png/png_io.cc#L345-L349). Since `image` is null, this results in `abort` being called after printing the stacktrace. Effectively, this allows an attacker to mount a denial of service attack. 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-2021-29584 | 1 Google | 1 Tensorflow | 2021-05-20 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a denial of service via a `CHECK`-fail in caused by an integer overflow in constructing a new tensor shape. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/0908c2f2397c099338b901b067f6495a5b96760b/tensorflow/core/kernels/sparse_split_op.cc#L66-L70) builds a dense shape without checking that the dimensions would not result in overflow. The `TensorShape` constructor(https://github.com/tensorflow/tensorflow/blob/6f9896890c4c703ae0a0845394086e2e1e523299/tensorflow/core/framework/tensor_shape.cc#L183-L188) uses a `CHECK` operation which triggers when `InitDims`(https://github.com/tensorflow/tensorflow/blob/6f9896890c4c703ae0a0845394086e2e1e523299/tensorflow/core/framework/tensor_shape.cc#L212-L296) returns a non-OK status. This is a legacy implementation of the constructor and operations should use `BuildTensorShapeBase` or `AddDimWithStatus` to prevent `CHECK`-failures in the presence of overflows. 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-2021-29548 | 1 Google | 1 Tensorflow | 2021-05-20 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a runtime division by zero error and denial of service in `tf.raw_ops.QuantizedBatchNormWithGlobalNormalization`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/55a97caa9e99c7f37a0bbbeb414dc55553d3ae7f/tensorflow/core/kernels/quantized_batch_norm_op.cc) does not validate all constraints specified in the op's contract(https://www.tensorflow.org/api_docs/python/tf/raw_ops/QuantizedBatchNormWithGlobalNormalization). 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-2021-29572 | 1 Google | 1 Tensorflow | 2021-05-20 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an end-to-end open source platform for machine learning. The implementation of `tf.raw_ops.SdcaOptimizer` triggers undefined behavior due to dereferencing a null pointer. The implementation(https://github.com/tensorflow/tensorflow/blob/60a45c8b6192a4699f2e2709a2645a751d435cc3/tensorflow/core/kernels/sdca_internal.cc) does not validate that the user supplied arguments satisfy all constraints expected by the op(https://www.tensorflow.org/api_docs/python/tf/raw_ops/SdcaOptimizer). 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-2021-29573 | 1 Google | 1 Tensorflow | 2021-05-20 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an end-to-end open source platform for machine learning. The implementation of `tf.raw_ops.MaxPoolGradWithArgmax` is vulnerable to a division by 0. The implementation(https://github.com/tensorflow/tensorflow/blob/279bab6efa22752a2827621b7edb56a730233bd8/tensorflow/core/kernels/maxpooling_op.cc#L1033-L1034) fails to validate that the batch dimension of the tensor is non-zero, before dividing by this quantity. 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-2021-29581 | 1 Google | 1 Tensorflow | 2021-05-20 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an end-to-end open source platform for machine learning. Due to lack of validation in `tf.raw_ops.CTCBeamSearchDecoder`, an attacker can trigger denial of service via segmentation faults. The implementation(https://github.com/tensorflow/tensorflow/blob/a74768f8e4efbda4def9f16ee7e13cf3922ac5f7/tensorflow/core/kernels/ctc_decoder_ops.cc#L68-L79) fails to detect cases when the input tensor is empty and proceeds to read data from a null buffer. 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-2021-29580 | 1 Google | 1 Tensorflow | 2021-05-20 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an end-to-end open source platform for machine learning. The implementation of `tf.raw_ops.FractionalMaxPoolGrad` triggers an undefined behavior if one of the input tensors is empty. The code is also vulnerable to a denial of service attack as a `CHECK` condition becomes false and aborts the process. The implementation(https://github.com/tensorflow/tensorflow/blob/169054888d50ce488dfde9ca55d91d6325efbd5b/tensorflow/core/kernels/fractional_max_pool_op.cc#L215) fails to validate that input and output tensors are not empty and are of the same rank. Each of these unchecked assumptions is responsible for the above issues. 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. | |||||