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# CVE ID CWE ID # of Exploits Vulnerability Type(s) Publish Date Update Date Score Gained Access Level Access Complexity Authentication Conf. Integ. Avail.
1 CVE-2022-22270 552 2022-01-10 2022-01-14
4.3
None Remote Medium Not required Partial None None
An implicit Intent hijacking vulnerability in Dialer prior to SMR Jan-2022 Release 1 allows unprivileged applications to access contact information.
2 CVE-2021-41228 94 2021-11-05 2021-11-10
4.6
None Local Low Not required Partial Partial Partial
TensorFlow is an open source platform for machine learning. In affected versions TensorFlow's `saved_model_cli` tool is vulnerable to a code injection as it calls `eval` on user supplied strings. This can be used by attackers to run arbitrary code on the plaform where the CLI tool runs. However, given that the tool is always run manually, the impact of this is not severe. We have patched this by adding a `safe` flag which defaults to `True` and an explicit warning for users. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.
3 CVE-2021-41221 787 Overflow 2021-11-05 2021-11-10
4.6
None Local Low Not required Partial Partial Partial
TensorFlow is an open source platform for machine learning. In affected versions the shape inference code for the `Cudnn*` operations in TensorFlow can be tricked into accessing invalid memory, via a heap buffer overflow. This occurs because the ranks of the `input`, `input_h` and `input_c` parameters are not validated, but code assumes they have certain values. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.
4 CVE-2021-41220 416 2021-11-05 2021-11-10
4.6
None Local Low Not required Partial Partial Partial
TensorFlow is an open source platform for machine learning. In affected versions the async implementation of `CollectiveReduceV2` suffers from a memory leak and a use after free. This occurs due to the asynchronous computation and the fact that objects that have been `std::move()`d from are still accessed. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, as this version is the only one that is also affected.
5 CVE-2021-41219 125 2021-11-05 2021-11-09
4.6
None Local Low Not required Partial Partial Partial
TensorFlow is an open source platform for machine learning. In affected versions the code for sparse matrix multiplication is vulnerable to undefined behavior via binding a reference to `nullptr`. This occurs whenever the dimensions of `a` or `b` are 0 or less. In the case on one of these is 0, an empty output tensor should be allocated (to conserve the invariant that output tensors are always allocated when the operation is successful) but nothing should be written to it (that is, we should return early from the kernel implementation). Otherwise, attempts to write to this empty tensor would result in heap OOB access. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.
6 CVE-2021-41216 787 Overflow 2021-11-05 2021-11-09
4.6
None Local Low Not required Partial Partial Partial
TensorFlow is an open source platform for machine learning. In affected versions the shape inference function for `Transpose` is vulnerable to a heap buffer overflow. This occurs whenever `perm` contains negative elements. The shape inference function does not validate that the indices in `perm` are all valid. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.
7 CVE-2021-41214 824 2021-11-05 2021-11-09
4.6
None Local Low Not required Partial Partial Partial
TensorFlow is an open source platform for machine learning. In affected versions the shape inference code for `tf.ragged.cross` has an undefined behavior due to binding a reference to `nullptr`. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.
8 CVE-2021-41213 667 DoS 2021-11-05 2021-11-09
4.3
None Remote Medium Not required None None Partial
TensorFlow is an open source platform for machine learning. In affected versions the code behind `tf.function` API can be made to deadlock when two `tf.function` decorated Python functions are mutually recursive. This occurs due to using a non-reentrant `Lock` Python object. Loading any model which contains mutually recursive functions is vulnerable. An attacker can cause denial of service by causing users to load such models and calling a recursive `tf.function`, although this is not a frequent scenario. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.
9 CVE-2021-41208 476 DoS 2021-11-05 2021-11-09
4.6
None Local Low Not required Partial Partial Partial
TensorFlow is an open source platform for machine learning. In affected versions the code for boosted trees in TensorFlow is still missing validation. As a result, attackers can trigger denial of service (via dereferencing `nullptr`s or via `CHECK`-failures) as well as abuse undefined behavior (binding references to `nullptr`s). An attacker can also read and write from heap buffers, depending on the API that gets used and the arguments that are passed to the call. Given that the boosted trees implementation in TensorFlow is unmaintained, it is recommend to no longer use these APIs. We will deprecate TensorFlow's boosted trees APIs in subsequent releases. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.
10 CVE-2021-41206 354 2021-11-05 2021-11-09
4.6
None Local Low Not required Partial Partial Partial
TensorFlow is an open source platform for machine learning. In affected versions several TensorFlow operations are missing validation for the shapes of the tensor arguments involved in the call. Depending on the API, this can result in undefined behavior and segfault or `CHECK`-fail related crashes but in some scenarios writes and reads from heap populated arrays are also possible. We have discovered these issues internally via tooling while working on improving/testing GPU op determinism. As such, we don't have reproducers and there will be multiple fixes for these issues. These fixes will be included in TensorFlow 2.7.0. We will also cherrypick these commits on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.
11 CVE-2021-41203 345 Overflow 2021-11-05 2021-11-09
4.6
None Local Low Not required Partial Partial Partial
TensorFlow is an open source platform for machine learning. In affected versions an attacker can trigger undefined behavior, integer overflows, segfaults and `CHECK`-fail crashes if they can change saved checkpoints from outside of TensorFlow. This is because the checkpoints loading infrastructure is missing validation for invalid file formats. The fixes will be included in TensorFlow 2.7.0. We will also cherrypick these commits on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.
12 CVE-2021-41201 824 Exec Code 2021-11-05 2021-11-09
4.6
None Local Low Not required Partial Partial Partial
TensorFlow is an open source platform for machine learning. In affeced versions during execution, `EinsumHelper::ParseEquation()` is supposed to set the flags in `input_has_ellipsis` vector and `*output_has_ellipsis` boolean to indicate whether there is ellipsis in the corresponding inputs and output. However, the code only changes these flags to `true` and never assigns `false`. This results in unitialized variable access if callers assume that `EinsumHelper::ParseEquation()` always sets these flags. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.
13 CVE-2021-41130 290 2021-10-07 2021-10-18
4.9
None Remote Medium ??? Partial Partial None
Extensible Service Proxy, a.k.a. ESP is a proxy which enables API management capabilities for JSON/REST or gRPC API services. ESPv1 can be configured to authenticate a JWT token. Its verified JWT claim is passed to the application by HTTP header "X-Endpoint-API-UserInfo", the application can use it to do authorization. But if there are two "X-Endpoint-API-UserInfo" headers from the client, ESPv1 only replaces the first one, the 2nd one will be passed to the application. An attacker can send two "X-Endpoint-API-UserInfo" headers, the second one with a fake JWT claim. Application may use the fake JWT claim to do the authorization. This impacts following ESPv1 usages: 1) Users have configured ESPv1 to do JWT authentication with Google ID Token as described in the referenced google endpoint document. 2) Users backend application is using the info in the "X-Endpoint-API-UserInfo" header to do the authorization. It has been fixed by v1.58.0. You need to patch it in the following ways: * If your docker image is using tag ":1", needs to re-start the container to pick up the new version. The tag ":1" will automatically point to the latest version. * If your docker image tag pings to a specific minor version, e.g. ":1.57". You need to update it to ":1.58" and re-start the container. There are no workaround for this issue.
14 CVE-2021-39681 416 Exec Code 2022-01-14 2022-01-19
4.6
None Local Low Not required Partial Partial Partial
In delete_protocol of main.c, there is a possible arbitrary code execution due to a use after free. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android kernelAndroid ID: A-200251074References: N/A
15 CVE-2021-39659 755 DoS 2022-01-14 2022-01-20
4.7
None Local Medium Not required None None Complete
In sortSimPhoneAccountsForEmergency of CreateConnectionProcessor.java, there is a possible prevention of access to emergency calling due to an unhandled exception. In rare instances, this could lead to local denial of service with User execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android-10 Android-11 Android-12Android ID: A-208267659
16 CVE-2021-39656 416 2021-12-15 2021-12-20
4.6
None Local Low Not required Partial Partial Partial
In __configfs_open_file of file.c, there is a possible use-after-free due to improper locking. This could lead to local escalation of privilege in the kernel with System execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android kernelAndroid ID: A-174049066References: Upstream kernel
17 CVE-2021-39653 269 2021-12-15 2021-12-20
4.6
None Local Low Not required Partial Partial Partial
In (TBD) of (TBD), there is a possible way to boot with a hidden debug policy due to a missing warning to the user. This could lead to local escalation of privilege after preparing the device, hiding the warning, and passing the phone to a new user, with no additional execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android kernelAndroid ID: A-193443223References: N/A
18 CVE-2021-39652 787 2021-12-15 2021-12-20
4.6
None Local Low Not required Partial Partial Partial
In sec_ts_parsing_cmds of (TBD), there is a possible out of bounds write due to an incorrect bounds check. This could lead to local escalation of privilege with System execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android kernelAndroid ID: A-194499021References: N/A
19 CVE-2021-39651 276 Bypass 2021-12-15 2021-12-20
4.6
None Local Low Not required Partial Partial Partial
In TBD of TBD, there is a possible way to access PIN protected settings bypassing PIN confirmation due to a missing permission check. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android kernelAndroid ID: A-193438173References: N/A
20 CVE-2021-39650 787 2021-12-15 2021-12-20
4.6
None Local Low Not required Partial Partial Partial
In (TBD) of (TBD), there is a possible out of bounds write due to a missing bounds check. This could lead to local escalation of privilege with System execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android kernelAndroid ID: A-169763055References: N/A
21 CVE-2021-39649 416 2021-12-15 2021-12-20
4.6
None Local Low Not required Partial Partial Partial
In regmap_exit of regmap.c, there is a possible use-after-free due to improper locking. This could lead to local escalation of privilege in the kernel with System execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android kernelAndroid ID: A-174049006References: N/A
22 CVE-2021-39646 668 2021-12-15 2021-12-17
5.0
None Remote Low Not required Partial None None
Product: AndroidVersions: Android kernelAndroid ID: A-201537251References: N/A
23 CVE-2021-39643 269 Bypass 2021-12-15 2021-12-20
4.6
None Local Low Not required Partial Partial Partial
In ic_startRetrieveEntryValue of acropora/app/identity/ic.c, there is a possible bypass of defense-in-depth due to missing validation of the return value. This could lead to local escalation of privilege with System execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android kernelAndroid ID: A-195573629References: N/A
24 CVE-2021-39642 362 2021-12-15 2021-12-20
4.4
None Local Medium Not required Partial Partial Partial
In synchronous_process_io_entries of lwis_ioctl.c, there is a possible out of bounds write due to a race condition. This could lead to local escalation of privilege with System execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android kernelAndroid ID: A-195731663References: N/A
25 CVE-2021-39638 416 2021-12-15 2021-12-20
4.6
None Local Low Not required Partial Partial Partial
In periodic_io_work_func of lwis_periodic_io.c, there is a possible out of bounds write due to a use after free. This could lead to local escalation of privilege with System execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android kernelAndroid ID: A-195607566References: N/A
26 CVE-2021-38022 2021-12-23 2022-01-15
4.3
None Remote Medium Not required Partial None None
Inappropriate implementation in WebAuthentication in Google Chrome prior to 96.0.4664.45 allowed a remote attacker to leak cross-origin data via a crafted HTML page.
27 CVE-2021-38021 Bypass 2021-12-23 2022-01-15
4.3
None Remote Medium Not required None Partial None
Inappropriate implementation in referrer in Google Chrome prior to 96.0.4664.45 allowed a remote attacker to bypass navigation restrictions via a crafted HTML page.
28 CVE-2021-38019 863 2021-12-23 2022-01-15
4.3
None Remote Medium Not required Partial None None
Insufficient policy enforcement in CORS in Google Chrome prior to 96.0.4664.45 allowed a remote attacker to leak cross-origin data via a crafted HTML page.
29 CVE-2021-38018 2021-12-23 2022-01-15
4.3
None Remote Medium Not required None Partial None
Inappropriate implementation in navigation in Google Chrome prior to 96.0.4664.45 allowed a remote attacker to perform domain spoofing via a crafted HTML page.
30 CVE-2021-38010 Bypass 2021-12-23 2022-01-15
4.3
None Remote Medium Not required None Partial None
Inappropriate implementation in service workers in Google Chrome prior to 96.0.4664.45 allowed a remote attacker who had compromised the renderer process to bypass site isolation via a crafted HTML page.
31 CVE-2021-38009 668 2021-12-23 2022-01-15
4.3
None Remote Medium Not required Partial None None
Inappropriate implementation in cache in Google Chrome prior to 96.0.4664.45 allowed a remote attacker to leak cross-origin data via a crafted HTML page.
32 CVE-2021-38004 668 2021-11-23 2022-01-15
4.3
None Remote Medium Not required Partial None None
Insufficient policy enforcement in Autofill in Google Chrome prior to 95.0.4638.69 allowed a remote attacker to leak cross-origin data via a crafted HTML page.
33 CVE-2021-37999 79 XSS 2021-11-23 2022-01-15
4.3
None Remote Medium Not required None Partial None
Insufficient data validation in New Tab Page in Google Chrome prior to 95.0.4638.69 allowed a remote attacker to inject arbitrary scripts or HTML in a new browser tab via a crafted HTML page.
34 CVE-2021-37996 20 Bypass 2021-11-02 2022-01-15
4.3
None Remote Medium Not required None Partial None
Insufficient validation of untrusted input Downloads in Google Chrome prior to 95.0.4638.54 allowed a remote attacker to bypass navigation restrictions via a malicious file.
35 CVE-2021-37995 2021-11-02 2022-01-15
4.3
None Remote Medium Not required None Partial None
Inappropriate implementation in WebApp Installer in Google Chrome prior to 95.0.4638.54 allowed a remote attacker to potentially overlay and spoof the contents of the Omnibox (URL bar) via a crafted HTML page.
36 CVE-2021-37994 Bypass 2021-11-02 2022-01-15
4.3
None Remote Medium Not required None Partial None
Inappropriate implementation in iFrame Sandbox in Google Chrome prior to 95.0.4638.54 allowed a remote attacker to bypass navigation restrictions via a crafted HTML page.
37 CVE-2021-37991 362 2021-11-02 2022-01-15
5.1
None Remote High Not required Partial Partial Partial
Race in V8 in Google Chrome prior to 95.0.4638.54 allowed a remote attacker to potentially exploit heap corruption via a crafted HTML page.
38 CVE-2021-37990 2021-11-02 2022-01-15
4.3
None Remote Medium Not required Partial None None
Inappropriate implementation in WebView in Google Chrome on Android prior to 95.0.4638.54 allowed a remote attacker to leak cross-origin data via a crafted app.
39 CVE-2021-37989 2021-11-02 2022-01-15
4.3
None Remote Medium Not required None Partial None
Inappropriate implementation in Blink in Google Chrome prior to 95.0.4638.54 allowed a remote attacker to abuse content security policy via a crafted HTML page.
40 CVE-2021-37976 +Info 2021-10-08 2022-01-15
4.3
None Remote Medium Not required Partial None None
Inappropriate implementation in Memory in Google Chrome prior to 94.0.4606.71 allowed a remote attacker to obtain potentially sensitive information from process memory via a crafted HTML page.
41 CVE-2021-37971 1021 2021-10-08 2022-01-15
4.3
None Remote Medium Not required None Partial None
Incorrect security UI in Web Browser UI in Google Chrome prior to 94.0.4606.54 allowed a remote attacker to spoof the contents of the Omnibox (URL bar) via a crafted HTML page.
42 CVE-2021-37968 668 2021-10-08 2022-01-15
4.3
None Remote Medium Not required Partial None None
Inappropriate implementation in Background Fetch API in Google Chrome prior to 94.0.4606.54 allowed a remote attacker to leak cross-origin data via a crafted HTML page.
43 CVE-2021-37967 668 2021-10-08 2022-01-15
4.3
None Remote Medium Not required Partial None None
Inappropriate implementation in Background Fetch API in Google Chrome prior to 94.0.4606.54 allowed a remote attacker who had compromised the renderer process to leak cross-origin data via a crafted HTML page.
44 CVE-2021-37965 668 2021-10-08 2022-01-15
4.3
None Remote Medium Not required Partial None None
Inappropriate implementation in Background Fetch API in Google Chrome prior to 94.0.4606.54 allowed a remote attacker to leak cross-origin data via a crafted HTML page.
45 CVE-2021-37963 Bypass +Info 2021-10-08 2022-01-15
4.3
None Remote Medium Not required Partial None None
Side-channel information leakage in DevTools in Google Chrome prior to 94.0.4606.54 allowed a remote attacker to bypass site isolation via a crafted HTML page.
46 CVE-2021-37958 2021-10-08 2022-01-15
5.8
None Remote Medium Not required Partial Partial None
Inappropriate implementation in Navigation in Google Chrome on Windows prior to 94.0.4606.54 allowed a remote attacker to inject scripts or HTML into a privileged page via a crafted HTML page.
47 CVE-2021-37690 416 2021-08-13 2021-08-19
4.6
None Local Low Not required Partial Partial Partial
TensorFlow is an end-to-end open source platform for machine learning. In affected versions when running shape functions, some functions (such as `MutableHashTableShape`) produce extra output information in the form of a `ShapeAndType` struct. The shapes embedded in this struct are owned by an inference context that is cleaned up almost immediately; if the upstream code attempts to access this shape information, it can trigger a segfault. `ShapeRefiner` is mitigating this for normal output shapes by cloning them (and thus putting the newly created shape under ownership of an inference context that will not die), but we were not doing the same for shapes and types. This commit fixes that by doing similar logic on output shapes and types. We have patched the issue in GitHub commit ee119d4a498979525046fba1c3dd3f13a039fbb1. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.
48 CVE-2021-37681 476 2021-08-12 2021-08-18
4.6
None Local Low Not required Partial Partial Partial
TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of SVDF in TFLite is [vulnerable to a null pointer error](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/lite/kernels/svdf.cc#L300-L313). The [`GetVariableInput` function](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/lite/kernels/kernel_util.cc#L115-L119) can return a null pointer but `GetTensorData` assumes that the argument is always a valid tensor. Furthermore, because `GetVariableInput` calls [`GetMutableInput`](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/lite/kernels/kernel_util.cc#L82-L90) which might return `nullptr`, the `tensor->is_variable` expression can also trigger a null pointer exception. We have patched the issue in GitHub commit 5b048e87e4e55990dae6b547add4dae59f4e1c76. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.
49 CVE-2021-37679 681 +Info 2021-08-12 2021-08-19
4.6
None Local Low Not required Partial Partial Partial
TensorFlow is an end-to-end open source platform for machine learning. In affected versions it is possible to nest a `tf.map_fn` within another `tf.map_fn` call. However, if the input tensor is a `RaggedTensor` and there is no function signature provided, code assumes the output is a fully specified tensor and fills output buffer with uninitialized contents from the heap. The `t` and `z` outputs should be identical, however this is not the case. The last row of `t` contains data from the heap which can be used to leak other memory information. The bug lies in the conversion from a `Variant` tensor to a `RaggedTensor`. The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/ragged_tensor_from_variant_op.cc#L177-L190) does not check that all inner shapes match and this results in the additional dimensions. The same implementation can result in data loss, if input tensor is tweaked. We have patched the issue in GitHub commit 4e2565483d0ffcadc719bd44893fb7f609bb5f12. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.
50 CVE-2021-37678 502 Exec Code 2021-08-12 2021-08-19
4.6
None Local Low Not required Partial Partial Partial
TensorFlow is an end-to-end open source platform for machine learning. In affected versions TensorFlow and Keras can be tricked to perform arbitrary code execution when deserializing a Keras model from YAML format. The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/python/keras/saving/model_config.py#L66-L104) uses `yaml.unsafe_load` which can perform arbitrary code execution on the input. Given that YAML format support requires a significant amount of work, we have removed it for now. We have patched the issue in GitHub commit 23d6383eb6c14084a8fc3bdf164043b974818012. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.
Total number of vulnerabilities : 2499   Page : 1 (This Page)2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50
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