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2922 CVE
| CVE | Vendors | Products | Updated | CVSS v2 | CVSS v3 |
|---|---|---|---|---|---|
| CVE-2021-0622 | 2 Google, Mediatek | 77 Android, Mt5522, Mt5527 and 74 more | 2021-11-19 | 2.1 LOW | 5.5 MEDIUM |
| In asf extractor, there is a possible out of bounds read due to a heap buffer overflow. This could lead to local information disclosure with no additional execution privileges needed. User interaction is not needed for exploitation. Patch ID: ALPS05489178; Issue ID: ALPS05561388. | |||||
| CVE-2021-0623 | 2 Google, Mediatek | 78 Android, Mt5522, Mt5527 and 75 more | 2021-11-19 | 2.1 LOW | 5.5 MEDIUM |
| In asf extractor, there is a possible out of bounds read due to an integer overflow. This could lead to local information disclosure with no additional execution privileges needed. User interaction is not needed for exploitation. Patch ID: ALPS05489178; Issue ID: ALPS05585817. | |||||
| CVE-2021-0624 | 2 Google, Mediatek | 50 Android, Mt6580, Mt6735 and 47 more | 2021-11-19 | 2.1 LOW | 5.5 MEDIUM |
| In flv extractor, there is a possible out of bounds read due to a heap buffer overflow. This could lead to local information disclosure with no additional execution privileges needed. User interaction is not needed for exploitation. Patch ID: ALPS05594988; Issue ID: ALPS05594988. | |||||
| CVE-2021-0629 | 2 Google, Mediatek | 21 Android, Mt6873, Mt6875 and 18 more | 2021-11-19 | 7.2 HIGH | 6.7 MEDIUM |
| In mdlactl driver, there is a possible memory corruption 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. Patch ID: ALPS05776625; Issue ID: ALPS05776625. | |||||
| CVE-2021-0620 | 2 Google, Mediatek | 77 Android, Mt5522, Mt5527 and 74 more | 2021-11-19 | 2.1 LOW | 5.5 MEDIUM |
| In asf extractor, there is a possible out of bounds read due to a heap buffer overflow. This could lead to local information disclosure with no additional execution privileges needed. User interaction is not needed for exploitation. Patch ID: ALPS05489178; Issue ID: ALPS05561381. | |||||
| CVE-2021-0621 | 2 Google, Mediatek | 76 Android, Mt5522, Mt5527 and 73 more | 2021-11-19 | 2.1 LOW | 5.5 MEDIUM |
| In asf extractor, there is a possible out of bounds read due to an integer overflow. This could lead to local information disclosure with no additional execution privileges needed. User interaction is not needed for exploitation. Patch ID: ALPS05489178; Issue ID: ALPS05561383. | |||||
| CVE-2021-0619 | 2 Google, Mediatek | 47 Android, Mt6739, Mt6758 and 44 more | 2021-11-19 | 2.1 LOW | 5.5 MEDIUM |
| In ape extractor, 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. Patch ID: ALPS05561395; Issue ID: ALPS05561395. | |||||
| CVE-2020-15213 | 1 Google | 1 Tensorflow | 2021-11-18 | 4.3 MEDIUM | 4.0 MEDIUM |
| In TensorFlow Lite before versions 2.2.1 and 2.3.1, models using segment sum can trigger a denial of service by causing an out of memory allocation in the implementation of segment sum. Since code uses the last element of the tensor holding them to determine the dimensionality of output tensor, attackers can use a very large value to trigger a large allocation. The issue is patched in commit 204945b19e44b57906c9344c0d00120eeeae178a and is released in TensorFlow versions 2.2.1, or 2.3.1. A potential workaround would be to add a custom `Verifier` to limit the maximum value in the segment ids tensor. This only handles the case when the segment ids are stored statically in the model, but a similar validation could be done if the segment ids are generated at runtime, between inference steps. However, if the segment ids are generated as outputs of a tensor during inference steps, then there are no possible workaround and users are advised to upgrade to patched code. | |||||
| CVE-2020-15210 | 2 Google, Opensuse | 2 Tensorflow, Leap | 2021-11-18 | 5.8 MEDIUM | 6.5 MEDIUM |
| In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, if a TFLite saved model uses the same tensor as both input and output of an operator, then, depending on the operator, we can observe a segmentation fault or just memory corruption. We have patched the issue in d58c96946b and will release patch releases for all versions between 1.15 and 2.3. We recommend users to upgrade to TensorFlow 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1. | |||||
| CVE-2020-15200 | 1 Google | 1 Tensorflow | 2021-11-18 | 4.3 MEDIUM | 5.9 MEDIUM |
| In Tensorflow before version 2.3.1, the `RaggedCountSparseOutput` implementation does not validate that the input arguments form a valid ragged tensor. In particular, there is no validation that the values in the `splits` tensor generate a valid partitioning of the `values` tensor. Thus, the code sets up conditions to cause a heap buffer overflow. A `BatchedMap` is equivalent to a vector where each element is a hashmap. However, if the first element of `splits_values` is not 0, `batch_idx` will never be 1, hence there will be no hashmap at index 0 in `per_batch_counts`. Trying to access that in the user code results in a segmentation fault. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1. | |||||
| CVE-2020-15201 | 1 Google | 1 Tensorflow | 2021-11-18 | 6.8 MEDIUM | 4.8 MEDIUM |
| In Tensorflow before version 2.3.1, the `RaggedCountSparseOutput` implementation does not validate that the input arguments form a valid ragged tensor. In particular, there is no validation that the values in the `splits` tensor generate a valid partitioning of the `values` tensor. Hence, the code is prone to heap buffer overflow. If `split_values` does not end with a value at least `num_values` then the `while` loop condition will trigger a read outside of the bounds of `split_values` once `batch_idx` grows too large. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1. | |||||
| CVE-2020-15199 | 1 Google | 1 Tensorflow | 2021-11-18 | 4.3 MEDIUM | 5.9 MEDIUM |
| In Tensorflow before version 2.3.1, the `RaggedCountSparseOutput` does not validate that the input arguments form a valid ragged tensor. In particular, there is no validation that the `splits` tensor has the minimum required number of elements. Code uses this quantity to initialize a different data structure. Since `BatchedMap` is equivalent to a vector, it needs to have at least one element to not be `nullptr`. If user passes a `splits` tensor that is empty or has exactly one element, we get a `SIGABRT` signal raised by the operating system. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1. | |||||
| CVE-2020-15198 | 1 Google | 1 Tensorflow | 2021-11-18 | 5.8 MEDIUM | 5.4 MEDIUM |
| In Tensorflow before version 2.3.1, the `SparseCountSparseOutput` implementation does not validate that the input arguments form a valid sparse tensor. In particular, there is no validation that the `indices` tensor has the same shape as the `values` one. The values in these tensors are always accessed in parallel. Thus, a shape mismatch can result in accesses outside the bounds of heap allocated buffers. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1. | |||||
| CVE-2020-15191 | 2 Google, Opensuse | 2 Tensorflow, Leap | 2021-11-18 | 5.0 MEDIUM | 5.3 MEDIUM |
| In Tensorflow before versions 2.2.1 and 2.3.1, if a user passes an invalid argument to `dlpack.to_dlpack` the expected validations will cause variables to bind to `nullptr` while setting a `status` variable to the error condition. However, this `status` argument is not properly checked. Hence, code following these methods will bind references to null pointers. This is undefined behavior and reported as an error if compiling with `-fsanitize=null`. The issue is patched in commit 22e07fb204386768e5bcbea563641ea11f96ceb8 and is released in TensorFlow versions 2.2.1, or 2.3.1. | |||||
| CVE-2020-15190 | 2 Google, Opensuse | 2 Tensorflow, Leap | 2021-11-18 | 5.0 MEDIUM | 5.3 MEDIUM |
| In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the `tf.raw_ops.Switch` operation takes as input a tensor and a boolean and outputs two tensors. Depending on the boolean value, one of the tensors is exactly the input tensor whereas the other one should be an empty tensor. However, the eager runtime traverses all tensors in the output. Since only one of the tensors is defined, the other one is `nullptr`, hence we are binding a reference to `nullptr`. This is undefined behavior and reported as an error if compiling with `-fsanitize=null`. In this case, this results in a segmentation fault The issue is patched in commit da8558533d925694483d2c136a9220d6d49d843c, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1. | |||||
| CVE-2020-15192 | 2 Google, Opensuse | 2 Tensorflow, Leap | 2021-11-18 | 4.0 MEDIUM | 4.3 MEDIUM |
| In Tensorflow before versions 2.2.1 and 2.3.1, if a user passes a list of strings to `dlpack.to_dlpack` there is a memory leak following an expected validation failure. The issue occurs because the `status` argument during validation failures is not properly checked. Since each of the above methods can return an error status, the `status` value must be checked before continuing. The issue is patched in commit 22e07fb204386768e5bcbea563641ea11f96ceb8 and is released in TensorFlow versions 2.2.1, or 2.3.1. | |||||
| CVE-2016-5696 | 3 Google, Linux, Oracle | 3 Android, Linux Kernel, Vm Server | 2021-11-17 | 5.8 MEDIUM | 4.8 MEDIUM |
| net/ipv4/tcp_input.c in the Linux kernel before 4.7 does not properly determine the rate of challenge ACK segments, which makes it easier for remote attackers to hijack TCP sessions via a blind in-window attack. | |||||
| CVE-2021-43191 | 3 Apple, Google, Jetbrains | 3 Iphone Os, Android, Youtrack Mobile | 2021-11-10 | 5.0 MEDIUM | 5.3 MEDIUM |
| JetBrains YouTrack Mobile before 2021.2, is missing the security screen on Android and iOS. | |||||
| CVE-2021-41222 | 1 Google | 1 Tensorflow | 2021-11-10 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an open source platform for machine learning. In affected versions the implementation of `SplitV` can trigger a segfault is an attacker supplies negative arguments. This occurs whenever `size_splits` contains more than one value and at least one value is negative. 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. | |||||
| CVE-2021-43190 | 2 Google, Jetbrains | 2 Android, Youtrack Mobile | 2021-11-10 | 5.0 MEDIUM | 5.3 MEDIUM |
| In JetBrains YouTrack Mobile before 2021.2, task hijacking on Android is possible. | |||||
| CVE-2021-41227 | 1 Google | 1 Tensorflow | 2021-11-10 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an open source platform for machine learning. In affected versions the `ImmutableConst` operation in TensorFlow can be tricked into reading arbitrary memory contents. This is because the `tstring` TensorFlow string class has a special case for memory mapped strings but the operation itself does not offer any support for this datatype. 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. | |||||
| CVE-2021-41218 | 1 Google | 1 Tensorflow | 2021-11-09 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an open source platform for machine learning. In affected versions the shape inference code for `AllToAll` can be made to execute a division by 0. This occurs whenever the `split_count` argument is 0. 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. | |||||
| CVE-2021-41209 | 1 Google | 1 Tensorflow | 2021-11-09 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an open source platform for machine learning. In affected versions the implementations for convolution operators trigger a division by 0 if passed empty filter tensor arguments. 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. | |||||
| CVE-2021-41207 | 1 Google | 1 Tensorflow | 2021-11-09 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an open source platform for machine learning. In affected versions the implementation of `ParallelConcat` misses some input validation and can produce a division by 0. 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. | |||||
| CVE-2021-41200 | 1 Google | 1 Tensorflow | 2021-11-09 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an open source platform for machine learning. In affected versions if `tf.summary.create_file_writer` is called with non-scalar arguments code crashes due to a `CHECK`-fail. 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. | |||||
| CVE-2021-41199 | 1 Google | 1 Tensorflow | 2021-11-09 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an open source platform for machine learning. In affected versions if `tf.image.resize` is called with a large input argument then the TensorFlow process will crash due to a `CHECK`-failure caused by an overflow. The number of elements in the output tensor is too much for the `int64_t` type and the overflow is detected via a `CHECK` statement. This aborts the process. 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. | |||||
| CVE-2021-41215 | 1 Google | 1 Tensorflow | 2021-11-09 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an open source platform for machine learning. In affected versions the shape inference code for `DeserializeSparse` can trigger a null pointer dereference. This is because the shape inference function assumes that the `serialize_sparse` tensor is a tensor with positive rank (and having `3` as the last dimension). 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. | |||||
| CVE-2021-41217 | 1 Google | 1 Tensorflow | 2021-11-09 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an open source platform for machine learning. In affected versions the process of building the control flow graph for a TensorFlow model is vulnerable to a null pointer exception when nodes that should be paired are not. This occurs because the code assumes that the first node in the pairing (e.g., an `Enter` node) always exists when encountering the second node (e.g., an `Exit` node). When this is not the case, `parent` is `nullptr` so dereferencing it causes a crash. 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. | |||||
| CVE-2021-41213 | 1 Google | 1 Tensorflow | 2021-11-09 | 4.3 MEDIUM | 5.5 MEDIUM |
| 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. | |||||
| CVE-2021-41204 | 1 Google | 1 Tensorflow | 2021-11-09 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an open source platform for machine learning. In affected versions during TensorFlow's Grappler optimizer phase, constant folding might attempt to deep copy a resource tensor. This results in a segfault, as these tensors are supposed to not change. 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. | |||||
| CVE-2021-41202 | 1 Google | 1 Tensorflow | 2021-11-09 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an open source platform for machine learning. In affected versions while calculating the size of the output within the `tf.range` kernel, there is a conditional statement of type `int64 = condition ? int64 : double`. Due to C++ implicit conversion rules, both branches of the condition will be cast to `double` and the result would be truncated before the assignment. This result in overflows. 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. | |||||
| CVE-2021-41198 | 1 Google | 1 Tensorflow | 2021-11-09 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an open source platform for machine learning. In affected versions if `tf.tile` is called with a large input argument then the TensorFlow process will crash due to a `CHECK`-failure caused by an overflow. The number of elements in the output tensor is too much for the `int64_t` type and the overflow is detected via a `CHECK` statement. This aborts the process. 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. | |||||
| CVE-2021-41197 | 1 Google | 1 Tensorflow | 2021-11-09 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an open source platform for machine learning. In affected versions TensorFlow allows tensor to have a large number of dimensions and each dimension can be as large as desired. However, the total number of elements in a tensor must fit within an `int64_t`. If an overflow occurs, `MultiplyWithoutOverflow` would return a negative result. In the majority of TensorFlow codebase this then results in a `CHECK`-failure. Newer constructs exist which return a `Status` instead of crashing the binary. This is similar to CVE-2021-29584. 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. | |||||
| CVE-2021-41196 | 1 Google | 1 Tensorflow | 2021-11-09 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an open source platform for machine learning. In affected versions the Keras pooling layers can trigger a segfault if the size of the pool is 0 or if a dimension is negative. This is due to the TensorFlow's implementation of pooling operations where the values in the sliding window are not checked to be strictly positive. 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. | |||||
| CVE-2021-41195 | 1 Google | 1 Tensorflow | 2021-11-09 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an open source platform for machine learning. In affected versions the implementation of `tf.math.segment_*` operations results in a `CHECK`-fail related abort (and denial of service) if a segment id in `segment_ids` is large. This is similar to CVE-2021-29584 (and similar other reported vulnerabilities in TensorFlow, localized to specific APIs): the implementation (both on CPU and GPU) computes the output shape using `AddDim`. However, if the number of elements in the tensor overflows an `int64_t` value, `AddDim` results in a `CHECK` failure which provokes a `std::abort`. Instead, code should use `AddDimWithStatus`. 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. | |||||
| CVE-2021-25500 | 2 Google, Samsung | 5 Android, Exynos 2100, Exynos 980 and 2 more | 2021-11-08 | 2.1 LOW | 4.4 MEDIUM |
| A missing input validation in HDCP LDFW prior to SMR Nov-2021 Release 1 allows attackers to overwrite TZASC allowing TEE compromise. | |||||
| CVE-2021-25502 | 1 Google | 1 Android | 2021-11-08 | 2.1 LOW | 5.5 MEDIUM |
| A vulnerability of storing sensitive information insecurely in Property Settings prior to SMR Nov-2021 Release 1 allows attackers to read ESN value without priviledge. | |||||
| CVE-2021-25503 | 2 Google, Samsung | 2 Android, Exynos | 2021-11-08 | 4.6 MEDIUM | 6.7 MEDIUM |
| Improper input validation vulnerability in HDCP prior to SMR Nov-2021 Release 1 allows attackers to arbitrary code execution. | |||||
| CVE-2020-16048 | 1 Google | 1 Angle | 2021-11-04 | 4.3 MEDIUM | 6.5 MEDIUM |
| Out of bounds read in ANGLE allowed a remote attacker to obtain sensitive data via a crafted HTML page. | |||||
| CVE-2018-6125 | 1 Google | 1 Chrome | 2021-11-04 | 4.3 MEDIUM | 6.5 MEDIUM |
| Insufficient policy enforcement in USB in Google Chrome on Windows prior to 67.0.3396.62 allowed a remote attacker to obtain potentially sensitive information via a crafted HTML page. | |||||
| CVE-2021-0651 | 1 Google | 1 Android | 2021-10-27 | 4.7 MEDIUM | 5.5 MEDIUM |
| In loadLabel of PackageItemInfo.java, there is a possible way to DoS a device by having a long label in an app due to incorrect input validation. This could lead to local denial of service with no additional execution privileges needed. User interaction is needed for exploitation.Product: AndroidVersions: Android-11 Android-9 Android-10Android ID: A-67013844 | |||||
| CVE-2021-0702 | 1 Google | 1 Android | 2021-10-26 | 1.9 LOW | 5.5 MEDIUM |
| In RevertActiveSessions of apexd.cpp, there is a possible way to share the wrong file due to an unintentional MediaStore downgrade. This could lead to local information disclosure with no additional execution privileges needed. User interaction is needed for exploitation.Product: AndroidVersions: Android-11Android ID: A-193932765 | |||||
| CVE-2021-0703 | 1 Google | 1 Android | 2021-10-26 | 7.2 HIGH | 6.8 MEDIUM |
| In SecondStageMain of init.cpp, there is a possible use after free due to incorrect shared_ptr usage. This could lead to local escalation of privilege if the attacker has physical access to the device, with no additional execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android-11Android ID: A-184569329 | |||||
| CVE-2021-0413 | 1 Google | 1 Android | 2021-10-26 | 2.1 LOW | 5.5 MEDIUM |
| In flv extractor, 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. Patch ID: ALPS05561379; Issue ID: ALPS05561379. | |||||
| CVE-2021-0412 | 1 Google | 1 Android | 2021-10-26 | 2.1 LOW | 5.5 MEDIUM |
| In flv extractor, 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. Patch ID: ALPS05561366; Issue ID: ALPS05561366. | |||||
| CVE-2021-0410 | 1 Google | 1 Android | 2021-10-26 | 2.1 LOW | 5.5 MEDIUM |
| In flv extractor, there is a possible out of bounds read due to an incorrect bounds check. This could lead to local information disclosure with no additional execution privileges needed. User interaction is not needed for exploitation. Patch ID: ALPS05561360; Issue ID: ALPS05561360. | |||||
| CVE-2021-0411 | 1 Google | 1 Android | 2021-10-26 | 2.1 LOW | 5.5 MEDIUM |
| In flv extractor, there is a possible out of bounds read due to an integer overflow. This could lead to local information disclosure with no additional execution privileges needed. User interaction is not needed for exploitation. Patch ID: ALPS05561362; Issue ID: ALPS05561362. | |||||
| CVE-2021-0409 | 1 Google | 1 Android | 2021-10-26 | 2.1 LOW | 5.5 MEDIUM |
| In flv extractor, there is a possible out of bounds read due to an incorrect bounds check. This could lead to local information disclosure with no additional execution privileges needed. User interaction is not needed for exploitation. Patch ID: ALPS05561359; Issue ID: ALPS05561359. | |||||
| CVE-2021-0615 | 1 Google | 1 Android | 2021-10-26 | 2.1 LOW | 5.5 MEDIUM |
| In flv extractor, there is a possible out of bounds read due to an integer overflow. This could lead to local information disclosure with no additional execution privileges needed. User interaction is not needed for exploitation. Patch ID: ALPS05561369; Issue ID: ALPS05561369. | |||||
| CVE-2021-0614 | 1 Google | 1 Android | 2021-10-26 | 2.1 LOW | 5.5 MEDIUM |
| In asf extractor, there is a possible out of bounds read due to an incorrect bounds check. This could lead to local information disclosure with no additional execution privileges needed. User interaction is not needed for exploitation. Patch ID: ALPS05495528; Issue ID: ALPS05495528. | |||||