Vulnerabilities (CVE)

Filtered by vendor Google Subscribe
Total 12852 CVE
CVE Vendors Products Updated CVSS v2 CVSS v3
CVE-2021-41208 1 Google 1 Tensorflow 2024-11-21 4.6 MEDIUM 8.8 HIGH
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.
CVE-2021-41207 1 Google 1 Tensorflow 2024-11-21 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-2021-41206 1 Google 1 Tensorflow 2024-11-21 4.6 MEDIUM 7.0 HIGH
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.
CVE-2021-41205 1 Google 1 Tensorflow 2024-11-21 3.6 LOW 7.1 HIGH
TensorFlow is an open source platform for machine learning. In affected versions the shape inference functions for the `QuantizeAndDequantizeV*` operations can trigger a read outside of bounds of heap allocated array. 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 2024-11-21 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-2021-41203 1 Google 1 Tensorflow 2024-11-21 4.6 MEDIUM 7.8 HIGH
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.
CVE-2021-41202 1 Google 1 Tensorflow 2024-11-21 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-2021-41201 1 Google 1 Tensorflow 2024-11-21 4.6 MEDIUM 7.8 HIGH
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.
CVE-2021-41200 1 Google 1 Tensorflow 2024-11-21 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 2024-11-21 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-2021-41198 1 Google 1 Tensorflow 2024-11-21 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 2024-11-21 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 2024-11-21 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 2024-11-21 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-2021-41130 1 Google 1 Extensible Service Proxy 2024-11-21 4.9 MEDIUM 6.4 MEDIUM
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.
CVE-2021-40724 2 Adobe, Google 2 Acrobat Reader, Android 2024-11-21 6.8 MEDIUM 7.8 HIGH
Acrobat Reader for Android versions 21.8.0 (and earlier) are affected by a Path traversal vulnerability. An unauthenticated attacker could leverage this vulnerability to achieve arbitrary code execution in the context of the current user. Exploitation of this issue requires user interaction in that a victim must open a malicious file.
CVE-2021-3189 1 Google 1 Slashify 2024-11-21 5.8 MEDIUM 6.1 MEDIUM
The slashify package 1.0.0 for Node.js allows open-redirect attacks, as demonstrated by a localhost:3000///example.com/ substring.
CVE-2021-3022 1 Google 1 Android 2024-11-21 2.1 LOW 5.5 MEDIUM
An issue was discovered on LG mobile devices with Android OS 10 software. There was no write protection for the MTK protect2 partition. The LG ID is LVE-SMP-200028 (January 2021).
CVE-2021-3011 4 Ftsafe, Google, Nxp and 1 more 45 K13, K21, K40 and 42 more 2024-11-21 1.9 LOW 4.2 MEDIUM
An electromagnetic-wave side-channel issue was discovered on NXP SmartMX / P5x security microcontrollers and A7x secure authentication microcontrollers, with CryptoLib through v2.9. It allows attackers to extract the ECDSA private key after extensive physical access (and consequently produce a clone). This was demonstrated on the Google Titan Security Key, based on an NXP A7005a chip. Other FIDO U2F security keys are also impacted (Yubico YubiKey Neo and Feitian K9, K13, K21, and K40) as well as several NXP JavaCard smartcards (J3A081, J2A081, J3A041, J3D145_M59, J2D145_M59, J3D120_M60, J3D082_M60, J2D120_M60, J2D082_M60, J3D081_M59, J2D081_M59, J3D081_M61, J2D081_M61, J3D081_M59_DF, J3D081_M61_DF, J3E081_M64, J3E081_M66, J2E081_M64, J3E041_M66, J3E016_M66, J3E016_M64, J3E041_M64, J3E145_M64, J3E120_M65, J3E082_M65, J2E145_M64, J2E120_M65, J2E082_M65, J3E081_M64_DF, J3E081_M66_DF, J3E041_M66_DF, J3E016_M66_DF, J3E041_M64_DF, and J3E016_M64_DF).
CVE-2021-39815 1 Google 1 Android 2024-11-21 N/A 9.8 CRITICAL
The PowerVR GPU driver allows unprivileged apps to allocated pinned memory, unpin it (which makes it available to be freed), and continue using the page in GPU calls. No privileges required and this results in kernel memory corruption.Product: AndroidVersions: Android SoCAndroid ID: A-232440670