CVSS: 7.8EPSS: 0%CPEs: 4EXPL: 1CVE-2021-29591 – Stack overflow due to looping TFLite subgraph
https://notcve.org/view.php?id=CVE-2021-29591
TensorFlow is an end-to-end open source platform for machine learning. TFlite graphs must not have loops between nodes. However, this condition was not checked and an attacker could craft models that would result in infinite loop during evaluation. In certain cases, the infinite loop would be replaced by stack overflow due to too many recursive calls. For example, the `While` implementation(https://github.com/tensorflow/tensorflow/blob/106d8f4fb89335a2c52d7c895b7a7485465ca8d9/tensorflow/lite/kernels/while.cc) could be tricked into a scneario where both the body and the loop subgraphs are the same. • https://github.com/tensorflow/tensorflow/commit/9c1dc920d8ffb4893d6c9d27d1f039607b326743 https://github.com/tensorflow/tensorflow/commit/c6173f5fe66cdbab74f4f869311fe6aae2ba35f4 https://github.com/tensorflow/tensorflow/security/advisories/GHSA-cwv3-863g-39vx • CWE-674: Uncontrolled Recursion CWE-835: Loop with Unreachable Exit Condition ('Infinite Loop') •
CVSS: 7.8EPSS: 0%CPEs: 4EXPL: 1CVE-2021-29592 – Null pointer dereference in TFLite's `Reshape` operator
https://notcve.org/view.php?id=CVE-2021-29592
TensorFlow is an end-to-end open source platform for machine learning. The fix for CVE-2020-15209(https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15209) missed the case when the target shape of `Reshape` operator is given by the elements of a 1-D tensor. As such, the fix for the vulnerability(https://github.com/tensorflow/tensorflow/blob/9c1dc920d8ffb4893d6c9d27d1f039607b326743/tensorflow/lite/core/subgraph.cc#L1062-L1074) allowed passing a null-buffer-backed tensor with a 1D shape. The fix will be included in TensorFlow 2.5.0. • https://github.com/tensorflow/tensorflow/commit/f8378920345f4f4604202d4ab15ef64b2aceaa16 https://github.com/tensorflow/tensorflow/security/advisories/GHSA-jjr8-m8g8-p6wv • CWE-476: NULL Pointer Dereference •
CVSS: 7.8EPSS: 0%CPEs: 4EXPL: 1CVE-2021-29593 – Division by zero in TFLite's implementation of `BatchToSpaceNd`
https://notcve.org/view.php?id=CVE-2021-29593
TensorFlow is an end-to-end open source platform for machine learning. The implementation of the `BatchToSpaceNd` TFLite operator is vulnerable to a division by zero error(https://github.com/tensorflow/tensorflow/blob/b5ed552fe55895aee8bd8b191f744a069957d18d/tensorflow/lite/kernels/batch_to_space_nd.cc#L81-L82). An attacker can craft a model such that one dimension of the `block` input is 0. Hence, the corresponding value in `block_shape` is 0. The fix will be included in TensorFlow 2.5.0. • https://github.com/tensorflow/tensorflow/commit/2c74674348a4708ced58ad6eb1b23354df8ee044 https://github.com/tensorflow/tensorflow/security/advisories/GHSA-cfx7-2xpc-8w4h • CWE-369: Divide By Zero •
CVSS: 7.8EPSS: 0%CPEs: 4EXPL: 1CVE-2021-29594 – Division by zero in TFLite's convolution code
https://notcve.org/view.php?id=CVE-2021-29594
TensorFlow is an end-to-end open source platform for machine learning. TFLite's convolution code(https://github.com/tensorflow/tensorflow/blob/09c73bca7d648e961dd05898292d91a8322a9d45/tensorflow/lite/kernels/conv.cc) has multiple division where the divisor is controlled by the user and not checked to be non-zero. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range. TensorFlow es una plataforma de código abierto de extremo a extremo para el aprendizaje automático. • https://github.com/tensorflow/tensorflow/commit/ff489d95a9006be080ad14feb378f2b4dac35552 https://github.com/tensorflow/tensorflow/security/advisories/GHSA-3qgw-p4fm-x7gf • CWE-369: Divide By Zero •
CVSS: 7.8EPSS: 0%CPEs: 4EXPL: 1CVE-2021-29595 – Division by zero in TFLite's implementation of `DepthToSpace`
https://notcve.org/view.php?id=CVE-2021-29595
TensorFlow is an end-to-end open source platform for machine learning. The implementation of the `DepthToSpace` TFLite operator is vulnerable to a division by zero error(https://github.com/tensorflow/tensorflow/blob/0d45ea1ca641b21b73bcf9c00e0179cda284e7e7/tensorflow/lite/kernels/depth_to_space.cc#L63-L69). An attacker can craft a model such that `params->block_size` is 0. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range. • https://github.com/tensorflow/tensorflow/commit/106d8f4fb89335a2c52d7c895b7a7485465ca8d9 https://github.com/tensorflow/tensorflow/security/advisories/GHSA-vf94-36g5-69v8 • CWE-369: Divide By Zero •