CVSS: 7.8EPSS: 0%CPEs: 4EXPL: 1CVE-2021-29600 – Division by zero in TFLite's implementation of `OneHot`
https://notcve.org/view.php?id=CVE-2021-29600
TensorFlow is an end-to-end open source platform for machine learning. The implementation of the `OneHot` TFLite operator is vulnerable to a division by zero error(https://github.com/tensorflow/tensorflow/blob/f61c57bd425878be108ec787f4d96390579fb83e/tensorflow/lite/kernels/one_hot.cc#L68-L72). An attacker can craft a model such that at least one of the dimensions of `indices` would be 0. In turn, the `prefix_dim_size` value would become 0. The fix will be included in TensorFlow 2.5.0. • https://github.com/tensorflow/tensorflow/commit/3ebedd7e345453d68e279cfc3e4072648e5e12e5 https://github.com/tensorflow/tensorflow/security/advisories/GHSA-j8qh-3xrq-c825 • CWE-369: Divide By Zero •
CVSS: 7.1EPSS: 0%CPEs: 4EXPL: 1CVE-2021-29601 – Integer overflow in TFLite concatentation
https://notcve.org/view.php?id=CVE-2021-29601
TensorFlow is an end-to-end open source platform for machine learning. The TFLite implementation of concatenation is vulnerable to an integer overflow issue(https://github.com/tensorflow/tensorflow/blob/7b7352a724b690b11bfaae2cd54bc3907daf6285/tensorflow/lite/kernels/concatenation.cc#L70-L76). An attacker can craft a model such that the dimensions of one of the concatenation input overflow the values of `int`. TFLite uses `int` to represent tensor dimensions, whereas TF uses `int64`. Hence, valid TF models can trigger an integer overflow when converted to TFLite format. • https://github.com/tensorflow/tensorflow/commit/4253f96a58486ffe84b61c0415bb234a4632ee73 https://github.com/tensorflow/tensorflow/security/advisories/GHSA-9c84-4hx6-xmm4 • CWE-190: Integer Overflow or Wraparound •
CVSS: 5.5EPSS: 0%CPEs: 4EXPL: 1CVE-2021-29602 – Division by zero in TFLite's implementation of `DepthwiseConv`
https://notcve.org/view.php?id=CVE-2021-29602
TensorFlow is an end-to-end open source platform for machine learning. The implementation of the `DepthwiseConv` TFLite operator is vulnerable to a division by zero error(https://github.com/tensorflow/tensorflow/blob/1a8e885b864c818198a5b2c0cbbeca5a1e833bc8/tensorflow/lite/kernels/depthwise_conv.cc#L287-L288). An attacker can craft a model such that `input`'s fourth dimension would be 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/cbda3c6b2dbbd3fbdc482ff8c0170a78ec2e97d0 https://github.com/tensorflow/tensorflow/security/advisories/GHSA-rf3h-xgv5-2q39 • CWE-369: Divide By Zero •
CVSS: 7.8EPSS: 0%CPEs: 4EXPL: 1CVE-2021-29603 – Heap OOB write in TFLite
https://notcve.org/view.php?id=CVE-2021-29603
TensorFlow is an end-to-end open source platform for machine learning. A specially crafted TFLite model could trigger an OOB write on heap in the TFLite implementation of `ArgMin`/`ArgMax`(https://github.com/tensorflow/tensorflow/blob/102b211d892f3abc14f845a72047809b39cc65ab/tensorflow/lite/kernels/arg_min_max.cc#L52-L59). If `axis_value` is not a value between 0 and `NumDimensions(input)`, then the condition in the `if` is never true, so code writes past the last valid element of `output_dims->data`. 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/c59c37e7b2d563967da813fa50fe20b21f4da683 https://github.com/tensorflow/tensorflow/security/advisories/GHSA-crch-j389-5f84 • CWE-787: Out-of-bounds Write •
CVSS: 5.5EPSS: 0%CPEs: 4EXPL: 1CVE-2021-29604 – Division by zero in TFLite's implementation of hashtable lookup
https://notcve.org/view.php?id=CVE-2021-29604
TensorFlow is an end-to-end open source platform for machine learning. The TFLite implementation of hashtable lookup is vulnerable to a division by zero error(https://github.com/tensorflow/tensorflow/blob/1a8e885b864c818198a5b2c0cbbeca5a1e833bc8/tensorflow/lite/kernels/hashtable_lookup.cc#L114-L115) An attacker can craft a model such that `values`'s first dimension would be 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. TensorFlow es una plataforma de código abierto de extremo a extremo para el aprendizaje automático. • https://github.com/tensorflow/tensorflow/commit/5117e0851348065ed59c991562c0ec80d9193db2 https://github.com/tensorflow/tensorflow/security/advisories/GHSA-8rm6-75mf-7r7r • CWE-369: Divide By Zero •