Bugzilla – Bug 1179928
VUL-0: CVE-2020-26271:tensorflow, tensorflow2: Loading a saved model can result in accessing uninitialized memory in the MakeEdge function
Last modified: 2024-03-28 13:48:01 UTC
CVE-2020-26271 In affected versions of TensorFlow under certain cases, loading a saved model can result in accessing uninitialized memory while building the computation graph. The MakeEdge function creates an edge between one output tensor of the src node (given by output_index) and the input slot of the dst node (given by input_index). This is only possible if the types of the tensors on both sides coincide, so the function begins by obtaining the corresponding DataType values and comparing these for equality. However, there is no check that the indices point to inside of the arrays they index into. Thus, this can result in accessing data out of bounds of the corresponding heap allocated arrays. In most scenarios, this can manifest as unitialized data access, but if the index points far away from the boundaries of the arrays this can be used to leak addresses from the library. This is fixed in versions 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2, and 2.4.0. Affects Leap 15.2 and Factory in both packages. Also tensorflow2 is in a lower version in Factory than in Leap, that shouldn't be the case References: http://web.nvd.nist.gov/view/vuln/detail?vulnId=CVE-2020-26271 https://github.com/tensorflow/tensorflow/security/advisories/GHSA-q263-fvxm-m5mw http://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-26271 https://github.com/tensorflow/tensorflow/commit/0cc38aaa4064fd9e79101994ce9872c6d91f816b
SR#856850 to devel repo fixes this
Tensorflow 2.7 is in factory (although doesn't build actually), so closing this one