Incomplete validation in `SparseSparseMinimum`
- Published
- Last modified
- Where the record stands: published, rejected by its publisher, or superseded by another id.What do these mean? →
- published
- Whether CISA lists it in its Known Exploited Vulnerabilities catalog: proof that attackers are using it.What do these mean? →
- Not listed in CISA KEV
- Fix
- Fixed in 2.1.4, 2.2.3, 2.3.3, 2.4.2
- Whether working attack code is public (Exploit-DB, Metasploit, Nuclei or GitHub). Public code makes attacks easier.What do these mean? →
- None on Exploit-DB, Metasploit or GitHub
Summary
TensorFlow is an end-to-end open source platform for machine learning. Incomplete validation in `SparseAdd` results in allowing attackers to exploit undefined behavior (dereferencing null pointers) as well as write outside of bounds of heap allocated data. The implementation(https://github.com/tensorflow/tensorflow/blob/656e7673b14acd7835dc778867f84916c6d1cac2/tensorflow/core/kernels/sparse_sparse_binary_op_shared.cc) has a large set of validation for the two sparse tensor inputs (6 tensors in total), but does not validate that the tensors are not empty or that the second dimension of `*_indices` matches the size of corresponding `*_shape`. This allows attackers to send tensor triples that represent invalid sparse tensors to abuse code assumptions that are not protected by validation. 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.
Timeline
- CVE published
- Record last updated
Affected versions
- tensorflow tensorflow
fixed in 2.1.4; From 2.2.0 · fixed in 2.2.3; From 2.3.0 · fixed in 2.3.3; From 2.4.0 · fixed in 2.4.2
- tensorflowPyPI
fixed in 2.1.4; From 2.2.0 · fixed in 2.2.3; From 2.3.0 · fixed in 2.3.3; From 2.4.0 · fixed in 2.4.2
- tensorflowPyPI
fixed in 2.1.4
- tensorflowPyPI
From 2.2.0 · fixed in 2.2.3
- tensorflowPyPI
From 2.3.0 · fixed in 2.3.3
- tensorflowPyPI
From 2.4.0 · fixed in 2.4.2
- tensorflow-cpuPyPI
fixed in 2.1.4
- tensorflow-cpuPyPI
From 2.2.0 · fixed in 2.2.3
- tensorflow-cpuPyPI
From 2.3.0 · fixed in 2.3.3
- tensorflow-cpuPyPI
From 2.4.0 · fixed in 2.4.2
- tensorflow-gpuPyPI
fixed in 2.1.4
- tensorflow-gpuPyPI
From 2.2.0 · fixed in 2.2.3
- tensorflow-gpuPyPI
From 2.3.0 · fixed in 2.3.3
- tensorflow-gpuPyPI
From 2.4.0 · fixed in 2.4.2
- tensorflow-gpuPyPI
fixed in 2.1.4; From 2.2.0 · fixed in 2.2.3; From 2.3.0 · fixed in 2.3.3; From 2.4.0 · fixed in 2.4.2
- tensorflow-cpuPyPI
fixed in 2.1.4; From 2.2.0 · fixed in 2.2.3; From 2.3.0 · fixed in 2.3.3; From 2.4.0 · fixed in 2.4.2