A use of uninitialized value vulnerability in Tensorflow
- 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- Where the record stands: published, rejected by its publisher, or superseded by another id.What do these mean?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 2.6.1, 2.5.2, 2.4.4, 2.7.0
- 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 open source platform for machine learning. In affected versions TensorFlow's Grappler optimizer has a use of unitialized variable. If the `train_nodes` vector (obtained from the saved model that gets optimized) does not contain a `Dequeue` node, then `dequeue_node` is left unitialized. 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.
Timeline
- CVE published
- Record last updated
Affected versions
- tensorflow tensorflow
From 2.6.0 · fixed in 2.6.1; From 2.5.0 · fixed in 2.5.2; fixed in 2.4.4
- tensorflow-cpuPyPI
fixed in 2.4.4; From 2.5.0 · fixed in 2.5.2; From 2.6.0 · fixed in 2.6.1; From 2.7.0rc0 · fixed in 2.7.0
- tensorflow-gpuPyPI
fixed in 2.4.4; From 2.5.0 · fixed in 2.5.2; From 2.6.0 · fixed in 2.6.1; From 2.7.0rc0 · fixed in 2.7.0
- tensorflowPyPI
fixed in 2.4.4; From 2.5.0 · fixed in 2.5.2; From 2.6.0 · fixed in 2.6.1; From 2.7.0rc0 · fixed in 2.7.0
- tensorflowPyPI
From 2.6.0 · fixed in 2.6.1
- tensorflowPyPI
From 2.5.0 · fixed in 2.5.2
- tensorflowPyPI
fixed in 2.4.4
- tensorflow-cpuPyPI
From 2.6.0 · fixed in 2.6.1
- tensorflow-cpuPyPI
From 2.5.0 · fixed in 2.5.2
- tensorflow-cpuPyPI
fixed in 2.4.4
- tensorflow-gpuPyPI
From 2.6.0 · fixed in 2.6.1
- tensorflow-gpuPyPI
From 2.5.0 · fixed in 2.5.2
- tensorflow-gpuPyPI
fixed in 2.4.4