Uninitialized memory access in Eigen types 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- Where the record stands: published, rejected by its publisher, or superseded by another id.What do these mean?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 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2
- 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
In affected versions of TensorFlow under certain cases a saved model can trigger use of uninitialized values during code execution. This is caused by having tensor buffers be filled with the default value of the type but forgetting to default initialize the quantized floating point types in Eigen. This is fixed in versions 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2, and 2.4.0.
Timeline
- CVE published
- Record last updated
Affected versions
- tensorflow tensorflow
fixed in 1.15.5; From 2.0.0 · fixed in 2.0.4; From 2.1.0 · fixed in 2.1.3; From 2.2.0 · fixed in 2.2.2; From 2.3.0 · fixed in 2.3.2
- tensorflow-gpuPyPI
fixed in 1.15.5; From 2.0.0 · fixed in 2.0.4; From 2.1.0 · fixed in 2.1.3; From 2.2.0 · fixed in 2.2.2; From 2.3.0 · fixed in 2.3.2
- tensorflow-cpuPyPI
fixed in 1.15.5; From 2.0.0 · fixed in 2.0.4; From 2.1.0 · fixed in 2.1.3; From 2.2.0 · fixed in 2.2.2; From 2.3.0 · fixed in 2.3.2
- tensorflowPyPI
fixed in 1.15.5; From 2.0.0 · fixed in 2.0.4; From 2.1.0 · fixed in 2.1.3; From 2.2.0 · fixed in 2.2.2; From 2.3.0 · fixed in 2.3.2
- tensorflowPyPI
fixed in 1.15.5
- tensorflowPyPI
From 2.0.0 · fixed in 2.0.4
- tensorflowPyPI
From 2.1.0 · fixed in 2.1.3
- tensorflowPyPI
From 2.2.0 · fixed in 2.2.2
- tensorflowPyPI
From 2.3.0 · fixed in 2.3.2
- tensorflow-cpuPyPI
fixed in 1.15.5
- tensorflow-cpuPyPI
From 2.0.0 · fixed in 2.0.4
- tensorflow-cpuPyPI
From 2.1.0 · fixed in 2.1.3
- tensorflow-cpuPyPI
From 2.2.0 · fixed in 2.2.2
- tensorflow-cpuPyPI
From 2.3.0 · fixed in 2.3.2
- tensorflow-gpuPyPI
fixed in 1.15.5
- tensorflow-gpuPyPI
From 2.0.0 · fixed in 2.0.4
- tensorflow-gpuPyPI
From 2.1.0 · fixed in 2.1.3
- tensorflow-gpuPyPI
From 2.2.0 · fixed in 2.2.2
- tensorflow-gpuPyPI
From 2.3.0 · fixed in 2.3.2