Integer overflow 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- Where the record stands: published, rejected by its publisher, or superseded by another id.What do these mean?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 2.7.1, 2.6.3, 2.5.3
- 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
- Exploitation: poc
- Automatable: no
- Technical impact: partial
Summary
Tensorflow is an Open Source Machine Learning Framework. The implementation of `OpLevelCostEstimator::CalculateOutputSize` is vulnerable to an integer overflow if an attacker can create an operation which would involve tensors with large enough number of elements. We can have a large enough number of dimensions in `output_shape.dim()` or just a small number of dimensions being large enough to cause an overflow in the multiplication. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
Timeline
- CVE published
- CISA SSVC assessment
Exploitation: poc · Automatable: no · Technical impact: partial
- Record last updated
Affected versions
- tensorflow tensorflow
From 2.7.0 · fixed in 2.7.1; From 2.6.0 · fixed in 2.6.3; fixed in 2.5.3
- tensorflowPyPI
fixed in 2.5.3
- tensorflowPyPI
From 2.6.0 · fixed in 2.6.3
- tensorflowPyPI
From 2.7.0 · fixed in 2.7.1
- tensorflow-cpuPyPI
fixed in 2.5.3
- tensorflow-cpuPyPI
From 2.6.0 · fixed in 2.6.3
- tensorflow-cpuPyPI
From 2.7.0 · fixed in 2.7.1
- tensorflow-gpuPyPI
fixed in 2.5.3
- tensorflow-gpuPyPI
From 2.6.0 · fixed in 2.6.3
- tensorflow-gpuPyPI
From 2.7.0 · fixed in 2.7.1
- tensorflow-cpuPyPI
fixed in 2.5.3; From 2.6.0 · fixed in 2.6.3
- tensorflowPyPI
fixed in 2.5.3; From 2.6.0 · fixed in 2.6.3; From 2.7.0 · fixed in 2.7.1
- tensorflow-gpuPyPI
fixed in 2.5.3; From 2.6.0 · fixed in 2.6.3