Read and Write outside of bounds in TFLite
- 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- Where the record stands: published, rejected by its publisher, or superseded by another id.What do these mean?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: total
Summary
Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would allow limited reads and writes outside of arrays in TFLite. This exploits missing validation in the conversion from sparse tensors to dense tensors. The fix is 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. Users are advised to upgrade as soon as possible.
Timeline
- CVE published
- CISA SSVC assessment
Exploitation: poc · Automatable: no · Technical impact: total
- 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
- 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
- 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-gpuPyPI
fixed in 2.5.3; From 2.6.0 · fixed in 2.6.3