Overflow in `tf.keras.losses.poisson` 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- Where the record stands: published, rejected by its publisher, or superseded by another id.What do these mean?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 2.10.1, 2.9.3
- 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 platform for machine learning. `tf.keras.losses.poisson` receives a `y_pred` and `y_true` that are passed through `functor::mul` in `BinaryOp`. If the resulting dimensions overflow an `int32`, TensorFlow will crash due to a size mismatch during broadcast assignment. We have patched the issue in GitHub commit c5b30379ba87cbe774b08ac50c1f6d36df4ebb7c. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1 and 2.9.3, as these are also affected and still in supported range. However, we will not cherrypick this commit into TensorFlow 2.8.x, as it depends on Eigen behavior that changed between 2.8 and 2.9.
Timeline
- CVE published
- CISA SSVC assessment
Exploitation: poc · Automatable: no · Technical impact: partial
- Record last updated
Affected versions
- tensorflow tensorflow
From 2.10.0 · fixed in 2.10.1; fixed in 2.9.3
- tensorflow-gpuPyPI
fixed in 2.9.3; From 2.10.0 · fixed in 2.10.1
- tensorflowPyPI
fixed in 2.9.3
- tensorflowPyPI
From 2.10.0 · fixed in 2.10.1
- tensorflow-cpuPyPI
fixed in 2.9.3
- tensorflow-gpuPyPI
fixed in 2.9.3
- tensorflow-cpuPyPI
From 2.10.0 · fixed in 2.10.1
- tensorflow-gpuPyPI
From 2.10.0 · fixed in 2.10.1
- tensorflow-cpuPyPI
fixed in 2.9.3; From 2.10.0 · fixed in 2.10.1
- tensorflowPyPI
fixed in 2.9.3; From 2.10.0 · fixed in 2.10.1