Vulnerability · Published Sep 16, 2022 · Assigned by GitHub_M
CVE-2022-36011Null dereference on MLIR on empty function attributes in TensorFlow
Medium 5.9
In plain English
A medium-severity null pointer dereference in tensorflow from tensorflow. There are no confirmed reports of exploitation so far. The chance it is exploited in the next 30 days is estimated at 0.5% (higher than 41% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.
Official description
TensorFlow is an open source platform for machine learning. When `mlir::tfg::ConvertGenericFunctionToFunctionDef` is given empty function attributes, it gives a null dereference. We have patched the issue in GitHub commit 1cf45b831eeb0cab8655c9c7c5d06ec6f45fc41b. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.
Affected packages & fixed versions
| Ecosystem | Package | Fixed in | Advisory |
|---|---|---|---|
| PyPI | tensorflow | 2.7.2, 2.8.1, 2.9.1 | PYSEC-2026-3180 |
| PyPI | tensorflow | 2.7.2 | GHSA-fv43-93gv-vm8f |
| PyPI | tensorflow | 2.8.1 | GHSA-fv43-93gv-vm8f |
| PyPI | tensorflow | 2.9.1 | GHSA-fv43-93gv-vm8f |
| PyPI | tensorflow-cpu | 2.8.1 | GHSA-fv43-93gv-vm8f |
| PyPI | tensorflow-cpu | 2.7.2, 2.8.1, 2.9.1 | PYSEC-2026-3325 |
| PyPI | tensorflow-cpu | 2.7.2 | GHSA-fv43-93gv-vm8f |
| PyPI | tensorflow-cpu | 2.9.1 | GHSA-fv43-93gv-vm8f |
| PyPI | tensorflow-gpu | 2.7.2, 2.8.1, 2.9.1 | PYSEC-2026-994 |
| PyPI | tensorflow-gpu | 2.7.2 | GHSA-fv43-93gv-vm8f |
| PyPI | tensorflow-gpu | 2.8.1 | GHSA-fv43-93gv-vm8f |
| PyPI | tensorflow-gpu | 2.9.1 | GHSA-fv43-93gv-vm8f |
Affected products (as reported)
| Vendor | Product | Versions |
|---|---|---|
| tensorflow | tensorflow | < 2.7.2>= 2.8.0, < 2.8.1>= 2.9.0, < 2.9.1 |
Weakness: CWE-476 · Vector: CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H