Vulnerability · Published Aug 12, 2021 · Assigned by GitHub_M
CVE-2021-37692Segfault on strings tensors with mistmatched dimensions in TensorFlow
Medium 5.5
In plain English
A medium-severity improper input validation 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 0.2% (higher than 7% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.
Official description
TensorFlow is an end-to-end open source platform for machine learning. In affected versions under certain conditions, Go code can trigger a segfault in string deallocation. For string tensors, `C.TF_TString_Dealloc` is called during garbage collection within a finalizer function. However, tensor structure isn't checked until encoding to avoid a performance penalty. The current method for dealloc assumes that encoding succeeded, but segfaults when a string tensor is garbage collected whose encoding failed (e.g., due to mismatched dimensions). To fix this, the call to set the finalizer function is deferred until `NewTensor` returns and, if encoding failed for a string tensor, deallocs are determined based on bytes written. We have patched the issue in GitHub commit 8721ba96e5760c229217b594f6d2ba332beedf22. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, which is the other affected version.
Affected packages & fixed versions
| Ecosystem | Package | Fixed in | Advisory |
|---|---|---|---|
| PyPI | tensorflow | 2.5.1 | GHSA-cmgw-8vpc-rc59 |
| PyPI | tensorflow | 2.3.4, 2.4.3 | PYSEC-2021-314 |
| PyPI | tensorflow-cpu | 2.5.1 | GHSA-cmgw-8vpc-rc59 |
| PyPI | tensorflow-cpu | 2.3.4, 2.4.3 | PYSEC-2021-605 |
| PyPI | tensorflow-gpu | 2.5.1 | GHSA-cmgw-8vpc-rc59 |
| PyPI | tensorflow-gpu | 2.3.4, 2.4.3 | PYSEC-2021-803 |
Affected products (as reported)
| Vendor | Product | Versions |
|---|---|---|
| tensorflow | tensorflow | >= 2.5.0, < 2.5.1 |
Weakness: CWE-20 · Vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H