Vulnerability · Published Aug 12, 2021 · Assigned by GitHub_M
CVE-2021-37686Infinite loop in TensorFlow Lite
Medium 5.5
In plain English
A medium-severity infinite loop 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 the strided slice implementation in TFLite has a logic bug which can allow an attacker to trigger an infinite loop. This arises from newly introduced support for [ellipsis in axis definition](https://github.com/tensorflow/tensorflow/blob/149562d49faa709ea80df1d99fc41d005b81082a/tensorflow/lite/kernels/strided_slice.cc#L103-L122). An attacker can craft a model such that `ellipsis_end_idx` is smaller than `i` (e.g., always negative). In this case, the inner loop does not increase `i` and the `continue` statement causes execution to skip over the preincrement at the end of the outer loop. We have patched the issue in GitHub commit dfa22b348b70bb89d6d6ec0ff53973bacb4f4695. TensorFlow 2.6.0 is the only affected version.
Affected packages & fixed versions
| Ecosystem | Package | Fixed in | Advisory |
|---|---|---|---|
| PyPI | tensorflow | 2.6.0rc2 | GHSA-mhhc-q96p-mfm9 |
| PyPI | tensorflow | 2.3.4, 2.4.3 | PYSEC-2021-308 |
| PyPI | tensorflow-cpu | 2.6.0rc2 | GHSA-mhhc-q96p-mfm9 |
| PyPI | tensorflow-cpu | 2.3.4, 2.4.3 | PYSEC-2021-599 |
| PyPI | tensorflow-gpu | 2.6.0rc2 | GHSA-mhhc-q96p-mfm9 |
| PyPI | tensorflow-gpu | 2.3.4, 2.4.3 | PYSEC-2021-797 |
Affected products (as reported)
| Vendor | Product | Versions |
|---|---|---|
| tensorflow | tensorflow | >= 2.6.0rc0, < 2.6.0rc2 |
Weakness: CWE-835 · Vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H