Vulnerability · Published Sep 25, 2020 · Assigned by GitHub_M
CVE-2020-15201Heap buffer overflow in Tensorflow
Medium 4.8
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 0.6% (higher than 47% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.
Official description
In Tensorflow before version 2.3.1, the `RaggedCountSparseOutput` implementation does not validate that the input arguments form a valid ragged tensor. In particular, there is no validation that the values in the `splits` tensor generate a valid partitioning of the `values` tensor. Hence, the code is prone to heap buffer overflow. If `split_values` does not end with a value at least `num_values` then the `while` loop condition will trigger a read outside of the bounds of `split_values` once `batch_idx` grows too large. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1.
Affected packages & fixed versions
| Ecosystem | Package | Fixed in | Advisory |
|---|---|---|---|
| PyPI | tensorflow | 2.3.1 | GHSA-p5f8-gfw5-33w4 |
| PyPI | tensorflow | 2.3.1 | PYSEC-2020-124 |
| PyPI | tensorflow-cpu | 2.3.1 | GHSA-p5f8-gfw5-33w4 |
| PyPI | tensorflow-cpu | 2.3.1 | PYSEC-2020-281 |
| PyPI | tensorflow-gpu | 2.3.1 | GHSA-p5f8-gfw5-33w4 |
| PyPI | tensorflow-gpu | 2.3.1 | PYSEC-2020-316 |
Affected products (as reported)
| Vendor | Product | Versions |
|---|---|---|
| tensorflow | tensorflow | = 2.3.0 |
Weakness: CWE-20, CWE-122 · Vector: CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:L/A:N