Vulnerability · Published Sep 25, 2020 · Assigned by GitHub_M
CVE-2020-15199Denial of Service in Tensorflow
Medium 5.9
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 0.8% (higher than 57% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.
Official description
In Tensorflow before version 2.3.1, the `RaggedCountSparseOutput` does not validate that the input arguments form a valid ragged tensor. In particular, there is no validation that the `splits` tensor has the minimum required number of elements. Code uses this quantity to initialize a different data structure. Since `BatchedMap` is equivalent to a vector, it needs to have at least one element to not be `nullptr`. If user passes a `splits` tensor that is empty or has exactly one element, we get a `SIGABRT` signal raised by the operating system. 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-x5cp-9pcf-pp3h |
| PyPI | tensorflow | 2.3.1 | PYSEC-2020-122 |
| PyPI | tensorflow-cpu | 2.3.1 | GHSA-x5cp-9pcf-pp3h |
| PyPI | tensorflow-cpu | 2.3.1 | PYSEC-2020-279 |
| PyPI | tensorflow-gpu | 2.3.1 | GHSA-x5cp-9pcf-pp3h |
| PyPI | tensorflow-gpu | 2.3.1 | PYSEC-2020-314 |
Affected products (as reported)
| Vendor | Product | Versions |
|---|---|---|
| tensorflow | tensorflow | = 2.3.0 |
Weakness: CWE-20 · Vector: CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H