Vulnerability · Published May 14, 2021 · Assigned by GitHub_M
CVE-2021-29542Heap buffer overflow in `StringNGrams`
Low 2.5
In plain English
A low-severity security flaw 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 10% 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. An attacker can cause a heap buffer overflow by passing crafted inputs to `tf.raw_ops.StringNGrams`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/1cdd4da14282210cc759e468d9781741ac7d01bf/tensorflow/core/kernels/string_ngrams_op.cc#L171-L185) fails to consider corner cases where input would be split in such a way that the generated tokens should only contain padding elements. If input is such that `num_tokens` is 0, then, for `data_start_index=0` (when left padding is present), the marked line would result in reading `data[-1]`. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
Affected packages & fixed versions
| Ecosystem | Package | Fixed in | Advisory |
|---|---|---|---|
| PyPI | tensorflow | 2.3.3 | GHSA-4hrh-9vmp-2jgg |
| PyPI | tensorflow | 2.4.2 | GHSA-4hrh-9vmp-2jgg |
| PyPI | tensorflow | 2.1.4 | GHSA-4hrh-9vmp-2jgg |
| PyPI | tensorflow | 2.1.4, 2.2.3, 2.3.3, 2.4.2 | PYSEC-2021-179 |
| PyPI | tensorflow | 2.2.3 | GHSA-4hrh-9vmp-2jgg |
| PyPI | tensorflow-cpu | 2.4.2 | GHSA-4hrh-9vmp-2jgg |
| PyPI | tensorflow-cpu | 2.1.4 | GHSA-4hrh-9vmp-2jgg |
| PyPI | tensorflow-cpu | 2.2.3 | GHSA-4hrh-9vmp-2jgg |
| PyPI | tensorflow-cpu | 2.3.3 | GHSA-4hrh-9vmp-2jgg |
| PyPI | tensorflow-cpu | 2.1.4, 2.2.3, 2.3.3, 2.4.2 | PYSEC-2021-470 |
| PyPI | tensorflow-gpu | 2.3.3 | GHSA-4hrh-9vmp-2jgg |
| PyPI | tensorflow-gpu | 2.4.2 | GHSA-4hrh-9vmp-2jgg |
| PyPI | tensorflow-gpu | 2.1.4 | GHSA-4hrh-9vmp-2jgg |
| PyPI | tensorflow-gpu | 2.1.4, 2.2.3, 2.3.3, 2.4.2 | PYSEC-2021-668 |
| PyPI | tensorflow-gpu | 2.2.3 | GHSA-4hrh-9vmp-2jgg |
Affected products (as reported)
| Vendor | Product | Versions |
|---|---|---|
| tensorflow | tensorflow | < 2.1.4>= 2.2.0, < 2.2.3>= 2.3.0, < 2.3.3>= 2.4.0, < 2.4.2 |
Weakness: CWE-131 · Vector: CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L