Vulnerability · Published May 14, 2021 · Assigned by GitHub_M
CVE-2021-29541Null pointer dereference in `StringNGrams`
Low 2.5
In plain English
A low-severity null pointer dereference 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 9% 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 trigger a dereference of a null pointer in `tf.raw_ops.StringNGrams`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/1cdd4da14282210cc759e468d9781741ac7d01bf/tensorflow/core/kernels/string_ngrams_op.cc#L67-L74) does not fully validate the `data_splits` argument. This would result in `ngrams_data`(https://github.com/tensorflow/tensorflow/blob/1cdd4da14282210cc759e468d9781741ac7d01bf/tensorflow/core/kernels/string_ngrams_op.cc#L106-L110) to be a null pointer when the output would be computed to have 0 or negative size. Later writes to the output tensor would then cause a null pointer dereference. 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-xqfj-35wv-m3cr |
| PyPI | tensorflow | 2.4.2 | GHSA-xqfj-35wv-m3cr |
| PyPI | tensorflow | 2.1.4 | GHSA-xqfj-35wv-m3cr |
| PyPI | tensorflow | 2.1.4, 2.2.3, 2.3.3, 2.4.2 | PYSEC-2021-178 |
| PyPI | tensorflow | 2.2.3 | GHSA-xqfj-35wv-m3cr |
| PyPI | tensorflow-cpu | 2.4.2 | GHSA-xqfj-35wv-m3cr |
| PyPI | tensorflow-cpu | 2.1.4 | GHSA-xqfj-35wv-m3cr |
| PyPI | tensorflow-cpu | 2.2.3 | GHSA-xqfj-35wv-m3cr |
| PyPI | tensorflow-cpu | 2.3.3 | GHSA-xqfj-35wv-m3cr |
| PyPI | tensorflow-cpu | 2.1.4, 2.2.3, 2.3.3, 2.4.2 | PYSEC-2021-469 |
| PyPI | tensorflow-gpu | 2.3.3 | GHSA-xqfj-35wv-m3cr |
| PyPI | tensorflow-gpu | 2.4.2 | GHSA-xqfj-35wv-m3cr |
| PyPI | tensorflow-gpu | 2.1.4 | GHSA-xqfj-35wv-m3cr |
| PyPI | tensorflow-gpu | 2.1.4, 2.2.3, 2.3.3, 2.4.2 | PYSEC-2021-667 |
| PyPI | tensorflow-gpu | 2.2.3 | GHSA-xqfj-35wv-m3cr |
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-476 · Vector: CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L