Denial of Service in Tensorflow
In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, by controlling the `fill` argument of tf.strings.as_string, a malicious attacker is able to trigger a format string vulnerability due to the way the internal format use in a `printf` call is constructed. This may result in segmentation fault. The issue is patched in commit 33be22c65d86256e6826666662e40dbdfe70ee83, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.
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describes (1)
Related CVEs.
| ID | severity | exploitable | ||
|---|---|---|---|---|
| CVE-2020-15203US | high7.5 | — | ||
In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, by controlling the `fill` argument of tf.strings.as_string, a malicious attacker is able to trigger a format st… | ||||
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references
External citations — patches, advisories, analysis.
- http://lists.opensuse.org/opensuse-security-announce/2020-10/msg00065.htmlADVISORY
- https://github.com/tensorflow/tensorflow/commit/33be22c65d86256e6826666662e40dbdfe70ee83ADVISORY
- https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1ADVISORY
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xmq7-7fxm-rr79ADVISORY
- https://nvd.nist.gov/vuln/detail/CVE-2020-15203WEB
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