Denial of Service in Tensorflow
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.
beschreibt (1)
Zugehörige CVEs.
| ID | Schweregrad | ausnutzbar | ||
|---|---|---|---|---|
| CVE-2020-15199US | medium5.9 | — | ||
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… | ||||
Referenzen
Externe Belege — Patches, Meldungen, Analysen.
- https://github.com/tensorflow/tensorflow/commit/3cbb917b4714766030b28eba9fb41bb97ce9ee02ADVISORY
- https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1ADVISORY
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-x5cp-9pcf-pp3hADVISORY
- https://nvd.nist.gov/vuln/detail/CVE-2020-15199WEB
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