CVE-2020-15210: medium-severity vulnerability in tensorflow
Segmentation fault in tensorflow-lite
Published · Updated
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13Vexday Risk Score
No sign of exploitation. No public exploitation artifact known so far.
ssvc Trackcvss 6.5epss 0.7%
In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, if a TFLite saved model uses the same tensor as both input and output of an operator, then, depending on the operator, we can observe a segmentation fault or just memory corruption. We have patched the issue in d58c96946b 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.
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:L/A:H
Affected products
tensorflow · tensorflowRelated CVEs — tensorflow
In the same product, most dangerous first.
CVE-2020-15202CRITICALInteger truncation in Shard API usageEPSS 1.3%CVE-2020-15207HIGHSegfault and data corruption in tensorflow-liteEPSS 1.2%CVE-2022-23559HIGHInteger overflow in TFLiteEPSS 1.2%CVE-2022-23581MEDIUM`CHECK`-failures during Grappler's `IsSimplifiableReshape` in TensorflowEPSS 1.2%CVE-2022-23589MEDIUMNull pointer dereference in Grappler's `IsConstant` in TensorflowEPSS 1.1%CVE-2020-15205CRITICALData leak in TensorflowEPSS 1.0%
References
http://lists.opensuse.org/opensuse-security-announce/2020-10/msg00065.htmlhttps://github.com/tensorflow/tensorflow/commit/d58c96946b2880991d63d1dacacb32f0a4dfa453https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1https://github.com/tensorflow/tensorflow/security/advisories/GHSA-x9j7-x98r-r4w2