CVE-2021-41203: high-severity vulnerability in tensorflow
Missing validation during checkpoint loading
Published · Updated
E-mail alert when it lands in KEV, gets a public PoC or its score goes up.
21Vexday Risk Score
No sign of exploitation. No public exploitation artifact known so far.
ssvc Trackcvss 7.8epss 0.2%
TensorFlow is an open source platform for machine learning. In affected versions an attacker can trigger undefined behavior, integer overflows, segfaults and `CHECK`-fail crashes if they can change saved checkpoints from outside of TensorFlow. This is because the checkpoints loading infrastructure is missing validation for invalid file formats. The fixes will be included in TensorFlow 2.7.0. We will also cherrypick these commits on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/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
https://github.com/tensorflow/tensorflow/commit/368af875869a204b4ac552b9ddda59f6a46a56echttps://github.com/tensorflow/tensorflow/commit/abcced051cb1bd8fb05046ac3b6023a7ebcc4578https://github.com/tensorflow/tensorflow/commit/b619c6f865715ca3b15ef1842b5b95edbaa710adhttps://github.com/tensorflow/tensorflow/commit/e8dc63704c88007ee4713076605c90188d66f3d2https://github.com/tensorflow/tensorflow/security/advisories/GHSA-7pxj-m4jf-r6h2