pysec-2021-207
Vulnerability from pysec
Published
2021-05-14 20:15
Modified
2021-08-27 03:22
Details
TensorFlow is an end-to-end open source platform for machine learning. The implementation of tf.raw_ops.MaxPoolGradWithArgmax
can cause reads outside of bounds of heap allocated data if attacker supplies specially crafted inputs. The implementation(https://github.com/tensorflow/tensorflow/blob/ef0c008ee84bad91ec6725ddc42091e19a30cf0e/tensorflow/core/kernels/maxpooling_op.cc#L1016-L1017) uses the same value to index in two different arrays but there is no guarantee that the sizes are identical. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
Aliases
{ "affected": [ { "package": { "ecosystem": "PyPI", "name": "tensorflow", "purl": "pkg:pypi/tensorflow" }, "ranges": [ { "events": [ { "introduced": "0" }, { "fixed": "dcd7867de0fea4b72a2b34bd41eb74548dc23886" } ], "repo": "https://github.com/tensorflow/tensorflow", "type": "GIT" }, { "events": [ { "introduced": "0" }, { "fixed": "2.1.4" }, { "introduced": "2.2.0" }, { "fixed": "2.2.3" }, { "introduced": "2.3.0" }, { "fixed": "2.3.3" }, { "introduced": "2.4.0" }, { "fixed": "2.4.2" } ], "type": "ECOSYSTEM" } ], "versions": [ "0.12.0", "0.12.0rc0", "0.12.0rc1", "0.12.1", "1.0.0", "1.0.1", "1.1.0", "1.1.0rc0", "1.1.0rc1", "1.1.0rc2", "1.10.0", "1.10.0rc0", "1.10.0rc1", "1.10.1", "1.11.0", "1.11.0rc0", "1.11.0rc1", "1.11.0rc2", "1.12.0", "1.12.0rc0", "1.12.0rc1", "1.12.0rc2", "1.12.2", "1.12.3", "1.13.0rc0", "1.13.0rc1", "1.13.0rc2", "1.13.1", "1.13.2", "1.14.0", "1.14.0rc0", "1.14.0rc1", "1.15.0", "1.15.0rc0", "1.15.0rc1", "1.15.0rc2", "1.15.0rc3", "1.15.2", "1.15.3", "1.15.4", "1.15.5", "1.2.0", "1.2.0rc0", "1.2.0rc1", "1.2.0rc2", "1.2.1", "1.3.0", "1.3.0rc0", "1.3.0rc1", "1.3.0rc2", "1.4.0", "1.4.0rc0", "1.4.0rc1", "1.4.1", "1.5.0", "1.5.0rc0", "1.5.0rc1", "1.5.1", "1.6.0", "1.6.0rc0", "1.6.0rc1", "1.7.0", "1.7.0rc0", "1.7.0rc1", "1.7.1", "1.8.0", "1.8.0rc0", "1.8.0rc1", "1.9.0", "1.9.0rc0", "1.9.0rc1", "1.9.0rc2", "2.0.0", "2.0.0a0", "2.0.0b0", "2.0.0b1", "2.0.0rc0", "2.0.0rc1", "2.0.0rc2", "2.0.1", "2.0.2", "2.0.3", "2.0.4", "2.1.0", "2.1.0rc0", "2.1.0rc1", "2.1.0rc2", "2.1.1", "2.1.2", "2.1.3", "2.2.0", "2.2.1", "2.2.2", "2.3.0", "2.3.1", "2.3.2", "2.4.0", "2.4.1" ] } ], "aliases": [ "CVE-2021-29570", "GHSA-545v-42p7-98fq" ], "details": "TensorFlow is an end-to-end open source platform for machine learning. The implementation of `tf.raw_ops.MaxPoolGradWithArgmax` can cause reads outside of bounds of heap allocated data if attacker supplies specially crafted inputs. The implementation(https://github.com/tensorflow/tensorflow/blob/ef0c008ee84bad91ec6725ddc42091e19a30cf0e/tensorflow/core/kernels/maxpooling_op.cc#L1016-L1017) uses the same value to index in two different arrays but there is no guarantee that the sizes are identical. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.", "id": "PYSEC-2021-207", "modified": "2021-08-27T03:22:33.847369Z", "published": "2021-05-14T20:15:00Z", "references": [ { "type": "FIX", "url": "https://github.com/tensorflow/tensorflow/commit/dcd7867de0fea4b72a2b34bd41eb74548dc23886" }, { "type": "ADVISORY", "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-545v-42p7-98fq" } ] }
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Sightings
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Nomenclature
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- Confirmed: The vulnerability is confirmed from an analyst perspective.
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- Not confirmed: The user expresses doubt about the veracity of the vulnerability.
- Not patched: This vulnerability was not successfully patched by the user reporting the sighting.