pysec-2021-472
Vulnerability from pysec
TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a denial of service via a CHECK
-fail in tf.raw_ops.QuantizeAndDequantizeV4Grad
. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/95078c145b5a7a43ee046144005f733092756ab5/tensorflow/core/kernels/quantize_and_dequantize_op.cc#L162-L163) does not validate the rank of the input_*
tensors. In turn, this results in the tensors being passes as they are to QuantizeAndDequantizePerChannelGradientImpl
(https://github.com/tensorflow/tensorflow/blob/95078c145b5a7a43ee046144005f733092756ab5/tensorflow/core/kernels/quantize_and_dequantize_op.h#L295-L306). However, the vec<T>
method, requires the rank to 1 and triggers a CHECK
failure otherwise. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2 as this is the only other affected version.
{ "affected": [ { "package": { "ecosystem": "PyPI", "name": "tensorflow-cpu", "purl": "pkg:pypi/tensorflow-cpu" }, "ranges": [ { "events": [ { "introduced": "0" }, { "fixed": "20431e9044cf2ad3c0323c34888b192f3289af6b" } ], "repo": "https://github.com/tensorflow/tensorflow", "type": "GIT" }, { "events": [ { "introduced": "0" }, { "fixed": "2.2.0rc0" }, { "introduced": "2.2.0" }, { "fixed": "2.3.0rc0" }, { "introduced": "2.3.0" }, { "fixed": "2.3.4" }, { "introduced": "2.4.0" }, { "fixed": "2.4.3" } ], "type": "ECOSYSTEM" } ], "versions": [ "1.15.0", "2.1.0", "2.1.1", "2.1.2", "2.1.3", "2.1.4", "2.2.0", "2.2.1", "2.2.2", "2.2.3", "2.3.0", "2.3.1", "2.3.2", "2.3.3", "2.4.0", "2.4.1", "2.4.2" ] } ], "aliases": [ "CVE-2021-29544", "GHSA-6g85-3hm8-83f9" ], "details": "TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a denial of service via a `CHECK`-fail in `tf.raw_ops.QuantizeAndDequantizeV4Grad`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/95078c145b5a7a43ee046144005f733092756ab5/tensorflow/core/kernels/quantize_and_dequantize_op.cc#L162-L163) does not validate the rank of the `input_*` tensors. In turn, this results in the tensors being passes as they are to `QuantizeAndDequantizePerChannelGradientImpl`(https://github.com/tensorflow/tensorflow/blob/95078c145b5a7a43ee046144005f733092756ab5/tensorflow/core/kernels/quantize_and_dequantize_op.h#L295-L306). However, the `vec\u003cT\u003e` method, requires the rank to 1 and triggers a `CHECK` failure otherwise. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2 as this is the only other affected version.", "id": "PYSEC-2021-472", "modified": "2021-12-09T06:34:50.195889Z", "published": "2021-05-14T20:15:00Z", "references": [ { "type": "FIX", "url": "https://github.com/tensorflow/tensorflow/commit/20431e9044cf2ad3c0323c34888b192f3289af6b" }, { "type": "ADVISORY", "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-6g85-3hm8-83f9" } ] }
Sightings
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Nomenclature
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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.