Description

TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a heap buffer overflow in `tf.raw_ops.QuantizedResizeBilinear` by manipulating input values so that float rounding results in off-by-one error in accessing image elements. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/44b7f486c0143f68b56c34e2d01e146ee445134a/tensorflow/core/kernels/quantized_resize_bilinear_op.cc#L62-L66) computes two integers (representing the upper and lower bounds for interpolation) by ceiling and flooring a floating point value. For some values of `in`, `interpolation->upper[i]` might be smaller than `interpolation->lower[i]`. This is an issue if `interpolation->upper[i]` is capped at `in_size-1` as it means that `interpolation->lower[i]` points outside of the image. Then, in the interpolation code(https://github.com/tensorflow/tensorflow/blob/44b7f486c0143f68b56c34e2d01e146ee445134a/tensorflow/core/kernels/quantized_resize_bilinear_op.cc#L245-L264), this would result in heap buffer overflow. 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.

Metrics

 

CVSS Version 4.0 CVSS Version 3.x CVSS Version 2.0

NVD enrichment efforts reference publicly available information to associate vector strings. CVSS information contributed by other sources is also displayed.

CVSS 4.0 Severity and Vector Strings:

NIST: NVD

N/A

NVD assessment not yet provided.

CVSS 3.x Severity and Vector Strings:

NIST: NVD

Base Score:  7.8 HIGH

Vector:  CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H

CNA:  GitHub, Inc.

Base Score:  2.5 LOW

Vector:  CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L

CVSS 2.0 Severity and Vector Strings:

NIST: NVD

Base Score:  4.6 MEDIUM

Vector:  (AV:L/AC:L/Au:N/C:P/I:P/A:P)

References to Advisories, Solutions, and Tools

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Hyperlink	Resource
https://github.com/tensorflow/tensorflow/commit/f851613f8f0fb0c838d160ced13c134f778e3ce7	Patch  Third Party Advisory
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-jfp7-4j67-8r3q	Exploit  Patch  Third Party Advisory

Weakness Enumeration

CWE-ID	CWE Name	Source
CWE-193	Off-by-one Error	NIST
CWE-131	Incorrect Calculation of Buffer Size	GitHub, Inc.

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Change History

2 change records found show changes

CVE Modified by GitHub, Inc. 5/14/2024 4:49:11 AM

Action	Type	Old Value	New Value

Initial Analysis by NIST 5/20/2021 12:26:16 PM

Action	Type	Old Value	New Value
Added	CPE Configuration		OR *cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* versions up to (excluding) 2.1.4 *cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* versions from (including) 2.2.0 up to (excluding) 2.2.3 *cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* versions from (including) 2.3.0 up to (excluding) 2.3.3 *cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* versions from (including) 2.4.0 up to (excluding) 2.4.2
Added	CVSS V2		NIST (AV:L/AC:L/Au:N/C:P/I:P/A:P)
Added	CVSS V3.1		NIST AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
Added	CWE		NIST CWE-193
Changed	Reference Type	https://github.com/tensorflow/tensorflow/commit/f851613f8f0fb0c838d160ced13c134f778e3ce7 No Types Assigned	https://github.com/tensorflow/tensorflow/commit/f851613f8f0fb0c838d160ced13c134f778e3ce7 Patch, Third Party Advisory
Changed	Reference Type	https://github.com/tensorflow/tensorflow/security/advisories/GHSA-jfp7-4j67-8r3q No Types Assigned	https://github.com/tensorflow/tensorflow/security/advisories/GHSA-jfp7-4j67-8r3q Exploit, Patch, Third Party Advisory