#VU86676 Out-of-bounds read in TensorFlow - CVE-2022-41897

Vulnerability identifier: #VU86676

Vulnerability risk: Medium

CVSSv4.0: 6.6 [CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N/E:U/U:Green]

CVE-ID: CVE-2022-41897

CWE-ID: CWE-125

Exploitation vector: Network

Exploit availability: No

Vulnerable software:
TensorFlow
Server applications / Other server solutions

Vendor: TensorFlow

Description

The vulnerability allows a remote attacker to gain access to potentially sensitive information.

The vulnerability exists due to TensorFlow will crash if `FractionMaxPoolGrad` is given outsize inputs `row_pooling_sequence` and `col_pooling_sequence`. A remote attacker can create a specially crafted file, trigger an out-of-bounds read error and read contents of memory on the system.

Mitigation
Install updates from vendor's website.

Vulnerable software versions

TensorFlow: 2.8.4, 2.9.3, 2.10.1

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External links
https://github.com/tensorflow/tensorflow/commit/d71090c3e5ca325bdf4b02eb236cfb3ee823e927
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-f2w8-jw48-fr7j
https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/fractional_max_pool_op.cc

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Q & A

Can this vulnerability be exploited remotely?

Yes. This vulnerability can be exploited by a remote non-authenticated attacker via the Internet.

Is there known malware, which exploits this vulnerability?

No. We are not aware of malware exploiting this vulnerability.