PT-2019-11147 · Google · Tensorflow

Published 2019-04-23 · Updated 2019-04-25 · CVE-2018-8825

Positive Technologies (AI Summary)

CVSS v3.1

8.8

High

Base vector

AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H

Name of the Vulnerable Software and Affected Versions: Google TensorFlow versions 1.7 and below

Description: The issue allows for the execution of arbitrary code locally due to a buffer overflow. This can occur when users pass a malformed or malicious version of a TFLite graph into TOCO, causing TOCO to crash or resulting in a buffer overflow, which could potentially allow malicious code to be executed.

Recommendations: For Google TensorFlow versions 1.7 and below, consider restricting the input to TOCO to prevent the execution of malicious code until a fix is available. As a temporary workaround, avoid using malformed or malicious TFLite graphs in TOCO. At the moment, there is no information about a newer version that contains a fix for this vulnerability.

Buffer Overflow

Weakness Enumeration

CWE-119

Related Identifiers

CVE-2018-8825

GHSA-FRXX-2M33-6WCR

PYSEC-2019-208

PYSEC-2019-226

PYSEC-2019-233

Affected Products

Tensorflow

References · 14

• https://github.com/tensorflow/tensorflow/blob/master/tensorflow/security/advisory/tfsa-2018-003.md · Patch
• https://osv.dev/vulnerability/PYSEC-2019-233 · Vendor Advisory
• https://osv.dev/vulnerability/PYSEC-2019-226 · Vendor Advisory
• https://osv.dev/vulnerability/PYSEC-2019-208 · Vendor Advisory
• https://nvd.nist.gov/vuln/detail/CVE-2018-8825 · Security Note
• https://osv.dev/vulnerability/GHSA-frxx-2m33-6wcr · Vendor Advisory
• https://osv.dev/vulnerability/CVE-2018-8825 · Vendor Advisory
• https://github.com/tensorflow/tensorflow/commit/8badd11d875a826bd318ed439909d5c47a7fb811 · Note
• https://github.com/tensorflow/tensorflow/commit/41335abb46f80ca644b5738550daef6136ba5476 · Note
• https://github.com/tensorflow/tensorflow · Note
• https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2019-226.yaml · Note
• https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2019-233.yaml · Note
• https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2019-208.yaml · Note
• https://github.com/advisories/GHSA-frxx-2m33-6wcr · Note