5.5

CVE-2021-37692: google tensorflow Improper Input Validation

CVSS: 5.5v3.1MediumModified
AliasesGHSA-cmgw-8vpc-rc59BIT-tensorflow-2021-37692PYSEC-2021-314
Published 12-08-2021Last modified 04-08-2024
Open JSON

Vulnerability summary

CVE-2021-37692 is a medium (CVSS 5.5) Improper Input Validation vulnerability in google tensorflow. EPSS estimates a 0.17% chance of exploitation in the next 30 days, higher than 6.1% of scored vulnerabilities.

Overall risk
22/100
0100
Low · default modelHow is this calculated?
CVSS score
5.5/10
010
Medium · v3.1 (CVE.org)
EPSS score
0.17%
0%100%
Low · 0.00 pp in 30 days
KEVNot listedIn no KEV catalog
RansomwareNone recordedNo known use recorded
Public exploits0No public exploits recorded

Advisory lineage

Upstream 0 · Downstream 1 · Related 1
OPENSUSE-SU-2022:10014-1

Timeline

  1. 12-08-2021
    PublishedVulnerability first disclosed.
  2. 04-08-2024
    Last modifiedVulnerability information updated.

Description

TensorFlow is an end-to-end open source platform for machine learning. In affected versions under certain conditions, Go code can trigger a segfault in string deallocation. For string tensors, `C.TF_TString_Dealloc` is called during garbage collection within a finalizer function. However, tensor structure isn't checked until encoding to avoid a performance penalty. The current method for dealloc assumes that encoding succeeded, but segfaults when a string tensor is garbage collected whose encoding failed (e.g., due to mismatched dimensions). To fix this, the call to set the finalizer function is deferred until `NewTensor` returns and, if encoding failed for a string tensor, deallocs are determined based on bytes written. We have patched the issue in GitHub commit 8721ba96e5760c229217b594f6d2ba332beedf22. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, which is the other affected version.

CVSS metrics

5 scores · 3 sources · 3 versions

EPSS trend

Probability

0.17%

Chance of exploitation in the next 30 days

Percentile

6%

Versus all other CVEs

30-day change

0.00 pp

From 0.17% on 18-09-2026

18-09-202618-10-2026
EPSS score
0.17%

Known exploited

Compare KEV catalogs

Not in any of the 3 tracked catalogs.

Public exploits

0 found

No public exploits indexed.

Weaknesses

CWE · root cause

Affected systems

PyPI3 products
  • tensorflow≥ 2.5.0rc0, < 2.5.1 | < 8721ba96e5760c229217b594f6d2ba332beedf22 | ≥ 2.4.0, < 2.4.3
  • tensorflow-cpu≥ 2.5.0rc0, < 2.5.1 | < 8721ba96e5760c229217b594f6d2ba332beedf22 | ≥ 2.4.0, < 2.4.3
  • tensorflow-gpu≥ 2.5.0rc0, < 2.5.1 | < 8721ba96e5760c229217b594f6d2ba332beedf22 | ≥ 2.4.0, < 2.4.3
Google1 product
Tensorflow1 product

3 vendors · 5 products

References

8 links