7.8

CVE-2021-41201: google tensorflow Access of Uninitialized Pointer

CVSS: 7.8v3.1HighModified
AliasesGHSA-j86v-p27c-73fmBIT-tensorflow-2021-41201PYSEC-2021-394
Published 05-11-2021Last modified 04-08-2024
Open JSON

Vulnerability summary

CVE-2021-41201 is a high (CVSS 7.8) Access of Uninitialized Pointer vulnerability in google tensorflow. EPSS estimates a 0.25% chance of exploitation in the next 30 days, higher than 15% of scored vulnerabilities. 1 public exploit is recorded.

Overall risk
41/100
0100
Medium · default modelHow is this calculated?
CVSS score
7.8/10
010
High · v3.1 (CVE.org)
EPSS score
0.25%
0%100%
Low · 0.00 pp in 30 days
KEVNot listedIn no KEV catalog
RansomwareNone recordedNo known use recorded
Public exploits1github

Timeline

  1. 05-11-2021
    PublishedVulnerability first disclosed.
  2. 04-08-2024
    Last modifiedVulnerability information updated.

Description

TensorFlow is an open source platform for machine learning. In affeced versions during execution, `EinsumHelper::ParseEquation()` is supposed to set the flags in `input_has_ellipsis` vector and `*output_has_ellipsis` boolean to indicate whether there is ellipsis in the corresponding inputs and output. However, the code only changes these flags to `true` and never assigns `false`. This results in unitialized variable access if callers assume that `EinsumHelper::ParseEquation()` always sets these flags. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.

CVSS metrics

5 scores · 3 sources · 3 versions

EPSS trend

Probability

0.25%

Chance of exploitation in the next 30 days

Percentile

15%

Versus all other CVEs

30-day change

0.00 pp

From 0.25% on 18-09-2026

18-09-202618-10-2026
EPSS score
0.25%

Known exploited

Compare KEV catalogs

Not in any of the 3 tracked catalogs.

Public exploits

1 found
  • githubUnverified

    Tensorflow

    Maturity: poc

Weaknesses

CWE · root cause

Affected systems

PyPI3 products
  • tensorflow≥ 2.6.0, < 2.6.1 | ≥ 2.5.0, < 2.5.2 | < 2.4.4 | < f09caa532b6e1ac8d2aa61b7832c78c5b79300c6 | ≥ 2.7.0rc0, < 2.7.0
  • tensorflow-cpu≥ 2.6.0, < 2.6.1 | ≥ 2.5.0, < 2.5.2 | < 2.4.4 | < f09caa532b6e1ac8d2aa61b7832c78c5b79300c6 | ≥ 2.7.0rc0, < 2.7.0
  • tensorflow-gpu≥ 2.6.0, < 2.6.1 | ≥ 2.5.0, < 2.5.2 | < 2.4.4 | < f09caa532b6e1ac8d2aa61b7832c78c5b79300c6 | ≥ 2.7.0rc0, < 2.7.0
Google1 product
Tensorflow1 product
  • tensorflow≥ 2.6.0, < 2.6.1 | ≥ 2.5.0, < 2.5.2 | < 2.4.4

3 vendors · 5 products

References

7 links