8.8

CVE-2021-41208: google tensorflow NULL Pointer Dereference

CVSS: 8.8v3.1HighModified
AliasesGHSA-57wx-m983-2f88BIT-tensorflow-2021-41208PYSEC-2021-400
Published 05-11-2021Last modified 04-08-2024
Open JSON

Vulnerability summary

CVE-2021-41208 is a high (CVSS 8.8) NULL Pointer Dereference vulnerability in google tensorflow. EPSS estimates a 0.17% chance of exploitation in the next 30 days, higher than 6.4% of scored vulnerabilities.

Overall risk
35/100
0100
Medium · default modelHow is this calculated?
CVSS score
8.8/10
010
High · 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

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 affected versions the code for boosted trees in TensorFlow is still missing validation. As a result, attackers can trigger denial of service (via dereferencing `nullptr`s or via `CHECK`-failures) as well as abuse undefined behavior (binding references to `nullptr`s). An attacker can also read and write from heap buffers, depending on the API that gets used and the arguments that are passed to the call. Given that the boosted trees implementation in TensorFlow is unmaintained, it is recommend to no longer use these APIs. We will deprecate TensorFlow's boosted trees APIs in subsequent releases. 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

4 scores · 3 sources · 2 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 19-09-2026

19-09-202619-10-2026
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≥ 2.6.0, < 2.6.1 | ≥ 2.5.0, < 2.5.2 | < 2.4.4 | < 5c8c9a8bfe750f9743d0c859bae112060b216f5c | ≥ 2.7.0rc0, < 2.7.0
  • tensorflow-cpu≥ 2.6.0, < 2.6.1 | ≥ 2.5.0, < 2.5.2 | < 2.4.4 | < 5c8c9a8bfe750f9743d0c859bae112060b216f5c | ≥ 2.7.0rc0, < 2.7.0
  • tensorflow-gpu≥ 2.6.0, < 2.6.1 | ≥ 2.5.0, < 2.5.2 | < 2.4.4 | < 5c8c9a8bfe750f9743d0c859bae112060b216f5c | ≥ 2.7.0rc0, < 2.7.0
Google1 product
  • tensorflow≥ 2.4.0, < 2.4.4 | ≥ 2.5.0, < 2.5.2 | ≥ 2.6.0, < 2.6.1 | 2.7.0:rc0 | 2.7.0:rc1
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