8.1

CVE-2018-10055: google tensorflow

CVSS: 8.1v3.0HighModified
AliasesGHSA-q492-f7gr-27rpPYSEC-2019-204PYSEC-2019-222
Published 24-04-2019Last modified 05-08-2024
Open JSON

Vulnerability summary

CVE-2018-10055 is a high (CVSS 8.1) vulnerability in google tensorflow. EPSS estimates a 0.53% chance of exploitation in the next 30 days, higher than 43.6% of scored vulnerabilities.

Overall risk
33/100
0100
Medium · default modelHow is this calculated?
CVSS score
8.1/10
010
High · v3.0 (NVD)
EPSS score
0.53%
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. 24-04-2019
    PublishedVulnerability first disclosed.
  2. 05-08-2024
    Last modifiedVulnerability information updated.

Description

Invalid memory access and/or a heap buffer overflow in the TensorFlow XLA compiler in Google TensorFlow before 1.7.1 could cause a crash or read from other parts of process memory via a crafted configuration file.

CVSS metrics

4 scores · 2 sources · 3 versions

EPSS trend

Probability

0.53%

Chance of exploitation in the next 30 days

Percentile

44%

Versus all other CVEs

30-day change

0.00 pp

From 0.53% on 18-09-2026

18-09-202618-10-2026
EPSS score
0.53%

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≥ 1.1.0, < 1.7.1 | < 1.7.1
  • tensorflow-cpu< 1.7.1
  • tensorflow-gpu≥ 1.1.0, < 1.7.1 | < 1.7.1
Google1 product

2 vendors · 4 products

References

8 links