7.5

CVE-2019-10099: apache apache spark

CVSS: 7.5v3.1HighModified
AliasesGHSA-fp5j-3fpf-mhj5PYSEC-2019-114
Published 07-08-2019Last modified 04-08-2024

Vulnerability summary

CVE-2019-10099 is a high (CVSS 7.5) vulnerability in apache apache spark. EPSS estimates a 1.30% chance of exploitation in the next 30 days, higher than 70% of scored vulnerabilities.

Overall risk
30/100
0100
Medium · default modelHow is this calculated?
CVSS score
7.5/10
010
High · v3.1 (NVD)
EPSS score
1.30%
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. 07-08-2019
    PublishedVulnerability first disclosed.
  2. 04-08-2024
    Last modifiedVulnerability information updated.

Description

Prior to Spark 2.3.3, in certain situations Spark would write user data to local disk unencrypted, even if spark.io.encryption.enabled=true. This includes cached blocks that are fetched to disk (controlled by spark.maxRemoteBlockSizeFetchToMem); in SparkR, using parallelize; in Pyspark, using broadcast and parallelize; and use of python udfs.

CVSS metrics

6 scores · 3 sources · 4 versions

EPSS trend

Probability

1.30%

Chance of exploitation in the next 30 days

Percentile

70%

Versus all other CVEs

30-day change

0.00 pp

From 1.30% on 18-09-2026

18-09-202618-10-2026
EPSS score
1.30%

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

Apache2 products
  • apache spark2.3.2 and below
  • spark≥ 1.0.2, ≤ 1.6.3 | ≥ 2.0.0, ≤ 2.0.2 | ≥ 2.1.0, ≤ 2.1.3 | ≥ 2.2.0, ≤ 2.2.2 | ≥ 2.3.0, < 2.3.2
Org.apache.spark1 product
  • spark-core_2.11< 2.3.3
PyPI1 product
  • pyspark< 2.3.3

3 vendors · 4 products

References

9 links