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
Published Aug 7, 2019
8.7
HIGHCVSS 4.0
EPSS 1.30%
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.
Affected products
-
- Version 2.3.2 and belowStatusaffectedConstraints-
- Version
Default status is the baseline for the product, each version can override it (e.g. patched versions marked unaffected).
| Vendor | Product | Default status | Versions | ||||||
|---|---|---|---|---|---|---|---|---|---|
| Apache | Apache Spark | n/a |
|
No data.
No Red Hat product state for this CVE.
No package ranges for this CVE.
Remediation
No remediation recorded yet.
Metrics
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:N/VA:N/SC:N/SI:N/SA:N
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
AV:N/AC:M/Au:N/C:P/I:N/A:N
This CVE is not in the KEV list.
No CISA SSVC assessment for this CVE yet.
Estimated probability of exploitation in the wild in the next 30 days (FIRST EPSS). As of Oct 2, 2026.
Score over time
2021–2026- EPSS v1
- EPSS v2
- EPSS v3
- EPSS v4
- EPSS v5
Percentile over time
- EPSS v1
- EPSS v2
- EPSS v3
- EPSS v4
- EPSS v5
Table of values (14 key points)
Flat stretches are collapsed; showing up to 120 newest points.
| Date | Score | Percentile | Model |
|---|---|---|---|
| Oct 2, 2026 | 1.30% (0.01302) | 69.47th | v5 (v2026.06.15) |
| Jun 15, 2026 | 1.29% (0.01291) | 66.39th | v5 (v2026.06.15) |
| Mar 17, 2025 | 0.55% (0.00547) | 65.86th | v4 (v2025.03.14) |
| Dec 12, 2024 | 0.12% (0.00123) | 48.37th | v3 (v2023.03.01) |
| Jun 11, 2023 | 0.12% (0.00123) | 45.55th | v3 (v2023.03.01) |
| Mar 7, 2023 | 0.09% (0.00089) | 36.56th | v3 (v2023.03.01) |
| Mar 6, 2023 | 0.95% (0.00954) | 36.37th | v2 (v2022.01.01) |
| Sep 2, 2022 | 0.95% (0.00954) | 34.50th | v2 (v2022.01.01) |
| Apr 1, 2022 | 0.95% (0.00954) | 32.50th | v2 (v2022.01.01) |
| Feb 4, 2022 | 12.49% (0.12492) | 89.83th | v2 (v2022.01.01) |
| Feb 3, 2022 | 10.18% (0.10179) | 87.37th | v1 |
| Jan 6, 2022 | 10.18% (0.10179) | 87.22th | v1 |
| Sep 1, 2021 | 2.46% (0.02463) | 78.49th | v1 |
| Apr 14, 2021 | 2.46% (0.02463) | 0.00th | v1 |
References (9)
- https://github.com/advisories/GHSA-fp5j-3fpf-mhj5 Advisory
- https://github.com/pypa/advisory-database/tree/main/vulns/pyspark/PYSEC-2019-114.yaml
- https://lists.apache.org/thread.html/c2a39c207421797f82823a8aff488dcd332d9544038307bf69a2ba9e%40%3Cuser.spark.apache.org%3E x_refsource_MISC
- https://lists.apache.org/thread.html/c2a39c207421797f82823a8aff488dcd332d9544038307bf69a2ba9e@%3Cuser.spark.apache.org%3E
- https://lists.apache.org/thread.html/ra216b7b0dd82a2c12c2df9d6095e689eb3f3d28164e6b6587da69fae%40%3Ccommits.spark.apache.org%3E mailing-listx_refsource_MLIST
- https://lists.apache.org/thread.html/ra216b7b0dd82a2c12c2df9d6095e689eb3f3d28164e6b6587da69fae@%3Ccommits.spark.apache.org%3E
- https://lists.apache.org/thread.html/rabe1d47e2bf8b8f6d9f3068c8d2679731d57fa73b3a7ed1fa82406d2%40%3Cissues.spark.apache.org%3E mailing-listx_refsource_MLIST
- https://lists.apache.org/thread.html/rabe1d47e2bf8b8f6d9f3068c8d2679731d57fa73b3a7ed1fa82406d2@%3Cissues.spark.apache.org%3E
- https://nvd.nist.gov/vuln/detail/CVE-2019-10099
Change history (0)
No recorded changes yet.