CVE-2022-31777 json
Apache Spark XSS vulnerability in log viewer UI Javascript
published 2022-11-01 4 y ago modified 2026-09-08 2 mo ago also BIT-spark-2022-31777 , EUVD-2022-0218 , GHSA-43xg-8wmj-cw8h , PYSEC-2022-42976
- cvss
- 5.4
- version 3.1, CNA
- cisa kev
- Not listed
- not in CISA's catalog
- epss
- 1.8%
- EPSS 1.8% chance of exploitation in 30 days, percentile 78%
- public exploits
- 0
- none known
Summary
A stored cross-site scripting (XSS) vulnerability in Apache Spark 3.2.1 and earlier, and 3.3.0, allows remote attackers to execute arbitrary JavaScript in the web browser of a user, by including a malicious payload into the logs which would be returned in logs rendered in the UI.
Patch / fix
- pypi pyspark 3.2.2, 3.3.1
- maven org.apache.spark:spark-core_2.13 3.2.2, 3.3.1
- maven org.apache.spark:spark-core_2.12 3.2.2, 3.3.1
- bitnami spark 3.2.2, 3.3.1
- apache spark 3.2.2
Vendor advisories
What the vendors themselves say about their products: affected, fixed or not affected, and what to do.
red hat product security vex CVE-2022-31777 updated cvss 5.4
apache-spark: XSS vulnerability in log viewer UI Javascript
-
Red Hat Fuse 7 apache-spark apache-spark Red Hat Integration Camel K 1 apache-spark apache-spark Red Hat Integration Camel Quarkus 1 apache-spark apache-sparkaffected: no fix planned “Will not fix”
-
Red Hat JBoss Data Grid 7 apache-spark apache-sparkaffected: no fix planned “Out of support scope”
-
Red Hat RHINT Camel-Springboot 3.20.1fixed: vendor fix RHSA-2023:2100
Red Hat CSAF VEX © Red Hat, Inc., from https://security.access.redhat.com/data/csaf/v2/vex/; changed: reduced to product statuses and remediations. CC BY 4.0 · csaf
CISA SSVC
- Exploitation
- none
- Automatable
- no
- Technical impact
- partial
- Assessed
- 18 mo ago
Exploit prediction
1.82% chance of exploitation in the next 30 days, higher than 78% of all scored CVEs (FIRST EPSS, 2026-11-08).
CVSS scores
| assigned by | version | score | vector |
|---|---|---|---|
| CISA ADP | 3.1 | 5.4 | CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:C/C:L/I:L/A:N |
| GitHub | 3.1 | 5.4 | CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:C/C:L/I:L/A:N |
| NVD | 3.1 | 5.4 | CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:C/C:L/I:L/A:N |
| CNA | 3.1 | 5.4 | CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:C/C:L/I:L/A:N |
| OSV | 3.1 | 5.4 | CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:C/C:L/I:L/A:N |
Affected packages
| ecosystem | package | affected | fixed in |
|---|---|---|---|
| pypi | pyspark | <3.2.2 >=3.3.0, <3.3.1 |
3.2.2 3.3.1 |
| maven | org.apache.spark:spark-core_2.9.3 | all versions |
no fix listed |
| maven | org.apache.spark:spark-core_2.13 | <3.2.2 >=3.3.0, <3.3.1 |
3.2.2 3.3.1 |
| maven | org.apache.spark:spark-core_2.12 | <3.2.2 >=3.3.0, <3.3.1 |
3.2.2 3.3.1 |
| maven | org.apache.spark:spark-core_2.11 | all versions |
no fix listed |
| maven | org.apache.spark:spark-core_2.10 | all versions |
no fix listed |
| bitnami | spark | <3.2.2 >=3.3.0, <3.3.1 |
3.2.2 3.3.1 |
Affected products
- Apache Software Foundation Apache Spark
Classification
- Weakness
-
- CWE-74 Improper Neutralization of Special Elements in Output Used by a Downstream Component
References
-
github.com
/apache/spark/commit/ad90195de56688ce0898691eb9d04297ab0871ad
web
-
lists.apache.org
/thread/60mgbswq2lsmrxykfxpqq13ztkm2ht6q
web, mailing-list, third-party-advisory, advisory, article
-
openwall.com
/lists/oss-security/2022/11/01/14
mailing-list, web, discussion
-
nvd.nist.gov
/vuln/detail/CVE-2022-31777
advisory, web
-
github.com
/apache/spark
package
-
github.com
/pypa/advisory-database/tree/main/vulns/pyspark/PYSEC-2022-42976.yaml
web
-
web.archive.org
/web/20220728105026/https://issues.apache.org/jira/browse/SPARK-39505
web
-
github.com
/advisories/GHSA-43xg-8wmj-cw8h
advisory
Sources
- CVE List CVE-2022-31777
- GitHub Advisory GHSA-43xg-8wmj-cw8h
- NVD CVE-2022-31777
- OSV BIT-spark-2022-31777
- OSV PYSEC-2022-42976
Fencer Vulns keeps one entry per vulnerability: the CVE id wins, then GHSA, and records that alias each other are merged, except that two CVEs always keep separate entries. The same data is available as JSON.