CVE-2026-47881: Denial of Service in Spring Batch FlatFileItemReader via Malformed Input File

Published Aug 27, 2026
·
Updated

Spring Batch's FlatFileItemReader supports files where a single logical record spans multiple physical lines — for example, a CSV field that contains embedded newlines wrapped in quotes. A specially crafted input file could exploit the way the reader assembles those multi-line records to consume excessive CPU time and memory, causing the batch job to stall or run out of memory. Spring Batch 6.0.0 - 6.0.4 Spring Batch 5.2.0 - 5.2.6 Spring Batch 4.3.0 - 4.3.13

Affected Software

3 affected components
Spring Spring Batch>=6.0.0<=6.0.4
Spring Spring Batch>=5.2.0<=5.2.6
Spring Spring Batch>=4.3.0<=4.3.13

Event History

Aug 27, 2026
CVE Published
via MITRE·05:20 AM
Data Sourced
via MITRE·05:20 AM
DescriptionSeverityWeakness
Data Sourced
via NVD·06:17 AM
DescriptionSeverity

Frequently Asked Questions

1

Which deployments are exposed to this issue?

Deployments using Spring Batch FlatFileItemReader with versions 6.0.0 through 6.0.4, 5.2.0 through 5.2.6, or 4.3.0 through 4.3.13 are affected when they process crafted multi-line input records.

2

What must an attacker be able to do to trigger the denial of service?

An attacker must be able to supply or influence an input file processed by FlatFileItemReader. The crafted file uses a logical record spanning multiple physical lines, such as a quoted CSV field containing embedded newlines.

3

What is the expected impact if exploitation succeeds?

Processing the malformed file can consume excessive CPU time and memory. The affected batch job may stall or terminate after running out of memory.

Contact

SecAlerts Pty Ltd.
132 Wickham Terrace
Fortitude Valley,
QLD 4006, Australia
info@secalerts.co
By using SecAlerts services, you agree to our services end-user license agreement. This website is safeguarded by reCAPTCHA and governed by the Google Privacy Policy and Terms of Service. All names, logos, and brands of products are owned by their respective owners, and any usage of these names, logos, and brands for identification purposes only does not imply endorsement. If you possess any content that requires removal, please get in touch with us.
© 2026 SecAlerts Pty Ltd.
ABN: 70 645 966 203, ACN: 645 966 203