CVE-2026-47881 (GCVE-0-2026-47881)
Vulnerability from cvelistv5 – Published: 2026-08-27 05:20 – Updated: 2026-08-27 05:21
VLAI
EPSS
VEX
Title
Denial of Service in Spring Batch FlatFileItemReader via Malformed Input File
Summary
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
Severity
5.9 (Medium)
Assigner
References
1 reference
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Spring | Spring Batch |
Affected:
6.0.0 , ≤ 6.0.4
(custom)
Affected: 5.2.0 , ≤ 5.2.6 (custom) Affected: 4.3.0 , ≤ 4.3.13 (custom) |
guessed |
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
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