CVE-2026-41727: Spring Kafka Retry Topic Header Validation Vulnerability
Spring for Apache Kafka contains a vulnerability in how it validates header information when processing message retries. An authenticated user can craft a malicious Kafka message with an artificially high or invalid retry attempt count in a header, causing the retry routing system to become confused about where that message sits in the retry sequence. This confusion can disrupt message delivery logic and potentially cause the system to become unavailable, though attackers need valid Kafka producer credentials to exploit it.
Source data · NVD / CISA · public domain
- CVSS
- 3.1 · 6.5 MEDIUM · CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
- Weaknesses (CWE)
- CWE-20
- Affected products
- 1 configuration(s)
- Published / Modified
- 2026-06-10 / 2026-07-17
NVD description (verbatim)
Spring Kafka's retry topic infrastructure did not sufficiently validate user-controlled header values before acting on them. A producer could send a record with a crafted retry_topic-attempts header to supply an out-of-range attempt count and cause the retry topic router to misidentify where the message was in the retry sequence. Affected versions: Spring for Apache Kafka 4.0.0 through 4.0.5; 3.3.0 through 3.3.15; 3.2.0 through 3.2.13; 2.9.0 through 2.9.13; 2.8.0 through 2.8.11.
1 reference(s) · View on NVD →
SEC.co analysis · AI-assisted, reviewed against source
Technical summary
CVE-2026-41727 exploits insufficient validation of the retry_topic-attempts header in Spring Kafka's retry topic infrastructure (CWE-20: Improper Input Validation). When a Kafka producer sends a record with an out-of-range attempt count value, the retry topic router loses its ability to correctly track retry state, leading to misidentification of the message's position in the retry sequence. This affects multiple release lines: 4.0.0–4.0.5, 3.3.0–3.3.15, 3.2.0–3.2.13, 2.9.0–2.9.13, and 2.8.0–2.8.11. The CVSS 3.1 vector (AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H) indicates network-accessible exploitation requiring producer-level permissions, with high availability impact but no confidentiality or integrity compromise.
Business impact
Organizations relying on Spring for Apache Kafka for message processing may experience degraded service availability and unpredictable message delivery behavior. If retry logic is essential to your application workflow—such as in financial transactions, order processing, or event-driven architectures—a successful attack could cause messages to be silently dropped, delayed indefinitely, or repeatedly processed in unpredictable ways. The attack surface is limited to authenticated producers, reducing the risk from external threat actors but increasing concern for insider threats or compromised service accounts. Business continuity depends on rapid patching and monitoring of message flow integrity.
Affected systems
Spring for Apache Kafka versions 2.8.0 through 4.0.5 are vulnerable across four active release lines. Applications that use Spring Kafka for consumer-side retry handling, dead-letter topics, or any retry topic configuration are directly affected. Microservices architectures and event streaming platforms built on Spring Kafka warrant immediate attention. Check your application's pom.xml, gradle.build, or equivalent dependency manifest for spring-kafka versions; even patch-level differences matter here.
Exploitability
Exploitation requires valid Kafka producer credentials (PR:L), making it inaccessible to unauthenticated attackers but feasible for insiders, compromised service accounts, or adversaries who have gained network access and credential material. No special tooling or complex exploitation steps are necessary—a simple library call with a crafted header is sufficient. The vulnerability is not currently listed on CISA's Known Exploited Vulnerabilities catalog, suggesting active exploitation remains limited at present, but the low complexity and straightforward attack mechanism mean it could be adopted quickly.
Remediation
Upgrade Spring for Apache Kafka to patched versions as soon as practicable. Verify against the VMware advisory for the exact fixed version numbers for your release line. Additionally, implement network-level access controls to restrict Kafka producer access to trusted applications and service accounts; apply the principle of least privilege to broker credentials. Monitor Kafka broker logs and consumer group lag metrics for anomalies in retry behavior, such as messages stuck in retry topics or unexpected reprocessing patterns.
Patch guidance
Contact VMware or consult the official Spring for Apache Kafka security advisory to identify the patched version for each affected line (2.8.x, 2.9.x, 3.2.x, 3.3.x, 4.0.x). Test patches in a non-production environment that includes your full retry topic configuration before deployment. Given the medium severity and the requirement for producer-level authentication, a standard change-control cycle is appropriate; do not delay unnecessarily, but coordinate with teams managing Kafka clusters and dependent microservices. Rolling restarts of Kafka consumers may be required after broker updates.
Detection guidance
Enable and monitor Kafka broker audit logs for producer requests containing unusual retry_topic-attempts header values, particularly those outside expected ranges (typically 0 to the configured max-attempts). Inspect consumer group offsets and lag metrics for signs of messages getting stuck or repeatedly reprocessed. Use Spring Boot actuator metrics (if exposed) to track retry invocation counts and identify abnormal patterns. In application logs, watch for exceptions or warnings related to retry routing that coincide with suspicious producer activity.
Why prioritize this
Although this is a medium-severity vulnerability, it should rank high in your remediation queue because: (1) it affects message processing reliability in systems where high availability is critical, (2) exploitation is trivial for anyone with producer credentials, (3) it affects a widely-used framework across multiple release lines, and (4) the lack of current public exploitation should not breed complacency, given the low technical bar to weaponization. Organizations with strict SLAs around message delivery or processing should treat this as a near-term priority. Teams with limited Kafka network segmentation should prioritize patching even faster.
Risk score, explained
The CVSS 6.5 (MEDIUM) score reflects high availability impact (A:H) offset by the requirement for authenticated producer access (PR:L). While not critical, this is a high-consequence availability issue in the medium range. Context matters: if your Kafka cluster is internet-facing or accessible to untrusted networks, risk increases. If producers are tightly controlled and run on isolated infrastructure, risk is lower. Adjust your internal risk rating based on your threat model and the criticality of dependent message-processing workflows.
Frequently asked questions
Do I need Kafka broker updates, or just my application code?
Both, potentially. Patching Spring for Apache Kafka in your application (Consumer/Producer code) is necessary, but verify with the vendor whether broker-side changes are also recommended. Some versions may require coordinated updates.
Our Kafka cluster is internal-only and fully authenticated. How urgent is this?
Still important, but your risk is primarily insider threat and compromised service accounts. Ensure producer credentials are rotated regularly, enforce strong access controls, and monitor for anomalous producer behavior. You can sequence this patch within your normal quarterly cycle if producer isolation is robust.
What happens if a message with a crafted header gets into production before we patch?
The message may be misrouted within retry topics, potentially causing it to be skipped, reprocessed unexpectedly, or stuck indefinitely depending on the broker and consumer configuration. This is why monitoring lag and reprocessing patterns is critical as a compensating control.
Is there a workaround if we can't patch immediately?
Implement producer-side input validation and firewall rules to block access to your Kafka brokers from untrusted networks. Audit and rotate service account credentials. These do not fix the vulnerability but reduce the attack surface while you plan your patching cycle.
This analysis is based on the CVE record and publicly available vendor information current as of the advisory date. CVSS scores and severity ratings are provided by NIST/MITRE; your organization should apply its own risk assessment based on internal threat models and system criticality. Patch version numbers must be verified against the official VMware Spring for Apache Kafka security advisory before deployment. No exploit code or proof-of-concept details are provided. Always test security patches in a non-production environment before production deployment. This page is for informational purposes and does not constitute professional security advice. Source: NVD (public-domain), retrieved 2026-07-19. Analysis generated by SEC.co (claude-haiku-4-5).
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