PatchSiren cyber security CVE debrief
CVE-2026-70469 Apache Software Foundation CVE debrief
Apache NiFi 2.11.0 has a vulnerability where it disabled support for gzip-encoded HTTP requests for the application REST API but did not properly enforce this restriction. This allowed crafted requests to consume excessive memory. The framework enforcement filter did not check multiple instances of the Content-Encoding header and did not reject non-standard identifiers for gzip encoding. Upgrading to Apache NiFi 2.12.0 mitigates the issue by disabling decompression of gzip-encoded HTTP requests.
- Vendor
- Apache Software Foundation
- Product
- Apache NiFi
- CVSS
- HIGH 7.5
- CISA KEV
- Not listed in stored evidence
- Original CVE published
- 2026-09-16
- Original CVE updated
- 2026-09-21
- Advisory published
- 2026-09-16
- Advisory updated
- 2026-09-21
Who should care
Defenders responsible for Apache NiFi deployments, particularly those using version 2.11.0, should assess exposure and prioritize upgrading to Apache NiFi 2.12.0. They should also monitor for unusual memory consumption patterns and review configurations for gzip-encoded HTTP requests.
Why it matters
Defenders should care about CVE-2026-70469 because it affects Apache NiFi 2.11.0, allowing crafted gzip-encoded HTTP requests to consume excessive memory. This could impact system performance and stability. Defenders responsible for Apache NiFi deployments, particularly those using version 2.11.0, should assess exposure and prioritize upgrading to Apache NiFi 2.12.0. The vulnerability requires verification of current configurations and header handling.
- Potential for excessive memory consumption
- Need for verification of current configurations and header handling
- Possible impact on system performance and stability
- Requirement for upgrading to a patched version
Technical summary
Apache NiFi 2.11.0 disabled support for gzip-encoded HTTP requests for the application REST API but did not properly enforce this restriction. The framework enforcement filter did not check multiple instances of the Content-Encoding header and did not reject non-standard identifiers for gzip encoding. This allowed a malicious client to send crafted requests that could consume excessive amounts of memory.
Defensive priority
Defenders should prioritize upgrading to Apache NiFi 2.12.0 to mitigate the vulnerability. They should also monitor for unusual memory consumption patterns in Apache NiFi 2.11.0 deployments.
Recommended defensive actions
- Upgrade to Apache NiFi 2.12.0
- Monitor for unusual memory consumption patterns in Apache NiFi 2.11.0 deployments
- Review and adjust configurations for gzip-encoded HTTP requests
- Confirm whether affected product deployments exist in managed environments and assign an owner for follow-up
- Review the supplied official advisory or CVE record to validate affected scope, severity, and vendor guidance
- Plan vendor-supported updates or mitigations through normal change control where exposure is confirmed
- Check relevant monitoring, detection, and logs for exposed assets that need extra review
Evidence notes
The CVE record and NVD entry provide details on the vulnerability. Apache NiFi 2.11.0 is vulnerable, and upgrading to 2.12.0 is recommended. Defenders should verify current configurations and header handling. The vulnerability allows crafted gzip-encoded HTTP requests to consume excessive memory, impacting system performance and stability.
Sources and references
Verified primary and authoritative sources
-
CVE-2026-70469 CVE Program record
Publisher, destination, and source semantics verified
URL: https://www.cve.org/CVERecord?id=CVE-2026-70469
CVE Program - Official CVE Program record with source-provided CVE metadata.
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CVE-2026-70469 NVD vulnerability detail
Publisher, destination, and source semantics verified
URL: https://nvd.nist.gov/vuln/detail/CVE-2026-70469
NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.
Supplemental references
-
Source reference
Unverified legacy reference
URL: https://lists.apache.org/thread/mjpv7r4djgn7fdvhnpjwgr2rcto47mx0
[email protected] - Mailing List, Vendor Advisory
Methodology and review provenance
AI-assisted synthesis based on stored public vulnerability evidence. System validation, approval state, and publication status do not by themselves establish human review of this revision. PatchSiren helps prioritize defensive review and does not prove exposure or remediation on any system.