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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.

  • 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

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.