PatchSiren

PatchSiren cyber security CVE debrief

CVE-2026-66144 Apache Software Foundation CVE debrief

CVE-2026-66144 is a high-severity denial of service vulnerability in Apache Neethi. Although remote policy references are not retrieved during policy normalization, manually retrieving them via the API can cause a denial of service attack if a huge policy is retrieved. The issue arises from the lack of a default maximum size on data read from remote policy references. Users are recommended to upgrade to version 3.2.3, which fixes this issue by imposing a default maximum size on data read from remote policy references. This vulnerability has a CVSS score of 7.5 and is considered HIGH severity. The exposure question is whether affected product deployments exist, and the likely defender workflow involves verifying deployments, reviewing official advisories, and planning updates or mitigations.

Vendor
Apache Software Foundation
Product
Apache Neethi
CVSS
HIGH 7.5
CISA KEV
Not listed in stored evidence
Original CVE published
2026-07-24
Original CVE updated
2026-07-27
Advisory published
2026-07-24
Advisory updated
2026-07-27

Who should care

Users of Apache Neethi, specifically operators, platform administrators, vulnerability management teams, and security teams, should be aware of this vulnerability and take steps to mitigate it. Upgrading to version 3.2.3 is recommended. Compensating controls should be reviewed for exposed systems while remediation is scheduled and verified. Monitoring, detection, and logs should be checked for exposed assets that need extra review.

Technical summary

The vulnerability exists in Apache Neethi, specifically in the handling of remote policy references. When a huge policy is manually retrieved via the API, it can cause a denial of service attack. The issue arises from the lack of a default maximum size on data read from remote policy references. Users are recommended to upgrade to version 3.2.3, which fixes this issue by imposing a default maximum size on data read from remote policy references. This vulnerability has a CVSS score of 7.5 and is considered HIGH severity. Affected product deployments should be identified and owners assigned for follow-up. Official advisories and CVE records should be reviewed to validate affected scope, severity, and vendor guidance.

Defensive priority

High

Recommended defensive actions

  • Upgrade to Apache Neethi version 3.2.3 or later
  • Implement compensating controls to limit the size of data read from remote policy references
  • Monitor API usage for suspicious activity
  • 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
  • Track exceptions, retest remediated assets, and close the item only after evidence is documented

Evidence notes

The CVE record was published on 2026-07-24T13:18:29.467Z and was last modified on 2026-07-27T14:32:06.660Z. The NVD entry is currently Analyzed. This information is based on the NVD entry and the CVE record. The vulnerability affects Apache Neethi, specifically in the handling of remote policy references. Users should verify their deployments and consider upgrading to version 3.2.3. Evidence limits and known affected scope should be reviewed.

Sources and references

Verified primary and authoritative sources

  • CVE-2026-66144 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-66144

    CVE Program - Official CVE Program record with source-provided CVE metadata.

  • CVE-2026-66144 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-66144

    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.