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CVE-2026-69222 harttle CVE debrief

The CVE-2026-69222 vulnerability affects LiquidJS, a Shopify/GitHub Pages compatible template engine in pure JavaScript. This vulnerability, present in versions prior to 10.27.2, allows for a potential crash due to incorrect complexity calculation in the join filter and concat filter. The issue arises from the computation of complexity from array.length and separator length instead of the total string length produced by array.join(sep). A crafted template can allocate toward V8's string or process memory limit, leading to a crash. Users of LiquidJS, especially those using versions prior to 10.27.2, should be aware of this vulnerability and take steps to mitigate it. The vulnerability can be mitigated by updating to LiquidJS version 10.27.2 or later.

Vendor
harttle
Product
liquidjs
CVSS
HIGH 7.5
CISA KEV
Not listed in stored evidence
Original CVE published
2026-08-19
Original CVE updated
2026-09-09
Advisory published
2026-08-19
Advisory updated
2026-09-09

Who should care

Users of LiquidJS, especially those using versions prior to 10.27.2, should be aware of this vulnerability and take steps to mitigate it. Operators, platform administrators, and security teams may be impacted by this vulnerability and should review their environments for exposure. Vulnerability management and security teams should prioritize updating to version 10.27.2 or later to mitigate this vulnerability. Additionally, defenders should review the official advisory and assess their exposure to ensure proper mitigation.

Technical summary

The join filter and concat filter in LiquidJS can be exploited to exceed the configured memoryLimit, potentially leading to a crash. The issue is caused by incorrect complexity calculation in src/filters/array.ts and src/filters/string.ts. This vulnerability can be mitigated by updating to LiquidJS version 10.27.2 or later. Affected product deployments may exist, and operators should review their environments for exposure. The vulnerability allows for a potential crash due to incorrect complexity calculation, and users should prioritize updating to version 10.27.2 or later to mitigate this vulnerability.

Defensive priority

LiquidJS users should prioritize updating to version 10.27.2 or later to mitigate this vulnerability.

Recommended defensive actions

  • Update LiquidJS to version 10.27.2 or later
  • Review and adjust memoryLimit configurations
  • Monitor for potential exploitation attempts
  • 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.
  • Review compensating controls for exposed systems while remediation is scheduled and verified.

Evidence notes

The CVE record and NVD entry provide details about the vulnerability in LiquidJS. The join filter and concat filter in LiquidJS can be exploited to exceed the configured memoryLimit, potentially leading to a crash. The issue is fixed in version 10.27.2. To verify, defenders should review the official advisory and assess their exposure. Evidence limits suggest that affected deployments may exist, and additional review is warranted.

Sources and references

Verified primary and authoritative sources

  • CVE-2026-69222 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-69222

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

  • CVE-2026-69222 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-69222

    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.