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CVE-2026-73413 ericcornelissen CVE debrief

CVE-2026-73413 is a high-severity vulnerability in the Shescape library for JavaScript, which can lead to denial of service (DoS) attacks when processing large untrusted inputs. The vulnerability affects versions 2.1.11 to 2.1.14 and 3.0.1 of the library. Attackers can exploit this vulnerability by supplying a large input containing many flag fragments, which can cause the library to consume excessive CPU resources.

Vendor
ericcornelissen
Product
shescape
CVSS
HIGH 8.7
CISA KEV
Not listed in stored evidence
Original CVE published
2026-08-12
Original CVE updated
2026-09-09
Advisory published
2026-08-12
Advisory updated
2026-09-09

Who should care

Defenders responsible for systems that use the Shescape library, especially those handling large inputs or relying on the library for shell escaping, should prioritize patching or mitigating this vulnerability.

Why it matters

CVE-2026-73413 is a high-severity vulnerability in the Shescape library for JavaScript, which can lead to denial of service (DoS) attacks when processing large untrusted inputs. Defenders should prioritize patching or mitigating this vulnerability, especially in systems that handle large inputs or rely on the Shescape library for shell escaping.

  • Denial of service (DoS) attacks can be launched by exploiting this vulnerability, leading to excessive CPU consumption.
  • Defenders need to verify if their systems are using vulnerable versions of the Shescape library.
  • Patching or mitigating this vulnerability is crucial to prevent potential DoS attacks.
  • Remediation priority is high due to the potential for significant CPU consumption and system impact.

Technical summary

The Shescape library for JavaScript is vulnerable to a denial of service (DoS) attack due to a quadratic processing issue in the flag-protection loop. This issue affects versions 2.1.11 to 2.1.14 and 3.0.1 of the library. An attacker can exploit this vulnerability by supplying a large untrusted input containing many flag fragments, causing the library to consume excessive CPU resources. The vulnerability can be triggered by large inputs, and defenders should prioritize patching or mitigating this vulnerability, especially in systems that handle large inputs or rely on the Shescape library for shell escaping.

Defensive priority

Defenders should prioritize patching or mitigating this vulnerability, especially in systems that handle large inputs or rely on the Shescape library for shell escaping.

Recommended defensive actions

  • Patch or upgrade to a fixed version of the Shescape library (2.1.14 or 3.0.1).
  • Implement input validation and sanitization to prevent large untrusted inputs from being processed.
  • Monitor system resources and implement rate limiting or other controls to prevent excessive CPU consumption.
  • Review compensating controls for exposed systems while remediation is scheduled and verified.
  • Check relevant monitoring, detection, and logs for exposed assets that need extra review.
  • Track exceptions, retest remediated assets, and close the item only after evidence is documented.
  • Confirm whether affected product deployments exist in managed environments and assign an owner for follow-up.

Evidence notes

The vulnerability is caused by a quadratic processing issue in the flag-protection loop of the Shescape library. This issue can be triggered by large untrusted inputs containing many flag fragments. The vulnerability is fixed in versions 2.1.14 and 3.0.1 of the library.

Sources and references

Verified primary and authoritative sources

  • CVE-2026-73413 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-73413

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

  • CVE-2026-73413 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-73413

    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.