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CVE-2026-100350 getkin CVE debrief

A vulnerability in the `openapi3filter` package of `github.com/getkin/kin-openapi` causes repeated compilation of an invariant regular expression when decoding `deepObject`-style query parameters. This can lead to uncontrolled resource consumption and denial of service. The issue arises from the repeated compilation of a loop-invariant regular expression in the `openapi3filter/req_resp_decoder.go` file, triggered by an attacker-controlled and unbounded number of query keys, potentially leading to CPU saturation. Defenders should assess exposure and apply patches or mitigations to prevent potential denial-of-service attacks.

Vendor
getkin
Product
github.com/getkin/kin-openapi
CVSS
MEDIUM 5.3
CISA KEV
Not listed in stored evidence
Original CVE published
2026-10-15
Original CVE updated
2026-10-15
Advisory published
2026-10-15
Advisory updated
2026-10-15

Who should care

Defenders responsible for systems using the `github.com/getkin/kin-openapi` package should assess exposure and apply patches or mitigations to prevent potential denial-of-service attacks.

Why it matters

Defenders should prioritize assessing exposure and applying patches or mitigations to prevent potential denial-of-service attacks due to the repeated compilation of an invariant regular expression in the `openapi3filter` package of `github.com/getkin/kin-openapi`.

  • Denial of service due to uncontrolled resource consumption
  • Potential CPU saturation due to repeated compilation of invariant regular expressions
  • Need for patching or mitigation to prevent exploitation

Technical summary

The `openapi3filter` package of `github.com/getkin/kin-openapi` is vulnerable to uncontrolled resource consumption due to repeated compilation of an invariant regular expression when decoding `deepObject`-style query parameters. This occurs in the `openapi3filter/req_resp_decoder.go` file, where the `deepObject` branch of `urlValuesDecoder.DecodeObject` iterates over all query keys, recompiling a loop-invariant regular expression on every iteration. An attacker can exploit this by supplying an unbounded number of query keys, leading to CPU saturation and potential denial of service. Defenders should prioritize assessing exposure and applying patches or mitigations.

Defensive priority

Defenders should prioritize assessing exposure and applying patches or mitigations to prevent potential denial-of-service attacks.

Recommended defensive actions

  • Assess exposure and apply patches or mitigations to prevent potential denial-of-service attacks
  • Review and update affected systems to version 0.146.0 or later
  • Monitor for suspicious traffic patterns and adjust security controls as needed
  • 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 vulnerability is caused by the repeated compilation of an invariant regular expression in the `openapi3filter/req_resp_decoder.go` file. The issue is triggered by an attacker-controlled and unbounded number of query keys, which can lead to CPU saturation.

Sources and references

Verified primary and authoritative sources

  • CVE-2026-100350 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-100350

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

  • CVE-2026-100350 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-100350

    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.