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CVE-2026-50276 DataDog CVE debrief

CVE-2026-50276 is a high-severity vulnerability in the dd-trace-rb library, which is Datadog's client library for Ruby. The vulnerability allows for denial of service (DoS) attacks due to unbounded CPU and memory consumption when parsing a specially crafted HTTP header. This can occur because the library does not properly enforce limits on W3C baggage headers. An attacker can send a crafted HTTP header that causes the library to consume excessive CPU and memory, leading to a denial of service. The issue was fixed in version 2.32.0. Defenders should prioritize upgrading to this version or later and monitor their systems for unusual traffic patterns.

Vendor
DataDog
Product
dd-trace-rb
CVSS
HIGH 7.5
CISA KEV
Not listed in stored evidence
Original CVE published
2026-09-14
Original CVE updated
2026-09-25
Advisory published
2026-09-14
Advisory updated
2026-09-25

Who should care

Defenders responsible for Ruby applications using the dd-trace-rb library should assess their exposure and prioritize upgrading to version 2.32.0 or later. They should also monitor their systems for unusual traffic patterns and implement rate limiting on incoming HTTP requests.

Why it matters

CVE-2026-50276 is a high-severity vulnerability in the dd-trace-rb library that can lead to denial of service attacks. Defenders should prioritize upgrading to version 2.32.0 or later and monitor their systems for unusual traffic patterns.

  • Potential for denial of service due to excessive CPU and memory consumption
  • Need for defenders to verify and upgrade to version 2.32.0 or later
  • Importance of monitoring systems for unusual traffic patterns
  • Requirement for rate limiting on incoming HTTP requests

Technical summary

The dd-trace-rb library, used for tracing and monitoring in Ruby applications, does not properly enforce limits on W3C baggage headers. This allows an attacker to send a crafted HTTP header that causes the library to consume excessive CPU and memory, leading to a denial of service. The vulnerability is due to the library's failure to enforce DD_TRACE_BAGGAGE_MAX_ITEMS and DD_TRACE_BAGGAGE_MAX_BYTES limits during baggage extraction. The issue was fixed in version 2.32.0, and defenders should prioritize upgrading to this version or later.

Defensive priority

Defenders should prioritize upgrading to version 2.32.0 or later to mitigate this vulnerability. They should also monitor their systems for unusual traffic patterns and implement rate limiting on incoming HTTP requests.

Recommended defensive actions

  • Upgrade to version 2.32.0 or later
  • Monitor systems for unusual traffic patterns
  • Implement rate limiting on incoming HTTP requests
  • Review compensating controls for exposed systems
  • Check relevant monitoring, detection, and logs for exposed assets
  • Track exceptions and retest remediated assets
  • Confirm whether affected product deployments exist in managed environments

Evidence notes

The CVE record and NVD entry provide details about the vulnerability, including its description, CVSS score, and references to patches and advisories. The dd-trace-rb library, used for tracing and monitoring in Ruby applications, does not properly enforce limits on W3C baggage headers, allowing for potential denial of service attacks. Evidence is based on CVE and NVD data, which may have limitations in scope and details. Defenders should verify the vulnerability's impact on their systems and review official advisories for specific rem

Sources and references

Verified primary and authoritative sources

  • CVE-2026-50276 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-50276

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

  • CVE-2026-50276 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-50276

    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.