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PatchSiren cyber security CVE debrief

CVE-2026-21811 HCL Software CVE debrief

The HCL AppScan Azure Boards Plugin is vulnerable to an Information Disclosure issue, exposing secrets in plaintext during pipeline execution. These secrets could be accessible through task outputs, debug logs, environment variable dumps, or build agent scripts. The vulnerability has a CVSS score of 3.8 and is considered low severity. Defenders and security teams should assess their exposure and verify pipeline configurations to prevent secret exposure. This requires reviewing task outputs, debug logs, environment variable dumps, and build agent scripts for potential secret exposure.

Vendor
HCL Software
Product
AppScan Integration with Azure Boards for ASoC & A360
CVSS
LOW 3.8
CISA KEV
Not listed in stored evidence
Original CVE published
2026-10-22
Original CVE updated
2026-10-30
Advisory published
2026-10-22
Advisory updated
2026-10-30

Who should care

Defenders and security teams responsible for configuring and monitoring HCL AppScan Azure Boards Plugin pipelines should assess their exposure and verify pipeline configurations to prevent secret exposure.

Why it matters

The HCL AppScan Azure Boards Plugin vulnerability requires defenders to verify pipeline configurations and review potential secret exposure to prevent information disclosure.

  • Verification of pipeline configurations to prevent secret exposure
  • Review of task outputs, debug logs, environment variable dumps, and build agent scripts for potential secret exposure
  • Implementation of compensating controls to monitor and track sensitive information

Technical summary

The HCL AppScan Azure Boards Plugin is potentially affected by an Information Disclosure vulnerability involving secrets accessible in plaintext during pipeline execution. Depending on the pipeline configuration, these secrets could be exposed through task outputs, debug logs, environment variable dumps, or build agent scripts, despite being masked in the user interface. The vulnerability has a CVSS score of 3.8 and is considered low severity. Defenders should prioritize verifying pipeline configurations and reviewing task outputs, debug logs, environment variable dumps, and build agent scripts for potential secret exposure.

Defensive priority

Defenders should prioritize verifying pipeline configurations and reviewing task outputs, debug logs, environment variable dumps, and build agent scripts for potential secret exposure.

Recommended defensive actions

  • Verify pipeline configurations to prevent secret exposure
  • Review task outputs, debug logs, environment variable dumps, and build agent scripts for potential secret exposure
  • Implement compensating controls to monitor and track sensitive information
  • 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 CVE record and source item provide details on the vulnerability, including its description, CVSS score, and affected product. However, the corpus does not establish specific versions, exploitation, impact, or remediation, requiring verification from official sources.

Sources and references

Verified primary and authoritative sources

  • CVE-2026-21811 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-21811

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

  • CVE-2026-21811 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-21811

    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.