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PatchSiren cyber security CVE debrief

CVE-2026-55422 conda-forge CVE debrief

A stored DOM XSS vulnerability exists in conda-forge.org due to unsanitized use of dangerouslySetInnerHTML in the status dashboard. This issue allows for the embedding of raw output from processing conda-forge feedstock and upstream source artifacts, which can lead to security risks. The vulnerability is caused by two React components using dangerouslySetInnerHTML without sanitization. JSON files are automatically produced by the conda-forge autotick bot while processing every conda-forge feedstock and its upstream source artifacts.

Vendor
conda-forge
Product
conda-forge.github.io
CVSS
MEDIUM 4.6
CISA KEV
Not listed in stored evidence
Original CVE published
2026-10-23
Original CVE updated
2026-10-29
Advisory published
2026-10-23
Advisory updated
2026-10-29

Who should care

Defenders responsible for maintaining and securing React components, especially those using dangerouslySetInnerHTML, should assess exposure and prioritize sanitization of user-input data.

Why it matters

Defenders should care about CVE-2026-55422 because it involves a stored DOM XSS vulnerability in conda-forge.org due to unsanitized use of dangerouslySetInnerHTML. This requires verification and sanitization of user-input data, especially in components that render externally-sourced strings as HTML.

  • Potential for XSS attacks through unsanitized user-input data
  • Need for sanitization of externally-sourced strings in React components
  • Verification of React component configurations to prevent DOM XSS

Technical summary

The vulnerability exists due to two React components rendering externally-sourced strings directly as HTML using dangerouslySetInnerHTML without sanitization. This allows for the embedding of raw output from processing conda-forge feedstock and upstream source artifacts. The error/status strings embed raw output captured from those processes (build logs, patch output, tracebacks). The website renders them verbatim as HTML. At time of publication, there are no publicly available patches. Defenders should prioritize verifying and sanitizing user-input data, especially in components that render externally-sourced strings as HTML.

Defensive priority

Defenders should prioritize verifying and sanitizing user-input data, especially in components that render externally-sourced strings as HTML.

Recommended defensive actions

  • Verify and sanitize user-input data, especially in components that render externally-sourced strings as HTML
  • Assess exposure of React components using dangerouslySetInnerHTML
  • Implement sanitization for externally-sourced strings
  • 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 two React components using dangerouslySetInnerHTML without sanitization. JSON files are automatically produced by the conda-forge autotick bot while processing every conda-forge feedstock and its upstream source artifacts.

Sources and references

Verified primary and authoritative sources

  • CVE-2026-55422 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-55422

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

  • CVE-2026-55422 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-55422

    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.