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CVE-2026-115557 Python Software Foundation CVE debrief

Python has added a denylist for known compromised certificates to the 'ssl' module. This change ensures user safety even without certificate revocation configured, as known compromised certificates will automatically be rejected regardless of the SSLContext policy configuration. The update aims to enhance security by preventing the use of compromised certificates, thereby reducing the risk of potential attacks. Defenders and developers should review their SSLContext configurations and verify that their Python environments are using the updated 'ssl' module.

Vendor
Python Software Foundation
Product
CPython
CVSS
CRITICAL 9.4
CISA KEV
Not listed in stored evidence
Original CVE published
2026-10-24
Original CVE updated
2026-11-02
Advisory published
2026-10-24
Advisory updated
2026-11-02

Who should care

Defenders and developers using Python's 'ssl' module should review and update their SSLContext configurations to align with the new denylist. They should also verify that their Python environments are using the updated 'ssl' module.

Why it matters

The update to Python's 'ssl' module to reject known compromised certificates is crucial for ensuring user safety. Defenders and developers should review and update their SSLContext configurations and verify that their Python environments are using the updated module.

  • Defenders should assess exposure and verify that their Python environments are using the updated 'ssl' module to reject known compromised certificates.
  • Defensive priority is given to reviewing and updating SSLContext configurations to align with the new denylist.

Technical summary

Python has added a denylist for known compromised certificates to the 'ssl' module. This change ensures user safety even without certificate revocation configured, as known compromised certificates will automatically be rejected regardless of the SSLContext policy configuration. The update aims to enhance security by preventing the use of compromised certificates, thereby reducing the risk of potential attacks. The denylist is a critical addition to the 'ssl' module, as it helps to mitigate the risks associated with compromised certificates. Defenders and developers should review their SSLContext configurations and verify that their Python environments are using the updated 'ssl' module to ensure maximum safety

Defensive priority

Defenders should prioritize reviewing and updating their SSLContext configurations to align with the new denylist. They should also verify that their Python environments are using the updated 'ssl' module.

Recommended defensive actions

  • Review and update SSLContext configurations to align with the new denylist
  • Verify that Python environments are using the updated 'ssl' module
  • Monitor for updates on affected versions and exploitation
  • Confirm whether affected product deployments exist in managed environments and assign an owner for follow-up
  • Plan vendor-supported updates or mitigations through normal change control where exposure is confirmed
  • 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

Evidence notes

The CVE record and source references provide information about the addition of a denylist for known compromised certificates in the Python 'ssl' module. However, details about specific affected versions or exploitation are not provided.

Sources and references

Verified primary and authoritative sources

  • CVE-2026-115557 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-115557

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

  • CVE-2026-115557 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-115557

    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.