CVE-2025-31484
Overview
CVE-2025-31484 is a known-severity vulnerability. It was published on April 2, 2025.
Technical Description
conda-forge infrastructure holds common configurations and settings for key pieces of the conda-forge infrastructure.
Between 2025-02-10 and 2025-04-01, conda-forge infrastructure used the wrong token for Azure's cf-staging access. This bug meant that any feedstock maintainer could upload a package to the conda-forge channel, bypassing our feedstock-token + upload process. The security logs on anaconda.org were check for any packages that were not copied from the cf-staging to the conda-forge channel and none were found.
Remediation
Check the references section for vendor advisories, patches, and mitigation guidance. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.
Frequently Asked Questions
What is CVE-2025-31484?
CVE-2025-31484 is a known-severity vulnerability. It was published on April 2, 2025.
How severe is CVE-2025-31484?
CVSS score information is not yet available for this vulnerability. Check back as the CVE record is updated by NVD analysts.
How do I fix or remediate CVE-2025-31484?
Check the references section for vendor advisories, patches, and mitigation guidance. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.
How can CyberStrike help with CVE-2025-31484?
CyberStrike's AI-powered security agents can automatically detect CVE-2025-31484 across your infrastructure using autonomous pentesting, DAST scanning, and HackBrowser. The platform continuously monitors for known vulnerabilities and provides actionable remediation guidance prioritized by real-world exploitability.
How CyberStrike Helps
AI agents map your attack surface to find vulnerabilities like this one.
Automated penetration testing that runs continuously, not just quarterly.
AI-driven PR review catches vulnerable dependencies before they ship.
Browser-based exploitation validates findings with real proof-of-concept.