"Chainguard, the trusted source for open source, has a unique view into how modern organizations actually consume open source software and where they run into risk and operational burdens. Across a growing customer base and an extensive catalog of over 1800 container image projects, 148,000 versions, 290,000 images, and 100,000 language libraries, and almost half a billion builds, they can see what teams pull, deploy, and maintain day-to-day, along with the vulnerabilities and remediation realities that come hand in hand."
"Over half of production happens outside of the most popular projects: Most teams may standardize on a familiar set of images, but real-world infrastructure is powered by a broad portfolio that extends far beyond the top 20 most popular, which they refer to in this report as longtail images. Popularity doesn't map to risk: 98% of the vulnerabilities found and remediated in Chainguard images occurred outside of the top 20 most popular projects. That means the biggest security burden accumulates in the less-visible part of the stack, where patching is hardest to operationalize."
Chainguard's dataset spans over 1800 container image projects, 148,000 versions, 290,000 images, 100,000 language libraries, and nearly half a billion builds. Python is the most popular open source image and powers much of the modern AI stack. Real-world production uses a broad portfolio beyond the top 20 most popular images, described as longtail images. Ninety-eight percent of vulnerabilities found and remediated occur outside the top 20, concentrating the security and operational burden in less-visible components where patching is hardest. Compliance requirements, including FIPS and industry frameworks, significantly influence production image choices.
Read at The Hacker News
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