Outdated & End-of-Life Software

Find the software nobody is maintaining anymore

SecureSlate scans the manifest and config files in your GitHub repositories for frameworks and runtimes that are no longer maintained, ranks what it finds by severity, and tells you which supported version to move to.

Outdated and end-of-life software dashboard showing repositories scanned, components past end of life, and critical findings

Why end-of-life software matters

Unmaintained software does not get safer with time.

The vulnerability window never closes

When a component reaches end of life, any flaw found afterwards stays open forever. There is no patch to apply, so the only fix is a migration you have not planned.

Exposed runtimes are the real danger

An unsupported web server or language runtime handling live traffic is a standing invitation. Attackers scan for known versions precisely because they know no fix is coming.

It is pinned in a file nobody revisits

A version pinned in a .nvmrc, a Gemfile, or a Dockerfile keeps working long after support ends. Nothing breaks, so nothing prompts anyone to look, and the pin quietly ages past its support date.

Know what is ageing out

Published end-of-life dates, the file that pins each version, and the release to upgrade to.

Scan Every Repository for Unmaintained Software

Add a GitHub repository and SecureSlate checks its manifest and config files against published end-of-life dates. One dashboard tracks how many repositories are scanned, how many carry outdated software, how many components are already past end of life, and how many findings are critical. End-of-life detection is currently available for GitHub.
End-of-life dashboard showing repositories scanned, components past end of life, and critical findings

Know How Urgent Each Finding Is

Findings are ranked by severity across the whole scan, so what needs attention first is obvious rather than buried in a flat list. Click any severity to filter the findings down to it.
Severity breakdown of end-of-life findings across a scanned repository

See Which Frameworks and Runtimes Are Affected

Findings are grouped by the software they belong to, such as Node.js, Django, Express, and Flask, with a count for each. That tells you straight away whether you are looking at one runtime pinned in several places or a spread of separate upgrades, and you can filter the list down to any one of them.
Detected software breakdown showing affected frameworks and runtimes with counts

Every Component, With the Date Support Ended

The findings list gives you the software, the exact version in use, its category, whether it is a runtime or a framework, the file that declares it, and the date its support ended. Search and filter across the list, export it, or rescan the repository when you have shipped the upgrades.
Findings table listing software, version, category, file, and end-of-life date

Pinpointed to the File That Pins the Version

Open a finding and you get its lifecycle, status, severity, category, the exact version, and the end-of-life date, along with the file and line that pins it, whether that is a .nvmrc, a .python-version, a Gemfile, or a Dockerfile. There is no guessing about which file your team needs to change.
End-of-life finding detail showing status, version, location, and end-of-life date

Told Exactly What to Upgrade To

Each finding names the release to move to, such as upgrading an end-of-life Node.js to the current LTS, and explains why it matters: once a component is past its date, vulnerabilities found afterwards stay unpatched. One click generates a ready-made instruction for the AI coding agent your developers already use, and the file itself is one link away on GitHub.
Upgrade recommendation with an agent instruction and a link to the file on GitHub
FAQs

End-of-life questions answered.

Find what is running out of support

See which frameworks and runtimes in your repositories are no longer maintained, and what to upgrade them to.

Jamie
Virtual Agent

Hi! I'm Jamie. Curious about your current compliance challenges and how automation might help your team?