GitHub and the Python Package Index (PyPI) have introduced new policies meant to boost supply chain security by preventing the fast propagation of poisoned package versions and the poisoning of old and long-stable releases.
To prevent the fast delivery of malicious code through the immediate fetching of brand-new releases, GitHub has introduced a Dependabot cooldown, where the automation tool waits for at least three days after a release has been published before opening a pull request.
“Waiting a few days before adopting a new release gives maintainers, security researchers, and automated scanners time to spot a malicious version and get it pulled before it ever reaches your pull requests,” GitHub explains.
The three-day cooldown only applies to non-security version bumps, and the behavior can be modified through the configuration option in the dependabot.yml.
“Three days as the default balances two goals: it pushes you past the window where most of these attacks live, and it doesn’t hold your dependencies back longer than necessary,” GitHub notes.
PyPI, on the other hand, is preventing the poisoning of releases older than 14 days by blocking the upload of new files to them.
“This restriction was put in place to prevent old and long-stable releases from being poisoned in case publishing tokens or workflows of PyPI projects were compromised. As far as we are aware, this has not yet been abused, but there is no technical reason beyond that attackers weren’t aware it was possible,” PyPI says.
The behavior will be enforced once ‘Upload 2.0 API’ and ‘Staged Previews’ have been standardized by PEP 694 and will affect only a small fraction of projects that still publish new files to older releases.
Testing has shown that only 56 of the top 15,000 packages “had published a 3.14-compatible wheel more than 14 days after a release was available,” PyPI explains.
According to the platform, the change should not only protect users but also eliminate cleanup work in the event of an attack, as it would be much easier to distinguish between compromised and non-compromised releases.
Related: Multiple Jscrambler Packages Impacted by Supply Chain Attack
Related: Trump Orders Defense Contractors to Map Software, Suppliers Across Critical Supply Chains
Related: North Korean Hackers Target Open Source Developers in Supply Chain Attacks
Related: North Korean Hackers Blamed for Mastra NPM Supply Chain Attack
