Deep dives, practical guides, and incident analyses from engineers who build Safeguard. No fluff, no vendor FUD — just what you need to ship secure software.
Build systems transform source code into deployable artifacts. When attackers poison the build, every artifact is compromised. Here is how it happens.
Real incidents like the xz-utils backdoor reveal the anatomy of a go module supply chain compromise: maintainer trust, init() execution, and immutable proxy caching.
Publishing a package to a public registry makes your code part of thousands of supply chains. This checklist covers the security controls that responsible maintainers implement before and during publication.
Python's setup.py runs arbitrary code during package installation. Despite efforts to move to declarative metadata, the risk persists.
The wrong naming convention for internal packages makes dependency confusion attacks trivial. Here is how to name packages so attackers cannot substitute them.
Python wheels are the standard packaging format, but their security verification story has significant gaps that most developers never consider.
Risk scoring turns complex supply chain data into actionable numbers. But the algorithms behind these scores have assumptions and blind spots that security teams must understand.
Starjacking exploits the trust developers place in GitHub stars and repository metadata. Attackers link malicious packages to popular repositories to appear legitimate. Here is how it works.
A 2024 CocoaPods Trunk server flaw let attackers hijack orphaned pods and exposed a deeper gap: Podfile.lock never verified dependency integrity in the first place.
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