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.
Security testing for software development only works when it's distributed across the SDLC, not bolted on as a single pre-release gate — here's where each test type actually belongs.
The maven-assembly-plugin bundles your project into distributable archives. It builds archives rather than extracting them, which shapes exactly which supply chain risks apply to it.
How to pick Node.js Docker images that stay small and secure: comparing slim, Alpine, and distroless variants, pinning versions, and scanning for CVEs.
How Python's pickle.dump actually works, a runnable example, and the deserialization risk that turns a saved object into remote code execution.
Calling python pickle load on data you do not fully control can execute arbitrary code. Here is why, and what to use instead.
A defensive SQLi cheat sheet that shows how injection works conceptually, how to spot it in code and traffic, and the parameterization patterns that actually stop it.
Python mock is part of the standard library and is safe to use, but leaning on it carelessly can hide real security behavior behind fake return values.
A clear Terraform definition for engineers, plus what the tool actually does, how state works, and where the security responsibilities sit.
The python.org website itself is the official, safe source for Python. The real risk lives one step downstream, on PyPI, where typosquatted packages wait for a typo.
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