Preventing SSRF in Node.js applications
A single unvalidated URL in a fetch or axios call can let an attacker reach 169.254.169.254 and steal cloud credentials — as the 2019 Capital One breach showed.
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.
A single unvalidated URL in a fetch or axios call can let an attacker reach 169.254.169.254 and steal cloud credentials — as the 2019 Capital One breach showed.
A single sudo pip install can overwrite files an OS package manager owns — PEP 668 exists because that anti-pattern was common enough to break Linux distros.
Python's own docs warn that unpickling can execute arbitrary code — yet pickle is still the default weight format behind millions of ML model downloads.
In a 300-run benchmark, the best LLM scanner hit 75.4% F1 while a deterministic SAST baseline hit 100% — but the real story is in what varies between runs.
NIST finalized PQC standards in 2024, but most companies can't even inventory where RSA and ECC live in their stack. Here's a realistic migration roadmap for AppSec teams.
AppSec used to mean scanning code for known bugs. Here's why that's no longer enough, what CVE-matching tools like Snyk miss, and what a real supply chain security program requires.
CodeQL's default setup is fast but limited; advanced setup adds control but more YAML to maintain. Here's how the two compare, and where Safeguard fits in.
GHAS matches secrets against ~200 partner patterns. We break down where that coverage ends and how Safeguard's layered detection catches what pattern lists miss.
How GitHub Secret Protection's push protection, custom patterns, and validity checks actually work post-GHAS split, and where the coverage gaps still leave secrets exposed.
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