application-security
Safeguard articles tagged "application-security" — guides, analysis, and best practices for software supply chain and application security.
642 articles
Dependency Injection in JS: A Practical Security Guide
Dependency injection in JS improves testability, but it also becomes an attack surface when injection is dynamic or unvalidated. Here is how to keep it safe.
Why Hyperscaler Partnerships Are Becoming Table Stakes fo...
Google's ~$32B Wiz deal signaled it: hyperscaler marketplaces, partner programs, and native tooling now shape how AppSec buying actually happens.
Fixing vulnerabilities in Maven projects
Maven vulnerability remediation isn't just running mvn versions:use-latest — here's how to triage, patch, and verify fixes without breaking builds.
The Quiet Consolidation of SCA, SAST, and Container Scann...
A wave of PE buyouts and platform acquisitions is quietly folding SCA, SAST, and container scanning into fewer, bigger AppSec platforms. Here's what's driving it.
Fixing vulnerabilities in Gradle projects
Gradle's resolved dependency graph rarely matches build.gradle. Here's how to find, force-fix, and lock vulnerable transitive dependencies for good.
The ultimate guide to creating a secure Python package
A concrete, numbers-first guide to locking dependencies, signing releases, and scanning for CVEs when building a secure Python package.
Command injection in Python: examples and prevention
Python command injection lets attackers run arbitrary OS commands via os.system() or subprocess. Learn how it works, a real CVE, and how to prevent it.
How Analyst Firms Are Redrawing Category Lines Around ASPM
Gartner, Forrester, and other analyst firms are redrawing the boundaries around ASPM, CNAPP, and traditional AppSec testing — reshaping how security teams buy and organize tools.
Code injection in Python: examples and prevention
How Python code injection (CWE-94) works, real CVEs like PyYAML's CVE-2020-14343, and concrete steps to detect and fix it before attackers do.
10 dimensions of Python static analysis
Python static analysis spans ten distinct techniques, from AST linting to reachability analysis — most teams run only two or three, missing real exploitable risk.
Symmetric vs asymmetric encryption: practical Python examples
Symmetric vs asymmetric encryption explained with working Python code: AES-256-GCM, RSA-OAEP, hybrid encryption, and the mistakes that cause real breaches.
Using Python libraries for secure network communication
A look at requests, urllib3, cryptography, and paramiko: real CVEs (Terrapin, header leaks), insecure defaults, and how to pin them safely.
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