[Verse 1] When machines write code, new dangers emerge Hallucinated functions that don't really work Dependencies multiply like a digital surge Shadow architectures hiding in the murk Patterns vulnerable, services undocumented AI creates what humans never intended [Chorus] Five new failures, scan and detect Static analysis, dependencies checked CodeQL hunting, Semgrep's eye Runtime watching for the lie Vulnerability scans protect From what the AI architect neglected [Verse 2] Ghost implementations haunt the codebase Functions that exist but lead to no place Dependency explosions create a maze Thousands of packages in a fragile embrace Shadow systems running behind the scenes Vulnerable patterns in generated machine dreams [Chorus] Five new failures, scan and detect Static analysis, dependencies checked CodeQL hunting, Semgrep's eye Runtime watching for the lie Vulnerability scans protect From what the AI architect neglected [Bridge] Snyk-style scanners crawl dependency trees Graph analysis maps what the human never sees Code review automation flags the suspicious lines Runtime anomalies reveal malicious designs [Verse 3] Exercise time, scan that generated code Find the weaknesses the AI bestowed Every pull request needs a careful review When silicon minds write functions for you Detection techniques guard our digital gates Before the vulnerability activates [Chorus] Five new failures, scan and detect Static analysis, dependencies checked CodeQL hunting, Semgrep's eye Runtime watching for the lie Vulnerability scans protect From what the AI architect neglected [Outro] New failure modes demand new detective eyes Machine-generated code hides security lies Scan deep, review hard, automate the hunt Keep the phantom vulnerabilities from pulling their stunt
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