AI Slop and the Vulnerability Treadmill
Software security teams are facing increasing challenges due to vulnerabilities exacerbated by AI tools. Recent incidents highlight how AI-generated code is leading to a surge in security flaws and sophisticated attacks. The ecosystem is struggling to adapt to these changes, raising concerns about the integrity of contributions and the effectiveness of existing security measures.
- ▪In March 2026, more CVEs were attributed to AI coding tools than in all of 2025 combined.
- ▪Hackers have used AI-enabled social engineering to compromise software packages, such as the Axios npm cURL package.
- ▪AI-generated reports are overwhelming bug bounty programs, making it difficult for experts to verify genuine vulnerabilities.
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console.log() AI Slop & the Vulnerability Treadmill By kate holterhoff | May 5, 2026 Share via Twitter Share via Facebook Share via Linkedin Share via Reddit It has not been a relaxing few months for software security teams. In December, React disclosed its first critical CVE: an unauthenticated remote code execution flaw in Server Components. In March, not only was Aqua Security’s Trivy, a widely-used security scanning tool, compromised twice in three weeks through a GitHub Actions misconfiguration, but hackers also compromised a maintainer account for the Axios npm cURL package in order to publish backdoored versions containing a cross-platform remote access trojan that silently exfiltrated credentials.
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