[CVE-2026-12194] Local AI for Penetration Testing & Research
projectblack.io | research | CVE-2026-12194 | #ai-security | #agentic-ai | #vulnerability-research | #benchmark | #penetration-testing | #llm | #semgrep | #local-ai | #lfi | #phpipam
Summary
The author benchmarks four approaches, including Semgrep and fully agentic GLM 5.1 + Strix, against a known PHPIPAM authenticated LFI (CVE-2026-12194), finding the harness matters more than the model.
- CVE
- CVE-2026-12194
- Published
- Collected
--- id: 2612 title: "[CVE-2026-12194] Local AI for Penetration Testing & Research" cve: CVE-2026-12194 source_domain: projectblack.io source_url: "https://projectblack.io/blog/local-ai-for-cyber-security/" published_at: "2026-06-28 04:34" tags: ["ai-security", "agentic-ai", "vulnerability-research", "benchmark", "penetration-testing", "llm", "semgrep", "local-ai", "lfi", "phpipam"] phying_url: "https://phying.com/item/2612" lang: en --- # [CVE-2026-12194] Local AI for Penetration Testing & Research ## Summary The author benchmarks four approaches, including Semgrep and fully agentic GLM 5.1 + Strix, against a known PHPIPAM authenticated LFI (CVE-2026-12194), finding the harness matters more than the model. ## Intelligence Metadata - **Sources:** projectblack.io - **CVE:** CVE-2026-12194 - **Published:** 2026-06-28 04:34 - **Original:** https://projectblack.io/blog/local-ai-for-cyber-security/ - **Phying News:** https://phying.com/item/2612