GeezerVison is showing github.com — lupingQAQ - Overview
- Tracking 2025-2026 offensive techniques: ADCS ESC1-ESC16, eBPF rootkits, sleep obfuscation, device-code phishing, AI infrastructure CVEs
- Maintaining the published references and tooling, bilingual, release-driven
WeChat MP: IndexSec
All published work is for lawful security research, education, and authorized testing.
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An agentic penetration testing framework focused on LLM training and inference infrastructure (K8s + GPU)
Python
5
1
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Byte-level traffic classification for security product discovery, with a public benchmark split audit.
Python
2
1
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Autonomous agent that mines Java deserialization gadget chains from any JAR directory. Static bytecode analysis + dynamic JVM probes + dual-model adversarial auditing → weaponized PoC. Solving the …
Python
30
4
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Three .NET memory shells at three distinct insertion positions - HttpModule pipeline, WebSocket connection takeover, Remoting URI registration. Zero impact on unmarked traffic, no new port, no web.…
C#
14
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A Model Context Protocol (MCP) server that gives AI agents live, stateful Windows RPC attack-surface research, built on James Forshaw's NtObjectManager (NtCoreLib).
Python
16
3
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Red team skill tree — full-stack offensive security reference: recon, AD attacks, C2 development, AV/EDR evasion, cloud-native & AI-powered attacks. 红队全栈技能参考（蓝军技能树）
14
2
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