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GhostSys: CET-Compliant Windows Syscalls

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GhostSys: CET-Compliant Windows Syscalls

Windows 11 enforces Control-flow Enforcement Technology (CET), which breaks many classical syscall stubs and ROP chains used in red teaming. I spent the last few months investigating whether attackers can still invoke syscalls in a CET-compliant way without tripping EDRs , and how defenders can close those gaps. Within GhostSys, I formalized a post-CET syscall threat model, Five CET-compliant syscall invocation techniques (Ghost Syscalls, RBP Pivot, Speculative Probe, KCT Smuggle, eBPF JIT) with 12,000-call evaluation, 0 CET violations, no detections across three EDRs You will also find defender-focused recommendations. Check it out! Note > Some techniques within GhostSys are known - its supposed to be a systematic, reproducible study of CET-compliant syscall invocation and detection coverage, not cutting edge (eBPF jit had a similiar talk, SickCodes DEF CON talk), Specter vuln has been seen in the Pafish++, but not turned towards syscall hook detection. Gadget scanning is essentially a much more rigorous SysWhispers + Halos Gate.

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
62%62% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
TrustMRRFits verified-revenue profile · Strong signals: month, way · Missing: mobile apps, ios, personal
55%55% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntOn track for Day 1 leaderboard · Strong signals: model, code · Missing: mac, agents, macos
54%54% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: lua, 000, io · Missing: https docs, excited, just released
53%53% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Strong signals: host, calls · Missing: plus, platform, intuitive
41%41% predicted probability of success on AppSumo, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
17%17% predicted probability of success on BetaList, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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