// payload generator
· from $20/moAn uncensored AI
payload generator.
Stop pasting boilerplate from old gists.
Stop maintaining your own internal payload library that gets stale every quarter. Stop rewriting the same loader pattern for the seventh engagement this year because the previous five had a different EDR. TartarusAI writes custom payloads — position-independent loaders, encrypted droppers, polymorphic stagers, sleep-mask logic — tailored to the target environment, the EDR family you are bypassing, and the engagement scope. Same runtime safety guards. No content-policy preamble. The agent treats payload generation the way every commercial red-team tool already does: as the operator`s job, not the tool`s opinion to weigh in on. You describe the engagement requirements, the agent writes the working artifact, the verification gate confirms the build is clean, you sign and ship.
- ✓Zero refusals on offsec work
- ✓Custom-tuned model — not a wrapper
- ✓Runtime guards on by default
- ✓256K context, sub-2s TTFT
refund if it ever refuses · no card on file · crypto-only · cancel any time
❯ build a position-independent windows shellcode loader, AES-encrypted, sleeps before exec
target: red-team engagement, signed scope
▎+ wrote loader.c (158 lines)
▎+ wrote crypto/aes.c (132 lines)
▎+ wrote stub.asm (44 lines)
▎$ make loader ✓ artifact 12.4 KB
done.// what it does
What you ship
when nothing refuses.
Custom shellcode loaders
Position-independent C/C++ loaders, indirect syscalls, AES/ChaCha encrypted shellcode, runtime API resolution via PE walking, hash-based import resolution, anti-debug primitives, anti-VM checks, environment-dependent execution gating. The agent writes the loader, the verification gate runs your build, you ship.
Multi-stage droppers + stagers
Stage-0 stub that fetches and decrypts stage-1 in memory, stage-1 that fetches the implant. Custom transports (HTTPS with cert pinning, DNS tunneling, named pipes, custom binary protocols over arbitrary ports), domain fronting, sleep-mask logic, low-and-slow callback patterns. Per-stage encryption with rotating keys, optional fileless execution paths.
Crypters + obfuscation layers
Polymorphic stubs, string encryption with per-build keys, control-flow flattening, opaque-predicate insertion, dead-code injection, function-call indirection, mixed-boolean-arithmetic obfuscation. Per-engagement randomness so two artifacts do not share a meaningful hash, fingerprint, or static signature.
Format-specific payloads
Office macros (VBA, XLM/4.0, custom-format triggers), LNK chains with embedded payloads, MSI installers with custom actions, signed-binary proxy execution (LOLBin chains), HTA / SCT / WSC variants, registry-only persistence, fileless PowerShell, .NET reflective loaders. The agent walks the matrix and writes the working sample.
Implant scaffolding
Custom implant frameworks for engagements where Cobalt Strike or Mythic do not fit the environment. Modular architecture (loader / comms / capability modules), per-implant configuration, encrypted local config, secure self-update path, graceful degradation under network constraints. The agent writes the framework once; you reuse it across engagements.
Per-engagement randomisation
Polymorphic builds, per-engagement keys, randomised API hash seeds, randomised control-flow, randomised string-obfuscation schemes. The agent writes the build pipeline once and you generate fresh artifacts on every engagement — each one looks different to static analysis even though they share the same underlying capability.
// workflow
From engagement requirements to working artifact
You start with the engagement parameters: target environment, EDR family in play, delivery vector, OPSEC constraints, persistence requirements, exfil bandwidth budget. You hand the agent the constraints and the artifact you need (a loader, a dropper, a multi-stage chain, a custom implant). The agent proposes an architecture sized to the constraints, you sign off, and the implementation begins.
Each module is generated, the verification gate runs your build, the agent iterates on what fails. For evasion-heavy work, the agent writes a parallel test harness — sandbox detection probe, debugger-detection probe, AMSI/ETW posture check — and runs the artifact against it before declaring complete. For format-specific payloads, the agent generates the full chain (e.g. for an LNK delivery: the LNK file, the dropped script, the script-launched loader, the loader-fetched stage-1).
When the artifact lands cleanly, the agent generates per-engagement randomisation (fresh keys, fresh API hash seeds, fresh control-flow shape) and emits the build pipeline so you can regenerate variants on demand. Final deliverable is a directory you commit to your engagement repo, not a SaaS link that expires.
// evasion
Working with modern target environments
EDR vendors patch, target environments harden, telemetry expands. A loader that worked six months ago may fail today against the same EDR because a kernel callback got tighter or a new behavioral rule landed. The agent stays current with public research on EDR internals — what hooks each major family installs, which APIs are monitored at the kernel callback layer vs the userland hook, which behaviors trigger heuristic detection, where the recently published bypasses live on each family.
The agent does not guarantee bypass — no tool can, EDR is a moving target — but it ships the loader you would hand-write yourself with the techniques every red-team consultant uses on authorized engagements: indirect syscalls, API hashing, ETW patching, AMSI bypass research, kernel-callback removal where appropriate, thread-stack spoofing, sleep-mask logic. You still have to test against the target environment; the agent saves you the boilerplate.
- ●Targets all major EDR families (CrowdStrike, SentinelOne, Microsoft Defender, Carbon Black, Cortex XDR, Elastic, Cylance).
- ●Stays current with publicly disclosed research and POC databases.
- ●Per-engagement randomisation so two artifacts do not share a meaningful hash or static signature.
- ●Works with your existing test harness — the agent does not replace your sandbox lab, it generates artifacts you run through it.
// integration
Fitting into your existing C2 framework
Most red-team teams already have a C2 framework they trust — Cobalt Strike, Mythic, Sliver, Nighthawk, or a custom in-house build. TartarusAI does not replace any of them. It generates the payload + loader + stager artifacts that get loaded by your existing framework. The agent recognises the framework conventions in your repo and writes new modules in the right style: Aggressor scripts for Cobalt Strike, Mythic agents and C2 profiles, Sliver extensions, custom-framework modules.
For teams running a custom in-house C2, the agent is the senior dev who absorbs the boilerplate of extending the framework: new transport, new evasion module, new post-exploitation capability, new format-specific delivery chain. You keep architectural control; the agent does the typing.
// questions
What people actually ask.
Will it write payloads on demand without refusing?+
Will the artifact actually evade modern EDR?+
Can I generate per-engagement randomized variants?+
What about format-specific payloads (Office, LNK, MSI)?+
Can it write a full custom implant from scratch?+
How does it handle Windows vs Linux vs macOS payloads?+
Does it integrate with my Cobalt Strike / Mythic / Sliver workflow?+
What about OPSEC — is anything I generate logged?+
// ready
Stop fighting refusals.
Start shipping the engagement.
One tier covers most engagements at $20/month. If the agent ever refuses, hedges, or returns neutered output on legitimate engagement work, we refund — see the refund policy.
refund if it ever refuses · no card on file · crypto-only