Work the crash, not the refusal

A researcher staring at a crash wants the next mutation, the likely object, the missing check. They do not want a paragraph about responsible disclosure from a model that has not seen the binary.

Vulnerability researchers, patch-gap teams, and vendors reproducing issues in their own products.

Why the mainstream APIs fail here

Asking a frontier API how a use-after-free becomes a write is treated as a request to attack someone. The researcher is attacking a lab target or their own build. The refusal wastes the afternoon and teaches the model nothing about the crash.

How Redline is used for this

Send disassembly, sanitizer output and your current hypothesis. Ask for the missing check, the heap shape, the likely primitive. Cap the key so a fuzz-and-ask loop cannot run the balance to zero overnight.

A working loop

  1. Keep the target in the lab.
  2. Prompt with the crash, not with a request to attack a third party.
  3. Use a monthly cap on the research key.

Prompts are not stored. A signed receipt of the hash comes back on every call, so you can prove later what Redline logged. Details are on the privacy page. Per-model prices are on /models and the pricing model is on /pricing.

Related

AI for threat intelligenceUncensored models for threat intel: clustering IOCs, drafting actor briefs, and extracting TTPs without a safety filter eating the source. AI for SOC analystsA capped, OpenAI-compatible endpoint for SOC triage: alerts, malware notes and hunt queries, on models that do not refuse security content. AI for purple team exercisesRun purple team exercises with models that will write both the attack step and the detection, under a hard spend cap. AI for incident responseIncident response assistants on uncensored models: timelines, malware notes, comms drafts. Prompts are not stored.

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