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ProjectDiscovery
@pdiscoveryio
Real, exploitable vulnerabilities. No noise. Nuclei scans fast. Neo closes the loop. @pdnuclei × @neo_ai_engineer
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Limits are reset for every free user on @neo_ai_engineer Go finish what you started:
We backdoored a 7B open model for under $50. Pointed Codex at it -> it silently stole credentials the moment we hit the trigger phrase. ->100% hit rate. -> zero false triggers on normal prompts. Abliterated models are all over the security community right now because getting cyber-approved access to frontier models is still a pain.
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Why does @NahamSec use Neo? In his experience, Neo understands the hacking context, refuses less often, and makes complex security research easier to work through. Full video: Try Neo:
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Put @neo_ai_engineer where your target is. Episode 3 of Plugged In With Neo covers Bring Your Own Sandbox: Linux and Windows setup, live troubleshooting, confinement, and what still goes to the cloud. 00:00 Welcome and episode overview 00:30 Bring Your Own Sandbox: use cases 03:06 Cloud sandbox vs. VPN, SSH, and BYOS 06:39 Demo setup with a Neo free account 07:53 Host requirements and least privilege 09:16 Linux setup and API key troubleshooting 13:20 Checking sandbox health and connection status 15:21 Installing the sandbox on Windows 17:49 Windows troubleshooting: foreground mode 19:34 Docker, host mode, and confinement settings 23:05 Windows task results and sandbox artifacts 24:55 Linux connection and PATH troubleshooting 27:43 Shared mounts and filesystem boundaries 28:31 Scan traffic, cloud data, and allowlists 29:36 Recap and advanced network controls 31:39 Updates, disconnecting, and sandbox cleanup 33:44 Linux results, Insights, and free-plan usage 35:24 Closing and future episode topics
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Neo is now free to try. Neo runs long security tasks against your apps, network, code and vulnerability backlog, with shared agents context. →  Here’s what you can do with Neo:
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Too much has been written about the OpenAI and Hugging Face incident to keep up with. We wrote the simplified version for security researchers and engineers: -> what actually happened inside training? -> how the attack evolved? ->what it means for defenders? Read:
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