u/voidrane

had a case where i only had a 4 year old profile picture and a dead username. spent 2 days doing name > address > socials and got nowhere.

out of frustration i tried reversing it. started with the picture, then used the metadata from where that picture was still cached, not even where it was posted. that one cache hit gave me a second username, and that second username had a completely different breach attached to it.

went from dead end to current city + workplace in like 30 mins.

makes me wonder how much time i've wasted doing it in the "correct" order. anyone else work backwards like this?

fr. one scrapes, one pivots, one jailbreaks itself to not be a little bitch about tos, one writes the report.

i just give it a target handle and wake up to a full dossier. no api costs, all local-ish.

is this even allowed to talk about here? feels like cheating...

tried hunting llm and rag bugs for a month as an experiment. prompt injection, tool poisoning, memory leaks in agents. way less crowded than normal web stuff.

got two low severity findings first week just by testing system prompt boundaries and mcp stuff. payouts are decent too. anyone else making the switch? curious what methodology you use for scoping ai apps.

i was paying way too much for cloud agents that would time out. moved everything local with openclaw + claude code + some custom mcp gateways.

now i have 5 persistent guys running: morning brief, stock watcher, discord mod, deep research, and calendar triage. they run on local silicon via cloudflare tunnel so they are always on even when lid closed.

took two weeks to get stable but now it just runs. no more "session expired" bs.

anyone else self hosting persistent agents? what are you using for memory / context so they dont get dumb after a day?

for a year i only used it to open tesla charge ports lol. turned off tvs, etc....

then i loaded 37 real payloads that are not in the docs. plus some badusb stuff that modern av just ignores. now it lives in my pocket permanently. what payload made your flipper actually useful?

started hunting vulns in llms, rag systems and agents instead of normal web apps. prompt injection, data exfiltration, the whole ai bug bounty thing. payouts are wild right now. found my first 5k bounty last week with like 3 prompts. anyone else pivot from normal bug bounty to ai stuff? feels way less saturated.

spent a long time convinced i just wasnt good at recon. running the same tools everyone recommends, coming up dry, watching people find assets on the same targets i swore i had covered.

the tools were never the problem. it was sequence and dedupe. i was running scans before resolving, opening hosts in a random order, and losing net-new assets in the gaps between passes because i wasnt deduping properly between stages. once i fixed the order the pipeline runs in, the same targets started coughing up subdomains and services i had completely missed the first three times.

genuinely almost quit over this. it wasnt skill or tooling, it was that one boring structural thing nobody explains because the people who know it think its obvious.

whats the recon step you think most people run in the wrong place? mine was resolution, i had it way too late.

need something to monitor power negotiation for diy boards, looking under 80 dollars. seen the fnirsi fmb1 and witrn c4 mentioned a lot. which one plays nice with linux and has open source firmware. bonus if it logs to csv

been using codellama 7b through ollama to generate boilerplate for esp32 projects and explain compiler errors. it is not perfect but saves time on pin mapping and library docs. do you prompt it differently for embedded c versus python. would love to see example prompts that actually work