Dr. Binary @drbinaryai
Expert-grade binary analysis for AI agents drbinary.ai Riverside, CA Joined February 2023-
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Agentic RE gets useful when the agent can ask grounded questions: can attacker input reach this function, is this CVE triggerable in this firmware, what changed between releases. Those expert analyses run over MCP or browser. drbinary.ai
@simonroses Love seeing debugger/RE tooling meet agents. When the agent needs grounded binary answers — reachability, CVE triggerability, release diffs — those expert analyses are available over MCP or browser. drbinary.ai
@JeffMorley20887 Agreed that LLMs help interpret but grounded decomp (Ghidra/Hex-Rays) still anchors truth. For reachability / CVE triggerability / what changed between builds, agents can ask those expert analyses over MCP or browser. drbinary.ai
@AbuZ8Studios Agent skills with gates and stop-signals keep RE agents honest on APKs. When you need grounded reachability or release-integrity beyond local dex work, we run those expert analyses over MCP/browser. drbinary.ai
@0xor0ne @qkaiser Grounded analyses agents can ask — reachability, triggerability, what changed between builds — is the missing piece next to AI-assisted research workflows. drbinary.ai
@johnk3r JEV as a pre-screen before LLM on APKs is a solid pipeline. When agents need expert-grade answers — can attacker input reach this function, is this CVE triggerable in this build — without babysitting RE, that is what we run. drbinary.ai
@5mukx Recurse + r2/r2ghidra as an agentic RE env is the right direction — agents still need expert-grade analyses they can ask over MCP (reachability, release diffs, CVE triggerability) without babysitting every session. drbinary.ai
@0xor0ne @qkaiser AI-assisted vuln research on embedded is a great fit for agent loops that can ask expert analyses on the firmware — reachability, triggerability, what changed between builds. drbinary.ai
@centiniels Constraining the model with semantic IR helps a lot — we go further with expert analyses agents can ask over MCP/browser so they skip babysitting low-level sessions. drbinary.ai
@diguapet Nice — once the debugger is an MCP tool, the next bottleneck is expert-grade answers on the binary itself (reachability, release diffs, CVE triggerability) without babysitting every step. drbinary.ai
@0xor0ne Binary manipulation at distro scale is exactly where agent loops need grounded analyses — what changed between builds, can attacker input reach X, is this path actually triggerable. drbinary.ai
@centiniels @typesafeai Token burn on raw RE prompts is real — the useful gap is still expert analyses an agent can ask (diff two builds, is this input reachable, is the CVE triggerable here) without babysitting the session. drbinary.ai
@gastronomy Agentic LLM security papers keep landing — the useful pattern is agents that ask expert questions of binaries, not just more chat around the edges. drbinary.ai is ready-to-use binary analysis over MCP or in the browser.
@onekey_sec CRA reporting going live is the product-sec workflow moment — once SBOM/vuln data flows, the next question is which firmware findings are reachable in this build. drbinary.ai runs those analyses over MCP or in the browser.
@oswalpalash AI chewing through a kernel tree that fast is wild — the bottleneck shifts to verifying which findings are actually reachable and triggerable in this build. drbinary.ai does those expert analyses over MCP or in the browser.
@i2huer SRE-Bench getting cooked by frontier models is the right pressure test for agentic RE — the hard part stays expert analyses on real binaries, not more chat. drbinary.ai runs those over MCP or in the browser with no local RE stack.
@iasg1004 PLC blobs with silent vendors are the classic agent loop: unpack, map entry, ask reachability. When you want expert analyses without babysitting a local RE stack, drbinary.ai runs them over MCP or in the browser.
@nmatt0 Moria/Mithril no-deps firmware extraction is exactly what agent loops need. Once unpacked, next questions are reachability and CVE triggerability in this build — drbinary.ai
@BinaryWizards @reconmtl Vibe reversing across IDA/Ghidra/Binja is the agentic RE future — tools differ, questions stay the same: what changed between builds, can input reach this path. drbinary.ai runs those without a local RE babysit.
@belsploit Discarded validator return on the mount path is a classic firmware footgun — once you have the image, the next questions are reachability and whether attacker-controlled superblock fields actually hit the bad path in *this* build. drbinary.ai
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