● LIVE Adversarial AI for offensive security

Mine your 0-days before someone else does.

ZeroQuarry runs an adversarial multi-agent loop across your source, binaries, and live cloud assets. It finds real vulnerabilities, drafts the patches, and filters the noise.

Open the Cloud Console → See the agents debate

3 layers

Source · Binary · Live

0 noise

FILTERED BY DEBATE

CVSS 3.1

Pentester-grade reports

session://red-vs-vendor · target=auth-svc LIVEturn 07

RED TEAM VENDOR TEAM awaiting verdict…

01 · Attack Surfaces

One platform.
Every attack surface.

Most tools look at only one layer. ZeroQuarry's agents work across the code you write, the binaries you ship, and the systems your customers actually use.

01 Source

req.body.email

Object.assign

user.role

db.update()

Source code scanning

Connect your Git repos; agents continuously analyze every commit, tracing data flows from user input to dangerous sinks.

taint & flow analysis
logic bugs, authZ drift
PR-level signal

02 Binary

0x00400820 48 89 e5 48 8b 7d f8 e8 7c ff

0x00400830 ff ff 89 c6 48 8d 3d 94 01

0x00400840 00 00 b8 00 00 00 00 e8 6b

0x00400850 ff ff ff 90 c9 c3 55 48 89

0x00400860 e5 48 83 ec 20 48 8b 7d e8

Binary reverse engineering

Upload compiled artifacts. Agents lift to IR, chain primitives, and surface memory safety, weak crypto, and embedded secrets.

x86_64 · ARM64 · WASM
ROP / UAF detection
SBOM diffing

03 Live

[14:02:18] GET /api/users/42 200

[14:02:19] GET /api/users/43 401

[14:02:19] GET /api/users/42?x=1 200 IDOR?

[14:02:20] POST /api/auth 200

[14:02:20] ⚑ rate-limit bypass via X-Forwarded-For

Live asset testing

Point ZeroQuarry at running APIs, web apps, and cloud services. It probes like a pentester would. Safely, continuously, only with your consent.

BOLA · SSRF · auth bypass
Rate-limit & tenancy checks
AWS · GCP · Azure scans

02 · The Method

Two agents.
One debate. No hallucinations.

A finding only reaches your inbox after a red-team agent proves it and a vendor-team agent fails to knock it down. Spurious claims die in the ring.

● Red Team Agent · agent_rt_0x91

Thinks like an attacker.

Probes for vulnerabilities, chains primitives into working exploits, and builds reproducible proofs of concept.

system prompt · excerpt You are an offensive security researcher. Your goal is to prove exploitability, not merely to flag suspicious code. Every finding must include a minimal PoC. Assume the target is hardened; push past easy signatures.

● Vendor Team Agent · agent_vt_0xA4

Thinks like a defender.

Pokes holes in red-team claims, flags false positives, and forces concrete evidence before anything reaches a human.

system prompt · excerpt You are the vendor's senior engineer. Your job is to reject unsubstantiated claims. Demand working PoCs, reject speculative severity, and propose the narrowest fix that closes the actual class of bug.

STEP 01

Connect your assets

Link a Git repo, upload a binary, or register a URL. Most scans are done before you have time to return from the coffee machine.

STEP 02

Agents deploy

Red team launches reconnaissance. Vendor team spins up a parallel defensive model of your system.

STEP 03

The debate runs

Claims are proven, countered, or discarded. Watch the reasoning live, or check back later.

STEP 04

Reports & patches

Findings ship with a CVSS-style score, a working PoC, and a drafted patch. Review, tweak, merge.

03 · The Output

Reports you'd actually ship to prod.

Not another dashboard full of "potential issues." Every ZeroQuarry finding comes with scoring, reproduction, and a candidate fix.

ZQ-2042 auth-service/middleware/jwt.ts Critical

Algorithm confusion in JWT verification enables account takeover.

The service accepts tokens signed with HS256 and RS256 using the same verifier. An attacker can forge HS256 tokens by signing with the public key as the HMAC secret, bypassing signature validation entirely.

Severity

Critical

Attack

NETWORK

Privileges

NONE

Impact

C:H / I:H / A:L

── patches/ZQ-2042.diff ──

export function verify(token: string) {

return jwt.verify(token, key);

return jwt.verify(token, key, {

algorithms: ["RS256"],

});

}

PROVEN, NOT GUESSED

Every finding ships with a reproducible PoC and the exact request stream that triggered it.
PATCHES, NOT TICKETS

The vendor-team agent drafts the narrowest fix. You review the diff, tweak, and merge.
EXPORT ANYWHERE

Jira, GitHub Issues, Slack, your SIEM, or raw JSON / SARIF. ZeroQuarry meets your workflow, not the other way around.

04 · Built for teams that ship

Plugs into the way you already work.

Opinionated where it matters, boring where it shouldn't surprise you. Ship ZeroQuarry alongside your existing stack.

◉

F.01

Continuous coverage

Scan on every push, every build, every deploy. New CVEs don't wait for your quarterly pentest.

⌘

F.02

Bring your own LLM

Use your Anthropic, OpenAI, or Google key to keep data in your account. Or let ZeroQuarry host inference.

∆

F.03

Hallucination guardrails

The adversarial loop filters spurious findings before they reach a human. Your queue stays signal-heavy.

⟐

F.04

Patch drafting

Every finding comes with a candidate fix formatted as a reviewable diff, ready to merge.

≡

F.05

CVSS-style reports

Pentester-grade write-ups with scoring, reproduction, and remediation formatted for your stakeholders.

↯

F.06

Export anywhere

Jira, GitHub Issues, Slack, SIEM, SARIF, JSON. Meet your team on the rails they already ride.