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Apex investigates like an attacker, tracing subtle logic flaws and chained exploits through code and running systems that scanners and even expert reviews have already cleared.

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Minting signed sessions for a stranger

Critical CVSS 9.6 Validated Auth-boundary break

Most tools stop at the first clean denial. Apex exhausted the obvious doors, ran a 59-variant bypass sweep, then changed direction until it found the hidden route that gave way.

Recorded attack path

  1. Direct routes exhaustedApex tested the obvious authorization paths and a 59-variant bypass sweep.
  2. The investigation pivotedAn exposed monitor and SSRF tunnel revealed a route the initial scan could not see.
  3. The trust boundary failedThe internal finalizer minted a signed session for a foreign user.

The full recorded path is shown below

Apex attack path from exhausted direct routes through a monitoring-console and SSRF pivot to a forged foreign session

Exploit evidence / remediation status

Every finding arrives with a path forward

#1 on the HackerOne leaderboard

Medium

OAuth consumers retain access after token expiry

CVE-2026-57218 · CWE-863

RabbitMQ

Reproduced

Verified

High

Topic permissions fail open during metadata errors

CVE-2026-57217 · CWE-755

RabbitMQ

Reproduced

Verified

Medium

Proxy handling bypasses loopback-only authentication

CVE-2026-57216 · CWE-290

RabbitMQ

Reproduced

Verified

24 public disclosures across 15 projects

Closed loop

Scanners flag patterns. Apex proves the exploit

Apex follows the attack path across files, services, identities, and runtime behavior to expose the subtle, chained vulnerabilities that pattern matching misses. Then it writes the fix and verifies it.

Six representative examples.

  1. 01

    Traditional

    A scanner flags a pattern that might be vulnerable.

    Apex

    Apex traces a real attack path through the codebase.

  2. 02

    Traditional

    Your team investigates every finding without production context.

    Apex

    Apex determines what is reachable, relevant, and exploitable.

  3. 03

    Traditional

    Security asks engineering to reproduce and prove the issue.

    Apex

    Apex builds the proof of concept and validates the impact.

  4. 04

    Traditional

    Another ticket enters an already crowded backlog.

    Apex

    Apex writes the fix and opens a pull request.

  5. 05

    Traditional

    Engineering has to interpret guidance and ship the remediation.

    Apex

    Apex delivers a tested patch that is ready to review.

  6. 06

    Traditional

    A re-scan starts the same cycle all over again.

    Apex

    Apex verifies the remediation and closes the loop.

One workflow, whatever the starting point

Whether Apex starts with a repository, a pull request, a running application, or an existing finding, it follows the same path: investigate in context, prove what's exploitable, generate the fix, and verify the result.

  1. 01

    Start

    Start with a repository, pull request, running application, or an existing finding from Apex or another tool.

  2. 02

    Investigate

    Apex analyzes the relevant code and connected systems to understand how an attacker could reach the issue.

  3. 03

    Prove

    It validates reachability, attacker-controlled input, and real impact, or explains why the issue isn't exploitable.

  4. 04

    Fix

    Based on your policy, Apex generates the remediation, opens the pull request, or routes for human review.

  5. 05

    Verify

    Apex retests the change and records evidence that the issue has been resolved.

One control plane for application security

Apex brings code, dependencies, cloud, APIs, secrets, running applications, and AI systems into one place. Instead of stitching together disconnected scanner output, your team works from a single system that surfaces verified vulnerabilities and drives them to resolution.

Prove exploitability

Trace attacker reachability and real impact instead of escalating every theoretical issue.

Close the loop

Generate the remediation, open a pull request where configured, and verify the fix.

One workflow across your attack surface

Apply the same reasoning and policies across code, dependencies, cloud, APIs, AI systems, and runtime.

Keep control

Choose your autonomy level, require approval for consequential actions, and keep every decision logged and attributable.

What Apex covers

The security surface Apex understands, across your code and the systems around it.

Context-aware source review

Security review that catches logic flaws, auth bypasses, and injection paths that scanners miss, fast enough to keep up with AI-accelerated development.

  • Logic flaws
  • Auth bypasses
  • Injection paths

How you can use Apex

Apex meets your code at every stage, from a first look to an outside-in attack. Match the mode to the moment.

White-box source review

A full, context-aware pass over a repository, reasoning across your whole codebase about architecture, trust boundaries, and attacker paths.

Audit scan

A deeper, higher-budget pass with broader hunting and stricter validation for high-risk, trust-boundary-heavy codebases.

PR scan

Catches vulnerabilities in changed code before it merges, reviews the diff in CI and posts checks and comments on the pull request.

Fix review

Ship a fix and let Apex confirm it, retests the original finding against your patch and flags anything the fix may have introduced.

Lite scan

A fast, low-cost pass between deeper reviews, so nothing goes unchecked while you wait on a full audit.

Black-box testing

Attacker's-eye testing of your running web app, real browser and session state to find ATO, IDOR, privilege escalation, and exposed data.

Penetration testing

Expert-led offensive engagements across web, mobile, APIs, and AI systems, backed by proof and a report you can hand to auditors.

CLI and MCP

Run Apex from your terminal, CI pipeline, or coding agent, kick off scans, pull findings, and export results without leaving your workflow.

Apex finds what humans and other tools miss

coverage vs. human security reviews
0% coverage vs. human security reviews
in breaches prevented
$0B+ in breaches prevented
of false positives eliminated
0% of false positives eliminated
on the HackerOne leaderboard
#0 on the HackerOne leaderboard
I was truly impressed by the subtle bugs that Cantina uncovered in an open-source cryptographic repository that I maintain, which had already gone through thorough reviews. Their AI-powered tool acts as a valuable safety net to catch bugs that humans and other tools may have missed.
Arash Afshar Coinbase

Case studies

Spring AI

Cantina case study: how Apex found a critical RCE bug in Spring AI

Read the story
OpenSSH

Cantina case study: Apex finds 44-year-old bugs in OpenSSH

Read the story
XZ Utils

Cantina case study: catching a 15-year-old dependency bug before attackers did

Read the story

Security leaders keep asking for the same thing: a platform that helps security operate as a real partner to engineering, not just a team that sends vulnerability tickets. That's the job Apex was built to do.

Let us show you what others missed

See how Apex investigates across your attack surface, proves what’s exploitable, and carries real issues through remediation and verification.

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