Autonomous Pentest Agents — v1.3

Hack your own code.
Before they do.

SecureHup spins up autonomous AI agents that crawl your application, fuzz every endpoint, chain vulnerabilities together and execute real exploits in a sandboxed environment — then hand you a verified PoC, the full request trace and a ready-to-merge patch suggestion.

No credit card Results in 20 min Read-only scan
/login
/api/users/:id
auth/jwt
/admin/exec
RCE
Exploitability
HIGH
LIVE
Live Findings Stream
EXPLOIT RCE via /api/upload — PoC verified
now
CRITICAL IDOR → admin scope escalation
1s
FUZZ 142 endpoints mapped on auth-svc
3s
RECON Subdomain takeover candidate found
6s
CRITICAL SSRF → AWS metadata exfil
8s
EXPLOIT JWT alg=none → admin takeover
12s
FUZZ XSS payload stored in /comments
15s
RECON Exposed .env on dev.target.io
18s
CRITICAL Race condition in /checkout — 2x refund
22s
EXPLOIT SQLi blind boolean → DB dump
28s
EXPLOIT RCE via /api/upload — PoC verified
now
CRITICAL IDOR → admin scope escalation
1s
FUZZ 142 endpoints mapped on auth-svc
3s
RECON Subdomain takeover candidate found
6s
CRITICAL SSRF → AWS metadata exfil
8s
EXPLOIT JWT alg=none → admin takeover
12s
FUZZ XSS payload stored in /comments
15s
RECON Exposed .env on dev.target.io
18s
CRITICAL Race condition in /checkout — 2x refund
22s
EXPLOIT SQLi blind boolean → DB dump
28s
ATTACK SURFACE MAP
False Positives
0%
Every finding is exploit-verified before it reaches you.
Verified Exploits
0k+
Chained attack paths confirmed on real targets.
Avg Pentest Time
<20min
Full surface scan from first deploy to first finding.
Runs On Every PR
CI‑native
Blocks merges on verified criticals. Zero config.
Why SecureHup

Real attacks, not theory.
Built for modern teams.

Three principles that separate an autonomous red team from yet another scanner — verified impact, adversarial reasoning, and continuous coverage.

Real Exploits, Not Theory
Verified end-to-end
Sandboxed

Every finding is executed end-to-end in an isolated sandbox before reporting. You get the curl request, the response showing impact, and a reproducible attack script — no CVSS guesswork, no triage debt.

curl PoC Attack script Zero triage
Thinks Like an Attacker
Business-logic aware
AI agents

Agents reason about your app's business logic, auth model and data flows. They chain low-severity bugs across endpoints, escalate privileges and pivot between services — uncovering critical paths SAST and DAST never see.

Auth reasoning Privilege escalation Exploit chaining
Continuous, Not Quarterly
Every pull request
CI-native

Connect your repo or staging URL once. SecureHup runs a focused adversarial test on every pull request, replays your historical exploit suite, and blocks merges only when it has a verified critical finding.

PR-aware Merge gating Regression replay
The Problem

Pentesting is broken.
Your release cadence left it behind.

You ship code daily but get tested twice a year. Scanners bury real bugs under thousands of false positives. By the time a manual report lands, half the findings already shipped to prod — and the other half were never reachable to begin with.

Scanners & Annual Pentests
Legacy approach
Outdated
Pattern-matching SAST drowns devs in false positives no one triages.
Manual pentests are expensive, slow, and snapshot a single moment in time.
Scanners can't chain bugs — real exploit paths slip through every release.
The SecureHup Approach
Continuous red team
Modern
Every report is a verified exploit — zero false positives by design.
Agents reason about business logic, auth, and multi-step exploit chains.
Runs on every PR — vulns caught before merge, not after exploitation.
vs. Legacy Tooling

Pattern matchers.
Or autonomous attackers.

Traditional DAST and SAST flag signatures. SecureHup runs verified exploit chains — like a real pentester who never sleeps.

Traditional DAST & SAST
Falls short every time
Legacy

Pattern-based scanning can't reason about your app. It only matches known signatures and floods you with unverified noise.

Pattern matching, no real exploitation
Flags signatures. Never executes a real attack chain.
Blind to business logic & auth flaws
IDOR, BOLA, privilege escalation — invisible to static tools.
Endless false positives, zero PoCs
Every finding needs manual triage. No proof, just noise.
SecureHup
Verified impact, every time
Modern

Autonomous agents that think, attack and prove — running against your app continuously, not once a quarter.

Agents that actually execute attacks
Multi-step chains, real HTTP requests, verified exploitation.
Reasons about logic, not just patterns
Understands your app's business rules and auth flow.
Verified PoC for every finding
curl-ready replay steps. No triage. No false positives.

An AI red team in your pipeline

SecureHup orchestrates a swarm of specialized agents — recon, fuzzing, exploitation and post-exploitation — that work in parallel against your target. Each agent plans, runs payloads in a sandboxed browser/HTTP runtime, observes the response and adapts. The result: a real adversarial assessment delivered in minutes, not weeks.

01

Point at a Target

Drop in a repo, a staging URL or an API spec. SecureHup auto-maps endpoints, auth flows, params and your tech stack.

02

Agents Attack

Specialized agents probe injection, auth, IDOR, SSRF, race conditions — then chain findings into working exploits.

03

Ship the Fix

Findings auto-open as Jira/Linear tickets with PoC, full HTTP trace, root-cause analysis and a patch diff your devs can review and merge.

FINDING-3920 · RCE
CRITICAL
Severity
CRIT
Exploit Steps
7
Status
VERIFIED
Vector: Auth Bypass → SSRF → RCE

One offensive security layer for every release

SecureHup-AI tests what your team actually ships, connects impact across surfaces, and feeds actionable fixes back into delivery.

Target State Findings
portal.securehup.dev
Verified
2
6
3
checkout.staging
Scanning
1
4
3
identity-gateway
Finished
3
4
6
admin-console
Queued
0
2
partner-console
Finished
1
1
4

Apps, APIs & User Flows

Exercise authenticated journeys, abuse business logic, and verify exploit chains across customer-facing systems without hand-written test scripts.

SecureHup securehup-ai bot

🔴 Approval bypass in vendor payout review flow

Severity: CRITICAL · CWE-862

The POST /api/payouts/review/complete route trusts the client-supplied reviewer context and never re-checks the active approvalStage. A finance user can finalize payouts that should still require a second approver.

Recommended patch
118 const review = await PayoutReview.findById(reviewId);
118 const review = await PayoutReview.findOne({
119 _id: reviewId, approvalStage: "final", reviewerId: req.user.id});
Patch preview ▾

Repos, CI & Release Gates

Inspect diffs, risky sinks, and auth-sensitive changes inside your delivery pipeline before merge queues turn into incidents.

Finding Risk Score
Object storage exposed publicly
Critical
9.4
Build runner with admin trust
Critical
9.0
Management port reachable from internet
High
8.0
Snapshot policy missing KMS
Medium
5.2
Cluster audit hooks turned off
Medium
4.6

Cloud, Infra & Runtime

Continuously watch posture, exposed services, and trust boundaries across the environments that power your product.

Run a free test Talk to SecureHup →
Research Stack

Every scan is a
structured research operation.

Three coordinated layers — surface discovery, code analysis and exploit validation — run in parallel and converge into verified, actionable findings.

Surface Discovery
Live attack surface mapping
Layer 1

Verified targets expand into live hosts, exposed services and crawlable content through host enumeration, runtime probing and route intelligence — so exploitation never starts from a shallow map.

Subdomain Port scan TLS DNS Web crawler API scout
Code & Supply Chain
Commit-level risk review
Layer 2

Repository and pull-request targets are inspected through layered static, dependency and IaC analysis — secrets, risky sinks and supply-chain exposure surface before release pressure buries them.

Secrets SAST Dependencies SBOM Config audit IaC
Exploit Validation
Verified impact, not noise
Layer 3

SecureHup turns mapped surface and static evidence into replayable attack paths — agentic pentest, fuzzing and exploit chaining end in reproducible HTTP evidence, ready for your dashboard.

Web vuln Fuzzer XSS SQLi AI pentest Chain replay
Core Features

Everything you need.
Nothing you don't.

Eight capabilities that turn SecureHup from "another scanner" into an autonomous red team — recon, auth, chaining, CI, logic, reporting, and an AI co-pilot that talks to your engineers both in chat and inside every pull request.

Autonomous Recon
Attack surface map
Discovery

Crawls your app via headless browser and API spec, fingerprints frameworks and dependencies, enumerates hidden endpoints, parameters and roles — building an attack surface map in minutes, not days.

Headless crawl API spec Fingerprint
Auth & Access Testing
OWASP API Top 10
Identity

Covers the full OWASP API Top 10: IDOR, BOLA, JWT alg confusion, OAuth scope abuse, session fixation, role swapping. Tests every endpoint as multiple user personas to surface horizontal and vertical privilege gaps.

IDOR / BOLA JWT Multi-persona
Exploit Chaining
Multi-step kill-chains
Agentic

A single low-severity bug is rarely the story. SecureHup combines info leaks, weak access controls and misconfigurations into multi-step kill-chains — turning "informational" findings into proven account takeover or data exfil.

Kill-chain Takeover Data exfil
CI/CD Native
Diff-aware gating
Pipeline

Native runners for GitHub Actions, GitLab CI and Jenkins. Diff-aware: tests only the routes a PR actually touches in under 5 minutes, then runs the full suite nightly. Blocks merges only on verified, exploitable critical findings.

GitHub / GitLab PR diff <5 min
Business Logic Flaws
Reasoning, not patterns
Logic

Race conditions in checkout, coupon-stacking, workflow bypass, negative quantities, multi-tenant data leaks. Agents read your app like a user with bad intent and probe the rules behind the rules — bugs scanners structurally cannot see.

Race conditions Workflow bypass Multi-tenant
Reproducible Reports
curl-ready PoC
Deliverable

Every finding ships with a curl one-liner PoC, the full HTTP request/response trace, an annotated exploit timeline, root-cause analysis pointing at the offending code, and a suggested patch your engineers can review and merge.

curl PoC HTTP trace Patch diff
AI Security Chatbot
Ask. Reason. Fix.
Co-pilot

A conversational agent grounded on your codebase, findings and threat model. Ask "why is this CRITICAL?", "how would an attacker chain this?" or "draft a fix for endpoint X" — get reasoned answers with source-line citations, recommended patches and follow-up checks.

Repo-grounded Cited answers Patch drafts
SecureHup AI on GitHub
Reviews. Comments. Suggests.
PR-native

The bot lives inside your GitHub workflow — drops inline review comments on the exact lines that introduce risk, posts a per-PR security summary, and pushes one-click "Apply suggestion" patches engineers can merge without leaving the diff view.

Inline review PR summary Apply suggestion
Attack Chains

What SecureHup finds.
What scanners miss.

Real engagements from real customer apps. Each is a multi-step attack chain a traditional scanner would have rated as "informational" — or missed entirely.

Multi-step Privilege Escalation
A chain a scanner would have missed entirely
CRITICAL
3 steps · chained
1
Info Leak
Self-signup endpoint leaks tenant IDs.
2
IDOR Accepted
/invoices accepts foreign tenant IDs.
3
S3 Exfil
Misconfigured policy dumps customer data.
Impact
Every customer's data exfiltrated
IDOR Tenant isolation S3 policy
Authentication & Session Attacks
Forged JWT → stale OAuth → admin session
HIGH
3 steps · chained
1
JWT Forge
alg=none trick accepted.
2
OAuth Scope Abuse
Stale scope grants admin access.
3
Admin Session
Working admin cookie attached to report.
Impact
Admin account takeover proven
JWT OAuth Session
Pre-merge Regression Testing
PR diff replays the historical exploit suite
BLOCKED
3 steps · CI gated
1
PR Opened
Permission middleware refactored.
2
Suite Replayed
Last quarter's exploits + new probes run.
3
IDOR Detected
Verified finding raised against the PR.
Outcome
Merge blocked before review starts
CI gate Regression PR diff
Platform Intelligence

More than a scanner.
A full security platform.

Every scan feeds into a living intelligence layer — reports that explain impact, an AI assistant that knows your codebase, and rules that keep agents within your boundaries.

AI-Narrative Reports

Pentest-grade documents, generated automatically

When a pentest finishes, SecureHup generates an executive-ready PDF report with AI-written narrative sections — attack summary, per-finding root cause, business impact and remediation guidance in plain language. Reports are cached by fingerprint; regenerate only when findings change.

Executive summary + per-finding narrative
Cached by fingerprint — no redundant LLM calls
Multi-language output (org language setting)
PDF export — share-ready with stakeholders

AI Security Chat

Context-aware assistant for every finding

Ask questions about any finding, pentest or pull request in plain language. The assistant has full context — it knows which endpoint was fuzzed, what the PoC shows, and where the vulnerable code lives. Switch between General, Domain, Pentest, Issue or PR context in one click.

6 context modes: General, Domain, Repo, PR, Pentest, Issue
Multi-model — swap between top LLMs via one API
"Explain this finding to my CTO" — one prompt
Token usage tracked per session, per org

Knowledge Base

Teach your agents about your application

Give the AI pentest agent persistent context about your stack. Define business logic, mark critical assets, document your tech stack and flag accepted risks — all injected as instructions at scan time. Scoped globally or per-domain/repository.

Business Logic
Critical Assets
Tech Stack
Accepted Risks

Scan Rules

Define what agents can and cannot do

Set guardrails in plain language: "don't brute-force /admin", "skip destructive payloads on production", "never touch the payments endpoint". Testing Rules are enforced post-scan — violations are automatically flagged for SOC review, not silently ignored.

"Skip brute-force on /admin/* routes"
"No destructive scans on production DB"
"Treat /payments as read-only surface"
Violations flagged for SOC review, never silently dropped
Command Center

Your security posture.
Alive, not quarterly.

From live severity counts to a 14-week pentest heatmap, SecureHup collapses scattered scan output into one control surface — every alarm, asset and fix visible from a single pane.

Live severity KPIs
Critical / High / Medium, updated per scan
14-week activity heatmap
Every scan timestamped, streaks visible
Alarms routed to PRs
Verified findings block risky merges
app.securehup.com/
Dashboard
Security overview for your organization.
Total Alarms
23
Critical
4
High
7
Medium
9
Low / Info
3
Pentests
12
Domains
8
Repositories
14
Open PRs
5
Team Members
6
Security Score
58 B-
Critical open4
High open7
Medium open9
Fixed31
Pentest coverage72%
Testing Activity
248 scans in the last 14 weeks
12-day streak
Mon Wed Fri
Feb Mar Apr May
Each square = 1 day · deeper green = more scans
Less More
Alarm Severity
23
Resolution Rate
57%
CVE Coverage
82%
Analysis Type
Top Targets by Alarm Count
api-gateway
7
api.securehup.test
5
web-portal
4
app-alpha
3
admin-dash
2
Top CWE Weaknesses
CWE-918 SSRF
6
CWE-79 XSS
4
CWE-639 IDOR
3
CWE-89 SQLi
2
Top Vulnerability Categories
Injection · 7 Auth & Access · 6 Misconfiguration · 5 Supply Chain · 3 Info Disclosure · 2
Recent Pentests
View All →
Target Type Status Alarms
api-gatewayWebCompleted7
web-portalWebRunning4
app-alphaAPICompleted3
admin-dashWebQueued2
Recent Alarms
View All →
Alarm Severity CVSS
Unauth SSRF in /edge-functionsCritical10.0
Tenant Bypass via signupCritical9.8
RCE via /execute-pythonHigh8.6
Firebase bucket listingHigh7.5
Domains
Manage →
Domain Type Status
api.securehup.testPrimaryVerified
app-alpha.securehup.testSubVerified
admin.securehup.testSubPending
Repositories
Manage →
Repository Language Auto-Scan
artes-solution/api-gatewayTypeScriptOn
artes-solution/web-portalNext.jsOn
artes-solution/billing-serviceGoOff
Benchmark Engagements

Real attack chains.
Reproduced by SecureHup agents.

We benchmark SecureHup against open-source vulnerable apps, internal reference targets and public bug-bounty write-ups. Every chain below was discovered end-to-end by our autonomous agents — no human hints, no pre-seeded payloads.

OWASP Juice Shop
E-commerce SaaS · OSS target
OSS

SecureHup agents chained a forgotten admin endpoint with a JWT algorithm confusion bug to escalate from anonymous user to full store takeover.

recon admin-route JWT-alg takeover
4
steps
7 min
to exploit
Critical
severity
Fintech GraphQL API
Reference target · SecureHup lab
LAB

Introspection enabled on a staging endpoint led SecureHup agents to a broken object-level auth mutation — turning a read-only token into full PII access.

introspect BOLA PII-access
3
steps
12 min
to exploit
High
severity
Cloud SSRF Chain
Public CVE replay · metadata leak
CVE

SecureHup reproduced a public bug-bounty chain: image-preview SSRF pivoted to the cloud metadata service, exfiltrating temporary IAM credentials for internal buckets.

img-preview SSRF IMDS IAM-exfil
5
steps
19 min
to exploit
Critical
severity
Onboarding design partners — want your stack benchmarked? Get in touch
Integrations

Seamless Integrations

Connect your dev workflow — SecureHup routes findings where your team already works.

Run autonomous pentests on every PR via GitHub Actions — block merges only on verified exploits.

J

Auto-create Jira tickets from findings with PoC, request trace, and patch suggestion attached.

Get critical findings pinged to the right Slack channel the moment an agent verifies an exploit.

Native AWS, GCP, Azure and Kubernetes targets — point us at any environment and we'll attack it.

Automation Platforms

Connect to 5,000+ apps.
Zero extra code.

Route security findings into any tool your team already uses. Via n8n, Zapier or Make — tickets, alerts and reports are triggered the instant an agent verifies a finding.

n8n
Self-hosted or Cloud
Open source

Full control over your automation infra. Deploy alongside SecureHup in your own environment — air-gapped pipelines, no data ever leaving your network.

400+ nodes Self-hosted Air-gap ready
Zapier
No-code automation
Most popular

Connect to 7,000+ apps without writing a line of code. Set up once: scan finishes → Jira ticket created → Slack alert → PagerDuty page.

7,000+ apps No-code 5 min setup
Make
Visual scenario builder
Visual canvas

Build complex multi-step scenarios on a drag-and-drop canvas. Branch on severity, enrich findings with threat intel, sync directly to any SIEM or SOAR.

1,600+ apps Visual builder Branching logic

Example automation chain

Scan complete
Jira ticket
Slack alert
Teams notify
PR auto-created
PagerDuty page
Patch merged

Works with tools your team already uses

Slack
Jira
GitHub
GitLab
Notion
Trello
Asana
HubSpot
Salesforce
Discord
Teams
PagerDuty
Drive
Dropbox
Airtable
ClickUp
Stripe
Twilio
Telegram
Zoom
Slack
Jira
GitHub
GitLab
Notion
Trello
Asana
HubSpot
Salesforce
Discord
Teams
PagerDuty
Drive
Dropbox
Airtable
ClickUp
Stripe
Twilio
Telegram
Zoom
Confluence
Linear
Monday
AWS
GCP
Azure
Datadog
Grafana
Kibana
Splunk
Bitbucket
Docker
Kubernetes
Terraform
Ansible
Jenkins
CircleCI
Gmail
Office 365
ServiceNow
Confluence
Linear
Monday
AWS
GCP
Azure
Datadog
Grafana
Kibana
Splunk
Bitbucket
Docker
Kubernetes
Terraform
Ansible
Jenkins
CircleCI
Gmail
Office 365
ServiceNow
5,000+
Connected apps
3
Automation platforms
< 5 min
Average setup time
Zero
Lines of code required
Security & Compliance

Built secure.
Compliant by design.

Security is our product — so our own infrastructure is held to a higher standard than most.

SOC 2 Type II
In progress
ISO 27001
In progress
GDPR
Compliant
KVKK
Compliant
TLS 1.3 in transit
All data in motion is encrypted with TLS 1.3. No exceptions.
AES-256 at rest
All stored findings, tokens and source data encrypted with AES-256.
Per-tenant key isolation
Every organization gets a dedicated encryption key. Cross-tenant access is architecturally impossible.
Ephemeral scan sandboxes
Each pentest runs in an isolated sandbox that is destroyed on completion. No state persists.
Zero Data Retention LLMs
LLM providers are configured in Zero Data Retention mode. Your code never trains their models.
No training on customer data
Our own models train exclusively on public CVE data and synthetic payloads — never on your findings.
Privacy Policy KVKK Notice Terms of Service
FAQ

Questions, answered.

The things developers and security teams ask us most before running their first pentest.

Is it safe to run SecureHup against production?
Yes. By default every agent runs in read-only reconnaissance mode — no state-mutating requests, no write payloads. You can opt into full exploit mode for staging or pre-prod. Rate limits, per-host concurrency caps, and a global kill-switch are enforced at the orchestration layer.
Do you train models on our code or findings?
Never. Customer source, HTTP traces and findings are processed only to run your scan. We use LLM providers in Zero Data Retention mode, and our own models are trained exclusively on public CVE and synthetic payload data.
How long does a full pentest take?
A typical web app with 100–500 endpoints finishes in 15–25 minutes. Larger monorepos and infra targets run in 1–4 hours. Continuous mode watches PRs and re-tests only the diff, usually in under 3 minutes.
How does pricing work?
A free tier lets you run one full PoC pentest per month on a domain you own. Paid plans scale with the number of targets and scan frequency. Self-hosted and air-gapped deployments are available on Enterprise. Talk to us for a tailored quote.
Can I self-host it?
Yes — SecureHup ships as a Docker Compose or Helm chart and can run fully air-gapped. Bring your own LLM via any OpenAI-compatible endpoint. Available on Enterprise.
What if you break something during the scan?
You define the blast radius. By default agents never execute destructive payloads, never delete data, and throttle to sane request rates. For production scans we recommend starting with read-only mode and promoting to exploit mode on a staging replica. Still worried? Run it against a clone first — we make it easy.
Didn't find an answer? Ask the team

Find your bugs before attackers do.

Connect a GitHub repo or paste a staging URL. SecureHup runs a full autonomous pentest in under 20 minutes and emails you a verified findings report — no installs, no scoping calls, no gated demos.

Run a free test Talk to SecureHup