- Alerts everywhere.
- Each one rated alone.
- No proof any are real.
- Fix it and hope.
See how you’d get hacked. Then prove it’s fixed.
AI pentesting for your apps, APIs, and cloud. HOG3 attacks like a real hacker and shows you, step by step, how they’d get in.
The evidence gap
When was your app last tested?
For most teams, months ago.
A pentest proves what was true on the day it ran. Every release after it ships untested until the next one.
Yearly pentest
Last tested 214
days ago
With HOG3
Last tested 2
minutes ago
53 releases shipped since. None of them tested.
Every release is tested as it ships.
How HOG3 works
It works like an attacker.
Then shows its work.
The same three steps every time: find what you expose, link the weak spots into a path, and prove where that path leads.
01Map the surface
Apps, APIs, cloud and identities, including what sits behind a login.
02Chain the weak spots
Findings that look minor alone, linked into one path an attacker can walk.
03Prove what it reaches
A replayable proof of where the path ends, and what that means for the business.
Sample findings
See the attack.
Understand the impact.
Mass account takeover
A $100 list of leaked passwords, tried against your login at scale. Every reused password becomes a working session, and the session can move money.
- Proved end to end against a test account, not scanned
- Three medium findings, chained into one critical path
- $324M of exposure, modeled from your own figures
- Fixed in two lines and retested to a closed finding
The chain, proved
Three medium findings became one critical path. HOG3 ran it end to end against a test account, with the request and response attached.
The number, modeled
$324M from your own figures: account count, median value, and one assumed reuse rate. Change an input and the figure moves with it.
Fixed, then retested
Two lines your team owns: a rate limit on the grant and an authorization check on the mutation. The retest breaks the chain at F23.
Does your login take a list?
Source and secrets disclosure
Nothing is exploited here and nothing needs to be. The map of your attack surface is a public download, and it is the first step of every other scenario in this run.
- 1,540 source files rebuilt from production, without a credential
- 34 internal hosts named in them, 11 answering anyone who asks
- 4 live API keys, sitting in the bundle you ship to every browser
- Closed in an afternoon and retested to none answering
The bundle, unpacked
One request per bundle rebuilt 1,540 files of readable source. No credentials, no exploit, and nothing unusual in your logs.
The hosts, named
34 internal hosts named in the source. 11 of them answer without credentials. 4 carry a live API key.
Closed in an afternoon
Source maps off in production, the four keys rotated, the eleven hosts behind an allowlist. The retest found none answering.
What is in your bundle right now?
Administrative impersonation
The worst finding in the run, and it does not carry the biggest number. One request reaches any account on the platform, which is why it was fixed first.
- One request, no credentials, nothing for a rate limit to catch
- Any of 27,000,000 accounts, chosen by id
- Ranked above the $324M scenario, because reach comes first
- Proved against a test account and closed the same day
One request, any account
The impersonation mutation was built for support tooling and shipped to everyone. From any session it reaches any account by id.
Ranked above the money
It costs the attacker nothing per account and gives your defenders no signal. Scenario 01 quantifies further; this one is fixed first.
Closed the same day
An authorization check on the mutation, then the retest: the same request from the same session, and a 403.
Which of your endpoints was built for support and shipped to everyone?
How HOG3 compares
Why not just a pentest?
Or the scanner you have?
Both have a place. Here is what each one actually gives your team.
Question
Yearly pentest
Scanner
HOG3
How often you are tested
Once or twice a year
Continuously
Continuously, as you ship
Is the risk proven?
Yes, on the day it ran
No, it is a guess
Yes, for every finding
Weak spots linked together
Sometimes
No
Yes, into real attack paths
What lands with your team
A long report
Thousands of alerts
A short list, ranked by reach
Is the fix checked?
At the next test
Not really
Retested, then closed
See the difference on your own app.
Fix & retest
One list, in the right order.
Closed only when it is proven.
HOG3 tells your team what to fix first and how, then checks again before anything is marked done.
Administrative impersonation
Direct access to customer accounts. No credentials needed.
Exposed credentials
Account access depends on matching passwords.
Source disclosure
Reveals internal systems for further attacks.
Start where it reaches furthest.
Each finding is ranked by how far it gets into your systems, not by a generic score.
- The top fix closes the most
- Every rank comes with its proof
- An order you can explain to anyone
api/accounts.ts
- 41 const account = accounts.get(id)
- 42+if (!session.can("admin", account)) deny()
- 43 return account
A fix, not a ticket number.
Each finding comes with the change to make, written for the engineer who owns that code.
- Clear steps, in plain words
- The list shows what comes next
- Your team makes the change. HOG3 never touches production.
Run again
Access check
Customer data
Run again after the fix. Access denied. Closed, with the result attached.
Done means proven done.
After the fix, HOG3 runs the same test again. The finding only closes when it no longer works.
- The same test, run again
- The result kept with the finding
- Closed only on a passing retest
Coverage & cadence
Every surface you run.
Tested on your schedule.
Pick how often. Every release, infrastructure change and fix is tested on top.
What we test
- Applications
- APIs
- Cloud infrastructure
- Mobile applications
- Identity systems
- External attack surfaces
When we test
On your schedule
And on every change
- Every release
- Every infrastructure change
- Every fix, retested
Security & control
Autonomous testing.
Inside the lines you draw.
Nothing is tested until you agree the scope and authorize it. A person reviews what HOG3 finds, and every test is on the record.
Authorized scope
Nothing is tested until you agree the systems and boundaries and authorize the work.
What you keep: The agreed scope
Human oversight
A person validates what HOG3 finds, and can sign the report when you need one.
What you keep: Validated findings, signed on request
Auditable activity
Testing is recorded with the evidence behind every finding, for engineering and for audit.
What you keep: A record you can hand an auditor
Verified remediation
A fix counts once a retest shows the path no longer works, not when a ticket closes.
What you keep: A retest result for every fix
Frequently asked questions
Is HOG3 a vulnerability scanner?
HOG3 investigates and validates exploitability, including multi-step attack paths. Its output includes reproducible evidence, business-impact context, remediation guidance, and fix verification.
Can HOG3 test authenticated applications and APIs?
Yes. Authenticated application and API testing is part of the offering. Access requirements and the assessment scope are agreed before testing begins.
How often does testing run?
The cadence is tailored to your business. Deeper assessments can run daily, weekly, monthly, or on another agreed schedule, supported by release-triggered testing, infrastructure-change testing, and remediation retests.
What does our team receive?
Proven findings with reproducible evidence, attack-path explanations, business-impact context, remediation priorities, and guidance. Retest results document whether the assessed paths remain exploitable after fixes.
How is HOG3 priced?
HOG3 is sold through tailored monthly or annual subscription agreements. Scope, cadence, and engagement requirements are agreed with your business.
Can we evaluate HOG3 before subscribing?
Start with a demo of the platform and its findings. Where appropriate, we can discuss a scoped free pentest. Testing your environment requires explicit authorization and agreed boundaries.