Platform and Patch Baseline
We verify the Magento or Adobe Commerce version, applied security patches, configuration, file integrity, and whether a rushed update left the store in a partially protected state.
Authorized adversary testing for Magento
Patching the platform is the baseline. Rocket Web tests the custom store built on top of it.
Rocket Web combines qualified Magento development, controlled penetration testing, and Red Team tactics borrowed from military OPFOR training. We attack your assumptions on purpose, while the person doing it is still working for you.
The store is the system under test
Adobe, Magento, Mage-OS, extension vendors, and infrastructure providers all work on their part of the stack. No one upstream can test the exact combination of code, integrations, people, and operating decisions unique to your store.
We verify the Magento or Adobe Commerce version, applied security patches, configuration, file integrity, and whether a rushed update left the store in a partially protected state.
Your custom code is tested for known vulnerability classes, unsafe Magento patterns, authorization mistakes, injection paths, data exposure, and exploitable combinations.
Third-party modules, JavaScript packages, libraries, and inherited code expand the system beyond the platform vendor's security boundary. We test the stack you actually run.
Admin access, customer accounts, tokens, webhooks, ERP connections, and custom APIs are reviewed as connected attack paths, not isolated settings.
We examine payment-page scripts, CMS injection paths, checkout customizations, session handling, and the controls protecting customer and order data.
Hosting, edge controls, secrets, logging, alerts, backups, and response procedures are tested to learn whether an attack can be contained as well as prevented.
The tools available to attackers get stronger. Your store changes. Extensions update. New code is deployed. People and permissions move. Security is not a certificate you frame once. It is a disciplined practice of testing, learning, fixing, and testing again.
Why OPFOR works
After Vietnam, U.S. military reviews found that pilots trained against familiar aircraft and familiar tactics were not prepared for a dissimilar, thinking adversary. The response included TOPGUN, Aggressor squadrons, Red Flag, and later the Army's National Training Center.
The Army still maintains specialized OPFOR units to replicate realistic enemies. Cybersecurity followed the same logic. A disciplined red team does not confirm what the defenders already believe. It pursues an objective, changes tactics, records what worked, and turns defeat into a stronger defense.
Military OPFOR
Replicate the real adversary. Create combat-like pressure. Make the exercise hard enough to expose the truth.
Cyber Red Team
Mimic real-world attacks under written authorization. Test what scanners miss. Measure detection and response.
Secure Magento
Attack the actual store. Fix the demonstrated paths. Retest until the evidence changes.
The Secure Magento exercise
Realistic does not mean reckless. NIST guidance treats penetration testing as a governed assessment with management approval, explicit rules of engagement, controlled execution, evidence, reporting, and remediation. So do we.
01
We document the authorized targets, objectives, environments, allowed techniques, test window, data-handling rules, stop conditions, and emergency contacts before any active testing begins.
02
Magento specialists inventory versions, patches, modules, custom code, integrations, payment flows, access controls, and known vulnerabilities. Known exposure gets addressed without waiting for the exercise.
03
The red team uses reconnaissance, manual analysis, security tooling, and human-directed open-weight AI to pursue agreed objectives the way a capable attacker would.
04
Potential weaknesses are safely validated, logged, and tied to business impact. Testing stops before destructive action unless the rules of engagement explicitly authorize it.
05
Qualified Magento developers remediate confirmed issues. The red team retests the attack path, and the after-action review turns each finding into stronger code, controls, monitoring, and operating practice.
Human authorized
The model and tools do not choose targets or scope.
Evidence logged
Every confirmed finding has a reproducible path and business impact.
Damage bounded
Stop conditions and escalation contacts exist before active testing.
The attacker does not need an API account
Open-weight models can be downloaded, run privately, modified, and connected to security tools. Published research has shown that refusal behavior can be surgically disabled with limited effect on other capabilities. Cisco Talos has documented criminals using uncensored models for phishing and offensive tooling.
Rocket Web uses selected open-weight models, including abliterated variants, inside authorized and isolated exercises. That lets the red team work with a class of tooling available to an attacker who is not waiting for a commercial model to grant permission.
Abliterated does not mean autonomous.
Removing refusal behavior does not remove human responsibility. The model assists. Senior people define the objective, review its work, control exploit activity, and remain accountable for every action.
What you get
Rocket Web can take the work from demonstrated weakness through Magento remediation and verified closure.
A scan compares what it can observe with known signatures and configuration rules. Rocket Web includes that baseline, then qualified humans test whether weaknesses can be combined into a real attack path. The red team has an objective and adapts when the obvious route fails.
No. Patching, secure configuration, access control, monitoring, backups, and applicable compliance work are the foundation. Adversarial testing checks whether that foundation and the store-specific code built on top of it hold up in practice.
Only when the objective requires production realism and the rules of engagement make the risk acceptable. Many code and exploit-validation activities belong in an isolated replica. Production testing is bounded, scheduled, monitored, and governed by explicit stop conditions.
It is an open-weight model modified to remove or suppress its learned refusal behavior. That does not make it automatically smarter. It removes a safety gate that a malicious operator can also remove, which lets an authorized red team test with a more realistic class of adversarial tooling.
No credible security team can. The exercise can uncover unknown weaknesses and novel combinations in your specific store, but no test proves that no vulnerability exists. The goal is to reduce uncertainty, close demonstrated paths, and improve the speed of detection and response.
The rules of engagement define an immediate escalation path. We preserve evidence, contain the test, explain the business impact, and move into remediation. Qualified Magento developers make the fix, then the red team tries the same path again.
Shopify merchants have no control over platform level security or audits of third party apps. In 2020 two rogue support employees within Shopify were found to have stole thousands of customer records. In 2024 a hacker posted data from over 180,000 Shopify users. In 2026 Shopify merchants have been falling prey to email bombing and recovery code abuse. An effected merchant could not have prevented any of these attacks, they could only hope their Shopify landlord would take care of them. Magento and Mage-OS can take advantage of advances in AI technology to become fundamentally more secure than Shopify. A Magento merchant can have their own server and database scanned with deeper inspection that Shopify will ever allow. Behavioral models can be trained on your traffic, custom WAF rules, geo/access controls. Magento merchants have sovereignty over their data, logs, models and incident response.
The page draws from the supplied OPFOR research report and current primary or technical sources. These links support the history, testing discipline, Magento example, open-weight model claims, and Shopify comparison.
Why specialized opposing forces replicate real adversaries in military training.
Planning, rules of engagement, real-world attack simulation, reporting, and remediation.
Documented criminal use of uncensored models and methods for removing model alignment.
Research showing that refusal behavior can be surgically disabled in open-weight models.
Shopify’s disclosure that two rogue support employees accessed customer transaction records from fewer than 200 merchants.
Reporting on 179,873 rows advertised online and Shopify’s statement that a third-party app, not its platform, was compromised.
How recovery codes can replace the primary authentication method and why Shopify tells merchants to store them securely.
A first-person report of email flooding during an account takeover. Anecdotal evidence, not proof of a platform-wide breach.
The best defense is a good offense
Bring us the store, its customizations, and the assumptions everyone has stopped questioning. We will define a safe exercise, attack the evidence, fix what fails, and test it again.
Plan a Secure Magento Exercise