Solutions · Argus Pentest

Authenticated penetration testing for Oil, Gas & Energy

Authenticated penetration testing for oil, gas & energy. Energy operators manage safety-critical procedures and vast equipment and materials catalogues across field sites.

Authenticated Security Scanning for Energy Infrastructure

Energy operators manage safety-critical procedures and vast equipment catalogues across distributed field sites, relying on complex enterprise web applications and APIs. Allmaz provides authenticated dynamic security scanning designed to penetrate beyond the login wall, ensuring that security assessments reach the actual authenticated surface where sensitive operational data and safety SOPs reside. By operating as a real logged-in user, the system eliminates the blind spots common in traditional scanning, providing a comprehensive view of the vulnerabilities that could impact critical infrastructure. As a core component of the Argus self-hosted AI testing platform, this engine integrates seamlessly with QA and AI modules through a single console and a shared encrypted credential store. This unified deployment ensures that security testing is not a siloed activity but a coordinated effort. By combining a modular open-source scanning engine with AI-driven payload generation and a strict 'honest-failure' logic, Allmaz delivers high-fidelity security insights while maintaining total data sovereignty on the operator's own infrastructure.

Capabilities

Strategic Security Advantages

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Deep visibility into authenticated surfaces protecting safety SOPs and critical operational runbooks

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Secure validation of vast equipment and materials master data interfaces via authenticated API scanning

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Complete data sovereignty through self-hosted deployment, keeping all credentials and reports on your own infrastructure

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High-fidelity reporting that eliminates false positives by re-checking every finding against the live target

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Strict operational safety via explicit allow-lists, preventing accidental scanning of unauthorized field assets

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Reduced noise in security audits by treating authentication failures as environment issues rather than false 'clean' reports

Advanced Technical Capabilities

Authenticated Dynamic Scanning

Utilizes a scripted login via an encrypted credential store to obtain session cookies and bearer tokens, allowing the scanner to operate as a real logged-in user.

Synthesized API Discovery

Endpoints discovered during login and crawling seed a synthesized API spec, ensuring the scan reaches the authenticated surface rather than stopping at the login page.

AI-Driven Payload Generation

Integrates an AI model specifically for payload generation and finding triage, utilizing a text-in, text-out approach for precise vulnerability detection.

Honest-Failure Logic

Scans that cannot authenticate are marked as environment failures or inconclusive rather than being reported as 'clean,' preventing misleading security reports.

Modular Engine Architecture

Powered by Deep Eye, an open-source engine driven via CLI, allowing the scanner to be upgraded or replaced without impacting the broader platform.

The Authenticated Testing Workflow

1Define an explicit allow-list of approved targets to ensure only authorized energy assets are scanned.
2Execute a scripted login through the encrypted credential store to acquire necessary session tokens.
3Crawl the application to synthesize an API specification and map the authenticated surface area.
4Generate and deploy payloads using the AI engine to identify vulnerabilities across the application and its APIs.
5Re-check every finding against the live target to quarantine non-reproducible results and ensure accuracy.
6Generate detailed severity reports in HTML and JSON formats for remediation.

Frequently Asked Questions

How is data privacy handled for sensitive energy infrastructure?

The platform is entirely self-hosted. All scan data, credentials, and reports remain on your own infrastructure with no external SaaS dependency, ensuring total control over sensitive information.

How does the system handle targets that require authentication?

Targets marked as requiring a login cannot be scanned unauthenticated. The system refuses the scan rather than running it against the auth wall, which prevents the scanner from misreading repeated error responses as multiple exploits.

How are findings validated to avoid false alarms?

Every finding is re-checked against the live target. If a finding cannot be stood up—such as an unreachable endpoint or a uniform response—it is quarantined and excluded from the severity totals.

Is this part of a larger ecosystem?

Yes, this is one of the three engines of Argus, a self-hosted AI testing platform. It shares a single console, sign-in, encrypted credential store, and model settings with the QA and AI engines.

What happens if the scanner cannot authenticate during a run?

Following the 'honest-failure' rule, a scanner that cannot authenticate is flagged as an environment failure or marked as inconclusive. It is never reported as 'clean,' as a failure to exercise the target is not a security finding.

Secure Your Operational Technology

Contact Allmaz to implement authenticated penetration testing for your energy enterprise applications.

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