Use cases · Argus Pentest

Scan behind the login wall

Scan behind the login wall with Argus Pentest: a practical, on-prem approach built for Azerbaijani teams.

Authenticated Dynamic Security Scanning for Enterprise Web Apps and APIs

Argus Pentest delivers authenticated dynamic security scanning specifically engineered for enterprise-grade web applications and their associated APIs. Unlike traditional scanners that often stall at the login screen, this solution operates as a genuine logged-in user. By leveraging a scripted login process through an encrypted credential store, the platform secures session cookies and bearer tokens, allowing it to penetrate the authenticated surface and thoroughly assess protected endpoints that are typically invisible to unauthenticated tools. As one of the three core engines of the Argus self-hosted AI testing platform, the pentest engine is deployed alongside the QA and AI engines under a single console and sign-in. This integrated architecture allows for shared model settings and a unified encrypted credential store. To ensure maximum security and control, the system operates on a strict allow-list basis, meaning scans are only executed against targets that have been deliberately approved, ensuring that security testing remains targeted and authorized.

Capabilities

The Advantages of Authenticated Security Testing

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Deep Surface Penetration: Reaches protected application areas and authenticated APIs that standard scanners cannot access.

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Elimination of False Positives: Prevents the common error where repeated login wall responses are misidentified as multiple exploits.

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Full Data Sovereignty: Self-hosted deployment ensures all scan data, credentials, and reports remain on your own infrastructure without SaaS dependencies.

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High-Fidelity Reporting: Reduces noise by quarantining any finding that cannot be re-verified against the live target.

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Strict Target Control: Mitigates risk by requiring an explicit allow-list of approved targets before any scanning can occur.

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Environment Integrity: Distinguishes between security vulnerabilities and environment failures, marking authentication blocks as inconclusive rather than 'clean'.

Core Technical Capabilities

Integrated Credential Store

Shares a secure, encrypted credential store with the QA and AI engines to facilitate scripted logins and the retrieval of session cookies and bearer tokens.

Synthesized API Mapping

Automatically seeds a synthesized API specification from endpoints discovered during the login and crawl phase to ensure full coverage of the authenticated surface.

AI-Driven Payload Generation

Employs a text-based AI model for precise payload generation and finding triage, utilizing a strict text-in, text-out approach without vision dependencies.

Modular Scanner Architecture

Driven by the Deep Eye open-source engine via a CLI contract, enabling the scanner to be upgraded or replaced without modifying the broader platform.

Honest-Failure Reporting

Applies a strict failure rule where scans stopped by authentication walls are marked as inconclusive, treating auth failures as environment issues rather than security findings.

The Scanning Workflow

1Target Authorization: The application is added to the explicit allow-list of approved targets.
2Authenticated Access: The QA engine executes a scripted login via the encrypted credential store to obtain necessary session cookies and tokens.
3Surface Discovery: The system crawls the application to discover endpoints and generate a synthesized API specification.
4AI-Powered Execution: The scanner exercises the authenticated surface using AI-generated payloads for vulnerability detection.
5Verification & Quarantine: Every finding is re-checked against the live target; those without evidence or unreachable endpoints are quarantined and excluded from severity totals.
6Reporting: Final results are delivered via detailed HTML and JSON reports, categorized by severity.

Frequently Asked Questions

Where is the scan data and credential information stored?

Argus is entirely self-hosted. All scan data, encrypted credentials, and security reports remain on your own internal infrastructure, eliminating external SaaS dependencies.

How does the platform handle targets that require authentication?

Targets marked as sitting behind a login are refused if an unauthenticated scan is attempted. This prevents the scanner from misinterpreting repeated login error responses as successful exploits.

How does the system ensure the accuracy of reported findings?

Every finding is re-verified against the live target. If a finding cannot be stood up—meaning the endpoint was never reached or the response was uniform without evidence—it is quarantined and excluded from severity totals.

What role does AI play in the scanning process?

The AI model is used exclusively for payload generation and finding triage. It operates on a text-in, text-out basis and does not utilize vision capabilities.

What happens if a scan cannot get past the authentication wall?

In accordance with the 'honest-failure' rule, a scan that reaches the target but cannot exercise it due to authentication issues is marked as 'inconclusive' rather than 'clean'.

Ready to secure your authenticated endpoints?

Deploy Argus Pentest on your own infrastructure and start scanning behind the login wall today.

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