Glossary · Argus Pentest

What is authenticated vulnerability scanning?

What is authenticated vulnerability scanning? A clear explanation for Azerbaijani business — and how Argus Pentest applies it.

Enterprise Authenticated Vulnerability Scanning

Authenticated vulnerability scanning is a sophisticated security testing process where a scanner accesses web applications and APIs using valid user credentials. Unlike traditional unauthenticated scans that are limited to public-facing pages, this method allows the scanner to operate as a legitimate logged-in user. By bypassing the login barrier, the system can identify critical vulnerabilities hidden within the authenticated surface of an enterprise application, ensuring that the internal logic and restricted endpoints are thoroughly vetted for security flaws. As one of the three core engines of the Argus self-hosted AI testing platform, this scanner shares a unified runtime, model layer, credential store, and cost ledger with the QA and AI engines. It leverages a scripted login process through an encrypted credential store to obtain session cookies and bearer tokens, enabling deep exploration. By utilizing discovered endpoints to seed a synthesized API specification, the scanner ensures comprehensive coverage of the application's functional surface, moving far beyond the limitations of simple perimeter scanning.

Capabilities

Key Advantages of Authenticated Scanning

Deep Surface Access: Penetrates beyond the login page to test the internal authenticated surface of applications.

Comprehensive API Coverage: Uses synthesized API specifications derived from discovered endpoints to ensure thorough scanning.

Full Data Sovereignty: Operates on a self-hosted infrastructure, keeping all scan data, credentials, and reports internal without SaaS dependencies.

High-Fidelity Testing: Mimics real user behavior by utilizing session cookies and bearer tokens for authentic interaction.

Actionable Intelligence: Delivers structured findings categorized by severity through detailed HTML and JSON reports.

Controlled Execution: Maintains strict security boundaries by scanning only against an explicit allow-list of approved targets.

Core Capabilities of Argus Pentest

Self-Hosted Infrastructure

The platform is entirely self-hosted, ensuring that scan data, credentials, and reports stay within your own environment with no external SaaS dependency.

Encrypted Credential Management

Uses a secure credential store to perform scripted logins, yielding the session cookies and bearer tokens necessary for deep scanning.

AI-Driven Payload Generation

Integrates a model layer specifically for payload generation and finding triage, utilizing a text-in, text-out approach.

Modular Scanner Engine

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

Strict Target Control

Scans are executed only against an explicit allow-list of approved targets to ensure controlled and authorized testing.

The Authenticated Scanning Process

1Target Definition: The user deliberately adds a target to an explicit allow-list of approved endpoints.
2Credential Retrieval: The system accesses the encrypted credential store to initiate a scripted login.
3Session Establishment: The scanner obtains session cookies and bearer tokens to mimic a real logged-in user.
4Surface Discovery: Endpoints discovered during login and crawling are used to seed a synthesized API specification.
5Vulnerability Testing: The engine generates payloads and scans the authenticated surface for security flaws.
6Reporting: Findings are categorized by severity and delivered via HTML and JSON reports.

Frequently Asked Questions

What happens if the scanner cannot authenticate?

In the Argus platform, a scanner that cannot authenticate is treated as an environment failure rather than a security finding, following the same honest-failure rule applied by the QA engine.

How is AI utilized within the scanning engine?

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

Is my sensitive scan data stored in a third-party cloud?

No. The system is fully self-hosted, meaning all scan data, credentials, and reports remain on your own infrastructure with no external SaaS dependency.

Can the underlying scanning engine be updated or swapped?

Yes. Because the platform uses the Deep Eye open-source engine via a CLI contract, the scanner can be upgraded or replaced without requiring changes to the platform itself.

Does the engine provide cost-per-test accounting?

Currently, per-scan cost accounting is missing, so the engine cannot yet answer the specific cost-per-test questions that the QA engine can.

Secure Your Enterprise Applications

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