Authenticated penetration testing for Telecom
Authenticated penetration testing for telecom. Operators handle millions of subscriber interactions across Azerbaijani and Russian, under service-quality SLAs.
Enterprise Authenticated Security Scanning
Telecom operators manage millions of subscriber interactions across Azerbaijani and Russian languages under strict service-quality SLAs. To protect these critical services, Allmaz provides authenticated dynamic security scanning for enterprise web applications and their APIs. Unlike traditional scanners that stop at the login page, our solution penetrates the authenticated surface, ensuring that the logic and data residing behind the login wall are rigorously tested against vulnerabilities. This capability is delivered as one of the three core engines of Argus, a self-hosted AI testing platform. By integrating with the platform's shared console and encrypted credential store, the security engine operates in tandem with QA and AI engines. This unified deployment ensures that security testing is not a siloed process but a coordinated effort, leveraging shared model settings and a secure infrastructure to maintain the integrity of high-volume telecom environments.
Advantages of Authenticated Scanning
Deep Surface Penetration: Reach the authenticated areas where sensitive subscriber data resides by operating as a real logged-in user rather than stopping at the login page.
Elimination of Auth-Wall Noise: Prevent false positives by refusing scans on targets marked for login if authentication fails, avoiding the misinterpretation of repeated error responses as exploits.
Absolute Data Sovereignty: Maintain total control via a self-hosted deployment where all scan data, credentials, and reports remain on your own infrastructure without SaaS dependencies.
High-Fidelity Reporting: Reduce noise by quarantining findings that cannot be verified against the live target, ensuring only reproducible vulnerabilities impact severity totals.
Automated API Discovery: Use synthesized API specifications derived from login and crawl data to ensure consistent security coverage across complex subscriber portals.
Modular Engine Flexibility: Utilize the Deep Eye open-source engine, which can be upgraded or replaced via its CLI contract without disrupting the broader platform.
Enterprise-Grade Security Testing
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 Mapping
Endpoints discovered during the login and crawl process seed a synthesized API spec, ensuring the scan penetrates deep into the application logic.
AI-Driven Payload Generation
Leverages a text-based AI model specifically for payload generation and finding triage to identify potential vulnerabilities.
Strict Target Control
Scans run exclusively against an explicit allow-list of approved targets, requiring deliberate addition before any testing begins.
Integrated Testing Ecosystem
Part of the Argus platform, sharing a single console, sign-in, and encrypted credential store with QA and AI engines.
The Penetration Testing Workflow
Frequently Asked Questions
How does the system handle targets that require a login?
If a target is marked as requiring a login and authentication fails, the scan is treated as an environment failure or marked as inconclusive. This prevents the scanner from misreading the authentication wall's repeated error responses as multiple security exploits.
Where is the scan data and subscriber credential information stored?
The solution is entirely self-hosted. All scan data, credentials, and reports remain on your own infrastructure, ensuring there is no external SaaS dependency and maintaining full data sovereignty.
How are false positives managed in the reports?
Every finding is re-verified against the live target before being counted. Any finding that cannot be stood up—such as an unreachable endpoint or a uniform response with no evidence—is quarantined and excluded from the severity totals.
Can the scanning engine be updated without affecting the rest of the platform?
Yes. The scanner utilizes the Deep Eye open-source engine, which is driven strictly through a CLI contract. This architecture allows the engine to be upgraded or replaced without requiring changes to the rest of the platform.
How is AI utilized during 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.
Secure Your Subscriber Infrastructure
Contact Allmaz to implement authenticated penetration testing for your telecom services.
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