Application & Network Security
Penetration testing, APT simulation, application security reviews, and infrastructure assessments for organizations where blockchain intersects with traditional systems. The attack surface doesn’t end at the smart contract.
Most blockchain security firms stop at the contract boundary. Attackers don't.
The largest exploits in blockchain history didn't start with a smart contract vulnerability - they started with compromised infrastructure, API misconfigurations, phishing attacks against team members, and weaknesses in off-chain components that no smart contract audit would have caught.
Hexens' application and network security practice covers the full attack surface: web applications, mobile platforms, APIs, cloud infrastructure, and the middleware connecting on-chain and off-chain systems. The same caliber of engineers who audit L1 protocols and ZK circuits bring that adversarial rigor to your entire stack.
Every engagement is all-augmented, including AI with the most frontier models and techniques. Senior engineers direct frontier models to extend reconnaissance, map attack paths across interconnected systems, and generate adversarial test cases at a pace and depth that manual-only testing cannot match. The engineer decides where to probe. The model ensures nothing within reach goes untested. The result is engagements that are both deeper and more comprehensive - coverage that scales to the full breadth of modern application and network architectures.
Our engineers hold OSCP, OSWE, OSEP, OSED, OSMR, OSCE3, ISO27001 LA and CRTL certifications - and more importantly, they apply those skills in the context of blockchain-specific threat models that traditional pentesting firms don't understand.
[INFRASTRUCTURE]
[Fig. 01]
[01]
Operators
Who runs the engagement
Hexens security researchers are CTF champions, bug bounty leaderboard veterans, and engineers who've spent careers breaking systems that weren't supposed to break.
[02]
Tooling
What they operate with
They are now armed with frontier-class models, the same class of technology that powers the systems they're testing, operating as force multipliers under their direction.
[03]
Method
How the two combine
The difference is not incremental. Senior engineers do rigorous manual review simultaneously, directing a frontier model to find the vulnerability that exists at the intersection of systems, and an assumption nobody documented.
[04]
Outcome
What it produces
Coverage that would take a team months is now coverable in a week - with deeper analysis, more adversarial test cases, and broader code path exploration than either could achieve alone.
Traditional Engagement
Months of team time
Hexens · AI-Augmented
One week end-to-end
Δ 01
Deeper analysis of individual findings
Δ 02
More adversarial test cases per surface
Δ 03
Broader code path exploration
This is not automation replacing judgment.
- It is the ceiling on what expert judgment can reach.
APT Simulation and Red Teaming
Full-scope adversarial simulation replicating the tactics, techniques, and procedures of advanced persistent threat actors targeting your organization. We chain reconnaissance, initial access, lateral movement, privilege escalation, and data exfiltration into multi-stage attack campaigns that test your detection and response capabilities across the entire kill chain - not just individual controls. AI-augmented adversary simulation enables broader attack path exploration and faster identification of chained exploitation routes that cross network, application, and cloud boundaries.
Previous engagements have surfaced vectors that could have led to the compromise of hundreds of millions of dollars' worth of infrastructure.
Hexens uses all of the frontier tools and techniques, including private, not publicly available ones, to simulate the real APT.
Web Application Penetration Testing
Full-scope offensive security assessment of web applications - authentication, authorization, session management, input validation, business logic, and blockchain-specific interaction layers. Our engineers use AI-augmented reconnaissance and test generation to go far beyond OWASP Top 10, testing for attack vectors specific to dApp frontends, wallet connection flows, and on-chain/off-chain data handling - covering more attack paths in less time without sacrificing depth on the findings that matter.
Mobile Application Security Assessment
Security testing of iOS and Android applications - reverse engineering, runtime analysis, local data storage, network communication, API interaction, and blockchain wallet integration points. We assess both native and React Native implementations, covering the full mobile attack surface from client-side vulnerabilities to backend integration risks. AI-augmented analysis accelerates reverse engineering and identifies data flow patterns across complex mobile architectures.
Source Code Review
Manual security review of application source code - identifying vulnerabilities that automated scanners miss, including business logic flaws, race conditions, cryptographic implementations misuse, and access control gaps. Our engineers direct frontier AI models to reason about code in context - tracing data flows across modules, identifying non-obvious interaction patterns, and generating adversarial inputs that test the boundary conditions scanners have no rules for. We review code in the context of your full system architecture, not as isolated functions.
API Security Testing
Assessment of API endpoints - authentication mechanisms, rate limiting, input validation, data exposure, and business logic vulnerabilities. For blockchain applications, we specifically test API interactions with on-chain components, wallet services, and third-party integrations. AI-augmented testing enables comprehensive coverage of API surface areas that would take significantly longer to map and test manually.
Cloud Infrastructure Security Audit
Security assessment of cloud environments - AWS, GCP, Azure configuration review, IAM policy analysis, network segmentation, secrets management, logging and monitoring, and container security. We evaluate your infrastructure against both cloud provider best practices and blockchain-specific operational requirements like validator node security, key management, and hot wallet infrastructure. Frontier AI models accelerate configuration analysis across complex multi-account, multi-region deployments.
Network Penetration Testing
External and internal network penetration testing - scanning, enumeration, exploitation, lateral movement, and privilege escalation. We simulate real adversarial behavior against your network infrastructure, identifying paths an attacker could use to reach critical blockchain systems from initial access. AI-augmented reconnaissance and exploitation enable broader coverage and faster identification of chained attack paths that cross network segments.
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[Fig. 02]
