Independent security researcher

I find vulnerabilities
that scanners miss.

Deep manual assessment of web applications, cloud infrastructure, and smart contracts. I connect code, traffic, configuration, and product context into a unified risk model.

How I work
Authorized assessments NDA Responsible disclosure
SCROLL
00 / TRACK RECORD

A track record built through real engagements, not certificates on a wall.

8+ years in security research
150+ comprehensive assessments
400+ responsibly disclosed vulnerabilities
01 / APPROACH

A scanner sees a signal.
I see the system.

Automation is useful for baseline coverage. But critical risks often live between roles, states, and business processes — where human hypotheses matter.

Surface-level scan My manual assessment

Matches responses against known signatures

I model objectives, roles, and potential attack chains

Checks endpoints in isolation

I examine relationships across APIs, UI, and internal states

Produces a long list without context

I prioritize findings by real business impact

Stops when the report is delivered

I support the team through triage, remediation, and retesting

02 / EXPERTISE

I go beyond
the checklist.

I can assess a specific release or perform a comprehensive review of the product and infrastructure. Scope is agreed before work begins.

Authentication and authorization, IDOR/BOLA, payment flows, race conditions, server-side vectors, and non-obvious vulnerability chains.

IAM, storage, Kubernetes, serverless, CI/CD, containers, network segmentation, and the external attack surface.

Source and compiled code analysis, dependencies, cryptography, race conditions, protocols, firmware, and IoT.

Solidity and EVM bytecode, access control, oracle dependencies, mobile runtime analysis, and network-layer protection.

Authorized external attack-surface analysis: assets, public code, JavaScript and APIs, cloud footprint, secret exposure, and technology relationships.

03 / RESEARCH SYSTEM

Data is not a report.
It is an attack map.

I do not collect signals for volume. Code, traffic, roles, states, configurations, and passive external intelligence become testable hypotheses.

01 / INPUTS

What I analyze

  • Source code and dependency graph
  • API schemas, traffic, and JavaScript
  • Roles, sessions, and business rules
  • Cloud, IAM, containers, and CI/CD
  • Logs, telemetry, and system states
  • Passive public footprint
02 / REASONING

How I connect it

  • Attack surface and trust mapping
  • Role and tenant differential testing
  • State-machine and transaction analysis
  • Hypothesis-driven manual testing
  • Cross-layer system correlation
  • Attack-chain and impact modeling
03 / FINDINGS

What I uncover

  • Auth bypass and broken access boundaries
  • IDOR / BOLA / BFLA and tenant isolation
  • Business-logic flaws and race conditions
  • Server-side vulnerability chains
  • Secrets, supply chain, and configuration drift
  • Systemic risk in product context
TRACK 01

Web & API Security

I assess the full lifecycle of data, roles, and transactions — not endpoints in isolation.

OAuth / SAML / JWTSessions / RBACREST / GraphQL / gRPC IDOR / BOLA / BFLASQL / NoSQL / SSTISSRF / XXE / Traversal XSS / CSRF / MessagingFiles / Export / ArchivesPayments / Refunds / Races
MANUAL FIRST Model the system first. Test second.

Every finding must be reproducible, carry clear impact, and include a concrete remediation path.

04 / PROCESS

From scope
to risk closure.

A transparent process with no black box. Your team knows what is happening at every stage.

01

Define the boundaries

Scope, rules of engagement, access, timeline, NDA, and written authorization.

PREPARE
02

Map the system

Architecture, roles, assets, APIs, trust relationships, and attack surface.

MODEL
03

Test hypotheses

Manual testing, edge cases, business logic, and exploitation chains.

TEST
04

Turn risk into action

Reproducible steps, severity, impact, and a concrete remediation strategy.

REPORT
05

Verify the outcome

Team triage, remediation guidance, and retesting.

VERIFY
05 / DELIVERABLES

A report your team
can act on.

Not a tool export, but a document for engineers and leadership: what happened, why it matters, and how to fix it.

01

Executive summary

A map of key risks and priorities for leadership.

02

Technical findings

Context, reproduction steps, evidence, and severity.

03

Remediation plan

Prioritized recommendations without generic advice.

04

Retest

Verification of fixes and documentation of residual risk.

06 / CONTACT

Have a system
you cannot trust blindly?

Tell me about the product and the concern. I will help define a sensible scope, assessment format, and next step — without selling unnecessary work.

Available for new engagements

Your request is submitted through a secure Netlify form.