Find the bugs before attackers do.

Shadow Security delivers pragmatic, senior‑level penetration testing and application security for modern products and platforms. We test like attackers, report like partners, and fix with you.

Years
4+
Findings fixed
1k+
Stacks
Web · API · Cloud
Approach
Manual‑first
/* Shadow Security Assessment Flow (Abbreviated)
 * Methodology: OWASP ASVS · PTES · NIST 800-115
 * Coverage: Authentication · Authorization · Storage · Cloud · Supply-Chain
 */

1. Architecture & Threat Modeling (STRIDE/LINDDUN)
2. Authentication, MFA, and Session Integrity Review
3. Authorization & Access Control (RBAC/ABAC, IDOR, tenancy isolation)
4. Client-side & Server-side Injection (XSS, SQLi, NoSQLi, SSRF)
5. Data Validation, Sanitization, and Storage Security
6. API Abuse, Rate-Limit Bypass, and Business Logic Flaws
7. File Upload, Deserialization, and Sandbox Escape
8. Secrets, Cloud Misconfigurations, and Token Handling
9. Race Conditions, TOCTOU, Workflow Manipulation
10. Exploit Proof-of-Concepts & Strategic Remediation Guidance

Tools & ecosystems we work with

Services

Engagements tailored to product maturity, compliance targets, and release schedules.

Web & API Penetration Testing

Manual‑first testing mapped to OWASP ASVS & Top 10, with exploit proof‑of‑concepts and fix‑ready guidance.

  • IDOR, authN/Z, session, SSRF
  • XSS, SQLi/NoSQLi, deserialization
  • Rate limiting, multi‑tenant isolation

Network Penetration Testing

Internal/external, AD attack paths, misconfigurations, exposed services, and lateral movement simulation.

  • Recon, vuln validation, exploit dev
  • Credential hygiene & segmentation
  • Clear risk & remediation report

Cloud Security Assessments

AWS/Azure hardening, IAM least privilege, secret handling, CI/CD, container runtime, and exposed assets.

Threat Modeling & SDLC

STRIDE/LINDDUN workshops, security requirements, secure architecture reviews, and developer enablement.

AI / LLM App Security

Prompt injection, data exfiltration, agentic abuse, model‑in‑the‑loop risks, and safety guardrails design.

Security Training

Hands‑on secure coding and attack labs aligned to your stack and common findings.

Approach

Evidence‑driven testing, clear risk ratings, developer‑ready fixes, and partnership through remediation.

01 · Scope & Threat Model

Align on assets, roles, and abuse cases. Model trust boundaries, tenant isolation, and data flows.

02 · Manual‑First Testing

Exploratory testing augmented by tooling. Focus on business logic and high‑impact chains.

03 · Reporting That Ships

Actionable PoCs, reproduction steps, and prioritized fixes mapped to ASVS/CWE/CVSS.

04 · Remediation Partner

Review PRs, retest fixes, and help build lasting controls (SDLC, authN/Z, secrets, observability).

Who we help

High‑growth SaaS, fintech, and enterprise platforms needing a senior partner that understands product velocity.

“Clear, senior feedback with PoCs my engineers could run. The retest verified our fixes and improved our SDLC.”
CTO — B2B SaaS
“They found a multi‑tenant isolation issue our scanners missed. The guidance shipped within a sprint.”
Engineering Manager — Fintech
“Best pentest report we’ve received: prioritized, reproducible, mapped to ASVS, with realistic attack chains.”
Security Lead — Enterprise

About Shadow Security

Founded by seasoned application security engineers with 6+ years of hands‑on experience across web, API, cloud, and networks. We’ve built and broken real systems, integrated with CI/CD, and helped teams scale secure practices without slowing delivery.

Core strengths

  • Manual exploit development & realistic chains
  • Auth0/Okta, RBAC/ABAC, multi‑tenant isolation
  • Threat modeling (STRIDE/LINDDUN)
  • Secure SDLC coaching, PR reviews
  • Cloud posture & secrets management
  • AI/LLM safety reviews (prompt injection, RAG abuse)

Engagement artifacts

  • Executive summary & technical report (ASVS/CWE/CVSS mapping)
  • Exploit PoCs, screenshots, and timelines
  • Risk ratings with business impact
  • Fix‑ready recommendations and code snippets
  • Retest validation memo

Get a Quote

Tell us about your scope, timelines, and goals. We’ll respond within one business day.

Contact

Typical engagement lengths

  • Web/API pentest: 1–3 weeks
  • Network pentest: 1–2 weeks
  • Cloud assessment: 1–2 weeks
  • Threat modeling workshop: 1–3 days

We operate under a strict code of ethics and only test with written authorization.