Application security testing

Find every security issue before it ships.

Whatever your stack ships, Web, Mobile, Thick Client, API (REST · GraphQL · gRPC · MQTT), Cloud. Tested manually by operators who publish CVEs. Every finding lands with a working proof-of-exploit, developer-ready fix guidance, and a re-test.

See the methodology
An application centered in scope, one finding pinpointed: business-logic negative-price bypass, with PROOF · FIX · RE-TEST below.

Coverage

Web · Mobile · Thick Client · API · Cloud, every application class.

Evidence

Working proof-of-exploit and developer-ready fix guidance on every finding.

Re-test included

We verify your fixes at no extra cost. One engagement, closed loop.

Why now

A single dependency typosquat ships RCE before your next sprint review.

Trusted by security teams across Fintech, SaaS & Education, Enterprise & Telecom, Security & Critical Infrastructure

Airbase
Quiltt
Pacvue
Imagine Learning

On record

  • CREST accredited
  • AICPA SOC 2 Type II
  • ISO/IEC 27001

Why application security testing

Risk lives in your application's logic.

Real risk lives in your auth model, your workflow logic, your API resolvers. AppSec testing reads the application like an attacker reads it, from the outside, with intent, until small flaws compound into something the dev team can ship a fix for and the auditor will accept.

How AI fits in application pentests
Risk matrix, a 5×5 grid plotting impact rating against likelihood rating; cell density shows where application findings concentrate, with a high-risk zone bracketed in the upper-right corner.
Risk matrix, a 5×5 grid plotting impact rating against likelihood rating; cell density shows where application findings concentrate, with a high-risk zone bracketed in the upper-right corner.

What we pentest

Every application we ship against.

Pick the application class, same depth across each. Manual chained-exploit testing on every surface, not a scanner sweep.

01

Web Application

Server-rendered and SPA web apps. Auth flows, session handling, OAuth/OIDC, multi-tenant boundaries, business logic, security headers, SSRF, chained against your real user roles.

PAST THE SAMPLE REPORT.

What 47 chained pre-auth exploits actually look like.

47
  1. 01
    IDOR to admin

    Object-reference flaws plus weak session validation. Anonymous to admin.

  2. 02
    Mass assignment to RCE

    Body-bound model fields overwrite admin properties, escalate into deserialization.

  3. 03
    SSRF to cloud role

    Server-side request forgery into IMDS for AWS role assumption from anonymous endpoints.

  4. 04
    OAuth to account takeover

    State-parameter prediction, PKCE downgrade, redirect-URI bypass.

  5. 05
    Business logic to privilege

    Time-of-check race against payment, account merge, role assignment.

What we test —

Eight application surfaces. One engagement.

These are the surfaces SecureLayer7's app-sec practice operates across. Every surface in scope by default; intensity tunes per engagement.

Authentication & Session

Login bypass, session fixation, token prediction, password reset flaws, MFA weaknesses, federation bypass, OAuth/OIDC misconfig.

Authorization & Access Control

IDOR, broken object-level auth, privilege escalation, multi-tenant bleed, role/scope-checking gaps in API + UI.

Business Logic

Price manipulation, workflow abuse, state-machine bypass, race conditions — the chained exploits unique to your application.

API surfaces (REST · GraphQL · gRPC · MQTT)

REST + GraphQL — BOLA, mass assignment, query-cost, schema introspection. gRPC — protobuf field abuse, reflection leaks, streaming-method DoS, mTLS misconfig. MQTT — broker auth, ACL bypass, retained-message exposure, topic-injection across IoT/real-time brokers.

Data Storage & Encryption

Local storage exposure, key management, encryption-at-rest verification, transit ciphers, certificate pinning.

Injection & Execution

SQLi, XXE, SSTI, command injection, deserialization, prototype pollution — tested manually with chained exploits, not just signatures.

Configuration & Secrets

Exposed admin panels, misconfigured headers, leaked secrets in JS bundles, third-party SDK exposure, server-side config drift.

Web3 / Smart Contracts

Solidity audit (reentrancy, integer over/underflow, access-control gaps, unchecked external calls, gas-griefing, oracle manipulation), EIP-712 signature reuse, wallet-connect phishing flows, multicall + delegatecall abuse, ERC-20/ERC-721 approve-and-drain, bridge replay, MEV / front-running on dApp UX.

Findings inside systems that already passed audit. The chain runs through gaps no checklist names.

Compliance is a snapshot. Application pentest is the stress test the snapshot can't show, the chain an attacker actually walks when your auditor isn't watching.
SecureLayer7 Application Security practiceVerified Gartner review

APPLICATION SECURITY METHODOLOGY.

Eight phases. Logic to dependency.

Threat-modeled to your application's user roles, data flows, and business logic. Not a template we run against every engagement.

  1. 01
    Recon & enumeration
  2. 02
    Scope & threat-model
  3. 03
    Static analysis
  4. 04
    Active testing
  5. 05
    App & API analysis
  6. 06
    Vulnerability analysis
  7. 07
    Remediation guidance
  8. 08
    Patch verification

Pentester credentials

Proven expertise in application security.

Pentesters across the SecureLayer7 practice carry the certifications buyers ask procurement to verify.

  • Offensive Security Web Expert
  • Offensive Security Certified Professional
  • Offensive Security Experienced Penetration Tester
  • Offensive Security Certified Expert
  • GIAC Web Application Penetration Tester
  • GIAC Penetration Tester
  • GIAC Exploit Researcher and Advanced Penetration Tester
  • Certified Ethical Hacker
  • CISSP (ISC2)
  • CREST. Council of Registered Ethical Security Testers

Meet our expert

Meet our expert

Nivedita Singh

Security Advisor & Engagement Lead

10+

Years in application security

300+

Engagements led

99.7%

On-time delivery rate

Nivedita scopes application-security engagements against your architecture and risk priorities, then guides the pod from kick-off through final report and re-test.

  • Scopes web, API, mobile, and SaaS-tenant engagements against your real risk model.
  • Owns kick-off, mid-engagement check-ins, and live walkthrough of every finding.
  • Drives remediation review and re-test until every finding is closed.
SL7 Lab. Published CVE research.
Nivedita Singh, Security Advisor & Engagement Lead at SecureLayer7

Ready to scope an application pentest? Book 30 minutes with Nivedita to walk through your stack, scope, and timeline.

Common procurement questions

What buyers ask about application security testing.

Six questions procurement teams ask before signing an AppSec SOW. Answered against our methodology and your auditor.

Show all 6 questions

Have a procurement question not listed here?

For startups

Pre-Series A? Apply for the startup program.

A single Autonomous app pentest, CREST-aligned report, engagement-lead signoff, retest included, heavily discounted for pre-Series A startups passing enterprise procurement or SOC 2 due diligence. Eligibility verified on application.

Apply for the startup program

Tested by industry.

The bug classes named below come from real engagements in each sector. Pick the closest fit.

Tech SaaS

Multi-tenant SaaS, customer-facing portals, admin consoles tested end-to-end.

FinTech

Banking portals, broker dashboards, payment surfaces, custody admin.

HealthTech

EHR front-ends, patient portals, telehealth web apps with PHI flow.

Sample application pentest report, kill-chain · evidence · remediation

Sample engagement report

See what arrives in your inbox.

A pre-vetted sample report: full vulnerability narrative, working PoC, code-level fix guidance. Sent on request after a 5-minute scoping call.