Stress-test your system against real abuse patterns
AbuseTest sends real abuse patterns at your endpoints (logins, checkouts, signups, APIs) and shows exactly where they break. Before production does.
3 endpoints, no credit card required.
Working code is not the same as resilient systems.
Production failures often emerge from:
AbuseTest simulates these scenarios before your users do, exposing hidden failures in your production logic.
Most systems don’t fail because they are hacked. They fail because they are stressed.
Conventional testing rarely models real-world production behavior. Unit tests validate logic; Abuse Testing validates resilience.
Patterned. Predictable. Repeatable. AbuseTest executes deliberate system abuse to find what others miss.
ANALYZING SYSTEM BEHAVIOR...
HOW IT WORKS
Add endpoints
Paste the URL and HTTP method for each route you want to inspect.
Pick output formats
JSON, PDF, AI-Ready, or Compliance Evidence: choose what you need.
Run inspection
Smart Mode selects and runs misuse scenarios automatically.
Review findings
Get severity, evidence, cost projection, and remediation steps.
CAPABILITIES
Limit & Boundary
- Rate Limit Test
- Traffic Spike Test
- Retry Storm Test
- Boundary Payload Test
Logical Abuse
- Double Submit / Idempotency
- Out of Order Execution
- Race Condition Test
UI & Interaction
- Form Flooding Test
- Rapid Click / Button Spam
Operational Exposure
- Cross-Origin Exposure
- Cost Projection
Security & Access
- Auth Bypass Test
- Protocol Downgrade
REPORTS
STRUCTURE
├─ executionStatus: ExecutionStatus
├─ findings: ReportFinding[]
├─ testedEndpoints: TestedEndpoint[]
├─ executiveSummary: { overallRisk, verdict, keyFindings,
│ priorityActions, businessImpact }
└─ requestLog: { requests[], summary, summaryByEndpoint }
USE CASE
- Programmatic analysis in CI/CD pipelines
- Automated alerting (Slack, PagerDuty, webhooks)
- Historical trend analysis (store in S3/PostgreSQL)
- Custom dashboard integration
STRUCTURE
├─ Executive Summary (non-technical) ├─ Risk Assessment (CRITICAL/HIGH/MODERATE/LOW) ├─ Visual evidence (status codes, response times) ├─ Detailed findings with remediation steps ├─ Operational cost projection └─ Compliance-ready formatting
USE CASE
- Stakeholder presentation (CTO, CISO, Board)
- Compliance documentation (SOC2, ISO27001, PCI-DSS)
- Audit trail archival and legal evidence
- Client deliverables for security assessments
STRUCTURE
├─ Markdown with structured sections ├─ JSON code blocks for LLM parsing ├─ Implementation hints per finding ├─ Remediation priority matrix └─ Code examples and fix suggestions
USE CASE
- AI-assisted remediation (GPT-4o, Claude 4, Gemini 2.5)
- Developer handoff with full context
- IDE integration (Cursor, Windsurf, Cline)
- Automated documentation generation
LLM COMPATIBILITY
CALCULATION BASIS
├─ Exposure score per endpoint (weighted by finding type) ├─ Attacker throughput (adjusted by real latency) ├─ Endpoint count multiplier (√N scaling) └─ Compute cost factor (log scale, capped 3×)
METHODOLOGY
score = Σ(finding_weight × endpoints) / max_possible cost = attackers × throughput × endpoints × cloud_rate # Dynamic model: scales with actual test results # Not a fixed estimate: varies per inspection
USE CASE
- Business impact quantification for leadership
- Security budget justification
- Risk prioritization (cost vs. effort)
- Infrastructure capacity planning
STRUCTURE
├─ Executive Summary + Risk Level ├─ Control Mapping Table (framework → control → result) ├─ Evidence by Framework (detailed per control) ├─ Test Execution Timeline └─ Methodology + Disclaimer
FRAMEWORK COVERAGE
USE CASE
- SOC 2 / ISO audit preparation evidence
- Internal risk committee reporting
- Regulatory compliance documentation
- Third-party security assessment support
COMPLIANCE ALIGNMENT
NIST SSDF
Secure Software Development Framework: misuse testing and resilience validation
ISO/IEC 27005
Risk Scenario Modeling: structured misuse simulations and impact analysis
SOC 2
Security & Availability Criteria: operational control evidence
AbuseTest supports technical validation practices aligned with international security and risk management frameworks.
SCOPE
What We Test
Controlled misuse simulations against publicly accessible endpoints
- Public APIs
- Serverless endpoints (Lambda, Cloud Functions)
- REST/RPC over HTTPS
- Web workflows with accessible APIs
- Payment confirmation endpoints
- Authenticated endpoints (with valid token)
- Production/staging over internet
If it's reachable over HTTPS, it can be behavior-tested.
What We Don't Test
We do not operate inside private infrastructure
- localhost / 127.0.0.1
- 192.168.x.x private networks
- Internal VPC-only services
- Direct database connections
- Non-exposed microservices
- Corporate firewall-protected endpoints
- Systems not on public internet
If not externally reachable, external simulation is not possible.
BUILT FOR BUILDERS
SaaS Founders
Validate API resilience before you scale.
Payment Systems
Test idempotency, race conditions, and billing flows.
API-First Products
Inspect rate limits, retry logic, and abuse vectors.
Compliance Teams
Generate evidence packs for SOC 2, ISO 27005, NIST SSDF.
DevOps & SRE
Automate inspections with scheduled runs.
Early-Stage Teams
Ship with confidence, no security team required.
Product Guides
Learn How to Test Your API Against Abuse
Practical engineering guides to identify exposed endpoints, model misuse scenarios, and protect operational stability before production incidents.
Don't let production be your first stress test.
Run an Operational InspectionChoose your coverage level. Start in minutes.
This Is Not Internal Penetration Testing
AbuseTest simulates external misuse behavior.
It does not scan internal infrastructure or bypass network controls.