IDORSSRFAUTH BYPASSJWT FORGERYRACE CONDITIONXXEBROKEN OBJECT-LEVEL AUTHPRIVILEGE ESCALATIONMASS ASSIGNMENTGRAPHQL INTROSPECTION ABUSEIDORSSRFAUTH BYPASSJWT FORGERYRACE CONDITIONXXEBROKEN OBJECT-LEVEL AUTHPRIVILEGE ESCALATIONMASS ASSIGNMENTGRAPHQL INTROSPECTION ABUSE
Impactr Logoimpactr
FeaturesHow it worksEvidencePricingLearnVulnerability DBCompare

capabilities

Everything a senior pentester does. Continuously.

Impactr is an autonomous AI penetration testing platform for web applications and APIs. It investigates, chains vulnerabilities into real attack paths, and proves impact with reproducible evidence - on every deploy, not twice a year.

Join the waitlistSee a sample finding
01

Autonomous AI investigation

Impactr explores your application the way an experienced offensive security engineer would - dynamically, not from a signature list. It builds a live model of your attack surface, follows redirects and hidden parameters, tests role and tenant boundaries, and forms hypotheses about where the real weaknesses are before probing them.

  • Dynamic attack-surface mapping of endpoints, roles, and data flows
  • Hypothesis-driven probing instead of blind signature matching
  • Understands authenticated context across multiple roles
02

Attack-chain discovery

Real breaches are rarely a single bug. Impactr combines individually low-severity findings into confirmed, exploitable attack paths - an information leak that reveals an IDOR, an auth flaw that unlocks it, a logic bug that escalates it to account takeover. You see the chain, not a pile of disconnected alerts.

  • Correlates findings across endpoints and services
  • Escalates low-severity issues into critical, proven paths
  • Maps each step from entry point to impact
03

Proof-first evidence

Nothing reaches your report without a working exploit. Every confirmed finding ships with the exact request and response, a reproducible proof of concept you can replay yourself, and a remediation your team can act on the same day. No triaging a wall of maybes.

  • Reproducible request/response pairs for every finding
  • Developer-ready remediation, not just an auditor summary
  • Actively validated - low false-positive rate by design
04

Access-control & authentication testing

Access-control flaws are the vulnerabilities scanners miss most and attackers exploit most. Impactr reasons about auth roles and tenant boundaries to surface IDOR, BOLA, BFLA, privilege escalation, and broken session handling - the flaws that turn one account into every account.

  • IDOR / BOLA / BFLA and cross-tenant isolation testing
  • JWT, OAuth, and session-handling analysis
  • Privilege-escalation and mass-assignment checks
05

API & business-logic testing

Point Impactr at a REST or GraphQL surface, with or without an OpenAPI spec. It parses your schema to understand intent, then tests the business logic between endpoints - not just individual routes - to find the abuse cases automated scanners can't reason about.

  • REST and GraphQL, with or without a spec
  • Business-logic and workflow abuse testing
  • Rate-limit bypass, race conditions, and batching attacks
06

Continuous testing on every deploy

Your app ships dozens of times between scheduled pentests. Impactr runs continuously as you deploy, so new code is exercised before attackers reach it - and once you fix a finding, it re-runs the exact chain to prove the path is closed and stays closed.

  • Runs on every merge and deploy via CI/CD and webhooks
  • Regression validation of previously fixed findings
  • Evidence packages for SOC 2, ISO 27001, and PCI DSS reviews

Find out what your scanner is missing.

Join the waitlist to get early access as we onboard new teams.

Join the waitlist
Impactr Logoimpactr

Built by hackers, for the code you ship. Autonomous AI penetration testing for modern web apps and APIs.

© 2026 Impactr

Product

FeaturesCoverageUse casesEvidencePricingWaitlist

Resources

VulnerabilitiesVulnerability databaseGuidesComparisonsGlossaryCWE databaseBy industryBy languageHTTP status codesSecurity headers

Company

ContactTwitterLinkedInGitHub