Product · Web App Pentesting
Automated web application penetration testing that authenticates like a user, observes like an engineer, and exploits like an attacker.
An LLM-driven login agent signs in, read-only reconnaissance runs noise-free first, testing adapts to what was observed, and every finding is verified against the live target before it reaches your queue.
Replay-verified findings LLM login · 5 stages
https://app.example.com
Engagement flow
Five deterministic stages run in order with escalation chains grafted on confirmed findings.
LOGIN
A reasoning agent operates the real login UI — SPAs, OAuth, SAML, MFA. No selectors, no recorded scripts.
RECON
Pentrova observes traffic, DOM, headers, and responses first — no exploit payloads — so the first pass is noise-free reconnaissance.
PLAN
Testing adapts to what was just observed instead of following a fixed checklist. Coverage grows along the real attack surface.
VERIFY
Every candidate finding is verified against the live target before it ships. Only substantiated findings reach your queue.
CHAIN
Confirmed findings feed the chain resolver — LFI becomes RCE, SSRF becomes cloud metadata read, SQLi becomes file exfiltration.
Direct answers to the three buyer questions we field most often for this surface. See the full FAQ below for the rest.
Common objection
Most scanners score findings probabilistically, which is why AppSec queues grow faster than they shrink. Pentrova only publishes findings our verifier can reproduce, so you are not adding a second queue — you are retiring the unreproducible half of the first one. The product is engineered so backlog should shrink as Pentrova lands, not expand.
Common objection
Free scanners are excellent at what they do and we ship our own four free tools for that reason. Pentrova replaces the human hours teams spend triaging and reproducing probabilistic findings, not the scanners themselves. The pricing is set so a verified PoC bundle costs less than the engineering time a probabilistic queue would consume.
Common objection
Every candidate finding is replayed in a clean session by our verifier and the differential signal that flagged it — status code, response body hash, sensitive byte sequences, error patterns — is compared against a clean baseline before it becomes a ticket. Findings whose differential does not reproduce never enter the queue. In practice that turns the "noise vs signal" ratio into a binary gate: if the differential reproduces, it is signal.
Next step
No sales call. No setup fee. Proof in minutes.
