APPLICATION SECURITY · PRIVATE BETA

Find the flaws
that hide in behavior.

Modern applications break in the gaps between users, permissions, state, and business rules. VulnGPT is built to investigate those gaps — and demand evidence before raising an alert.

For applications you own or are authorized to test.
VulnGPT's pixel bug mascot
01Observe behaviorState · identity · response✓
02Validate the hypothesisControlled · reproducible
EVIDENCE-FIRST ENGINEERING
BUILT FOR THE HARDER QUESTIONS
Who can access this?What changes across roles?Can the behavior be reproduced?
01 / THE EXPERIENCE

Designed for clarity.
Built for scrutiny.

VulnGPT is being developed for both hands-on security practitioners and builders who need a clearer path to application security.

VulnGPT dashboard with workspace overview, a completed Payments API scan, finding summary, and severity distribution
Workspace dashboardScan overview and finding triage01 / 05
VulnGPT findings list with verdict filters, severity labels, and finding summaries
FindingsReview by verdict and severity02 / 05
BOLA invoice lookup finding detail with description, status, operator feedback, targeted retest, and evidence sections
Finding detailBOLA investigation and review context03 / 05
VulnGPT Live Vision recorded-scan view with activity map, selectable layers, recorded item details, and investigation timeline
Live VisionRecorded activity and investigation timeline04 / 05
Elite Red Team Reports interface; generation and download are disabled by export policy in this capture
Elite Red Team ReportsReport library and intelligence categories05 / 05

Genuine product-interface captures supplied for this showcase. Open any image for the full-size view. Workspace names, counts, statuses, and report controls reflect the captured state only; they are not live telemetry, customer outcomes, or a guarantee of current availability. The report capture explicitly shows generation and download disabled by export policy.

02 / THE APPROACH

A response is a clue.
Not proof.

Finding a suspicious response is easy. Establishing what it means — under the right identity, state, and permissions — is the hard part.

A / 01

Investigate context

Keep actors, sessions, object ownership, and application state in view instead of treating every request as an isolated payload.

A / 02

Challenge the hypothesis

Separate discovery from confirmation. Look for controlled evidence that supports — or falsifies — a suspected issue.

A / 03

Make results actionable

Prioritize reproducible evidence and clear reasoning, so security teams spend less time triaging unsupported signals.

03 / WHAT WE INVESTIGATE

Beyond the payload.

Complex application vulnerabilities emerge from relationships and transitions — not just strings that match a known pattern.

01

Authorization boundaries

Investigate object-level access, ownership checks, and BOLA/IDOR-style failures across actors.

Object accessRole boundaries
↗
02

Authenticated workflows

Reason across sessions, identity, and multi-step flows where one request depends on what happened before.

Session continuityState transitions
↗
03

Business logic

Probe the assumptions connecting actions, records, roles, and workflow rules — where generic scans often stop short.

Workflow integrityInvariant testing
↗
04

Interference-aware validation

Account for WAF behavior, throttling, session expiry, and changing state before interpreting a result.

Signal qualityRetesting
↗
04 / THE WORKFLOW

From uncertainty
to evidence.

A disciplined path from a behavioral signal to a finding a human can inspect and reproduce.

01
OBSERVE

Build context

Understand the reachable application behavior, identity, and relevant state.

02
HYPOTHESIZE

Identify an invariant

Form a testable hypothesis about what the application should enforce.

03
FALSIFY

Test the boundary

Use controlled interventions to distinguish a real flaw from a misleading signal.

04
PROVE & RETEST

Preserve the evidence

Keep findings tied to observable behavior and a path that can be checked again.

05 / VALIDATION PRINCIPLE

Evidence before conclusions.

A security result should explain the expected boundary, the controlled test, the observed behavior, and the limitations. A suspicious signal is a reason to investigate—not a performance claim.

Read the evidence standard

VulnGPT is in private beta. No public detection-rate, universal zero-false-positive, or independent-certification claim is made here.

VULNGPT / PRIVATE BETA

Test what matters.
Know why it matters.

Help shape an evidence-first approach to application security testing.

Request private beta
Built by NovaSecLabs · Authorized testing only