Attackers don't want your app.
They want the money movement behind it.
Cards, wallets, ledgers, open-banking APIs and the operations consoles that move funds are one connected attack surface. We model how an attacker reaches the money, the customer data and the payment rails, then we prove the route and show you how to close it.
◇ The same threat-model-first method we use for robots and drones, applied to your sector. Complete assessment within 10 business days of validated intake.
The threats that actually reach a payments business are rarely a single CVE. They are chains that end at funds, PII or the payment rails.
Account takeover at scale
Credential stuffing, SIM-swap and session theft against retail and business banking, then straight into transfers and standing orders.
Business-logic and payment-flow abuse
Race conditions, negative amounts, currency and rounding tricks, and step skipping that a scanner never sees but a determined attacker does.
Broken authorisation across tenants
One customer or merchant reaching another's balances, statements or payout config through an object-reference or role flaw.
Open-banking and third-party risk
Over-scoped tokens, weak consent handling and compromised TPP or vendor integrations that pivot into your core.
Security testing and fraud are the same problem viewed from two angles. We test the controls that fraud teams rely on, adversarially.
Synthetic identity & onboarding abuse
Bypassing KYC, document and liveness checks; farming accounts for mule networks.
Payment & authorisation fraud
Card testing, 3-D Secure and SCA bypass, refund and chargeback abuse, and authorisation-hold manipulation.
Promo, referral & rewards abuse
Automated exploitation of sign-up bonuses, cashback and referral logic that quietly drains margin.
Money-movement & mule rails
How compromised or synthetic accounts are chained to move funds fast and launder them through your rails.
What we test, framed by what an attacker achieves there.
Threat
Broken auth, logic abuse, IDOR
Impact
Funds moved, balances altered, rails abused
Threat
Over-scoped consent, token replay
Impact
Third-party access to accounts and data
Threat
Session, jailbreak/root, client secrets
Impact
Account takeover, credential theft
Threat
Privilege escalation, weak MFA
Impact
Mass payout, config change, insider-grade access
Threat
Misconfig, secrets, supply chain
Impact
Tenant compromise, code-to-prod pivot
Threat
Exfiltration, tampering
Impact
PII loss, ledger integrity failure
And attackers move
faster than your patch cycle.
A connected machine inherits the whole internet's tempo. By the time a fix ships, the route has usually already been walked.
Negative. Exploitation now routinely begins before the patch exists. In 2018 you had 63 days.
From intrusion to handing your network to whoever monetises it. In 2022 that window was over eight hours.
Vulnerability exploitation has overtaken stolen credentials as the leading way in.
Up from 32. Defenders slowed down by a third while attackers moved to exploiting pre-patch.
One engagement. Travel it end to end.
MAP → MODEL → CHAIN → BREAK → HARDEN
One threat-intelligence-led method, run across the machine, its communications, the cloud, the apps and the AI. Every step narrows the route to what actually matters.
We don't start with a vulnerability scanner. We start with the threat model.
Threat modelling and attack-path mapping run first, on every engagement. A drone, a web app, a cloud tenant or an AI agent. STRIDE, MITRE ATT&CK and PASTA, applied before we test.
The robot, firmware, OS, ROS/ROS 2, sensors, debug ports, radios, command stations, apps, APIs, cloud and update infrastructure, as one system.
Assets, trust boundaries, operators and admins, the adversaries that target your sector, and the cyber-physical safety cases.
Weaknesses connected into real routes to the crown jewels: fleet control, video, PII, physical operation and safety systems.
Real actor TTPs and IOCs, MITRE ATT&CK Enterprise + ICS, executed inside an agreed test boundary. Proof, not theory.
Findings, kill chains, business and safety impact, detection gaps and remediation by engineering owner. Plus one retest.
Because we know your crown jewels and trust boundaries before a single test, the testing time goes to the paths that actually reach them.
Not CVSS in isolation. A “medium” on the only path to your fleet controller outranks a “high” that leads nowhere.
We map the toxic combinations and find the single fix that collapses a dozen routes at once.
◇ Applied to robots and drones. Applied to every ThreatScout engagement, in every industry.
How the assessment supports your obligations.
Testing evidences technical controls that regulators expect. It does not by itself discharge your obligations, and we say so plainly in every report.
DORA
Digital Operational Resilience Act: threat-led penetration testing (TLPT) and ICT risk expectations for EU financial entities.
PCI DSS
Segmentation testing and application/penetration testing requirements for cardholder-data environments.
PSD2 / SCA
Strong customer authentication and secure open-banking interfaces, tested against real bypass techniques.
GDPR
Demonstrable protection of customer and transaction data across the estate.
Ready to see the routes into your fintech & payments stack?
We map the threat model, chain the attack paths, prove the exploitable ones and hand your engineers the fixes. Within 10 business days of validated intake.
Book an assessment