Agentic Mobile Application Penetration Testing
Autonomous AI agents take your mobile app apart, attack the defences it ships with, run it live, and test the backend APIs behind it. Findings are validated and correlated into attack chains before they reach your team.
What is mobile application penetration testing?
Mobile application penetration testing attacks a mobile app the way an adversary would: decompiling the binary, defeating its anti-tampering controls, running it in an instrumented environment, reading its traffic through certificate pinning, and testing the backend APIs it calls. Unlike a scanner, it proves exploitability with evidence and correlates isolated weaknesses into attack chains.
A mobile app is the only part of your estate you hand directly to the attacker
Web application testing assumes the code stays on your server. Mobile inverts that, and three problems follow from it that no web pentest is built to catch.
They get the binary, and all the time in the world
Anyone can download your app and decompile it at leisure on hardware you do not control. Every key, endpoint and business rule shipped inside the package is readable. There is no rate limit, no WAF and no server-side control over any of it.
You ship root detection and pinning. Nobody tests whether they hold
Anti-tampering, certificate pinning and integrity attestation appear on the checklist as implemented. Whether they survive an attacker with an instrumented device is a separate question, and it is almost never asked.
The APIs behind the app are in nobody's inventory
Mobile clients call endpoints that never appear in the web front end. They are missing from the gateway list, missing from the developer portal, and out of scope in the web pentest. The app itself is the map to them.
Find every app published under your name, before you test any of them
Most mobile programmes start with a binary somebody emails you, which only ever tests the apps you already knew about. FireCompass starts by searching the public app stores for everything published under your organisation.
Search by organisation identifier
- Domain, company name, publisher email or package identifier, in any combination
- A broad mode returns apps matching any identifier; a stricter mode returns only those matching all of them
- Both major public app stores covered
- Surfaces regional builds, acquired brands and white-labelled apps security has never seen
Then scope what matters
- Promote discovered apps into an in-scope inventory
- Group them into projects, each with its own assessment configuration
- Version tracking, so every scan is tied to a specific verified build
- Assess an in-scope app directly, without anyone hunting for the binary
A fast pass for every release. A full forensic assessment when it counts.
Both run autonomously with no analyst steering, and both produce evidence-backed findings in the same views. The difference is depth.
Fast pass
For every build, every sprint, and pre-release gates. Completes in minutes.
- Static or dynamic mode, selected per scan
- Bytecode, manifests and embedded resources analysed for security weaknesses
- Hardcoded secrets, binary hardening and OWASP Mobile Top 10 mapping
- Fast enough to sit inside a release pipeline rather than beside it
Full forensic analysis
For crown-jewel apps, compliance evidence and pre-launch assurance. Typically about an hour.
- Static analysis, defensive controls testing and live runtime execution, correlated into one result
- Optional API security validation from the backend collection captured at runtime
- Unauthenticated or authenticated coverage using your test credentials
- Validation and correlation pass that confirms findings and builds attack chains
- Full evidence package, integrity fingerprints and a stage-level execution record
Assessment time varies with application size, framework and reachable surface. Compare either against the 5 to 10 day window typical of a manual mobile engagement.
Four testing layers, run by specialist agents
Each agent owns one question and reports evidence for it. The layers run in sequence and each feeds the next, which is why the output is a chain rather than a list.
Static analysis
The binary is decompiled and read at source, bytecode and resource level. This is where secrets shipped inside client code surface, along with the cryptography and network decisions the developers actually made rather than the ones documented.
- Hardcoded credentials, such as a third-party platform access token sitting in string resources
- Cryptographic misuse, such as RSA with PKCS#1 v1.5 padding instead of OAEP on sensitive customer data
- Insecure data storage, such as session cookies and personal data written to plaintext preferences
- Improper certificate validation, such as a socket factory initialised to trust all certificates
Defensive controls testing
This is the layer most tooling skips. Other tools detect whether a control is present. These agents attack the control and report whether it holds, degrades, or can be bypassed outright. A control that is present but bypassable offers no protection while appearing on every compliance checklist as implemented.
- Pinning absent or bypassable, which turns every network finding into a live interception risk
- Root and emulator checks defeated, so the app runs fully instrumented on an attacker-controlled device
- Attestation present but not validated server-side, which makes the control decorative
- Biometric authentication not cryptographically bound, allowing a forced callback bypass
Runtime and dynamic analysis
The app is instrumented, re-signed and smoke-tested, then executed live and observed. Static analysis tells you what the code says. This tells you what the app does: what it writes to disk, what it sends over the wire, and which cryptographic operations it actually invokes.
- Traffic read through pinning, including HTTPS, giving the full backend conversation
- Absences that are themselves findings, such as a secure keystore operation expected during execution and never observed
- Missing database encryption, detected the same way, by an expected runtime operation never firing
- Sensitive data in application logs, captured and filtered to the target process
API security validation
The endpoints captured at runtime become a tested surface rather than a report appendix. This is the layer that turns a mobile finding into an enterprise finding, because the backend behind the app is usually shared with everything else you run.
- Authentication, authorization and business logic exercised per endpoint
- Cross-layer correlation, linking static, runtime and API findings into chains with elevated combined impact
- Recovered credentials tested onward across web, infrastructure and identity by the same agent network
- Bring your own collection to define the backend surface explicitly instead of relying on capture
Raw events are not findings. Your team should only see the validated ones.
A static pass on a large production app can emit well over a thousand raw events. Handing that to an AppSec team is how mobile programmes stall. A dedicated agent sits between the two.
Every security event, kept
What each agent observed across all engagements, with its evidence attached. Nothing is discarded, so any verdict can be traced back to source during review or audit.
Confirm, reject, correlate
Every event is reviewed against its evidence. True positives are confirmed, false positives are rejected, and related findings are correlated into attack chains. The pass reports its own counts for each outcome.
Validated risks, prioritised
What your team works from: severity-ranked validated risks with enriched context and remediation guidance, each carrying an explicit confidence level.
Three findings every triage queue would defer, rated critical together
From an enterprise assessment of a live consumer app. Anonymised.
No certificate pinning
Nothing prevents an attacker-supplied certificate from being trusted.
Cleartext traffic permitted
The network configuration explicitly allowed it, removing the fallback protection.
Web view writes arbitrary files
An exposed interface dropped attacker-controllable files into shared device storage.
Correlated: an attacker on a rogue access point installs a trusted certificate authority, reads and modifies the session because nothing stops interception, then uses the exposed web view interface to drop files on the device. Full session compromise plus a persistent foothold, from three findings a scanner reports separately and a queue deprioritises.
Other chain classes the correlation agent produces.
Your app is already on devices you do not control
Someone has the binary. The only question is whether you have read it first.
Four outputs, one evidence base
The validated risks from step three are only part of what an assessment leaves behind. The rest serves the engineer fixing the bug and the auditor asking what was actually tested.
Finding detail
The affected class or component named directly, mapped to OWASP Mobile Top 10 and CWE, with the evidence behind the verdict and a retest to confirm the fix closed it.
Scan history
Every pipeline stage with its status, including what was skipped or degraded, plus a cryptographic fingerprint of the assessed binary and the authentication mode used.
Scan reports
Exports in JSON, PDF and CSV, plus the full artefact package: binary, captured streams, logs, session record and the backend endpoint inventory.
Portfolio view
Coverage across every project, application and version, so a programme lead can see which apps have been assessed, at which build, and when.
Mobile testing approaches, side by side
| Capability | Mobile scanner / MAST | Manual mobile pentest | FireCompass |
|---|---|---|---|
| App discovery from public stores | Upload only | Client-supplied list | By domain, company, email or package |
| Static binary and secrets analysis | Yes | Yes | Nine specialist agents |
| Defensive controls attacked, not just detected | Detection only | Analyst dependent | Six agents, verdict per control |
| Instrumented runtime execution | Limited or none | Yes | Twelve phases |
| Backend API surface tested | Not supported | Usually out of scope | Captured and validated |
| False positives rejected before triage | Not supported | Analyst review | Dedicated validation agent |
| Attack chain correlation | Single findings | Manual chaining | Cross-layer orchestrator |
| Chains into web, infrastructure and identity | Not supported | Limited by scope | Same agent network |
| Stage-level execution audit trail | Report only | Report only | Every stage, every status |
| Turnaround | Minutes, static only | 5 to 10 days | Minutes to about an hour, full depth |
Manual mobile pentest: consultant testing across a typical 5 to 10 day engagement window. Mobile scanner or MAST: static analysis with limited or no runtime instrumentation.
What we need, what runs automatically, and where depth is limited
Published up front, because you will ask on the call anyway and the answer does not improve by waiting.
What you provide
- An application package, or an app already promoted into your in-scope inventory from discovery
- Test account credentials for authenticated coverage. The agents do not create accounts and do not test against real customer data
- Scope confirmation, so the agents know which backend hosts are in bounds
What runs automatically
- Decompilation, instrumentation, re-signing and smoke testing of the prepared build
- Bypass handling for anti-instrumentation, root, pinning and device integrity controls
- Framework detection, so the rest of the assessment is tuned to how the app was built
Where depth is limited
- CAPTCHA and MFA gates are not solved automatically. Provide a path through or expect reduced post-login coverage
- Where instrumentation does not survive smoke testing, the assessment proceeds with reduced runtime depth and says so
- Hardware-bound attestation and DRM-specific environments can limit runtime analysis
You are handing an agent a signed binary and live credentials. The controls sit below the model.
Guardrails enforced between orchestration and runtime, not requested of the model in a prompt.
Scope and payload control
- Boundary checks before every agent dispatch
- Safe payload defaults permit read and create, block modify and delete unless enabled
- Rate limiting per target host
- Operator termination reaches every active agent at once
Evidence and audit
- Append-only log with cryptographic timestamps
- Cryptographic fingerprint of every assessed binary
- Every stage recorded with status, including warnings and skips
- Evidence aligned to DORA, PCI DSS 4.0, SOC 2 Type II and ISO 27001
Cost and data control
- Spend budgets governed per validation pass, with usage reported
- Quota visibility across projects and scan types before you commit a run
- Role-based access across users, asset groups and programmes
- Local model hosting where data residency requires it
Start with mobile. Expand to full red teaming and CTEM.
Mobile is one surface on the agent network that already tests the rest of your estate.
Mobile application pentesting
Static, defensive controls, runtime and API validation, correlated into attack chains.
Web and API pentesting
Authenticated and unauthenticated paths, business logic abuse and proof of exploit.
Infrastructure pentesting
Networks, servers and cloud, validated through the same pipeline.
Automated red teaming
MITRE ATT&CK aligned attack trees, lateral movement and privilege escalation.
CTEM and attack surface management
External discovery of shadow assets and ongoing exposure prioritisation.
SaaS or internal appliance
SaaS in minutes for external testing. Internal appliance in under one hour.
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Mobile application penetration testing, answered
What is mobile application penetration testing?
Mobile application penetration testing is the process of safely attacking a mobile app to show how an adversary could steal data, bypass controls or reach the backend behind it. A modern mobile pentest decompiles the binary, tests whether the app's own defensive controls hold, runs it in an instrumented environment, reads its traffic through certificate pinning, and tests the APIs it calls, proving exploitability rather than listing theoretical weaknesses.
Can FireCompass find apps we do not know about?
Yes, and this is usually where a programme should start. Discovery searches public app stores by domain, company name, publisher email or package identifier, in any combination, using either a broad match on any identifier or a stricter match on all of them. Discovered apps are promoted into an in-scope inventory and can be assessed directly without anyone locating a binary first.
What is the difference between a rapid scan and an enterprise scan?
A rapid scan is a fast pass built to sit inside a release pipeline, running static or dynamic mode against the build in minutes. An enterprise scan is a full forensic assessment: static analysis, defensive controls testing and live runtime execution, plus optional API security validation, followed by a validation and correlation pass that builds attack chains. Both produce evidence-backed findings in the same views.
What is defensive controls testing, and why does it matter?
Most mobile tooling detects whether a control is present. FireCompass attacks the control and reports whether it survives. Dedicated agents assess root detection, certificate pinning, emulator detection, anti-instrumentation, platform integrity attestation and device integrity. The distinction matters because a control that is present but bypassable, or attested but never validated server-side, offers no protection while appearing on every compliance checklist as implemented.
How is this different from a mobile app scanner or a MAST tool?
A scanner reads the binary and reports what the app declares. It also reports everything it sees, which on a large production app can exceed a thousand raw events. FireCompass runs four testing layers, then puts every event through a validation agent that confirms true positives, rejects false positives and correlates what survives into ranked risks. Your team works from the validated set while the raw events stay available for audit.
Does FireCompass test the backend APIs behind the app?
Yes, and this is the main reason to run mobile testing here rather than with a point tool. Runtime capture reads the app's backend conversation through certificate pinning and produces an interoperable endpoint collection, which is then submitted for API security testing. A correlation agent links static, runtime and API findings into chains with elevated combined impact. You can also supply your own collection to define the surface explicitly.
What do we receive at the end of an assessment?
Four views over one evidence base: a validated risk register for prioritisation, per-finding detail naming the affected class or component with OWASP Mobile Top 10 and CWE mapping, a stage-level execution record showing what completed and what degraded, and exports in JSON, PDF and CSV alongside the full artefact package including the binary, captured streams, logs and session record.
Is it safe to run against a production application?
Scope boundaries are checked before every agent dispatch, and safe payload defaults permit read and create operations while blocking modify, update and delete unless you enable them. Rate limiting is applied per target host, an operator can terminate every active agent at once, and every decision and payload is recorded in an append-only audit log with cryptographic timestamps.
How often can we test?
On your cadence. Because no consultant calendar is involved, a rapid scan can run against every build while enterprise scans run on the schedule your risk appetite calls for. Quota across projects and scan types is visible before you commit a run, and a retest confirms fixes against the same evidence.
How does this fit alongside our web application pentesting?
It runs on the same agent network, which is the point. Credentials and tokens recovered from a mobile assessment are tested against the rest of your estate, so a finding in the app can be followed through the API into web and infrastructure surfaces, including Active Directory. You get one validated attack path instead of two reports that never reference each other.
Go deeper
Agentic Web Application Pentesting
The web and API surface your mobile app talks to, tested by the same agent network.
10 Questions to Ask Your AI Pen Testing Vendor
What to ask before you trust an AI agent with a signed binary and live credentials.
The FireCompass Agentic AI Platform
How the agent network, the safety layer and the validation pipeline fit together.
See what your mobile app hands an attacker
A security expert will walk you through an assessment end to end: discovery, the four testing layers, the validation pass, and the reports your team would work from.