Offensive Security · Mobile Application VAPT · Android & iOS Service dossier · 01/14

Mobile Application Penetration Testing

Once your app ships, it lives on a device you don't control — in the hands of every user, and every attacker. We test it the way they would: pulling it apart on the device, watching it on the wire, and probing the backend it trusts.

Veteran researchers. CERT-In empaneled. Static, dynamic and runtime analysis — not a store review.

Discipline
Offensive
Standards
OWASP MASVS · OWASP MASTG · OWASP Mobile Top 10
Models
Black-box · grey-box · white-box
Retest
Remediation retest included
Credential
CERT-In Empaneled
02

Your code is now on the attacker's device

A mobile app is unlike any other asset you protect: you build it, but it runs somewhere you can't see, on a phone that may be rooted, jailbroken, intercepted or instrumented by the person holding it.

Everything you compile into the binary — keys, logic, endpoints, secrets — travels with it. A determined attacker can decompile it, watch its traffic, hook its functions while it runs, and replay its requests against your backend at leisure. Passing an app store review proves none of this is safe.

That is why mobile security testing has to happen on three fronts at once: what the app stores and does on the device, how it protects data as it moves across the network, and how its backend APIs hold up when the client is no longer trusted. Our assessments combine static, dynamic and runtime analysis with manual exploitation by experienced researchers — going well beyond the OWASP Mobile Top 10 to find the deep technical flaws that automated tooling and a clean Play Store listing will never reveal.

"On mobile, the attacker owns the device. We assume they do — and test for everything they can reach from there."
03

What an attacker is really after

Every finding we report ladders up to a real adversarial goal. These are the outcomes attackers pursue against a mobile app — and the lens we test through, aligned to the OWASP Mobile Top 10.

01

Extracting secrets from the binary

Recovering hardcoded keys, tokens, endpoints and credentials baked into the app.

M1 / M10
02

Reading data left on the device

Harvesting sensitive data the app stores unencrypted in databases, preferences, caches or logs.

M9
03

Intercepting traffic

Defeating weak or missing certificate pinning to read, replay or tamper with data in transit.

M5
04

Bypassing authentication & authorization

Reaching protected functionality or another user's data by abusing weak client-side auth and broken access control.

M3
05

Tampering with the running app

Hooking functions at runtime to disable controls, skip checks or change behaviour.

M7 / M8
06

Defeating defences

Stripping out root/jailbreak detection, anti-debugging and integrity checks to operate freely.

M7
07

Abusing the backend through the client

Treating the app as a map to your APIs and attacking the server-side logic behind it.

M3 / M4
04

Three layers, one engagement

A mobile app is never just the app. We assess all three planes where it can be attacked — because a finding in any one of them is enough.

DEVICE

On the device

What the app stores and does locally

We examine how the app handles data at rest — local databases, key-value stores, caches, logs and the keychain/keystore — and how it protects itself against reverse engineering, tampering and a rooted or jailbroken environment.

TRANSIT

Over the wire

How data moves to your servers

We inspect the app's network behaviour: TLS configuration, certificate and public-key pinning, and whether traffic can be intercepted, downgraded, replayed or modified between the device and your backend.

BACKEND

At the backend

The APIs the app talks to

The app is a blueprint of your server-side attack surface. We test the APIs behind it for authentication, authorization, input validation and business-logic flaws — because once an attacker has the client, the backend is the prize.

05

A disciplined, attacker-led methodology

We follow a structured methodology aligned with the OWASP Mobile Application Security Testing Guide (MASTG) and the Penetration Testing Execution Standard (PTES), so coverage is repeatable and defensible while the exploitation itself stays creative and adversarial. Vulnerability analysis runs in parallel across static, dynamic, reverse-engineering and storage techniques before findings are exploited, escalated and reported.

01 INFORMATIONGATHERING 02 THREATMODELING 03 VULNERABILITYANALYSIS 04 EXPLOITATION 05 POST-EXPLOITATION REPORTING REPORTING RUNS ALONGSIDE Intelligence GatheringArchitecture UnderstandingClient & Server Side Scenarios File-System AnalysisPackage AnalysisReverse EngineeringDynamic AnalysisStatic Analysis 5 TECHNIQUES · RUN IN PARALLEL Preparing ReportsPresentationRemediation Testing 06
FIG. 01Methodology tree — vulnerability analysis fans into five parallel techniques; reporting runs alongside
PHASE 01 Information Gathering Map the app and its world: intelligence gathering on the published app, understanding its architecture, and modelling the client- and server-side scenarios that define the attack surface.
PHASE 02 Threat Modeling Reason like the adversary. Identify the assets on the device and in the backend worth attacking, and the most likely paths to them.
PHASE 03 Vulnerability Analysis A parallel battery of techniques: Static Analysis of code and configuration; Dynamic Analysis of the app while it runs; Reverse Engineering of the compiled binary; File-System Analysis of what it stores; and Package Analysis of the APK/IPA and its components.
PHASE 04 Exploitation Safely prove impact. Confirm each finding by demonstrating what an attacker could actually achieve on the device, on the network or against the backend.
PHASE 05 Post-Exploitation Measure how far a foothold reaches: escalation of access, lateral movement into backend systems, and the sensitive data ultimately exposed.
PHASE 06 Reporting Prepare clear, prioritized, reproducible reports, present them to your team, and re-test remediation to confirm the risk is genuinely closed.
06

Tools find the obvious. People find the dangerous.

Both have a role. We use them for what each does best — and we never let a scan, or a store review, stand in for an assessment.

Automated — breadth

Breadth, at speed

Automated analysis quickly decompiles the package, flags known weaknesses, surfaces exposed components and inventories the app's libraries and configuration. We treat its output as a starting point — every result is triaged by an analyst and false positives are eliminated before anything reaches your report.

Manual — depth

Depth, with judgment

The findings that matter most — broken authentication and access control, insecure storage, weak pinning, runtime tampering, and the business logic unique to your product — require a human who understands intent. Our researchers reverse-engineer, instrument the running app, defeat client-side defences and exploit the backend, surfacing the issues no automated tool is built to reason about.

07

Choose the depth of visibility

We tailor the engagement to how much we know going in. More context means deeper coverage in the same time.

Less context More context
Black-box

We test the app from the outside with no internal knowledge or credentials — exactly as an attacker who downloads it from the store would. Best for validating your real public exposure.

Grey-box
Most common model

We test with partial knowledge: valid accounts across user roles, an app walk-through, data-flow context and API documentation. This is the most common and cost-effective model, letting us reach authenticated, role-specific and backend flaws far more efficiently.

White-box

We test with full visibility — including architecture and, where in scope, source code — for the most thorough coverage of complex, high-value or heavily protected apps.

08

What we test against

Our coverage is benchmarked against the OWASP Mobile Application Security Verification Standard (MASVS) and exercised with the test cases in the OWASP Mobile Application Security Testing Guide (MASTG). Across an engagement we systematically probe the following control areas:

01 Data Storage & Privacy How sensitive data and PII are stored on the device — databases, shared preferences, caches, logs, screenshots and the keychain/keystore — and whether anything leaks where it shouldn't.
MASVS-STORAGEMASVS-PRIVACY
02 Cryptography Use of strong, current algorithms, correct key generation and storage, and protection against weak, custom or misused crypto.
MASVS-CRYPTO
03 Authentication & Authorization Login, session and token handling, biometric and step-up flows, and whether authorization is correctly enforced on the server rather than trusted to the client.
MASVS-AUTH
04 Network Communication TLS configuration, certificate and public-key pinning, and resistance to interception, downgrade, replay and tampering.
MASVS-NETWORK
05 Platform Interaction Exposed components, inter-process communication, deep links and URL schemes, WebViews, clipboard and permission handling.
MASVS-PLATFORM
06 Code Quality & Input Handling Server-side and client-side input/output validation, injection, and safe handling of untrusted data and third-party libraries.
MASVS-CODE
07 Resilience & Anti-Tampering Root/jailbreak detection, anti-debugging, integrity and obfuscation defences — and how readily a determined attacker defeats them.
MASVS-RESILIENCE
08 Backend & API Security Authentication, access control, business logic and input validation across the APIs the app depends on.
Server-side · exercised via the client
09

Every kind of app you ship

The same attacker mindset applies whether your app is fully native, web-wrapped, or somewhere in between.

01

Native applications

Built for a specific platform with full access to device capabilities and the best performance — and the largest local attack surface to test (Android Kotlin/Java, iOS Swift/Objective-C).

02

Hybrid applications

A native shell wrapping web content built with HTML, CSS and JavaScript — where WebView handling, the JavaScript bridge and bundled assets all need scrutiny.

03

Mobile web apps / PWAs

Browser-delivered experiences that behave like installed apps — assessed across both their web and mobile-specific exposure.

10

How an engagement works

A clear path from kickoff to remediation — designed to give your team findings they can act on immediately.

01
Build a model of the app, fast
We rapidly construct a working model of how the app operates — its components, data flows, permissions, endpoints and trust boundaries across device and backend — so testing is targeted from the first day.
02
Automated discovery for early signal
We decompile the package and run automated analysis to surface candidate weaknesses quickly — exposed components, hardcoded secrets, weak configuration — and prioritize where deeper, manual attention will pay off.
03
Validate every finding by hand
Each candidate issue is confirmed manually. We discard false positives and prove genuine findings through real, safe exploitation — on the device, on the network or against the backend.
04
Go deeper at runtime
We instrument the running app, defeat client-side defences where they exist, chain findings and probe role and trust boundaries — pursuing the escalation and backend access a real attacker would.
05
Surface the business-logic flaws
We test the logic itself: the abuse cases unique to your product — payments, transfers, entitlements, workflows — that no generic ruleset and no store review can anticipate, and which are often the most damaging.
11

What you receive

Every engagement ends in a report your team can act on — written for both the engineers who will fix the issues and the leaders who must understand the risk.

01

Executive summary

Risk posture and business impact in plain language for leadership.

02

Detailed findings

Each issue with severity, affected component, reproducible proof-of-concept and clear evidence — across device, network and backend.

03

Remediation guidance

Specific, prioritized, platform-aware fixes for Android and iOS — not generic advice.

04

Standards mapping

Findings mapped to OWASP MASVS control groups and the OWASP Mobile Top 10.

05

Remediation retest

We re-verify fixes so you can confirm the risk is genuinely closed.

06

Direct researcher access

A debrief with the people who did the testing, not a handoff to a call centre.

CERT-In Empaneled OWASP MASVS OWASP MASTG OWASP Mobile Top 10

Supports ISO 27001, SOC 2, PCI-DSS and RBI/SEBI assessment requirements

12

Beyond the app

A mobile app rarely stands alone. The same researchers assess what it connects to.

13

Frequently asked questions

How is this different from an app store review or a scan?

A store review checks policy and basic hygiene; a scanner produces a list of potential issues from known signatures. A penetration test confirms what is actually exploitable — it reverse-engineers the binary, instruments the app at runtime, intercepts its traffic and attacks the backend, finding the storage, crypto, authorization and business-logic flaws neither a review nor a scanner can reason about.

Do you need a rooted or jailbroken device?

For the deepest dynamic and runtime analysis we use rooted/jailbroken devices or emulators in a controlled environment. Where that isn't possible, we use repackaging and instrumentation techniques to achieve the same coverage on standard devices. Either way, your production users are never affected.

Do you need our source code?

No. We routinely test from the compiled APK/IPA in a black- or grey-box engagement. Providing source (white-box) or API documentation deepens coverage and lets us reach more in the same time — but it is never a prerequisite.

We already have certificate pinning and root detection. Isn't that enough?

Those are valuable defences, and we test exactly how well they hold. Pinning and detection routines can often be bypassed by a determined attacker; we assess whether yours genuinely raise the bar or merely appear to — and what an attacker reaches once they're past.

How often should we test?

At minimum annually, and after any significant change to the app, its authentication, its payment or data-handling logic, or its backend — as well as when compliance requires it. Frequently shipping apps benefit from a recurring cadence.

Do you retest after we fix the issues?

Yes. Remediation retesting is included so you can confirm each finding is genuinely resolved.

Offensive Security · Mobile Application VAPT

Find it before they do.

Tell us about your app — Android, iOS or both — and we'll scope an assessment that fits, or connect you directly with a researcher.