Redbot performs expert-led mobile application penetration testing focused on how attackers exploit insecure mobile logic, authentication flows, local storage, APIs, trust boundaries, device interaction, and backend integration across modern iOS and Android environments.
Modern mobile applications operate across distributed architectures involving mobile devices, backend APIs, authentication systems, local storage, third-party SDKs, push services, cloud infrastructure, and interconnected workflows. Redbot Security performs manual mobile penetration testing focused on how attackers exploit trust assumptions, expose sensitive data, manipulate application logic, and compromise mobile environments across iOS and Android platforms.
Mobile testing methodology is supported by eMAPT, OSCP+, PenTest+, eJPT, and offensive security operations experience focused on realistic mobile attack paths, reverse engineering, API abuse, insecure storage, and mobile application exploitation.
Assess authentication workflows, token handling, API authorization, biometric implementations, certificate pinning, OAuth flows, session management, and backend trust relationships across interconnected mobile ecosystems.
Evaluate jailbreak/root detection, local storage exposure, WebView security, deep links, mobile workflow abuse, insecure SDK integrations, runtime protections, and operational weaknesses aligned to modern OWASP MASVS and MASTG testing methodology.
Modern mobile applications rely on distributed trust across mobile devices, authentication systems, local application storage, backend APIs, cloud services, third-party SDKs, push infrastructure, and interconnected workflows. Redbot evaluates how attackers chain these environments together to bypass controls, manipulate application behavior, expose sensitive data, and compromise mobile functionality across iOS and Android ecosystems.
Assess insecure authentication workflows, token exposure, session handling weaknesses, biometric implementation flaws, OAuth trust abuse, account recovery bypass opportunities, and authorization failures across mobile environments and backend systems.
Identify insecure mobile API exposure, object-level authorization weaknesses, backend trust assumptions, insecure direct object references, chained request abuse, excessive permissions, and exploitable application-to-service trust relationships.
Evaluate insecure Keychain and Keystore usage, cached credentials, local databases, token persistence, runtime memory exposure, jailbreak/root detection weaknesses, certificate pinning bypass opportunities, and sensitive mobile data leakage.
Validate how attackers manipulate mobile workflows, reverse engineer application behavior, abuse deep links and WebViews, bypass runtime protections, exploit insecure SDK integrations, and compromise mobile application trust boundaries aligned to OWASP MASVS and MASTG testing methodology.
Redbot performs structured mobile application penetration testing designed to evaluate how attackers interact with mobile clients, backend APIs, authentication workflows, local device storage, runtime protections, application logic, and interconnected infrastructure across modern iOS and Android ecosystems.
Identify mobile application components, APIs, authentication systems, local storage behavior, deep links, WebViews, third-party SDKs, cloud integrations, and device trust assumptions across distributed mobile ecosystems.
Assess authentication workflows, biometric implementations, OAuth flows, token handling, session persistence, authorization enforcement, API exposure, object-level access controls, and backend trust relationships.
Evaluate runtime protections, jailbreak/root detection, certificate pinning, local application storage, runtime instrumentation exposure, insecure persistence, and reverse engineering resilience using methodologies aligned to OWASP MASVS and MASTG.
Validate exploitability through dynamic analysis, mobile workflow abuse, chained API attacks, insecure application logic, runtime manipulation, and operational attack path testing designed to replicate realistic adversarial behavior.
Modern attackers increasingly target the relationships between mobile applications, authentication systems, APIs, cloud services, local device functionality, runtime protections, third-party SDKs, and backend infrastructure to escalate privileges, expose sensitive data, manipulate workflows, and bypass application security controls across iOS and Android ecosystems.
Assess exposure to runtime instrumentation, reverse engineering, client-side manipulation, insecure obfuscation, dynamic code modification, anti-tampering bypass opportunities, and application integrity weaknesses impacting mobile security controls.
Validate how attackers chain mobile client weaknesses with backend APIs, OAuth trust abuse, authorization failures, insecure direct object references, token manipulation, and exposed business logic to compromise applications and user data.
Evaluate jailbreak/root detection, emulator protections, certificate pinning, device attestation, secure communication controls, biometric trust assumptions, and platform security boundaries across modern mobile operating systems.
Identify insecure Keychain and Keystore usage, exposed credentials, unsafe persistence, application logging risks, clipboard leakage, cached sensitive data, screenshot exposure, and operational information disclosure across mobile workflows.
Redbot Security performs manual mobile application penetration testing across iOS and Android environments focused on runtime protections, authentication systems, local storage exposure, API abuse, reverse engineering resilience, backend trust relationships, and operational attack paths aligned to modern OWASP MASVS and MASTG methodology.
Frida • Objection • MobSF • Burp Suite Pro • jadx • Ghidra • mitmproxy • Hopper
OWASP MASVS • OWASP MASTG • PTES • NIST SP 800-115 • MITRE ATT&CK Mobile
Static Analysis • Dynamic Analysis • Runtime Instrumentation • Reverse Engineering
Organizations increasingly rely on mobile applications to support authentication, healthcare workflows, financial transactions, customer platforms, operational systems, and cloud-connected services. Redbot helps organizations validate how attackers may abuse mobile trust relationships, APIs, device functionality, and application logic before those weaknesses create operational risk.
Validate mobile application security before App Store or Google Play deployment, major feature rollouts, authentication changes, payment integrations, or backend infrastructure updates introduce exploitable exposure.
Mobile applications processing healthcare information, financial records, authentication credentials, regulated data, or operational business information require validation across local storage, APIs, session handling, and mobile trust boundaries.
Applications supporting MFA, SSO, biometric authentication, OAuth workflows, passwordless login systems, or enterprise identity integrations require deeper validation around token trust, replay exposure, and session manipulation risk.
Mobile platforms operating within PCI-DSS, HIPAA, SOC 2, GDPR, ISO 27001, or regulated operational environments often require advanced security testing to validate mobile application exposure and compliance readiness.
Modern mobile ecosystems increasingly depend on APIs, cloud infrastructure, backend orchestration, push services, third-party SDKs, and distributed authentication systems that introduce complex chained attack paths.
Security assessments provide independent validation for investors, enterprise customers, procurement requirements, cyber insurance reviews, security programs, and organizations seeking operational assurance around mobile application security.
Redbot Security performs senior-led manual testing focused on realistic exploit paths, mobile trust boundaries, runtime protections, authentication systems, backend exposure, and operational application risk across modern iOS and Android ecosystems.
