EresusSecurity
Mobile Security

Test the mobile app, API, and device trust boundary together.

Eresus reviews iOS, Android, and mobile backend flows across token handling, data storage, transport, jailbreak/root bypass, API authorization, and reverse engineering risk.

Best fit

This engagement creates value fastest for teams like these.

Security and engineering leadership

Teams that need exploit-backed proof before they reprioritize application, API, cloud, or identity work.

Product teams with customer-facing risk

Organizations shipping auth-heavy, multi-tenant, regulated, or internet-exposed systems where logic and authorization flaws matter.

Buyers who need proof, not alert volume

Programs that want reproducible findings, remediation direction, and a closure path instead of scanner noise.

Scope

iOS and Android client analysis
Mobile API and auth flows
Token, secret, and storage controls
Root/jailbreak and reverse engineering controls

Risk signals

Hardcoded secret and token leakage
API authorization bypass
Weak TLS and pinning model
Client-side business logic abuse

Outcomes

Mobile finding evidence
API replay and abuse scenarios
Remediation checklist
Retest-ready validation steps
Engagement model

Not scanner output. Offensive work that produces proof.

01

Scope and objective

We align assets, workflows, user roles, testing windows, and safe operating boundaries before execution starts.

02

Expert validation

Eresus analysts validate exploitability and business impact instead of forwarding automated scanner output.

03

Proof, fix, retest

Each finding ships with evidence, impact, remediation guidance, and retest steps so teams can close risk quickly.

FAQ

The questions buyers want answered early.

How do you scope this engagement?+
We start from assets, business workflows, authorization boundaries, and the attack paths that could create material risk. Scope is shaped around exploitability, not checklist volume.
What do we receive at the end?+
You receive proof-backed findings, business impact framing, developer-ready remediation guidance, and a retest path for closure.
Do you help with remediation and retest?+
Yes. We work through remediation direction and validate critical fixes so the team can close risk without guesswork.

We tie risk to business impact.

Findings do not stop at severity labels. We explain which customer workflow, data class, or operational objective is affected.

Deliverables work for engineers and executives.

Engineering teams get reproducible proof and remediation direction; leadership gets the risk narrative, priority, and closure status.

Next step

Let’s scope this work against the surface that matters most.

Whether this starts as a pilot, a single application, a critical API, an AI agent flow, or a wider program, we start from the highest-impact surface.