Strengthen backend trust boundaries at the design level.
Eresus helps teams find and close exploitable design issues across auth services, queue workers, background jobs, internal APIs, and microservice trust boundaries.
Vulnerabilities our researchers found and disclosed
Public advisories credited to the Eresus research team. The same people run your engagement.
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
Risk signals
Outcomes
Evidence standard
Proof you can inspect. Boundaries you can plan around.
Every engagement is bounded by written authorization, evidence handling, and a clear handoff. These are the defaults; the signed scope can tighten them.
Evidence you receive
- Written scope, authorization, and rules of engagement before testing starts.
- Reproducible evidence for each validated finding, with sensitive data redacted.
- Business impact, the affected boundary, and developer-ready remediation direction.
- Retest status for critical fixes; unresolved items remain visible.
Explicit exclusions
- Compliance certification or an audit opinion.
- Unscoped production denial-of-service, destructive actions, or data exfiltration.
- Full source review unless it is explicitly included in scope.
- A guarantee that no vulnerability remains after remediation.
Not scanner output. Offensive work that produces proof.
Scope and objective
We align assets, workflows, user roles, testing windows, and safe operating boundaries before execution starts.
Expert validation
Eresus analysts validate exploitability and business impact instead of forwarding automated scanner output.
Proof, fix, retest
Each finding ships with evidence, impact, remediation guidance, and retest steps so teams can close risk quickly.
The questions buyers want answered early.
How do you scope this engagement?+
What do we receive at the end?+
Do you help with remediation and retest?+
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.
Research and advisories that support this service motion.
The Silent Assassin of Modern APIs: BOLA / IDOR Vulnerabilities and Their Impact
Why does the undisputed leader of the OWASP API Top 10, Broken Object Level Authorization (BOLA/IDOR), constantly evade WAF and DAST scanners? Defending...
Structuring and Securing AI Microservices in Python (FastAPI)
Why must you transition from monolithic setups to a microservices architecture when exposing AI models to the public? Designing attack-resistant Python...
Why Should We Use Rust for AI-Powered Backend Systems?
When AI assistants are writing half your code, how do you ensure system security? Discover the superiority of the Rust language and its Memory Safety...
n8n-mcp Authenticated SSRF: CVE-2026-39974 (GHSA-4ggg-h7ph-26qr)
CVE-2026-39974 is an authenticated SSRF in n8n-mcp multi-tenant HTTP deployments. Review affected versions, the 2.47.4 fix, and layered mitigations.
Unauthenticated Remote Code Execution via Arbitrary Command Injection in MCPHub Server Registration
MCPHub accepts attacker-controlled command and args values during server registration and spawns them through STDIO, enabling full remote code execution on the host.
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.