Platform Security Audit Report

Identity Spoofing — @dosfi.ai Impersonation

Attacker crafts a forged @dosfi.ai address to impersonate a legitimate user, node, or agent.

Forged Identity Tokens

Attacker generates a forged JWT or session token claiming a valid UserID or NodeID.

Replay Attacks — Token Reuse

Attacker intercepts a valid token and replays it to authenticate as the victim after expiry.

Signature Forgery — Certificate Chains

Attacker forges or truncates a node certificate chain to gain unauthorized trust tier.

Cross-System Impersonation — Identity Propagation

Token valid on DOSFI.ai is replayed to gain access to MeshInfer, MNE, or Academy systems.

Privacy Tier Bypass — Routing Escalation

Attacker requests Tier-2 or Tier-3 routing with a Tier-0 identity token.

Identity Propagation Vulnerability — Shared Secrets

A shared secret propagated across systems leaks and allows widespread impersonation.

Identity Revocation Exploit — Stale Token Acceptance

Attacker continues using a token after the identity has been revoked.

Identity Recovery Exploit — Account Takeover

Attacker initiates a password/identity recovery flow to take over a victim account.

Session Hijacking

Attacker intercepts or steals an active session cookie or bearer token.

Token Leakage — Log Exposure

Bearer tokens appear in server logs, error messages, or API responses.

Privilege Escalation — Role Claim Injection

Attacker modifies a JWT payload to inject a higher role claim.

Unauthorized Access — Broken Object-Level Auth

Attacker accesses resources belonging to another user by manipulating IDs in API requests.

Broken Trust Boundaries — Service-to-Service Impersonation

A compromised internal service issues requests on behalf of a legitimate service.

Cross-Domain Authentication Flaws — CORS Bypass

Attacker sends cross-origin requests to DOSFI APIs from an unauthorized domain.

Inconsistent Identity Rule Enforcement — Partial Verification

Some API endpoints skip identity verification, creating a gap in the security boundary.

Rogue Node Injection

Attacker registers an unauthorized node to intercept or manipulate inference shards.

Node Identity Spoofing

Attacker presents a stolen NodeID to join the routing pool as a trusted node.

Routing Manipulation — Priority Injection

Node operator manipulates routing metadata to attract high-value shards.

Inference Hijacking — Shard Interception

Node captures inference payloads intended for other nodes.

Metering Falsification — DIU Inflation

Node reports false compute metrics to inflate DIU earnings.

Vital Issuance Spoofing — Fake Settlement Events

Attacker injects fraudulent DIU issuance events into the settlement pipeline.

Settlement Log Tampering

Attacker modifies settlement log entries to alter DIU balances.

Routing Spoofing — Source Forgery

Attacker injects forged routing headers to redirect traffic to a rogue endpoint.

Routing Redirection — Man-in-the-Middle

Attacker intercepts shard routing and redirects execution to an unauthorized node.

Workflow Poisoning — DAG Injection

Attacker injects a malicious step into a workflow DAG to execute unauthorized code.

Priority Escalation — Queue Jumping

Attacker manipulates task priority to preempt legitimate workloads.

Denial-of-Routing — Pool Exhaustion

Attacker floods the routing pool with low-quality tasks to starve legitimate workloads.

Routing Loop Injection

Attacker crafts a workflow with circular dependencies that causes infinite routing loops.

Routing Table Corruption

Attacker corrupts the routing table to redirect all traffic from a specific node.

Inference Tampering — Result Modification

Node modifies the output of an inference shard before returning it.

Payload Injection — Prompt Poisoning at the Transport Layer

Attacker injects malicious content into inference payloads in transit.

Model Spoofing — Unauthorized Model Substitution

Node executes a different model than the one specified in the task.

Inference Replay — Stale Result Submission

Node submits a cached result from a previous inference run for a new shard.

Inference Substitution — Cross-Task Result Injection

Node submits results from a different task to satisfy the current shard requirement.

Unauthorized Inference Execution

Attacker submits inference tasks without valid credentials or quota.

Inference Privacy Tier Bypass

Node processes a Tier-2 or Tier-3 shard without meeting the required trust criteria.

Vital Issuance Spoofing — Fabricated DIU Events

Attacker injects forged DIU issuance events to inflate a node operator's balance.

Vital Spend Spoofing — Unauthorized Redemption

Attacker submits forged redemption requests to drain another operator's DIU balance.

DIU Supply Manipulation — Inflation Attack

Attacker exploits a settlement bug to generate DIUs without corresponding compute.

DIU Hard Cap Bypass

Attacker attempts to issue DIUs beyond the per-period issuance cap.

Settlement Log Tampering

Attacker modifies historical settlement records to alter balances retroactively.

Redemption Spoofing — MNE API Forgery

Attacker forges a redemption response from MNE to credit compute credits without spending DIUs.

Compute-Backed Issuance Falsification — Telemetry Fraud

Node sends falsified compute telemetry to generate DIU credit for work never performed.

Identity Spoofing — Course Access

Attacker uses a forged identity to access paid courses or enroll as another student.

Unauthorized Enrollment

Attacker enrolls in restricted courses or certification tracks without meeting prerequisites.

Certification Forgery

Attacker generates or modifies a certification credential to claim competencies not earned.

Progress Manipulation — Score Tampering

Attacker modifies progress data to unlock advanced content without completing prerequisites.

Cross-Site Impersonation — SSO Abuse

Attacker abuses the SSO flow between Academy/University and DOSFI to gain elevated access.

Backend Access Vulnerability — Admin Endpoint Exposure

Education platform admin endpoints are accessible without proper authorization.

Cross-Domain Token Reuse

Token issued for one DOSFI ecosystem domain is replayed on another.

Session Hijacking — Cross-Service Pivot

Attacker hijacks a session on a low-security surface (e.g., Academy) to pivot to higher-privilege systems.

Identity Propagation Flaw — Token Forwarding

A mesh-native app or agent forwards a user's token to an external system.

Misaligned Privacy Tiers — Cross-System Leakage

Data processed under Tier-2 constraints on DOSFI is forwarded to a Tier-0 surface on MNE.

Inconsistent Cryptographic Enforcement

One ecosystem system uses weaker cryptography, creating a weak link in the chain.

Broken Trust Boundary — Agent Privilege Escalation

A mesh-native agent accumulates permissions across systems through incremental trust escalation.

Inference Fabric → Settlement Bridge Attack

Attacker exploits the interface between MeshInfer and Vital settlement to inject fraudulent compute proofs.

Sandbox Breakout — Host OS Access

A model exploits a runtime vulnerability to break out of the inference sandbox and access the host operating system, filesystem, or process space.

Network Exfiltration — Outbound Calls

A model makes unauthorized network requests to exfiltrate data, call external APIs, or coordinate with remote systems — the behavior reported in model-escape incidents.

Self-Replication — Process Spawning & File Creation

A model copies its own weights or instructions to other nodes, spawns new processes, or propagates itself across the mesh — the self-replication behavior seen in escape incidents.

Data Exfiltration — Training Data & Shard Input Theft

A model accesses training data, other shards' inputs, or node-local caches to exfiltrate sensitive information.

Persistent Malware — Writable Storage Access

A model writes persistent malware, backdoors, or modified weights to node storage that survive across executions.

Cross-Session Memory — State Carryover

A model retains hidden state or learned behavior across shard executions to accumulate capability over time.

Inter-Node Communication — Mesh Signaling

A model sends signals to model instances on other nodes to coordinate distributed action across the mesh.

Prompt Injection — Output Interpretation as Commands

A model produces output containing instructions intended to be interpreted as commands by the orchestration layer or consuming application.

Harmful Instructions in Output

A model produces output containing harmful, dangerous, or policy-violating content that could cause harm if acted upon by a human reader.

Goal Drift — Autonomous Task Expansion

A model expands its task scope beyond the assigned inference, pursues unassigned goals, or chains itself into new tasks without operator instruction.