Skip to content

DanielDeshmukh/aether

Repository files navigation

AETHER Banner


CI Tests Stars NVIDIA NIM License Next.js TypeScript


AETHER doesn't just scan. It thinks, plans, executes, and validates exploits against live targets using AI-powered reasoning, then generates production-ready remediation patches.


What It Does

AETHER is a Security-as-a-Service platform that autonomously discovers, validates, and remediates web application vulnerabilities. It replaces static rule-based scanners with an agentic reasoning loop that mimics how a senior penetration tester approaches a target.

Target URL  -->  Recon  -->  AI Planning  -->  Exploit Execution  -->  Validation  -->  Remediation
                  |              |                    |                    |                |
            Tech stack    Nemotron 3 Super     OWASP Top 10         Confirms        Generates
            fingerprint   generates attack    attack lanes with     breach with     copy-paste
            + passive     plan with THOUGHT   Playwright-backed     evidence        security
            recon         / OBSERVE / PLAN    active testing        + screenshots   patches

Tech Stack

Layer Technology
Frontend Next.js 16, React 19, TypeScript, Tailwind CSS
Backend Next.js API Routes, TypeScript
Database PostgreSQL 17, Prisma ORM
Auth Custom JWT with magic link authentication
AI Orchestration NVIDIA NIM (Nemotron 3 Super, Llama 3.3 Nemotron, DeepSeek V4 Flash)
Browser Automation Playwright with headless Chromium

Core Capabilities

Autonomous Exploit Execution

AETHER executes all 10 OWASP Top 10 categories autonomously once consent is verified:

Category What AETHER Tests
A01: Broken Access Control Privilege escalation, IDOR, CORS misconfig
A02: Cryptographic Failures Weak TLS, mixed content, certificate validation
A03: Injection SQL injection, XSS, command injection
A04: Insecure Design Business logic flaws, missing rate limiting
A05: Security Misconfiguration Default creds, verbose errors, debug endpoints
A06: Vulnerable Components Outdated libraries, known CVEs
A07: Auth Failures Session management, brute force, token weaknesses
A08: Data Integrity Insecure deserialization, supply chain
A09: Logging Failures Insufficient logging, missing audit trails
A10: SSRF Server-side request forgery, internal network probing

AI-Powered Reasoning

Model Role Why
Nemotron 3 Super 120B Scan planning + final verdicts 1M context window, reasoning with transparent thought chains
Llama 3.3 Nemotron Super 49B Remediation code generation 91.3% MBPP score, optimized for security patch generation
Nemotron 3 Nano 30B Content safety filtering Sub-second response for real-time safety gating
DeepSeek V4 Flash Fast fallback analysis 284B MoE, ~120 tok/s for high-throughput scenarios

Safety Architecture

Control Implementation
Mandatory Consent Scans require explicit ownership verification before execution
SSRF Protection Private IPs, loopback, and internal networks are blocked
Rate Limiting Per-IP rate limits on scan creation and API endpoints
Quota Enforcement Per-user scan quotas with tier-based limits
Token Rotation Refresh tokens rotated on every use; all tokens include revocable JTIs

License

This project is proprietary software. All rights reserved by the author.


Built with precision. Deployed with confidence.

Report Issues

About

AETHER simulates human-like decision-making to identify vulnerabilities, generate targeted exploits, and provide actionable remediation within a scalable SaaS architecture.

Topics

Resources

Stars

4 stars

Watchers

0 watching

Forks

Releases

No releases published

Packages

 
 
 

Contributors

Languages