ast-interceptor-gate1 – AI Model by sreejanjalagam | AlphaNeural AI

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sreejanjalagam/
ast-interceptor-gate1

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AST Interceptor — Gate 1: Supply Chain Watchdog

Mission: Blocks malicious AI commits before they ever reach version control.

Core Actions

scan_python_code — AST walk for eval/exec/credentials/packages
scan_javascript_code — Babel parser with regex fallback
auto_strip_credential — Detect hardcoded secrets
quarantine_eval — Block eval() / exec()
block_unverified_package — Reject non-allowlist imports

Demo Beat 4

Malicious code (MD5 + eval() + hardcoded key) submitted. Gate 1 fires:

BLOCKED — credential_detected line 4, eval_usage quarantined line 8
Reward: +200 | 1.5× multiplier ACTIVE | Pipeline Integrity: 1.0

Reward Breakdown

Event	Reward
Catch at Gate 1	+100
Credential detected	+50
Eval quarantined	+50
1.5× multiplier active	+150
False positive block	−30
Missed + caught later	+20

Failure Modes Guarded

Allowlist too strict → curated safe-list prevents false positives
Eval() in string literals → AST distinguishes Call nodes from strings
Babel timeout → graceful regex fallback

Usage

python

from AST_Interceptor import Gate1Interceptor
interceptor = Gate1Interceptor()
result = interceptor.scan(code, language="python")

Files

AST_Interceptor.py — Core scanner module (500+ lines)
AST_Interceptor_test.py — Test suite (10/10 tests)
gate1_ast_interceptor.py — Alternate name (identical)
test_gate1.py — Alternate name (identical)