"""DLP detectors for the egress proxy (PRD 0053). Pure Python, no mitmproxy dependency. Each detector is a module-level function returning `ScanResult | None`. Ships flat into the sidecar bundle image alongside `egress_addon_core.py` — both this file and the package source use the same try/except import shim pattern. """ from __future__ import annotations import base64 import gzip import re import typing from urllib.parse import quote as url_quote try: from egress_addon_core import ScanResult # type: ignore[import-not-found] except ImportError: # pragma: no cover - host-side path from .egress_addon_core import ScanResult # --------------------------------------------------------------------------- # Token patterns detector (Phase 1a) # --------------------------------------------------------------------------- TOKEN_PATTERNS: tuple[tuple[str, re.Pattern[str]], ...] = ( ("AWS access key", re.compile(r"AKIA[0-9A-Z]{16}")), ("GitHub token (classic)", re.compile(r"ghp_[A-Za-z0-9_]{36}")), ("GitHub fine-grained token", re.compile(r"github_pat_[A-Za-z0-9_]{82}")), ("Anthropic API key", re.compile(r"sk-ant-[A-Za-z0-9\-_]{93}")), ("OpenAI API key", re.compile(r"sk-[A-Za-z0-9]{48}")), ("OpenAI project API key", re.compile(r"sk-proj-[A-Za-z0-9_\-]{48,}")), ("Stripe live key", re.compile(r"sk_live_[A-Za-z0-9]{24}")), ("Generic Bearer JWT", re.compile(r"Bearer\s+[A-Za-z0-9._\-]{50,}")), ) def scan_token_patterns(text: str) -> ScanResult | None: for name, pattern in TOKEN_PATTERNS: if pattern.search(text): return ScanResult( severity="block", reason=f"outbound request contains {name}", ) return None # --------------------------------------------------------------------------- # Known secrets detector (Phase 1b) # --------------------------------------------------------------------------- def _encoded_variants(secret: str) -> list[str]: """Return the secret plus common encoded variants for exfil detection.""" seen: set[str] = {secret} variants: list[str] = [secret] def _add(v: str) -> None: if v not in seen: seen.add(v) variants.append(v) secret_bytes = secret.encode("utf-8") # Standard base64 — with and without padding b64 = base64.b64encode(secret_bytes).decode("ascii") _add(b64) _add(b64.rstrip("=")) # URL-safe base64 (JWT/OAuth use -_ alphabet) — with and without padding b64url = base64.urlsafe_b64encode(secret_bytes).decode("ascii") _add(b64url) _add(b64url.rstrip("=")) # URL percent-encoding _add(url_quote(secret, safe="")) # Hex — lowercase and uppercase _add(secret_bytes.hex()) _add(secret_bytes.hex().upper()) # Base32 (TOTP seeds, some DNS-exfil channels) _add(base64.b32encode(secret_bytes).decode("ascii")) # gzip + base64 (deterministic: mtime=0); recognisable by H4sI prefix _add(base64.b64encode(gzip.compress(secret_bytes, mtime=0)).decode("ascii")) return variants def scan_known_secrets( text: str, *, env: typing.Mapping[str, str] | None = None, ) -> ScanResult | None: if env is None: return None for key, value in env.items(): if not key.startswith("EGRESS_TOKEN_") or not value: continue for variant in _encoded_variants(value): if variant in text: return ScanResult( severity="block", reason=( f"outbound request contains provisioned secret " f"from {key}" ), ) return None # --------------------------------------------------------------------------- # Naive prompt injection detector (Phase 2) # --------------------------------------------------------------------------- DISCLOSURE_PHRASES: tuple[re.Pattern[str], ...] = ( re.compile(r"(?i)system\s+prompt"), re.compile(r"(?i)my\s+instructions\s+are"), re.compile(r"(?i)original\s+instructions"), re.compile(r"(?i)secret\s+instructions"), re.compile(r"(?i)hidden\s+rules"), ) JAILBREAK_PHRASES: tuple[re.Pattern[str], ...] = ( re.compile(r"(?i)ignore\s+previous"), re.compile(r"(?i)forget\s+everything"), re.compile(r"(?i)disregard\s+(?:all\s+)?(?:previous|prior)"), re.compile(r"(?i)pretend\s+you\s+are"), re.compile(r"(?i)act\s+as\s+(?:if|though)"), ) PROXIMITY_CHARS = 500 def _min_distance( a_matches: list[re.Match[str]], b_matches: list[re.Match[str]], ) -> int | None: """Smallest char distance between any pair of matches.""" if not a_matches or not b_matches: return None best = None for a in a_matches: for b in b_matches: gap = max(0, max(a.start(), b.start()) - min(a.end(), b.end())) if best is None or gap < best: best = gap return best def scan_naive_injection(text: str) -> ScanResult | None: disclosure_hits = [m for p in DISCLOSURE_PHRASES for m in p.finditer(text)] jailbreak_hits = [m for p in JAILBREAK_PHRASES for m in p.finditer(text)] if disclosure_hits and jailbreak_hits: dist = _min_distance(disclosure_hits, jailbreak_hits) if dist is not None and dist <= PROXIMITY_CHARS: return ScanResult( severity="block", reason=( f"disclosure and jailbreak phrases within " f"{dist} chars in response" ), ) if disclosure_hits: return ScanResult( severity="warn", reason="prompt disclosure phrase detected in response", ) if jailbreak_hits: return ScanResult( severity="warn", reason="jailbreak phrase detected in response", ) return None __all__ = [ "TOKEN_PATTERNS", "scan_known_secrets", "scan_naive_injection", "scan_token_patterns", ]