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didericis-claude 451e6fc2fc feat(dlp): add 7 token patterns, Unicode normalization, CRLF injection detection (PRD 0053)
Token patterns: HuggingFace (hf_), Databricks (dapi), Slack (xox[baprs]-),
npm (npm_), SendGrid (SG.x.y), PyPI (pypi-), HashiCorp Vault (hvs.).

Unicode normalization (_normalize_text) applies NFKD + strips combining
marks and control chars before pattern matching, defeating fullwidth-char
and combining-mark evasion.

CRLF injection (scan_crlf_injection) detects %0d%0a in URLs and literal
\r\n header-injection patterns; runs unconditionally in scan_outbound
regardless of outbound_detectors config.
2026-06-07 23:19:11 -04:00

292 lines
10 KiB
Python

"""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
import unicodedata
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
# ---------------------------------------------------------------------------
# Snippet helpers
# ---------------------------------------------------------------------------
SNIPPET_CONTEXT = 40 # chars of surrounding text to include on each side
REDACT = "********" # fixed-width replacement for the matched sensitive value
def _snippet(text: str, start: int, end: int) -> str:
"""Return context around a match with the matched span replaced by REDACT."""
before = text[max(0, start - SNIPPET_CONTEXT):start].replace("\n", " ").replace("\r", " ")
after = text[end:end + SNIPPET_CONTEXT].replace("\n", " ").replace("\r", " ")
return f"{before}{REDACT}{after}"
# ---------------------------------------------------------------------------
# Unicode normalization (defeats confusable-char and combining-mark evasion)
# ---------------------------------------------------------------------------
def _normalize_text(text: str) -> str:
# NFKD separates base characters from combining marks and resolves
# compatibility equivalents (fullwidth ASCII, ligatures, etc.)
decomposed = unicodedata.normalize("NFKD", text)
return "".join(
ch for ch in decomposed
# Strip combining marks inserted between chars to break patterns
if unicodedata.category(ch) != "Mn"
# Strip control chars; keep common whitespace (\n \r \t)
and (unicodedata.category(ch) != "Cc" or ch in "\n\r\t")
)
# ---------------------------------------------------------------------------
# Token patterns detector
# ---------------------------------------------------------------------------
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,}")),
("HuggingFace token", re.compile(r"hf_[A-Za-z0-9]{34,}")),
("Databricks token", re.compile(r"dapi[A-Za-z0-9]{32}")),
("Slack token", re.compile(r"xox[baprs]-[A-Za-z0-9]+-[A-Za-z0-9]+-[A-Za-z0-9]{24,}")),
("npm token", re.compile(r"npm_[A-Za-z0-9]{36}")),
("SendGrid API key", re.compile(r"SG\.[A-Za-z0-9_\-]{22}\.[A-Za-z0-9_\-]{43}")),
("PyPI token", re.compile(r"pypi-[A-Za-z0-9_\-]{80,}")),
("HashiCorp Vault token", re.compile(r"hvs\.[A-Za-z0-9_\-]{24,}")),
)
def scan_token_patterns(text: str, *, location: str = "body") -> ScanResult | None:
normalized = _normalize_text(text)
for name, pattern in TOKEN_PATTERNS:
m = pattern.search(normalized)
if m is not None:
return ScanResult(
severity="block",
reason=f"{name} found in {location}",
location=location,
context=_snippet(text, m.start(), m.end()),
)
return None
def redact_tokens(
text: str,
*,
env: typing.Mapping[str, str] | None = None,
) -> str:
"""Replace token pattern matches and (if env given) provisioned secrets with REDACT."""
for _, pattern in TOKEN_PATTERNS:
text = pattern.sub(REDACT, text)
if env is not None:
for key, value in env.items():
if key.startswith("EGRESS_TOKEN_") and value:
for variant in _encoded_variants(value):
text = text.replace(variant, REDACT)
return text
# ---------------------------------------------------------------------------
# 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,
*,
location: str = "body",
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):
pos = text.find(variant)
if pos >= 0:
return ScanResult(
severity="block",
reason=f"provisioned secret from {key} found in {location}",
location=location,
context=_snippet(text, pos, pos + len(variant)),
)
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 _closest_pair(
a_matches: list[re.Match[str]],
b_matches: list[re.Match[str]],
) -> tuple[re.Match[str], re.Match[str]] | None:
"""Return the pair (a, b) with the smallest character gap, or None."""
best: tuple[re.Match[str], re.Match[str]] | None = None
best_gap: int | None = 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_gap is None or gap < best_gap:
best_gap = gap
best = (a, b)
return best
def scan_naive_injection(text: str) -> ScanResult | None:
location = "response body"
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:
pair = _closest_pair(disclosure_hits, jailbreak_hits)
if pair is not None:
dist = max(0, max(pair[0].start(), pair[1].start()) - min(pair[0].end(), pair[1].end()))
if dist <= PROXIMITY_CHARS:
first = pair[0] if pair[0].start() <= pair[1].start() else pair[1]
return ScanResult(
severity="block",
reason=(
f"disclosure and jailbreak phrases within "
f"{dist} chars in {location}"
),
location=location,
context=_snippet(text, first.start(), first.end()),
)
if disclosure_hits:
m = disclosure_hits[0]
return ScanResult(
severity="warn",
reason=f"prompt disclosure phrase detected in {location}",
location=location,
context=_snippet(text, m.start(), m.end()),
)
if jailbreak_hits:
m = jailbreak_hits[0]
return ScanResult(
severity="warn",
reason=f"jailbreak phrase detected in {location}",
location=location,
context=_snippet(text, m.start(), m.end()),
)
return None
# ---------------------------------------------------------------------------
# CRLF injection detector
# ---------------------------------------------------------------------------
# URL-encoded CRLF is never legitimate in a request URL or header value.
_CRLF_ENCODED_RE = re.compile(r"%0[dD]%0[aA]", re.ASCII)
# Literal CRLF followed by a header-name pattern indicates header injection.
_CRLF_HEADER_INJECT_RE = re.compile(r"\r\n[A-Za-z][A-Za-z0-9\-]+\s*:", re.ASCII)
def scan_crlf_injection(text: str) -> ScanResult | None:
if _CRLF_ENCODED_RE.search(text):
return ScanResult(
severity="block",
reason="URL-encoded CRLF (%0d%0a) in outbound request",
)
if _CRLF_HEADER_INJECT_RE.search(text):
return ScanResult(
severity="block",
reason="CRLF header injection pattern in outbound request",
)
return None
__all__ = [
"REDACT",
"SNIPPET_CONTEXT",
"TOKEN_PATTERNS",
"redact_tokens",
"scan_crlf_injection",
"scan_known_secrets",
"scan_naive_injection",
"scan_token_patterns",
]