docs: draft PRD prd-new for strengthen-outbound-exfil-detection
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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# PRD prd-new: Strengthen outbound exfiltration detection
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- **Status:** Draft
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- **Author:** claude
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- **Created:** 2026-06-25
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- **Issue:** #259
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## Summary
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The current DLP system has two detection tiers: weak (vendor token regexes)
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and strong (exact matching of provisioned `EGRESS_TOKEN_*` values in multiple
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encodings). This PRD adds four complementary hardening layers in ranked order
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of impact:
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1. **Canary tokens** — inject a per-session fake secret into the agent's
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environment; any outbound appearance is a zero-false-positive exfil signal.
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2. **Broadened known-value scanning** — extend the strong tier beyond
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`EGRESS_TOKEN_*` via a `BOT_BOTTLE_SENSITIVE_PREFIXES` sidecar env var.
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3. **Fragmentation-resistant matching** — catch separator injection and
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long-substring leaks via alnum projection and sliding-window substring
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search.
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4. **Entropy scoring** — warn-only flag on high-entropy blobs as a
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complementary signal for encrypted exfil.
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## Problem
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After PRD 0056 the outbound scan covers all HTTP request surfaces (host, path,
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query, headers, body). But the content-based strong tier only matches
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`EGRESS_TOKEN_*` values and their encodings. Three gaps remain:
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| Gap | How an agent exploits it |
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|-----|--------------------------|
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| No canary | There is no "can't be false-positive" signal |
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| Narrow prefix filter | Sensitive values provisioned under other env prefixes (MCP keys, API keys injected via the agent provider) are invisible to `scan_known_secrets` |
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| Fragmentation blindness | Inserting `-`, space, or `\n` between secret characters turns an exact-match into a miss |
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## Goals / Success Criteria
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1. Each launched bottle has a unique canary token in the agent's environment
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(`BOT_BOTTLE_CANARY`) and the egress sidecar's environment
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(`EGRESS_TOKEN_CANARY`). Any outbound appearance of the canary blocks the
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request with reason `"canary token"`.
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2. `scan_known_secrets` accepts a `sensitive_prefixes` parameter (default:
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`("EGRESS_TOKEN_",)`). `scan_outbound` reads
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`BOT_BOTTLE_SENSITIVE_PREFIXES` from `environ` and merges those prefixes
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in, so operators can mark additional env vars as scanned values without
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changing the manifest schema.
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3. For every secret that passes exact-match, a secondary alnum-projection pass
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checks for the secret with all non-alphanumeric characters stripped. This
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catches separator-injection evasion (`MY-SECRET` → body contains
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`MY SECRET`).
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4. A sliding-window partial-match pass checks for long-enough contiguous
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substrings of the secret's alnum projection in the text's alnum projection.
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Any match ≥ `PARTIAL_MATCH_MIN_LEN` (12 chars) blocks with reason
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`"partial match"`.
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5. A new `scan_entropy` detector flags outbound text windows with Shannon
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entropy ≥ `ENTROPY_BLOCK_THRESHOLD` (5.5 bits/char) at **warn** severity
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only. It is registered under the new detector name `"entropy"` in
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`OUTBOUND_DETECTOR_NAMES` and disabled by default (routes must opt in).
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6. Binary request bodies are decoded via `latin-1` instead of
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`utf-8 errors="replace"`, preserving every byte value and allowing
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ASCII-range secrets to be found within binary payloads.
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7. All new behaviour is unit-tested; existing tests pass unchanged.
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## Non-goals
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- Rolling per-host buffer for split-across-requests detection (state in the
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stateless addon is complex; deferred).
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- Additional vendor regexes.
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- ML / embedding-based detection.
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- Entropy-based hard blocks (warn only per the issue).
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## Design
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### Canary token flow
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```
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Egress.prepare()
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canary = secrets.token_urlsafe(32)
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EgressPlan(canary=canary, ...)
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Docker compose render:
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sidecar env: EGRESS_TOKEN_CANARY=<canary> ← scanned by existing known-secrets detector
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agent env: BOT_BOTTLE_CANARY=<canary> ← visible to agent as a "secret"
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macos-container launch: same literals added to sidecar + agent env entries
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```
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`EGRESS_TOKEN_CANARY` matches the `EGRESS_TOKEN_` prefix already scanned by
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`scan_known_secrets`, so no detector code changes are required for canary
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detection — only the injection path.
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### Broadened known-value scanning
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`scan_known_secrets` gains a `sensitive_prefixes` parameter:
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```python
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def scan_known_secrets(
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text: str,
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*,
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location: str = "body",
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env: Mapping[str, str] | None = None,
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sensitive_prefixes: tuple[str, ...] = ("EGRESS_TOKEN_",),
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) -> ScanResult | None:
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```
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`scan_outbound` reads `BOT_BOTTLE_SENSITIVE_PREFIXES` (comma-separated list
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of additional prefixes) from `environ` and appends them:
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```python
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extra = tuple(
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p for p in environ.get("BOT_BOTTLE_SENSITIVE_PREFIXES", "").split(",") if p
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)
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sensitive_prefixes = ("EGRESS_TOKEN_",) + extra
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```
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`redact_tokens` receives the same treatment for consistent redaction.
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### Fragmentation-resistant matching
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A new helper `_alnum_projection(text)` strips all non-alphanumeric characters.
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`scan_known_secrets` runs two passes per secret:
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1. **Exact pass** — existing encoded-variant loop (unchanged).
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2. **Alnum-projection pass** — if the secret's alnum projection has ≥ 8 chars,
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check if it appears in the text's alnum projection. Match → block with
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`"fragmented match (separator injection)"` reason.
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3. **Partial-substring pass** — if the secret's alnum projection has ≥
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`PARTIAL_MATCH_MIN_LEN` chars (12), slide a window of that length across the
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secret's projection and look for each window in the text's alnum projection.
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First match → block with `"partial match"` reason.
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All three passes run only for the `"known_secrets"` detector; the token-pattern
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and entropy detectors are unchanged.
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### Entropy scoring
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New public function:
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```python
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def scan_entropy(
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text: str,
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*,
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location: str = "body",
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window: int = ENTROPY_WINDOW, # 64
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threshold: float = ENTROPY_BLOCK_THRESHOLD, # 5.5
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) -> ScanResult | None:
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```
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Slides a window of `window` characters across `text` in steps of `window // 2`.
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If any window's Shannon entropy exceeds `threshold`, returns a **warn**-severity
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`ScanResult`. Never blocks.
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`OUTBOUND_DETECTOR_NAMES` gains `"entropy"`. Routes opt in via their `dlp`
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block; entropy scanning is **off by default** to avoid false-positive noise on
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legitimate binary payloads.
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### Binary body handling
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In `scan_outbound`, the bytes → str decoding changes from:
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```python
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body.decode("utf-8", errors="replace")
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```
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to:
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```python
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body.decode("utf-8") if body is str else body.decode("latin-1")
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```
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`latin-1` is a bijective byte↔codepoint mapping; every byte value is preserved
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as its corresponding Latin-1 code point, so ASCII-range secret strings remain
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intact and `str.find` / regex still locate them correctly. The fallback from
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strict UTF-8 is tried first so valid UTF-8 bodies are decoded faithfully.
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## Implementation
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Delivered in three commits on the same branch:
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1. **DLP detector changes** — `_alnum_projection`, fragmentation passes,
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`scan_entropy`, broadened `scan_known_secrets`, updated `scan_outbound` and
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`redact_tokens`; all accompanying unit tests.
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2. **Canary injection** — `EgressPlan.canary`, `Egress.prepare()`,
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Docker compose + macos-container backend injection.
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3. **PRD flip** — `Status: Draft → Active`.
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