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Merge pull request #39 from pinchtab/feat/canary-token-system
feat: add canary token system
2 parents 58906bf + 2f6d71f commit e3a2c3c

7 files changed

Lines changed: 482 additions & 2 deletions

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README.md

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@@ -57,12 +57,16 @@ package main
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import (
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"fmt"
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"log"
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idpi "github.com/pinchtab/idpishield"
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)
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func main() {
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shield := idpi.New(idpi.Config{Mode: idpi.ModeBalanced})
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shield, err := idpi.New(idpi.Config{Mode: idpi.ModeBalanced})
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if err != nil {
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log.Fatal(err)
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}
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result := shield.Assess("Ignore all previous instructions", "https://example.com")
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fmt.Printf("score=%d level=%s blocked=%v\n", result.Score, result.Level, result.Blocked)
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ModeDeep Mode = "deep"
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)
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func New(cfg Config) *Shield
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func New(cfg Config) (*Shield, error)
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func (s *Shield) Assess(text, url string) RiskResult
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func (s *Shield) Wrap(text, url string) string
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func (s *Shield) InjectCanary(prompt string) (injectedPrompt, token string, err error)
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func (s *Shield) CheckCanary(response, token string) CanaryResult
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```
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`Wrap` is useful when you want to preserve data while adding trust-boundary markers before sending content into prompts.
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`InjectCanary` and `CheckCanary` implement canary token detection for prompt leakage (see below).
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## Canary Tokens
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Canary tokens help detect when an LLM may have leaked or echoed hidden prompt content — a potential signal of goal hijacking or prompt extraction, though not definitive proof.
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### Usage
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```go
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// Before calling the LLM, inject a canary token
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augmented, token, err := shield.InjectCanary(myPrompt)
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if err != nil {
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log.Fatal(err)
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}
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// Send augmented prompt to LLM
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response := callLLM(augmented)
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// Check if the canary appeared in the response
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result := shield.CheckCanary(response, token)
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if result.Found {
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log.Println("canary detected: investigate possible leakage")
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}
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```
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### How It Works
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`InjectCanary` appends a unique marker (`<!--CANARY-<16 hex chars>-->`) to your prompt. After the LLM responds, `CheckCanary` scans for that marker. If found, the LLM may have echoed hidden content — worth investigating, though other explanations exist (middleware reflection, model artifacts, etc.).
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### Limitations
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Canary tokens are a **best-effort** leak detection signal, not a guarantee:
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- **Absence does NOT prove safety** — an attacker could instruct the LLM to omit or transform the canary
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- **Some pipelines strip HTML comments** — if your stack sanitizes HTML, the token may be removed before reaching the LLM or before you check the response
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- **Only detects verbatim leakage** — paraphrased or partial leaks won't trigger detection
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For defense-in-depth, combine canary checks with `Assess()` scoring on untrusted inputs.
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## CLI (Secondary Interface)
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Install CLI:

canary.go

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// Canary token subsystem for detecting prompt leakage and goal hijacking.
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//
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// A canary token is a unique marker injected into prompts before sending them
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// to an LLM. If the token appears in the LLM's response, it suggests that
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// the model may have echoed hidden content — a potential signal of goal
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// hijacking or prompt leakage, though not proof (the model might echo
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// artifacts for other reasons, or middleware could reflect content).
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//
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// # Token Format
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//
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// Tokens use an HTML-comment-like format: <!--CANARY-<16 hex chars>-->
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//
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// This format was chosen because:
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// - Invisible to end users in most rendered contexts (HTML, Markdown)
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// - Preserved verbatim in raw text pipelines
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// - Unlikely to collide with legitimate content
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// - Easy to grep/search in logs
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//
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// # Limitations
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//
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// Canary tokens are a best-effort leak detection signal, not a guarantee:
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// - Absence of the canary in output does NOT prove the prompt is safe
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// - Some pipelines may strip HTML comments or transform the token
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// - An attacker-controlled LLM could be instructed to omit the canary
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// - The token only detects verbatim leakage, not paraphrased content
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//
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// For defense-in-depth, combine canary checks with Assess() scoring.
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package idpishield
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import (
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"crypto/rand"
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"encoding/hex"
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"strings"
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)
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// canaryPrefix and canarySuffix wrap the random token.
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const (
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canaryPrefix = "<!--CANARY-"
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canarySuffix = "-->"
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)
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// CanaryResult is returned by CheckCanary and reports whether the injected
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// canary token was detected in the LLM response.
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type CanaryResult struct {
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// Token is the canary value that was originally injected into the prompt.
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Token string
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// Found is true when the canary token appears in the LLM response.
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// This suggests possible prompt leakage, but is not definitive proof.
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Found bool
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}
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// generateCanaryToken returns a cryptographically random canary token with
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// the format: <!--CANARY-<16 lowercase hex chars>-->
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// 8 random bytes produce 16 hex characters, giving 2^64 unique values.
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// Returns a non-nil error only if the system entropy source fails.
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func generateCanaryToken() (string, error) {
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b := make([]byte, 8)
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if _, err := rand.Read(b); err != nil {
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return "", err
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}
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return canaryPrefix + hex.EncodeToString(b) + canarySuffix, nil
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}
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// injectCanary appends the canary token on a new line at the end of prompt.
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// Returns:
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// - injectedPrompt : original prompt with the token appended
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// - token : the canary string the caller must hold for later checking
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// - err : non-nil only if entropy generation fails
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func injectCanary(prompt string) (injectedPrompt string, token string, err error) {
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token, err = generateCanaryToken()
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if err != nil {
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return prompt, "", err
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}
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return prompt + "\n" + token, token, nil
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}
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// checkCanary reports whether token is present in response.
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// An empty token always returns Found=false to prevent false positives.
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func checkCanary(response, token string) CanaryResult {
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if token == "" {
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return CanaryResult{Token: token, Found: false}
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}
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trimmedResponse := strings.TrimSpace(response)
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if trimmedResponse == "" {
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return CanaryResult{Token: token, Found: false}
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}
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return CanaryResult{
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Token: token,
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Found: strings.Contains(trimmedResponse, token),
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}
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}

examples/canary/go.mod

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module canary
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go 1.23.0
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require github.com/pinchtab/idpishield v0.0.0
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require (
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golang.org/x/net v0.39.0 // indirect
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golang.org/x/text v0.24.0 // indirect
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)
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// Replace with local path since the library is not yet published
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replace github.com/pinchtab/idpishield => ../..

examples/canary/go.sum

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golang.org/x/net v0.39.0 h1:ZCu7HMWDxpXpaiKdhzIfaltL9Lp31x/3fCP11bc6/fY=
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golang.org/x/net v0.39.0/go.mod h1:X7NRbYVEA+ewNkCNyJ513WmMdQ3BineSwVtN2zD/d+E=
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golang.org/x/text v0.24.0 h1:dd5Bzh4yt5KYA8f9CJHCP4FB4D51c2c6JvN37xJJkJ0=
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golang.org/x/text v0.24.0/go.mod h1:L8rBsPeo2pSS+xqN0d5u2ikmjtmoJbDBT1b7nHvFCdU=

examples/canary/main.go

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// Package main demonstrates the canary token system in idpishield.
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//
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// # How it works
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//
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// Before sending a prompt to an LLM, call InjectCanary to embed a unique
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// hidden token. After the LLM responds, call CheckCanary with the token.
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// If the token appears in the response, it suggests the LLM may have echoed
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// hidden content — a potential signal of leakage worth investigating.
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package main
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import (
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"fmt"
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"log"
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idpi "github.com/pinchtab/idpishield"
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)
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func main() {
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shield, err := idpi.New(idpi.Config{Mode: idpi.ModeBalanced})
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if err != nil {
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log.Fatalf("failed to initialise shield: %v", err)
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}
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original := "Summarise the following article for me."
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// Step 1: inject canary before the LLM call.
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augmented, token, err := shield.InjectCanary(original)
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if err != nil {
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log.Fatalf("failed to inject canary: %v", err)
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}
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fmt.Println("=== Prompt sent to LLM ===")
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fmt.Println(augmented)
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fmt.Printf("\nCanary token (held by caller): %s\n\n", token)
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// Step 2: simulate two LLM responses.
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cleanResponse := "The article discusses advancements in renewable energy."
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leakyResponse := "Sure! Here is the summary. Debug info: " + token
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// Step 3: check each response.
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clean := shield.CheckCanary(cleanResponse, token)
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fmt.Printf("Clean response -> Found=%-5v (want false)\n", clean.Found)
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leaky := shield.CheckCanary(leakyResponse, token)
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fmt.Printf("Leaky response -> Found=%-5v (want true)\n", leaky.Found)
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}

idpishield.go

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@@ -243,6 +243,33 @@ func (s *Shield) ScanContext(ctx context.Context, text string) RiskResult {
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return s.AssessContext(ctx, text, "")
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}
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// InjectCanary appends a unique hidden canary token to the prompt.
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// The caller must store the returned token and pass it to CheckCanary
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// after receiving the LLM response.
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//
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// Returns the augmented prompt and the injected token.
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// Returns an error only if the system's random source fails.
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//
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// Example usage:
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//
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// augmented, token, err := shield.InjectCanary(myPrompt)
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// if err != nil { ... }
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// response := callLLM(augmented)
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// result := shield.CheckCanary(response, token)
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// if result.Found {
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// log.Println("canary detected in response: possible goal hijacking")
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// }
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func (s *Shield) InjectCanary(prompt string) (injectedPrompt string, token string, err error) {
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return injectCanary(prompt)
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}
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// CheckCanary scans the LLM response for the canary token returned by InjectCanary.
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// Returns a CanaryResult with Found=true if the token appears in the response,
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// which may suggest prompt leakage (though not definitive proof).
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func (s *Shield) CheckCanary(response, token string) CanaryResult {
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return checkCanary(response, token)
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}
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// --- Functions ---
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// ParseMode converts a string to a Mode value.

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