feat: AI-driven automated penetration testing (#12)
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This commit was merged in pull request #12.
This commit is contained in:
2026-03-12 14:42:54 +00:00
parent 3ec1456b0d
commit acc5b86aa4
52 changed files with 11729 additions and 98 deletions

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@@ -1,6 +1,7 @@
pub mod chat;
pub mod dast;
pub mod graph;
pub mod pentest;
use std::sync::Arc;
@@ -1108,7 +1109,7 @@ pub async fn list_scan_runs(
}))
}
async fn collect_cursor_async<T: serde::de::DeserializeOwned + Unpin + Send>(
pub(crate) async fn collect_cursor_async<T: serde::de::DeserializeOwned + Unpin + Send>(
mut cursor: mongodb::Cursor<T>,
) -> Vec<T> {
use futures_util::StreamExt;

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@@ -0,0 +1,718 @@
use std::sync::Arc;
use axum::extract::{Extension, Path, Query};
use axum::http::StatusCode;
use axum::response::sse::{Event, Sse};
use axum::response::IntoResponse;
use axum::Json;
use futures_util::stream;
use mongodb::bson::doc;
use serde::Deserialize;
use compliance_core::models::dast::DastFinding;
use compliance_core::models::pentest::*;
use crate::agent::ComplianceAgent;
use crate::pentest::PentestOrchestrator;
use super::{collect_cursor_async, ApiResponse, PaginationParams};
type AgentExt = Extension<Arc<ComplianceAgent>>;
#[derive(Deserialize)]
pub struct CreateSessionRequest {
pub target_id: String,
#[serde(default = "default_strategy")]
pub strategy: String,
pub message: Option<String>,
}
fn default_strategy() -> String {
"comprehensive".to_string()
}
#[derive(Deserialize)]
pub struct SendMessageRequest {
pub message: String,
}
/// POST /api/v1/pentest/sessions — Create a new pentest session and start the orchestrator
#[tracing::instrument(skip_all)]
pub async fn create_session(
Extension(agent): AgentExt,
Json(req): Json<CreateSessionRequest>,
) -> Result<Json<ApiResponse<PentestSession>>, (StatusCode, String)> {
let oid = mongodb::bson::oid::ObjectId::parse_str(&req.target_id).map_err(|_| {
(
StatusCode::BAD_REQUEST,
"Invalid target_id format".to_string(),
)
})?;
// Look up the target
let target = agent
.db
.dast_targets()
.find_one(doc! { "_id": oid })
.await
.map_err(|e| {
(
StatusCode::INTERNAL_SERVER_ERROR,
format!("Database error: {e}"),
)
})?
.ok_or_else(|| (StatusCode::NOT_FOUND, "Target not found".to_string()))?;
// Parse strategy
let strategy = match req.strategy.as_str() {
"quick" => PentestStrategy::Quick,
"targeted" => PentestStrategy::Targeted,
"aggressive" => PentestStrategy::Aggressive,
"stealth" => PentestStrategy::Stealth,
_ => PentestStrategy::Comprehensive,
};
// Create session
let mut session = PentestSession::new(req.target_id.clone(), strategy);
session.repo_id = target.repo_id.clone();
let insert_result = agent
.db
.pentest_sessions()
.insert_one(&session)
.await
.map_err(|e| {
(
StatusCode::INTERNAL_SERVER_ERROR,
format!("Failed to create session: {e}"),
)
})?;
// Set the generated ID back on the session so the orchestrator has it
session.id = insert_result.inserted_id.as_object_id();
let initial_message = req.message.unwrap_or_else(|| {
format!(
"Begin a {} penetration test against {} ({}). \
Identify vulnerabilities and provide evidence for each finding.",
session.strategy, target.name, target.base_url,
)
});
// Spawn the orchestrator on a background task
let llm = agent.llm.clone();
let db = agent.db.clone();
let session_clone = session.clone();
let target_clone = target.clone();
tokio::spawn(async move {
let orchestrator = PentestOrchestrator::new(llm, db);
orchestrator
.run_session_guarded(&session_clone, &target_clone, &initial_message)
.await;
});
Ok(Json(ApiResponse {
data: session,
total: None,
page: None,
}))
}
/// GET /api/v1/pentest/sessions — List pentest sessions
#[tracing::instrument(skip_all)]
pub async fn list_sessions(
Extension(agent): AgentExt,
Query(params): Query<PaginationParams>,
) -> Result<Json<ApiResponse<Vec<PentestSession>>>, StatusCode> {
let db = &agent.db;
let skip = (params.page.saturating_sub(1)) * params.limit as u64;
let total = db
.pentest_sessions()
.count_documents(doc! {})
.await
.unwrap_or(0);
let sessions = match db
.pentest_sessions()
.find(doc! {})
.sort(doc! { "started_at": -1 })
.skip(skip)
.limit(params.limit)
.await
{
Ok(cursor) => collect_cursor_async(cursor).await,
Err(e) => {
tracing::warn!("Failed to fetch pentest sessions: {e}");
Vec::new()
}
};
Ok(Json(ApiResponse {
data: sessions,
total: Some(total),
page: Some(params.page),
}))
}
/// GET /api/v1/pentest/sessions/:id — Get a single pentest session
#[tracing::instrument(skip_all, fields(session_id = %id))]
pub async fn get_session(
Extension(agent): AgentExt,
Path(id): Path<String>,
) -> Result<Json<ApiResponse<PentestSession>>, StatusCode> {
let oid =
mongodb::bson::oid::ObjectId::parse_str(&id).map_err(|_| StatusCode::BAD_REQUEST)?;
let session = agent
.db
.pentest_sessions()
.find_one(doc! { "_id": oid })
.await
.map_err(|_| StatusCode::INTERNAL_SERVER_ERROR)?
.ok_or(StatusCode::NOT_FOUND)?;
Ok(Json(ApiResponse {
data: session,
total: None,
page: None,
}))
}
/// POST /api/v1/pentest/sessions/:id/chat — Send a user message and trigger next orchestrator iteration
#[tracing::instrument(skip_all, fields(session_id = %id))]
pub async fn send_message(
Extension(agent): AgentExt,
Path(id): Path<String>,
Json(req): Json<SendMessageRequest>,
) -> Result<Json<ApiResponse<PentestMessage>>, (StatusCode, String)> {
let oid = mongodb::bson::oid::ObjectId::parse_str(&id)
.map_err(|_| (StatusCode::BAD_REQUEST, "Invalid session ID".to_string()))?;
// Verify session exists and is running
let session = agent
.db
.pentest_sessions()
.find_one(doc! { "_id": oid })
.await
.map_err(|e| {
(
StatusCode::INTERNAL_SERVER_ERROR,
format!("Database error: {e}"),
)
})?
.ok_or_else(|| (StatusCode::NOT_FOUND, "Session not found".to_string()))?;
if session.status != PentestStatus::Running && session.status != PentestStatus::Paused {
return Err((
StatusCode::BAD_REQUEST,
format!("Session is {}, cannot send messages", session.status),
));
}
// Look up the target
let target_oid =
mongodb::bson::oid::ObjectId::parse_str(&session.target_id).map_err(|_| {
(
StatusCode::INTERNAL_SERVER_ERROR,
"Invalid target_id in session".to_string(),
)
})?;
let target = agent
.db
.dast_targets()
.find_one(doc! { "_id": target_oid })
.await
.map_err(|e| {
(
StatusCode::INTERNAL_SERVER_ERROR,
format!("Database error: {e}"),
)
})?
.ok_or_else(|| {
(
StatusCode::NOT_FOUND,
"Target for session not found".to_string(),
)
})?;
// Store user message
let session_id = id.clone();
let user_msg = PentestMessage::user(session_id.clone(), req.message.clone());
let _ = agent.db.pentest_messages().insert_one(&user_msg).await;
let response_msg = user_msg.clone();
// Spawn orchestrator to continue the session
let llm = agent.llm.clone();
let db = agent.db.clone();
let message = req.message.clone();
tokio::spawn(async move {
let orchestrator = PentestOrchestrator::new(llm, db);
orchestrator
.run_session_guarded(&session, &target, &message)
.await;
});
Ok(Json(ApiResponse {
data: response_msg,
total: None,
page: None,
}))
}
/// GET /api/v1/pentest/sessions/:id/stream — SSE endpoint for real-time events
///
/// Returns recent messages as SSE events (polling approach).
/// True real-time streaming with broadcast channels will be added in a future iteration.
#[tracing::instrument(skip_all, fields(session_id = %id))]
pub async fn session_stream(
Extension(agent): AgentExt,
Path(id): Path<String>,
) -> Result<Sse<impl futures_util::Stream<Item = Result<Event, std::convert::Infallible>>>, StatusCode>
{
let oid =
mongodb::bson::oid::ObjectId::parse_str(&id).map_err(|_| StatusCode::BAD_REQUEST)?;
// Verify session exists
let _session = agent
.db
.pentest_sessions()
.find_one(doc! { "_id": oid })
.await
.map_err(|_| StatusCode::INTERNAL_SERVER_ERROR)?
.ok_or(StatusCode::NOT_FOUND)?;
// Fetch recent messages for this session
let messages: Vec<PentestMessage> = match agent
.db
.pentest_messages()
.find(doc! { "session_id": &id })
.sort(doc! { "created_at": 1 })
.limit(100)
.await
{
Ok(cursor) => collect_cursor_async(cursor).await,
Err(_) => Vec::new(),
};
// Fetch recent attack chain nodes
let nodes: Vec<AttackChainNode> = match agent
.db
.attack_chain_nodes()
.find(doc! { "session_id": &id })
.sort(doc! { "started_at": 1 })
.limit(100)
.await
{
Ok(cursor) => collect_cursor_async(cursor).await,
Err(_) => Vec::new(),
};
// Build SSE events from stored data
let mut events: Vec<Result<Event, std::convert::Infallible>> = Vec::new();
for msg in &messages {
let event_data = serde_json::json!({
"type": "message",
"role": msg.role,
"content": msg.content,
"created_at": msg.created_at.to_rfc3339(),
});
if let Ok(data) = serde_json::to_string(&event_data) {
events.push(Ok(Event::default().event("message").data(data)));
}
}
for node in &nodes {
let event_data = serde_json::json!({
"type": "tool_execution",
"node_id": node.node_id,
"tool_name": node.tool_name,
"status": node.status,
"findings_produced": node.findings_produced,
});
if let Ok(data) = serde_json::to_string(&event_data) {
events.push(Ok(Event::default().event("tool").data(data)));
}
}
// Add session status event
let session = agent
.db
.pentest_sessions()
.find_one(doc! { "_id": oid })
.await
.ok()
.flatten();
if let Some(s) = session {
let status_data = serde_json::json!({
"type": "status",
"status": s.status,
"findings_count": s.findings_count,
"tool_invocations": s.tool_invocations,
});
if let Ok(data) = serde_json::to_string(&status_data) {
events.push(Ok(Event::default().event("status").data(data)));
}
}
Ok(Sse::new(stream::iter(events)))
}
/// POST /api/v1/pentest/sessions/:id/stop — Stop a running pentest session
#[tracing::instrument(skip_all, fields(session_id = %id))]
pub async fn stop_session(
Extension(agent): AgentExt,
Path(id): Path<String>,
) -> Result<Json<ApiResponse<PentestSession>>, (StatusCode, String)> {
let oid = mongodb::bson::oid::ObjectId::parse_str(&id)
.map_err(|_| (StatusCode::BAD_REQUEST, "Invalid session ID".to_string()))?;
let session = agent
.db
.pentest_sessions()
.find_one(doc! { "_id": oid })
.await
.map_err(|e| (StatusCode::INTERNAL_SERVER_ERROR, format!("Database error: {e}")))?
.ok_or_else(|| (StatusCode::NOT_FOUND, "Session not found".to_string()))?;
if session.status != PentestStatus::Running {
return Err((
StatusCode::BAD_REQUEST,
format!("Session is {}, not running", session.status),
));
}
agent
.db
.pentest_sessions()
.update_one(
doc! { "_id": oid },
doc! { "$set": {
"status": "failed",
"completed_at": mongodb::bson::DateTime::now(),
"error_message": "Stopped by user",
}},
)
.await
.map_err(|e| (StatusCode::INTERNAL_SERVER_ERROR, format!("Database error: {e}")))?;
let updated = agent
.db
.pentest_sessions()
.find_one(doc! { "_id": oid })
.await
.map_err(|e| (StatusCode::INTERNAL_SERVER_ERROR, format!("Database error: {e}")))?
.ok_or_else(|| (StatusCode::NOT_FOUND, "Session not found after update".to_string()))?;
Ok(Json(ApiResponse {
data: updated,
total: None,
page: None,
}))
}
/// GET /api/v1/pentest/sessions/:id/attack-chain — Get attack chain nodes for a session
#[tracing::instrument(skip_all, fields(session_id = %id))]
pub async fn get_attack_chain(
Extension(agent): AgentExt,
Path(id): Path<String>,
) -> Result<Json<ApiResponse<Vec<AttackChainNode>>>, StatusCode> {
// Verify the session ID is valid
let _oid =
mongodb::bson::oid::ObjectId::parse_str(&id).map_err(|_| StatusCode::BAD_REQUEST)?;
let nodes = match agent
.db
.attack_chain_nodes()
.find(doc! { "session_id": &id })
.sort(doc! { "started_at": 1 })
.await
{
Ok(cursor) => collect_cursor_async(cursor).await,
Err(e) => {
tracing::warn!("Failed to fetch attack chain nodes: {e}");
Vec::new()
}
};
let total = nodes.len() as u64;
Ok(Json(ApiResponse {
data: nodes,
total: Some(total),
page: None,
}))
}
/// GET /api/v1/pentest/sessions/:id/messages — Get messages for a session
#[tracing::instrument(skip_all, fields(session_id = %id))]
pub async fn get_messages(
Extension(agent): AgentExt,
Path(id): Path<String>,
Query(params): Query<PaginationParams>,
) -> Result<Json<ApiResponse<Vec<PentestMessage>>>, StatusCode> {
let _oid =
mongodb::bson::oid::ObjectId::parse_str(&id).map_err(|_| StatusCode::BAD_REQUEST)?;
let skip = (params.page.saturating_sub(1)) * params.limit as u64;
let total = agent
.db
.pentest_messages()
.count_documents(doc! { "session_id": &id })
.await
.unwrap_or(0);
let messages = match agent
.db
.pentest_messages()
.find(doc! { "session_id": &id })
.sort(doc! { "created_at": 1 })
.skip(skip)
.limit(params.limit)
.await
{
Ok(cursor) => collect_cursor_async(cursor).await,
Err(e) => {
tracing::warn!("Failed to fetch pentest messages: {e}");
Vec::new()
}
};
Ok(Json(ApiResponse {
data: messages,
total: Some(total),
page: Some(params.page),
}))
}
/// GET /api/v1/pentest/stats — Aggregated pentest statistics
#[tracing::instrument(skip_all)]
pub async fn pentest_stats(
Extension(agent): AgentExt,
) -> Result<Json<ApiResponse<PentestStats>>, StatusCode> {
let db = &agent.db;
let running_sessions = db
.pentest_sessions()
.count_documents(doc! { "status": "running" })
.await
.unwrap_or(0) as u32;
// Count DAST findings from pentest sessions
let total_vulnerabilities = db
.dast_findings()
.count_documents(doc! { "session_id": { "$exists": true, "$ne": null } })
.await
.unwrap_or(0) as u32;
// Aggregate tool invocations from all sessions
let sessions: Vec<PentestSession> = match db.pentest_sessions().find(doc! {}).await {
Ok(cursor) => collect_cursor_async(cursor).await,
Err(_) => Vec::new(),
};
let total_tool_invocations: u32 = sessions.iter().map(|s| s.tool_invocations).sum();
let total_successes: u32 = sessions.iter().map(|s| s.tool_successes).sum();
let tool_success_rate = if total_tool_invocations == 0 {
100.0
} else {
(total_successes as f64 / total_tool_invocations as f64) * 100.0
};
// Severity distribution from pentest-related DAST findings
let critical = db
.dast_findings()
.count_documents(doc! { "session_id": { "$exists": true, "$ne": null }, "severity": "critical" })
.await
.unwrap_or(0) as u32;
let high = db
.dast_findings()
.count_documents(doc! { "session_id": { "$exists": true, "$ne": null }, "severity": "high" })
.await
.unwrap_or(0) as u32;
let medium = db
.dast_findings()
.count_documents(doc! { "session_id": { "$exists": true, "$ne": null }, "severity": "medium" })
.await
.unwrap_or(0) as u32;
let low = db
.dast_findings()
.count_documents(doc! { "session_id": { "$exists": true, "$ne": null }, "severity": "low" })
.await
.unwrap_or(0) as u32;
let info = db
.dast_findings()
.count_documents(doc! { "session_id": { "$exists": true, "$ne": null }, "severity": "info" })
.await
.unwrap_or(0) as u32;
Ok(Json(ApiResponse {
data: PentestStats {
running_sessions,
total_vulnerabilities,
total_tool_invocations,
tool_success_rate,
severity_distribution: SeverityDistribution {
critical,
high,
medium,
low,
info,
},
},
total: None,
page: None,
}))
}
/// GET /api/v1/pentest/sessions/:id/findings — Get DAST findings for a pentest session
#[tracing::instrument(skip_all, fields(session_id = %id))]
pub async fn get_session_findings(
Extension(agent): AgentExt,
Path(id): Path<String>,
Query(params): Query<PaginationParams>,
) -> Result<Json<ApiResponse<Vec<DastFinding>>>, StatusCode> {
let _oid =
mongodb::bson::oid::ObjectId::parse_str(&id).map_err(|_| StatusCode::BAD_REQUEST)?;
let skip = (params.page.saturating_sub(1)) * params.limit as u64;
let total = agent
.db
.dast_findings()
.count_documents(doc! { "session_id": &id })
.await
.unwrap_or(0);
let findings = match agent
.db
.dast_findings()
.find(doc! { "session_id": &id })
.sort(doc! { "created_at": -1 })
.skip(skip)
.limit(params.limit)
.await
{
Ok(cursor) => collect_cursor_async(cursor).await,
Err(e) => {
tracing::warn!("Failed to fetch pentest session findings: {e}");
Vec::new()
}
};
Ok(Json(ApiResponse {
data: findings,
total: Some(total),
page: Some(params.page),
}))
}
#[derive(Deserialize)]
pub struct ExportBody {
pub password: String,
/// Requester display name (from auth)
#[serde(default)]
pub requester_name: String,
/// Requester email (from auth)
#[serde(default)]
pub requester_email: String,
}
/// POST /api/v1/pentest/sessions/:id/export — Export an encrypted pentest report archive
#[tracing::instrument(skip_all, fields(session_id = %id))]
pub async fn export_session_report(
Extension(agent): AgentExt,
Path(id): Path<String>,
Json(body): Json<ExportBody>,
) -> Result<axum::response::Response, (StatusCode, String)> {
let oid = mongodb::bson::oid::ObjectId::parse_str(&id)
.map_err(|_| (StatusCode::BAD_REQUEST, "Invalid session ID".to_string()))?;
if body.password.len() < 8 {
return Err((
StatusCode::BAD_REQUEST,
"Password must be at least 8 characters".to_string(),
));
}
// Fetch session
let session = agent
.db
.pentest_sessions()
.find_one(doc! { "_id": oid })
.await
.map_err(|e| (StatusCode::INTERNAL_SERVER_ERROR, format!("Database error: {e}")))?
.ok_or_else(|| (StatusCode::NOT_FOUND, "Session not found".to_string()))?;
// Resolve target name
let target = if let Ok(tid) = mongodb::bson::oid::ObjectId::parse_str(&session.target_id) {
agent
.db
.dast_targets()
.find_one(doc! { "_id": tid })
.await
.ok()
.flatten()
} else {
None
};
let target_name = target
.as_ref()
.map(|t| t.name.clone())
.unwrap_or_else(|| "Unknown Target".to_string());
let target_url = target
.as_ref()
.map(|t| t.base_url.clone())
.unwrap_or_default();
// Fetch attack chain nodes
let nodes: Vec<AttackChainNode> = match agent
.db
.attack_chain_nodes()
.find(doc! { "session_id": &id })
.sort(doc! { "started_at": 1 })
.await
{
Ok(cursor) => collect_cursor_async(cursor).await,
Err(_) => Vec::new(),
};
// Fetch DAST findings for this session
let findings: Vec<DastFinding> = match agent
.db
.dast_findings()
.find(doc! { "session_id": &id })
.sort(doc! { "severity": -1, "created_at": -1 })
.await
{
Ok(cursor) => collect_cursor_async(cursor).await,
Err(_) => Vec::new(),
};
let ctx = crate::pentest::report::ReportContext {
session,
target_name,
target_url,
findings,
attack_chain: nodes,
requester_name: if body.requester_name.is_empty() {
"Unknown".to_string()
} else {
body.requester_name
},
requester_email: body.requester_email,
};
let report = crate::pentest::generate_encrypted_report(&ctx, &body.password)
.await
.map_err(|e| (StatusCode::INTERNAL_SERVER_ERROR, e))?;
let response = serde_json::json!({
"archive_base64": base64::Engine::encode(&base64::engine::general_purpose::STANDARD, &report.archive),
"sha256": report.sha256,
"filename": format!("pentest-report-{id}.zip"),
});
Ok(Json(response).into_response())
}

View File

@@ -99,6 +99,44 @@ pub fn build_router() -> Router {
"/api/v1/chat/{repo_id}/status",
get(handlers::chat::embedding_status),
)
// Pentest API endpoints
.route(
"/api/v1/pentest/sessions",
get(handlers::pentest::list_sessions).post(handlers::pentest::create_session),
)
.route(
"/api/v1/pentest/sessions/{id}",
get(handlers::pentest::get_session),
)
.route(
"/api/v1/pentest/sessions/{id}/chat",
post(handlers::pentest::send_message),
)
.route(
"/api/v1/pentest/sessions/{id}/stop",
post(handlers::pentest::stop_session),
)
.route(
"/api/v1/pentest/sessions/{id}/stream",
get(handlers::pentest::session_stream),
)
.route(
"/api/v1/pentest/sessions/{id}/attack-chain",
get(handlers::pentest::get_attack_chain),
)
.route(
"/api/v1/pentest/sessions/{id}/messages",
get(handlers::pentest::get_messages),
)
.route(
"/api/v1/pentest/sessions/{id}/findings",
get(handlers::pentest::get_session_findings),
)
.route(
"/api/v1/pentest/sessions/{id}/export",
post(handlers::pentest::export_session_report),
)
.route("/api/v1/pentest/stats", get(handlers::pentest::pentest_stats))
// Webhook endpoints (proxied through dashboard)
.route(
"/webhook/github/{repo_id}",

View File

@@ -166,6 +166,38 @@ impl Database {
)
.await?;
// pentest_sessions: compound (target_id, started_at DESC)
self.pentest_sessions()
.create_index(
IndexModel::builder()
.keys(doc! { "target_id": 1, "started_at": -1 })
.build(),
)
.await?;
// pentest_sessions: status index
self.pentest_sessions()
.create_index(IndexModel::builder().keys(doc! { "status": 1 }).build())
.await?;
// attack_chain_nodes: compound (session_id, node_id)
self.attack_chain_nodes()
.create_index(
IndexModel::builder()
.keys(doc! { "session_id": 1, "node_id": 1 })
.build(),
)
.await?;
// pentest_messages: compound (session_id, created_at)
self.pentest_messages()
.create_index(
IndexModel::builder()
.keys(doc! { "session_id": 1, "created_at": 1 })
.build(),
)
.await?;
tracing::info!("Database indexes ensured");
Ok(())
}
@@ -235,6 +267,19 @@ impl Database {
self.inner.collection("embedding_builds")
}
// Pentest collections
pub fn pentest_sessions(&self) -> Collection<PentestSession> {
self.inner.collection("pentest_sessions")
}
pub fn attack_chain_nodes(&self) -> Collection<AttackChainNode> {
self.inner.collection("attack_chain_nodes")
}
pub fn pentest_messages(&self) -> Collection<PentestMessage> {
self.inner.collection("pentest_messages")
}
#[allow(dead_code)]
pub fn raw_collection(&self, name: &str) -> Collection<mongodb::bson::Document> {
self.inner.collection(name)

View File

@@ -12,10 +12,16 @@ pub struct LlmClient {
http: reqwest::Client,
}
#[derive(Serialize)]
struct ChatMessage {
role: String,
content: String,
// ── Request types ──────────────────────────────────────────────
#[derive(Serialize, Clone, Debug)]
pub struct ChatMessage {
pub role: String,
pub content: Option<String>,
#[serde(skip_serializing_if = "Option::is_none")]
pub tool_calls: Option<Vec<ToolCallRequest>>,
#[serde(skip_serializing_if = "Option::is_none")]
pub tool_call_id: Option<String>,
}
#[derive(Serialize)]
@@ -26,8 +32,25 @@ struct ChatCompletionRequest {
temperature: Option<f64>,
#[serde(skip_serializing_if = "Option::is_none")]
max_tokens: Option<u32>,
#[serde(skip_serializing_if = "Option::is_none")]
tools: Option<Vec<ToolDefinitionPayload>>,
}
#[derive(Serialize)]
struct ToolDefinitionPayload {
r#type: String,
function: ToolFunctionPayload,
}
#[derive(Serialize)]
struct ToolFunctionPayload {
name: String,
description: String,
parameters: serde_json::Value,
}
// ── Response types ─────────────────────────────────────────────
#[derive(Deserialize)]
struct ChatCompletionResponse {
choices: Vec<ChatChoice>,
@@ -40,29 +63,85 @@ struct ChatChoice {
#[derive(Deserialize)]
struct ChatResponseMessage {
content: String,
#[serde(default)]
content: Option<String>,
#[serde(default)]
tool_calls: Option<Vec<ToolCallResponse>>,
}
/// Request body for the embeddings API
#[derive(Deserialize)]
struct ToolCallResponse {
id: String,
function: ToolCallFunction,
}
#[derive(Deserialize)]
struct ToolCallFunction {
name: String,
arguments: String,
}
// ── Public types for tool calling ──────────────────────────────
/// Definition of a tool that the LLM can invoke
#[derive(Debug, Clone, Serialize)]
pub struct ToolDefinition {
pub name: String,
pub description: String,
pub parameters: serde_json::Value,
}
/// A tool call request from the LLM
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct LlmToolCall {
pub id: String,
pub name: String,
pub arguments: serde_json::Value,
}
/// A tool call in the request message format (for sending back tool_calls in assistant messages)
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ToolCallRequest {
pub id: String,
pub r#type: String,
pub function: ToolCallRequestFunction,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ToolCallRequestFunction {
pub name: String,
pub arguments: String,
}
/// Response from the LLM — either content or tool calls
#[derive(Debug, Clone)]
pub enum LlmResponse {
Content(String),
/// Tool calls with optional reasoning text from the LLM
ToolCalls { calls: Vec<LlmToolCall>, reasoning: String },
}
// ── Embedding types ────────────────────────────────────────────
#[derive(Serialize)]
struct EmbeddingRequest {
model: String,
input: Vec<String>,
}
/// Response from the embeddings API
#[derive(Deserialize)]
struct EmbeddingResponse {
data: Vec<EmbeddingData>,
}
/// A single embedding result
#[derive(Deserialize)]
struct EmbeddingData {
embedding: Vec<f64>,
index: usize,
}
// ── Implementation ─────────────────────────────────────────────
impl LlmClient {
pub fn new(
base_url: String,
@@ -83,98 +162,142 @@ impl LlmClient {
&self.embed_model
}
fn chat_url(&self) -> String {
format!(
"{}/v1/chat/completions",
self.base_url.trim_end_matches('/')
)
}
fn auth_header(&self) -> Option<String> {
let key = self.api_key.expose_secret();
if key.is_empty() {
None
} else {
Some(format!("Bearer {key}"))
}
}
/// Simple chat: system + user prompt → text response
pub async fn chat(
&self,
system_prompt: &str,
user_prompt: &str,
temperature: Option<f64>,
) -> Result<String, AgentError> {
let url = format!(
"{}/v1/chat/completions",
self.base_url.trim_end_matches('/')
);
let messages = vec![
ChatMessage {
role: "system".to_string(),
content: Some(system_prompt.to_string()),
tool_calls: None,
tool_call_id: None,
},
ChatMessage {
role: "user".to_string(),
content: Some(user_prompt.to_string()),
tool_calls: None,
tool_call_id: None,
},
];
let request_body = ChatCompletionRequest {
model: self.model.clone(),
messages: vec![
ChatMessage {
role: "system".to_string(),
content: system_prompt.to_string(),
},
ChatMessage {
role: "user".to_string(),
content: user_prompt.to_string(),
},
],
messages,
temperature,
max_tokens: Some(4096),
tools: None,
};
let mut req = self
.http
.post(&url)
.header("content-type", "application/json")
.json(&request_body);
let key = self.api_key.expose_secret();
if !key.is_empty() {
req = req.header("Authorization", format!("Bearer {key}"));
}
let resp = req
.send()
.await
.map_err(|e| AgentError::Other(format!("LiteLLM request failed: {e}")))?;
if !resp.status().is_success() {
let status = resp.status();
let body = resp.text().await.unwrap_or_default();
return Err(AgentError::Other(format!(
"LiteLLM returned {status}: {body}"
)));
}
let body: ChatCompletionResponse = resp
.json()
.await
.map_err(|e| AgentError::Other(format!("Failed to parse LiteLLM response: {e}")))?;
body.choices
.first()
.map(|c| c.message.content.clone())
.ok_or_else(|| AgentError::Other("Empty response from LiteLLM".to_string()))
self.send_chat_request(&request_body).await.map(|resp| {
match resp {
LlmResponse::Content(c) => c,
LlmResponse::ToolCalls { .. } => String::new(), // shouldn't happen without tools
}
})
}
/// Chat with a list of (role, content) messages → text response
#[allow(dead_code)]
pub async fn chat_with_messages(
&self,
messages: Vec<(String, String)>,
temperature: Option<f64>,
) -> Result<String, AgentError> {
let url = format!(
"{}/v1/chat/completions",
self.base_url.trim_end_matches('/')
);
let messages = messages
.into_iter()
.map(|(role, content)| ChatMessage {
role,
content: Some(content),
tool_calls: None,
tool_call_id: None,
})
.collect();
let request_body = ChatCompletionRequest {
model: self.model.clone(),
messages: messages
.into_iter()
.map(|(role, content)| ChatMessage { role, content })
.collect(),
messages,
temperature,
max_tokens: Some(4096),
tools: None,
};
self.send_chat_request(&request_body).await.map(|resp| {
match resp {
LlmResponse::Content(c) => c,
LlmResponse::ToolCalls { .. } => String::new(),
}
})
}
/// Chat with tool definitions — returns either content or tool calls.
/// Use this for the AI pentest orchestrator loop.
pub async fn chat_with_tools(
&self,
messages: Vec<ChatMessage>,
tools: &[ToolDefinition],
temperature: Option<f64>,
max_tokens: Option<u32>,
) -> Result<LlmResponse, AgentError> {
let tool_payloads: Vec<ToolDefinitionPayload> = tools
.iter()
.map(|t| ToolDefinitionPayload {
r#type: "function".to_string(),
function: ToolFunctionPayload {
name: t.name.clone(),
description: t.description.clone(),
parameters: t.parameters.clone(),
},
})
.collect();
let request_body = ChatCompletionRequest {
model: self.model.clone(),
messages,
temperature,
max_tokens: Some(max_tokens.unwrap_or(8192)),
tools: if tool_payloads.is_empty() {
None
} else {
Some(tool_payloads)
},
};
self.send_chat_request(&request_body).await
}
/// Internal method to send a chat completion request and parse the response
async fn send_chat_request(
&self,
request_body: &ChatCompletionRequest,
) -> Result<LlmResponse, AgentError> {
let mut req = self
.http
.post(&url)
.post(&self.chat_url())
.header("content-type", "application/json")
.json(&request_body);
.json(request_body);
let key = self.api_key.expose_secret();
if !key.is_empty() {
req = req.header("Authorization", format!("Bearer {key}"));
if let Some(auth) = self.auth_header() {
req = req.header("Authorization", auth);
}
let resp = req
@@ -195,10 +318,39 @@ impl LlmClient {
.await
.map_err(|e| AgentError::Other(format!("Failed to parse LiteLLM response: {e}")))?;
body.choices
let choice = body
.choices
.first()
.map(|c| c.message.content.clone())
.ok_or_else(|| AgentError::Other("Empty response from LiteLLM".to_string()))
.ok_or_else(|| AgentError::Other("Empty response from LiteLLM".to_string()))?;
// Check for tool calls first
if let Some(tool_calls) = &choice.message.tool_calls {
if !tool_calls.is_empty() {
let calls: Vec<LlmToolCall> = tool_calls
.iter()
.map(|tc| {
let arguments = serde_json::from_str(&tc.function.arguments)
.unwrap_or(serde_json::Value::Object(serde_json::Map::new()));
LlmToolCall {
id: tc.id.clone(),
name: tc.function.name.clone(),
arguments,
}
})
.collect();
// Capture any reasoning text the LLM included alongside tool calls
let reasoning = choice.message.content.clone().unwrap_or_default();
return Ok(LlmResponse::ToolCalls { calls, reasoning });
}
}
// Otherwise return content
let content = choice
.message
.content
.clone()
.unwrap_or_default();
Ok(LlmResponse::Content(content))
}
/// Generate embeddings for a batch of texts
@@ -216,9 +368,8 @@ impl LlmClient {
.header("content-type", "application/json")
.json(&request_body);
let key = self.api_key.expose_secret();
if !key.is_empty() {
req = req.header("Authorization", format!("Bearer {key}"));
if let Some(auth) = self.auth_header() {
req = req.header("Authorization", auth);
}
let resp = req
@@ -239,7 +390,6 @@ impl LlmClient {
.await
.map_err(|e| AgentError::Other(format!("Failed to parse embedding response: {e}")))?;
// Sort by index to maintain input order
let mut data = body.data;
data.sort_by_key(|d| d.index);

View File

@@ -4,6 +4,7 @@ mod config;
mod database;
mod error;
mod llm;
mod pentest;
mod pipeline;
mod rag;
mod scheduler;

View File

@@ -0,0 +1,5 @@
pub mod orchestrator;
pub mod report;
pub use orchestrator::PentestOrchestrator;
pub use report::generate_encrypted_report;

View File

@@ -0,0 +1,761 @@
use std::sync::Arc;
use std::time::Duration;
use futures_util::StreamExt;
use mongodb::bson::doc;
use tokio::sync::broadcast;
use compliance_core::models::dast::DastTarget;
use compliance_core::models::finding::{Finding, FindingStatus, Severity};
use compliance_core::models::pentest::*;
use compliance_core::models::sbom::SbomEntry;
use compliance_core::traits::pentest_tool::PentestToolContext;
use compliance_dast::ToolRegistry;
use crate::database::Database;
use crate::llm::client::{
ChatMessage, LlmResponse, ToolCallRequest, ToolCallRequestFunction, ToolDefinition,
};
use crate::llm::LlmClient;
/// Maximum duration for a single pentest session before timeout
const SESSION_TIMEOUT: Duration = Duration::from_secs(30 * 60); // 30 minutes
pub struct PentestOrchestrator {
tool_registry: ToolRegistry,
llm: Arc<LlmClient>,
db: Database,
event_tx: broadcast::Sender<PentestEvent>,
}
impl PentestOrchestrator {
pub fn new(llm: Arc<LlmClient>, db: Database) -> Self {
let (event_tx, _) = broadcast::channel(256);
Self {
tool_registry: ToolRegistry::new(),
llm,
db,
event_tx,
}
}
pub fn subscribe(&self) -> broadcast::Receiver<PentestEvent> {
self.event_tx.subscribe()
}
pub fn event_sender(&self) -> broadcast::Sender<PentestEvent> {
self.event_tx.clone()
}
/// Run a pentest session with timeout and automatic failure marking on errors.
pub async fn run_session_guarded(
&self,
session: &PentestSession,
target: &DastTarget,
initial_message: &str,
) {
let session_id = session.id;
match tokio::time::timeout(
SESSION_TIMEOUT,
self.run_session(session, target, initial_message),
)
.await
{
Ok(Ok(())) => {
tracing::info!(?session_id, "Pentest session completed successfully");
}
Ok(Err(e)) => {
tracing::error!(?session_id, error = %e, "Pentest session failed");
self.mark_session_failed(session_id, &format!("Error: {e}"))
.await;
let _ = self.event_tx.send(PentestEvent::Error {
message: format!("Session failed: {e}"),
});
}
Err(_) => {
tracing::warn!(?session_id, "Pentest session timed out after 30 minutes");
self.mark_session_failed(session_id, "Session timed out after 30 minutes")
.await;
let _ = self.event_tx.send(PentestEvent::Error {
message: "Session timed out after 30 minutes".to_string(),
});
}
}
}
async fn mark_session_failed(
&self,
session_id: Option<mongodb::bson::oid::ObjectId>,
reason: &str,
) {
if let Some(sid) = session_id {
let _ = self
.db
.pentest_sessions()
.update_one(
doc! { "_id": sid },
doc! { "$set": {
"status": "failed",
"completed_at": mongodb::bson::DateTime::now(),
"error_message": reason,
}},
)
.await;
}
}
async fn run_session(
&self,
session: &PentestSession,
target: &DastTarget,
initial_message: &str,
) -> Result<(), crate::error::AgentError> {
let session_id = session
.id
.map(|oid| oid.to_hex())
.unwrap_or_default();
// Gather code-awareness context from linked repo
let (sast_findings, sbom_entries, code_context) =
self.gather_repo_context(target).await;
// Build system prompt with code context
let system_prompt = self
.build_system_prompt(session, target, &sast_findings, &sbom_entries, &code_context)
.await;
// Build tool definitions for LLM
let tool_defs: Vec<ToolDefinition> = self
.tool_registry
.all_definitions()
.into_iter()
.map(|td| ToolDefinition {
name: td.name,
description: td.description,
parameters: td.input_schema,
})
.collect();
// Initialize messages
let mut messages = vec![
ChatMessage {
role: "system".to_string(),
content: Some(system_prompt),
tool_calls: None,
tool_call_id: None,
},
ChatMessage {
role: "user".to_string(),
content: Some(initial_message.to_string()),
tool_calls: None,
tool_call_id: None,
},
];
// Store user message
let user_msg = PentestMessage::user(session_id.clone(), initial_message.to_string());
let _ = self.db.pentest_messages().insert_one(&user_msg).await;
// Build tool context with real data
let tool_context = PentestToolContext {
target: target.clone(),
session_id: session_id.clone(),
sast_findings,
sbom_entries,
code_context,
rate_limit: target.rate_limit,
allow_destructive: target.allow_destructive,
};
let max_iterations = 50;
let mut total_findings = 0u32;
let mut total_tool_calls = 0u32;
let mut total_successes = 0u32;
let mut prev_node_ids: Vec<String> = Vec::new();
for _iteration in 0..max_iterations {
let response = self
.llm
.chat_with_tools(messages.clone(), &tool_defs, Some(0.2), Some(8192))
.await?;
match response {
LlmResponse::Content(content) => {
let msg =
PentestMessage::assistant(session_id.clone(), content.clone());
let _ = self.db.pentest_messages().insert_one(&msg).await;
let _ = self.event_tx.send(PentestEvent::Message {
content: content.clone(),
});
messages.push(ChatMessage {
role: "assistant".to_string(),
content: Some(content.clone()),
tool_calls: None,
tool_call_id: None,
});
let done_indicators = [
"pentest complete",
"testing complete",
"scan complete",
"analysis complete",
"finished",
"that concludes",
];
let content_lower = content.to_lowercase();
if done_indicators
.iter()
.any(|ind| content_lower.contains(ind))
{
break;
}
break;
}
LlmResponse::ToolCalls { calls: tool_calls, reasoning } => {
let tc_requests: Vec<ToolCallRequest> = tool_calls
.iter()
.map(|tc| ToolCallRequest {
id: tc.id.clone(),
r#type: "function".to_string(),
function: ToolCallRequestFunction {
name: tc.name.clone(),
arguments: serde_json::to_string(&tc.arguments)
.unwrap_or_default(),
},
})
.collect();
messages.push(ChatMessage {
role: "assistant".to_string(),
content: if reasoning.is_empty() { None } else { Some(reasoning.clone()) },
tool_calls: Some(tc_requests),
tool_call_id: None,
});
let mut current_batch_node_ids: Vec<String> = Vec::new();
for tc in &tool_calls {
total_tool_calls += 1;
let node_id = uuid::Uuid::new_v4().to_string();
let mut node = AttackChainNode::new(
session_id.clone(),
node_id.clone(),
tc.name.clone(),
tc.arguments.clone(),
reasoning.clone(),
);
// Link to previous iteration's nodes
node.parent_node_ids = prev_node_ids.clone();
node.status = AttackNodeStatus::Running;
node.started_at = Some(chrono::Utc::now());
let _ = self.db.attack_chain_nodes().insert_one(&node).await;
current_batch_node_ids.push(node_id.clone());
let _ = self.event_tx.send(PentestEvent::ToolStart {
node_id: node_id.clone(),
tool_name: tc.name.clone(),
input: tc.arguments.clone(),
});
let result = if let Some(tool) = self.tool_registry.get(&tc.name) {
match tool.execute(tc.arguments.clone(), &tool_context).await {
Ok(result) => {
total_successes += 1;
let findings_count = result.findings.len() as u32;
total_findings += findings_count;
let mut finding_ids: Vec<String> = Vec::new();
for mut finding in result.findings {
finding.scan_run_id = session_id.clone();
finding.session_id = Some(session_id.clone());
let insert_result =
self.db.dast_findings().insert_one(&finding).await;
if let Ok(res) = &insert_result {
finding_ids.push(res.inserted_id.as_object_id().map(|oid| oid.to_hex()).unwrap_or_default());
}
let _ =
self.event_tx.send(PentestEvent::Finding {
finding_id: finding
.id
.map(|oid| oid.to_hex())
.unwrap_or_default(),
title: finding.title.clone(),
severity: finding.severity.to_string(),
});
}
// Compute risk score based on findings severity
let risk_score: Option<u8> = if findings_count > 0 {
Some(std::cmp::min(
100,
(findings_count as u8).saturating_mul(15).saturating_add(20),
))
} else {
None
};
let _ = self.event_tx.send(PentestEvent::ToolComplete {
node_id: node_id.clone(),
summary: result.summary.clone(),
findings_count,
});
let finding_ids_bson: Vec<mongodb::bson::Bson> = finding_ids
.iter()
.map(|id| mongodb::bson::Bson::String(id.clone()))
.collect();
let mut update_doc = doc! {
"status": "completed",
"tool_output": mongodb::bson::to_bson(&result.data)
.unwrap_or(mongodb::bson::Bson::Null),
"completed_at": mongodb::bson::DateTime::now(),
"findings_produced": finding_ids_bson,
};
if let Some(rs) = risk_score {
update_doc.insert("risk_score", rs as i32);
}
let _ = self
.db
.attack_chain_nodes()
.update_one(
doc! {
"session_id": &session_id,
"node_id": &node_id,
},
doc! { "$set": update_doc },
)
.await;
serde_json::json!({
"summary": result.summary,
"findings_count": findings_count,
"data": result.data,
})
.to_string()
}
Err(e) => {
let _ = self
.db
.attack_chain_nodes()
.update_one(
doc! {
"session_id": &session_id,
"node_id": &node_id,
},
doc! { "$set": {
"status": "failed",
"completed_at": mongodb::bson::DateTime::now(),
}},
)
.await;
format!("Tool execution failed: {e}")
}
}
} else {
format!("Unknown tool: {}", tc.name)
};
messages.push(ChatMessage {
role: "tool".to_string(),
content: Some(result),
tool_calls: None,
tool_call_id: Some(tc.id.clone()),
});
}
// Advance parent links so next iteration's nodes connect to this batch
prev_node_ids = current_batch_node_ids;
if let Some(sid) = session.id {
let _ = self
.db
.pentest_sessions()
.update_one(
doc! { "_id": sid },
doc! { "$set": {
"tool_invocations": total_tool_calls as i64,
"tool_successes": total_successes as i64,
"findings_count": total_findings as i64,
}},
)
.await;
}
}
}
}
if let Some(sid) = session.id {
let _ = self
.db
.pentest_sessions()
.update_one(
doc! { "_id": sid },
doc! { "$set": {
"status": "completed",
"completed_at": mongodb::bson::DateTime::now(),
"tool_invocations": total_tool_calls as i64,
"tool_successes": total_successes as i64,
"findings_count": total_findings as i64,
}},
)
.await;
}
let _ = self.event_tx.send(PentestEvent::Complete {
summary: format!(
"Pentest complete. {} findings from {} tool invocations.",
total_findings, total_tool_calls
),
});
Ok(())
}
// ── Code-Awareness: Gather context from linked repo ─────────
/// Fetch SAST findings, SBOM entries (with CVEs), and code graph entry points
/// for the repo linked to this DAST target.
async fn gather_repo_context(
&self,
target: &DastTarget,
) -> (Vec<Finding>, Vec<SbomEntry>, Vec<CodeContextHint>) {
let Some(repo_id) = &target.repo_id else {
return (Vec::new(), Vec::new(), Vec::new());
};
let sast_findings = self.fetch_sast_findings(repo_id).await;
let sbom_entries = self.fetch_vulnerable_sbom(repo_id).await;
let code_context = self.fetch_code_context(repo_id, &sast_findings).await;
tracing::info!(
repo_id,
sast_findings = sast_findings.len(),
vulnerable_deps = sbom_entries.len(),
code_hints = code_context.len(),
"Gathered code-awareness context for pentest"
);
(sast_findings, sbom_entries, code_context)
}
/// Fetch open/triaged SAST findings for the repo (not false positives or resolved)
async fn fetch_sast_findings(&self, repo_id: &str) -> Vec<Finding> {
let cursor = self
.db
.findings()
.find(doc! {
"repo_id": repo_id,
"status": { "$in": ["open", "triaged"] },
})
.sort(doc! { "severity": -1 })
.limit(100)
.await;
match cursor {
Ok(mut c) => {
let mut results = Vec::new();
while let Some(Ok(f)) = c.next().await {
results.push(f);
}
results
}
Err(e) => {
tracing::warn!("Failed to fetch SAST findings for pentest: {e}");
Vec::new()
}
}
}
/// Fetch SBOM entries that have known vulnerabilities
async fn fetch_vulnerable_sbom(&self, repo_id: &str) -> Vec<SbomEntry> {
let cursor = self
.db
.sbom_entries()
.find(doc! {
"repo_id": repo_id,
"known_vulnerabilities": { "$exists": true, "$ne": [] },
})
.limit(50)
.await;
match cursor {
Ok(mut c) => {
let mut results = Vec::new();
while let Some(Ok(e)) = c.next().await {
results.push(e);
}
results
}
Err(e) => {
tracing::warn!("Failed to fetch vulnerable SBOM entries: {e}");
Vec::new()
}
}
}
/// Build CodeContextHint objects from the code knowledge graph.
/// Maps entry points to their source files and links SAST findings.
async fn fetch_code_context(
&self,
repo_id: &str,
sast_findings: &[Finding],
) -> Vec<CodeContextHint> {
// Get entry point nodes from the code graph
let cursor = self
.db
.graph_nodes()
.find(doc! {
"repo_id": repo_id,
"is_entry_point": true,
})
.limit(50)
.await;
let nodes = match cursor {
Ok(mut c) => {
let mut results = Vec::new();
while let Some(Ok(n)) = c.next().await {
results.push(n);
}
results
}
Err(_) => return Vec::new(),
};
// Build hints by matching graph nodes to SAST findings by file path
nodes
.into_iter()
.map(|node| {
// Find SAST findings in the same file
let linked_vulns: Vec<String> = sast_findings
.iter()
.filter(|f| {
f.file_path.as_deref() == Some(&node.file_path)
})
.map(|f| {
format!(
"[{}] {}: {} (line {})",
f.severity,
f.scanner,
f.title,
f.line_number.unwrap_or(0)
)
})
.collect();
CodeContextHint {
endpoint_pattern: node.qualified_name.clone(),
handler_function: node.name.clone(),
file_path: node.file_path.clone(),
code_snippet: String::new(), // Could fetch from embeddings
known_vulnerabilities: linked_vulns,
}
})
.collect()
}
// ── System Prompt Builder ───────────────────────────────────
async fn build_system_prompt(
&self,
session: &PentestSession,
target: &DastTarget,
sast_findings: &[Finding],
sbom_entries: &[SbomEntry],
code_context: &[CodeContextHint],
) -> String {
let tool_names = self.tool_registry.list_names().join(", ");
let strategy_guidance = match session.strategy {
PentestStrategy::Quick => {
"Focus on the most common and impactful vulnerabilities. Run a quick recon, then target the highest-risk areas."
}
PentestStrategy::Comprehensive => {
"Perform a thorough assessment covering all vulnerability types. Start with recon, then systematically test each attack surface."
}
PentestStrategy::Targeted => {
"Focus specifically on areas highlighted by SAST findings and known CVEs. Prioritize exploiting known weaknesses."
}
PentestStrategy::Aggressive => {
"Use all available tools aggressively. Test with maximum payloads and attempt full exploitation."
}
PentestStrategy::Stealth => {
"Minimize noise. Use fewer requests, avoid aggressive payloads. Focus on passive analysis and targeted probes."
}
};
// Build SAST findings section
let sast_section = if sast_findings.is_empty() {
String::from("No SAST findings available for this target.")
} else {
let critical = sast_findings
.iter()
.filter(|f| f.severity == Severity::Critical)
.count();
let high = sast_findings
.iter()
.filter(|f| f.severity == Severity::High)
.count();
let mut section = format!(
"{} open findings ({} critical, {} high):\n",
sast_findings.len(),
critical,
high
);
// List the most important findings (critical/high first, up to 20)
for f in sast_findings.iter().take(20) {
let file_info = f
.file_path
.as_ref()
.map(|p| {
format!(
" in {}:{}",
p,
f.line_number.unwrap_or(0)
)
})
.unwrap_or_default();
let status_note = match f.status {
FindingStatus::Triaged => " [TRIAGED]",
_ => "",
};
section.push_str(&format!(
"- [{sev}] {title}{file}{status}\n",
sev = f.severity,
title = f.title,
file = file_info,
status = status_note,
));
if let Some(cwe) = &f.cwe {
section.push_str(&format!(" CWE: {cwe}\n"));
}
}
if sast_findings.len() > 20 {
section.push_str(&format!(
"... and {} more findings\n",
sast_findings.len() - 20
));
}
section
};
// Build SBOM/CVE section
let sbom_section = if sbom_entries.is_empty() {
String::from("No vulnerable dependencies identified.")
} else {
let mut section = format!(
"{} dependencies with known vulnerabilities:\n",
sbom_entries.len()
);
for entry in sbom_entries.iter().take(15) {
let cve_ids: Vec<&str> = entry
.known_vulnerabilities
.iter()
.map(|v| v.id.as_str())
.collect();
section.push_str(&format!(
"- {} {} ({}): {}\n",
entry.name,
entry.version,
entry.package_manager,
cve_ids.join(", ")
));
}
if sbom_entries.len() > 15 {
section.push_str(&format!(
"... and {} more vulnerable dependencies\n",
sbom_entries.len() - 15
));
}
section
};
// Build code context section
let code_section = if code_context.is_empty() {
String::from("No code knowledge graph available for this target.")
} else {
let with_vulns = code_context
.iter()
.filter(|c| !c.known_vulnerabilities.is_empty())
.count();
let mut section = format!(
"{} entry points identified ({} with linked SAST findings):\n",
code_context.len(),
with_vulns
);
for hint in code_context.iter().take(20) {
section.push_str(&format!(
"- {} ({})\n",
hint.endpoint_pattern, hint.file_path
));
for vuln in &hint.known_vulnerabilities {
section.push_str(&format!(" SAST: {vuln}\n"));
}
}
section
};
format!(
r#"You are an expert penetration tester conducting an authorized security assessment.
## Target
- **Name**: {target_name}
- **URL**: {base_url}
- **Type**: {target_type}
- **Rate Limit**: {rate_limit} req/s
- **Destructive Tests Allowed**: {allow_destructive}
- **Linked Repository**: {repo_linked}
## Strategy
{strategy_guidance}
## SAST Findings (Static Analysis)
{sast_section}
## Vulnerable Dependencies (SBOM)
{sbom_section}
## Code Entry Points (Knowledge Graph)
{code_section}
## Available Tools
{tool_names}
## Instructions
1. Start by running reconnaissance (recon tool) to fingerprint the target and discover technologies.
2. Run the OpenAPI parser to discover API endpoints from specs.
3. Check infrastructure: DNS, DMARC, TLS, security headers, cookies, CSP, CORS.
4. Based on SAST findings, prioritize testing endpoints where vulnerabilities were found in code.
5. For each vulnerability type found in SAST, use the corresponding DAST tool to verify exploitability.
6. If vulnerable dependencies are listed, try to trigger known CVE conditions against the running application.
7. Test rate limiting on critical endpoints (login, API).
8. Check for console.log leakage in frontend JavaScript.
9. Analyze tool results and chain findings — if one vulnerability enables others, explore the chain.
10. When testing is complete, provide a structured summary with severity and remediation.
11. Always explain your reasoning before invoking each tool.
12. When done, say "Testing complete" followed by a final summary.
## Important
- This is an authorized penetration test. All testing is permitted within the target scope.
- Respect the rate limit of {rate_limit} requests per second.
- Only use destructive tests if explicitly allowed ({allow_destructive}).
- Use SAST findings to guide your testing — they tell you WHERE in the code vulnerabilities exist.
- Use SBOM data to understand what technologies and versions the target runs.
"#,
target_name = target.name,
base_url = target.base_url,
target_type = target.target_type,
rate_limit = target.rate_limit,
allow_destructive = target.allow_destructive,
repo_linked = target.repo_id.as_deref().unwrap_or("None"),
)
}
}

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