Version: 3.2.0
Document Type: Technical Implementation Guide
Audience: C/Rust developers implementing v3.2 modules
- Stealth Module (C)
- Adaptive Engine (C)
- Rust Analysis Engine
- Metrics Engine (C)
- Distributed Components
- Plugin System (C)
- Integration Points
src/core/stealth/
├── stealth_base.c # Core steal profiles (v3.0 compatible)
├── stealth_fragmentation.c # NEW: Packet fragmentation
├── stealth_decoys.c # NEW: Decoy host simulation
├── stealth_adaptive.c # NEW: Adaptive timing jitter
├── stealth_ratelimit.c # NEW: Rate-limit detection & backoff
└── stealth_custom.c # NEW: Custom profile blending/* Fragmentation randomization strategies */
typedef enum {
FRAG_SIZE_FIXED = 0, // Constant size (standard)
FRAG_SIZE_RANDOM_20 = 1, // Vary ±20%
FRAG_SIZE_RANDOM_50 = 2 // Vary ±50% (very suspicious)
} fragmentation_strategy_t;
/* Decoy placement patterns */
typedef enum {
DECOY_RANDOM = 0, // Intersperse randomly
DECOY_ROUND_ROBIN = 1, // Cycle through decoys
DECOY_CLUSTERED = 2 // Group decoys, then real targets
} decoy_pattern_t;
/* Jitter distribution algorithms */
typedef enum {
JITTER_UNIFORM = 0, // Equal probability (0-max)
JITTER_EXPONENTIAL = 1, // Bias toward lower values
JITTER_POISSON = 2 // Point process (realistic traffic)
} jitter_distribution_t;
/* Rate-limit detection algorithms */
typedef enum {
RATELIMIT_NONE = 0, // Disabled
RATELIMIT_TIMEOUT_SPIKE = 1, // Detect RTT increase
RATELIMIT_ERROR_RATE = 2, // Detect error percentage
RATELIMIT_COMBINED = 3 // Both methods
} ratelimit_detection_t;typedef struct {
uint8_t enabled;
uint16_t fragment_size; // 20-1500 bytes
fragmentation_strategy_t strategy;
uint32_t inter_fragment_delay_us;
uint8_t randomize_fragment_order; // Send fragments out of order
uint8_t randomize_port_per_fragment; // Each fragment from different port
// Statistics
uint64_t fragments_sent;
uint64_t original_packets_fragmented;
} fragmentation_config_t;
/* Fragment tracking in connection structure */
typedef struct {
uint8_t *fragments[64]; // Up to 64 fragments per packet
uint32_t fragment_lens[64];
uint8_t fragment_order[64]; // Actual transmission order
uint32_t fragment_count;
uint64_t last_fragment_sent_us;
} fragment_tracker_t;typedef struct {
char **decoy_ips;
uint32_t decoy_count;
decoy_pattern_t pattern;
uint8_t decoy_ratio; // 0-100: % real targets
uint32_t decoy_cycle_position; // For round-robin
// Decoy generation
uint8_t generate_spoofed_macs;
mac_address_t spoofed_mac; // When enabled
// Statistics
uint64_t decoy_packets_sent;
uint64_t real_packets_sent;
} decoy_config_t;
/* Decoy host context */
typedef struct {
uint32_t decoy_index;
uint64_t decoy_last_used_us;
uint8_t is_decoy; // Boolean flag
} decoy_context_t;typedef struct {
jitter_distribution_t distribution;
float jitter_coefficient; // 0.0-1.0
uint32_t base_delay_us;
// Adaptive state
float current_multiplier;
uint32_t adjustment_count;
// RTT-aware adaptation
uint64_t observed_min_rtt_us;
uint64_t observed_avg_rtt_us;
uint64_t rtt_history[256]; // Circular buffer
uint32_t rtt_history_idx;
// Timeout tracking
uint32_t timeout_count;
uint32_t consecutive_timeouts;
uint64_t last_timeout_time_us;
} adaptive_timing_t;
/* Generate jitter using configured distribution */
uint32_t stealth_generate_jitter(
stealth_config_v32_t *config,
uint32_t base_delay_us
);
uint32_t stealth_jitter_uniform(uint32_t max_us);
uint32_t stealth_jitter_exponential(uint32_t max_us);
uint32_t stealth_jitter_poisson(uint32_t lambda_us);typedef struct {
ratelimit_detection_t enabled;
uint32_t measurement_window_ms;
float error_rate_threshold; // 0.0-1.0 (e.g., 0.3 = 30%)
float rtt_increase_threshold; // 2.0 = 200% increase triggers backoff
uint32_t samples_for_detection; // How many failures to detect
// Backoff state
float current_backoff_multiplier;
uint32_t consecutive_backoff_activations;
uint64_t last_detection_time_us;
int is_rate_limited; // Current state
} rate_limit_detection_t;
int stealth_detect_rate_limit(
stealth_config_v32_t *config,
uint64_t recent_rtt_us,
uint8_t recent_success
);
uint32_t stealth_get_backoff_delay_ms(
stealth_config_v32_t *config
);int stealth_fragment_packet(
stealth_config_v32_t *config,
const uint8_t *packet,
uint32_t packet_len,
fragment_tracker_t *tracker
) {
if (!config->fragmentation.enabled || packet_len < 100) {
return 0; // Don't fragment small packets
}
uint16_t frag_size = config->fragmentation.fragment_size;
// Apply size randomization
if (config->fragmentation.strategy == FRAG_SIZE_RANDOM_20) {
frag_size += (rand() % (frag_size / 5)) - (frag_size / 10);
} else if (config->fragmentation.strategy == FRAG_SIZE_RANDOM_50) {
frag_size += (rand() % frag_size) - (frag_size / 2);
}
// Split packet into fragments
uint32_t offset = 0;
uint32_t frag_count = 0;
while (offset < packet_len && frag_count < 64) {
uint32_t chunk_len = MIN(frag_size, packet_len - offset);
tracker->fragments[frag_count] = malloc(chunk_len);
memcpy(tracker->fragments[frag_count], packet + offset, chunk_len);
tracker->fragment_lens[frag_count] = chunk_len;
// Original order
tracker->fragment_order[frag_count] = frag_count;
offset += chunk_len;
frag_count++;
}
// Randomize transmission order (optional)
if (config->fragmentation.enabled > 1) {
fisher_yates_shuffle(tracker->fragment_order, frag_count);
}
tracker->fragment_count = frag_count;
return 0;
}
int stealth_send_fragments(
stealth_config_v32_t *config,
int sock,
fragment_tracker_t *tracker
) {
for (uint32_t i = 0; i < tracker->fragment_count; i++) {
uint32_t order_idx = tracker->fragment_order[i];
send(sock,
tracker->fragments[order_idx],
tracker->fragment_lens[order_idx],
0);
// Inter-fragment delay
usleep(config->fragmentation.inter_fragment_delay_us);
config->fragmentation.fragments_sent++;
}
return 0;
}int stealth_select_target_with_decoy(
stealth_config_v32_t *config,
const char **target_ips,
uint32_t target_count,
const char **decoy_ips,
uint32_t decoy_count,
char *selected_ip
) {
// Determine if we're sending to decoy or real target
uint8_t use_decoy = (rand() % 100) >= config->decoys.decoy_ratio;
if (use_decoy && decoy_count > 0) {
// Select decoy based on pattern
uint32_t idx;
if (config->decoys.pattern == DECOY_ROUND_ROBIN) {
idx = config->decoys.decoy_cycle_position % decoy_count;
config->decoys.decoy_cycle_position++;
} else {
idx = rand() % decoy_count;
}
strcpy(selected_ip, decoy_ips[idx]);
config->decoys.decoy_packets_sent++;
return 1; // Decoy flag
} else {
// Select real target
uint32_t idx = rand() % target_count;
strcpy(selected_ip, target_ips[idx]);
config->decoys.real_packets_sent++;
return 0; // Real flag
}
}src/core/adaptive/
├── adaptive_engine.c # Core adaptive logic
├── adaptive_feedback.c # Network feedback collection
├── adaptive_metrics.c # Measurement tracking
└── adaptive_adjustment.c # Parameter adjustment logic#ifndef BLACKMAP3_ADAPTIVE_H
#define BLACKMAP3_ADAPTIVE_H
#include <stdint.h>
#include "network.h"
typedef enum {
ADAPT_PHASE_INITIAL = 0,
ADAPT_PHASE_ANALYSIS = 1,
ADAPT_PHASE_ADJUSTMENT = 2,
ADAPT_PHASE_MONITORING = 3
} adaptation_phase_t;
typedef struct {
// Concurrency adaptation
uint32_t base_global_concurrency;
uint32_t current_global_concurrency;
uint32_t min_global_concurrency;
uint32_t max_global_concurrency;
float rtt_variance_for_increase; // 0.1 = 10% stddev signals increase
float error_rate_for_decrease; // 0.05 = 5% error triggers decrease
float increase_multiplier; // 1.2x increase
float decrease_multiplier; // 0.7x decrease
} concurrency_adaptation_t;
typedef struct {
// Timeout adaptation
uint32_t base_timeout_ms;
uint32_t current_timeout_ms;
uint32_t min_timeout_ms;
uint32_t max_timeout_ms;
float rtt_safety_margin; // 1.5x observed RTT
} timeout_adaptation_t;
typedef struct {
// Retry adaptation
uint32_t base_retries;
uint32_t current_retries;
uint32_t max_retries;
uint8_t enable_exponential_backoff;
float backoff_base; // 2.0 for doubling
} retry_adaptation_t;
typedef struct {
// Network measurements
uint64_t *rtt_samples; // Ring buffer of recent RTTs
uint32_t rtt_sample_count;
uint32_t rtt_sample_capacity;
uint32_t rtt_sample_idx;
// Statistics
uint64_t rtt_min_us;
uint64_t rtt_max_us;
uint64_t rtt_avg_us;
uint32_t rtt_stddev_us;
// Loss tracking
uint32_t total_attempted;
uint32_t total_succeeded;
uint32_t total_timed_out;
uint32_t total_errors;
float packet_loss_rate;
// Timeouts
uint32_t consecutive_timeouts;
uint64_t last_success_time_us;
uint64_t last_timeout_time_us;
} network_feedback_t;
typedef struct {
adaptation_phase_t phase;
uint64_t phase_start_time_us;
uint32_t measurements_in_phase;
concurrency_adaptation_t concurrency;
timeout_adaptation_t timeout;
retry_adaptation_t retry;
network_feedback_t feedback;
// Decision logging
char last_decision[256];
uint32_t decision_count;
uint64_t last_adjustment_time_us;
uint32_t adjustment_count;
} adaptive_engine_t;
/* Initialization */
adaptive_engine_t* adaptive_engine_init(
uint32_t base_concurrency,
uint32_t base_timeout_ms,
uint32_t base_retries
);
/* Feedback collection */
void adaptive_engine_record_measurement(
adaptive_engine_t *ae,
uint64_t rtt_us,
uint8_t success
);
void adaptive_engine_record_timeout(
adaptive_engine_t *ae
);
/* Analysis & adjustment */
typedef struct {
uint32_t recommended_concurrency;
uint32_t recommended_timeout_ms;
uint32_t recommended_retries;
uint8_t should_enable_backoff;
char reasoning[512];
} adaptation_recommendation_t;
adaptation_recommendation_t adaptive_engine_analyze(
adaptive_engine_t *ae
);
int adaptive_engine_apply_recommendations(
adaptive_engine_t *ae,
const adaptation_recommendation_t *rec
);
/* State query */
void adaptive_engine_get_stats(
adaptive_engine_t *ae,
network_feedback_t *feedback
);
/* Cleanup */
void adaptive_engine_free(adaptive_engine_t *ae);
#endifadaptation_recommendation_t adaptive_engine_analyze(
adaptive_engine_t *ae
) {
adaptation_recommendation_t rec = {
.recommended_concurrency = ae->concurrency.current_global_concurrency,
.recommended_timeout_ms = ae->timeout.current_timeout_ms,
.recommended_retries = ae->retry.current_retries,
.should_enable_backoff = 0
};
network_feedback_t *fb = &ae->feedback;
// Require minimum measurements before analysis
if (fb->rtt_sample_count < 20) {
strcpy(rec.reasoning, "Insufficient samples for analysis");
return rec;
}
// Compute statistics
adaptive_compute_rtt_stats(ae);
// Rule 1: Detect network stability
float rtt_cv = (float)fb->rtt_stddev_us / fb->rtt_avg_us;
if (rtt_cv < 0.1) {
// Network is very stable, increase concurrency
rec.recommended_concurrency = MIN(
ae->concurrency.current_global_concurrency * 1.2,
ae->concurrency.max_global_concurrency
);
snprintf(rec.reasoning, sizeof(rec.reasoning),
"Network stable (CV=%.2f), increasing concurrency", rtt_cv);
} else if (rtt_cv > 0.5) {
// Network is unstable, decrease concurrency
rec.recommended_concurrency = MAX(
ae->concurrency.current_global_concurrency * 0.7,
ae->concurrency.min_global_concurrency
);
snprintf(rec.reasoning, sizeof(rec.reasoning),
"Network unstable (CV=%.2f), decreasing concurrency", rtt_cv);
}
// Rule 2: Packet loss detection
if (fb->packet_loss_rate > 0.05) {
// Increase timeout and reduce concurrency
rec.recommended_timeout_ms = MIN(
ae->timeout.current_timeout_ms * 1.3,
ae->timeout.max_timeout_ms
);
rec.recommended_concurrency = MAX(
ae->concurrency.current_global_concurrency * 0.8,
ae->concurrency.min_global_concurrency
);
snprintf(rec.reasoning, sizeof(rec.reasoning),
"Packet loss detected (%.1f%%), backing off",
fb->packet_loss_rate * 100.0);
}
// Rule 3: Timeout spike detection
if (fb->consecutive_timeouts > 3) {
rec.should_enable_backoff = 1;
rec.recommended_timeout_ms = MIN(
ae->timeout.current_timeout_ms * 1.5,
ae->timeout.max_timeout_ms
);
snprintf(rec.reasoning, sizeof(rec.reasoning),
"Consecutive timeouts detected (%u), enabling backoff",
fb->consecutive_timeouts);
}
return rec;
}rust/src/
├── lib.rs # Main FFI boundary
├── fingerprint/
│ ├── mod.rs
│ ├── http.rs # HTTP/HTTPS detection
│ ├── ssh.rs # SSH detection
│ ├── database.rs # Database services
│ ├── mail.rs # SMTP/Mail services
│ └── misc.rs # Other services
├── database/
│ ├── mod.rs
│ ├── loader.rs # TOML/JSON loading
│ └── service_db.rs # Database management
├── plugins/
│ ├── mod.rs
│ └── loader.rs # Plugin system
└── metrics.rs # Performance tracking// rust/src/fingerprint/http.rs
use regex::Regex;
use lazy_static::lazy_static;
lazy_static! {
static ref APACHE_VERSION: Regex =
Regex::new(r"Apache/(\d+\.\d+\.\d+[a-zA-Z0-9]*)").unwrap();
static ref NGINX_VERSION: Regex =
Regex::new(r"nginx/(\d+\.\d+\.\d+[a-zA-Z0-9]*)").unwrap();
static ref IIS_VERSION: Regex =
Regex::new(r"IIS/(\d+\.\d+)").unwrap();
static ref HTTP_SERVER_HEADER: Regex =
Regex::new(r"Server:\s*([^\r\n]+)").unwrap();
static ref PHP_DETECTION: Regex =
Regex::new(r"X-Powered-By:\s*PHP/([0-9.]+)").unwrap();
}
pub struct HttpDetector;
impl HttpDetector {
pub fn detect(banner: &[u8], port: u16) -> Option<ServiceFingerprint> {
let banner_str = String::from_utf8_lossy(banner);
// Check if HTTP
if !banner_str.contains("HTTP/") {
return None;
}
// Extract server header
let server_header = HTTP_SERVER_HEADER
.captures(&banner_str)
.and_then(|c| c.get(1))
.map(|m| m.as_str());
let (product, version, mut confidence) = match server_header {
Some(srv) => {
if APACHE_VERSION.is_match(srv) {
let ver = APACHE_VERSION
.captures(srv)
.and_then(|c| c.get(1))
.map(|m| m.as_str().to_string());
("Apache HTTP Server".to_string(), ver, 95)
} else if NGINX_VERSION.is_match(srv) {
let ver = NGINX_VERSION
.captures(srv)
.and_then(|c| c.get(1))
.map(|m| m.as_str().to_string());
("nginx".to_string(), ver, 95)
} else if IIS_VERSION.is_match(srv) {
let ver = IIS_VERSION
.captures(srv)
.and_then(|c| c.get(1))
.map(|m| m.as_str().to_string());
("Microsoft IIS".to_string(), ver, 90)
} else {
(srv.to_string(), None, 50)
}
}
None => ("HTTP Server".to_string(), None, 60)
};
// Detect technology stack
let mut metadata = std::collections::HashMap::new();
if let Some(php_match) = PHP_DETECTION.captures(&banner_str) {
if let Some(php_ver) = php_match.get(1) {
metadata.insert("php_version".to_string(), php_ver.as_str().to_string());
confidence += 10;
}
}
Some(ServiceFingerprint {
service: "HTTP".to_string(),
product,
version,
confidence: (confidence as u8).min(100),
detected_via: "banner_match".to_string(),
metadata,
cpe: generate_cpe("apache", product, version),
os_info: None,
})
}
}
fn generate_cpe(vendor: &str, product: &str, version: Option<String>) -> Option<String> {
match (&product, &version) {
(_, Some(v)) => Some(format!("cpe:/a:{}:{}:{}", vendor, product, v)),
_ => None
}
}// rust/src/fingerprint/ssh.rs
pub struct SshDetector;
impl SshDetector {
pub fn detect(banner: &[u8], port: u16) -> Option<ServiceFingerprint> {
let banner_str = String::from_utf8_lossy(banner);
// SSH banner format: SSH-2.0-OpenSSH_7.4p1 ...
if !banner_str.starts_with("SSH-") {
return None;
}
let mut metadata = std::collections::HashMap::new();
let mut confidence = 99u8;
let mut product = "Unknown SSH".to_string();
let mut version = None;
// Parse SSH banner
let parts: Vec<&str> = banner_str.split('-').collect();
if parts.len() >= 3 {
let impl_str = parts[2].trim();
if impl_str.starts_with("OpenSSH_") {
product = "OpenSSH".to_string();
let ver_part = impl_str.strip_prefix("OpenSSH_").unwrap();
version = Some(ver_part.to_string());
// Check for known vulnerability patterns
if ver_part.starts_with("7.4p1") {
metadata.insert("known_issues".to_string(),
"CVE-2018-15473".to_string());
}
} else if impl_str.contains("libssh") {
product = "libssh".to_string();
confidence = 85;
}
metadata.insert("raw_implementation".to_string(), impl_str.to_string());
}
Some(ServiceFingerprint {
service: "SSH".to_string(),
product,
version,
confidence,
detected_via: "banner_match".to_string(),
metadata,
cpe: None,
os_info: None,
})
}
}// rust/src/database/loader.rs
use toml::Value;
use std::fs;
use std::collections::HashMap;
pub struct FingerprintDatabase {
services: HashMap<String, ServiceDefinition>,
}
pub struct ServiceDefinition {
name: String,
port: u16,
patterns: Vec<Pattern>,
heuristics: Vec<Heuristic>,
}
pub struct Pattern {
pattern_type: String, // "banner", "header", "status"
regex: Regex,
extract_version: bool,
confidence_boost: u8,
}
pub struct Heuristic {
rule: String,
confidence_boost: u8,
}
impl FingerprintDatabase {
pub fn load_toml(path: &str) -> Result<Self, String> {
let contents = fs::read_to_string(path)
.map_err(|e| format!("Failed to read file: {}", e))?;
let value: Value = toml::from_str(&contents)
.map_err(|e| format!("TOML parse error: {}", e))?;
let mut db = FingerprintDatabase {
services: HashMap::new(),
};
// Parse services
if let Some(services_table) = value.get("services").and_then(|v| v.as_table()) {
for (service_name, service_data) in services_table {
if let Ok(defs) = Self::parse_service_definitions(
service_name,
service_data
) {
for def in defs {
db.services.insert(
format!("{}:{}", service_name, def.port),
def
);
}
}
}
}
Ok(db)
}
fn parse_service_definitions(
name: &str,
data: &Value
) -> Result<Vec<ServiceDefinition>, String> {
let mut defs = Vec::new();
// Handle array of service definitions
if let Some(arr) = data.as_array() {
for item in arr {
defs.push(Self::parse_single_definition(name, item)?);
}
} else {
defs.push(Self::parse_single_definition(name, data)?);
}
Ok(defs)
}
pub fn match_banner(
&self,
banner: &[u8],
port: u16
) -> Vec<ServiceFingerprint> {
let mut results = Vec::new();
// Try to match against all known services for this port
for (_, service_def) in self.services.iter() {
if service_def.port == port {
for pattern in &service_def.patterns {
if let Ok(banner_str) = std::str::from_utf8(banner) {
if pattern.regex.is_match(banner_str) {
// Match found, build result
let fp = ServiceFingerprint {
service: service_def.name.clone(),
product: service_def.name.clone(),
version: if pattern.extract_version {
pattern.regex.captures(banner_str)
.and_then(|c| c.get(1))
.map(|m| m.as_str().to_string())
} else {
None
},
confidence: (50 + pattern.confidence_boost).min(100),
detected_via: "database_match".to_string(),
metadata: Default::default(),
cpe: None,
os_info: None,
};
results.push(fp);
}
}
}
}
}
results
}
}src/metrics/
├── metrics_engine.c # Core metrics collection
├── metrics_time_series.c # Time-series sampling
├── metrics_export.c # Export formats (JSON, SQLite, Prometheus)
└── metrics_query.c # Metrics querying API#ifndef BLACKMAP3_METRICS_H
#define BLACKMAP3_METRICS_H
#include <stdint.h>
#include <time.h>
/* ====== Per-Connection Metrics ====== */
typedef struct {
uint32_t connection_id;
char target_ip[46];
uint16_t target_port;
uint64_t connect_start_us;
uint64_t connect_end_us;
uint64_t rtt_us;
uint8_t final_state; // OPEN, CLOSED, FILTERED, TIMEOUT
uint32_t bytes_sent;
uint32_t bytes_received;
uint32_t retry_count;
char banner[4096];
uint32_t banner_len;
} connection_metric_t;
/* ====== Port-Level Aggregates ====== */
typedef struct {
uint16_t port;
// Latency distribution
uint64_t *rtt_samples; // Ring buffer for percentiles
uint32_t sample_count;
uint64_t rtt_min_us;
uint64_t rtt_p50_us, rtt_p90_us, rtt_p99_us;
uint64_t rtt_max_us;
// State counters
uint32_t open_count;
uint32_t closed_count;
uint32_t filtered_count;
uint32_t timeout_count;
// Service detection
service_fingerprint_c_t main_service;
float confidence_avg;
} port_metric_t;
/* ====== Service-Level Aggregates ====== */
typedef struct {
char service_name[128];
char product[256];
uint32_t instances_detected;
// Version distribution
char **detected_versions;
uint32_t **version_counts;
uint32_t version_count;
// Vulnerability tracking
uint32_t cve_list_count;
char **cves;
float avg_cvss_score;
} service_metric_t;
/* ====== Time-Series Sample ====== */
typedef struct {
uint64_t sample_start_us;
uint64_t sample_end_us;
uint32_t active_connections;
uint32_t connections_completed;
float throughput_pps;
float avg_rtt_ms;
float packet_loss_percent;
uint32_t timeout_events;
} time_series_sample_t;
typedef struct {
time_series_sample_t *samples; // Circular buffer
uint32_t sample_count;
uint32_t max_samples; // Typically 3600
uint32_t current_idx;
uint32_t sample_interval_ms;
} time_series_metrics_t;
/* ====== Scan Summary ====== */
typedef struct {
uint64_t scan_start_us;
uint64_t scan_end_us;
uint32_t targets_scanned;
uint32_t total_ports_scanned;
uint32_t total_connections_attempted;
uint32_t total_connections_open;
float throughput_pps;
float avg_connection_duration_us;
float peak_concurrent;
uint32_t total_timeouts;
uint32_t total_retries;
float success_rate;
uint32_t unique_services;
float avg_detection_confidence;
} scan_summary_t;
/* ====== Metrics Engine ====== */
typedef struct {
// Connection-level
connection_metric_t *connections;
uint32_t connection_count;
uint32_t max_connections;
// Port-level
port_metric_t *port_metrics;
uint32_t port_count;
// Service-level
service_metric_t *service_metrics;
uint32_t service_count;
// Time-series
time_series_metrics_t time_series;
// Scan summary
scan_summary_t summary;
// Sampling
uint32_t sample_interval_ms;
uint64_t last_sample_time_us;
} metrics_engine_t;
/* ====== API ====== */
metrics_engine_t* metrics_engine_init(uint32_t sample_interval_ms);
void metrics_record_connection(
metrics_engine_t *me,
const connection_metric_t *metric
);
void metrics_record_port_result(
metrics_engine_t *me,
uint16_t port,
uint32_t state,
uint64_t rtt_us
);
void metrics_record_service_detection(
metrics_engine_t *me,
const char *service,
const char *version
);
void metrics_sample_time_series(
metrics_engine_t *me,
uint32_t active_conns,
uint32_t completed,
float throughput_pps
);
void metrics_finalize_scan(metrics_engine_t *me);
/* Export */
char* metrics_export_json(metrics_engine_t *me);
int metrics_export_sqlite(metrics_engine_t *me, const char *db_path);
char* metrics_export_prometheus(metrics_engine_t *me);
/* Querying */
port_metric_t* metrics_get_port(metrics_engine_t *me, uint16_t port);
service_metric_t* metrics_get_service(metrics_engine_t *me, const char *name);
void metrics_engine_free(metrics_engine_t *me);
#endif#include "distributed.h"
#include <stdio.h>
#include <pthread.h>
distributed_controller_t* distributed_controller_init(
const char **agent_endpoints,
uint32_t agent_count
) {
distributed_controller_t *ctrl = malloc(sizeof(*ctrl));
ctrl->agent_endpoints = malloc(agent_count * sizeof(char*));
for (uint32_t i = 0; i < agent_count; i++) {
ctrl->agent_endpoints[i] = strdup(agent_endpoints[i]);
}
ctrl->agent_count = agent_count;
ctrl->max_tasks_per_agent = 1000;
ctrl->task_queue = task_queue_create(100000);
ctrl->results = malloc(sizeof(completed_result_t) * 100000);
ctrl->result_count = 0;
ctrl->agent_statuses = malloc(agent_count * sizeof(agent_status_t));
for (uint32_t i = 0; i < agent_count; i++) {
ctrl->agent_statuses[i].agent_id = i;
ctrl->agent_statuses[i].tasks_assigned = 0;
ctrl->agent_statuses[i].is_healthy = 1;
}
return ctrl;
}
int distributed_controller_distribute_tasks(
distributed_controller_t *ctrl,
const task_t *tasks,
uint32_t task_count
) {
// Distribute tasks evenly across agents
uint32_t tasks_per_agent = task_count / ctrl->agent_count;
uint32_t remainder = task_count % ctrl->agent_count;
uint32_t task_idx = 0;
for (uint32_t agent_id = 0; agent_id < ctrl->agent_count; agent_id++) {
uint32_t agent_task_count = tasks_per_agent +
(agent_id < remainder ? 1 : 0);
// Build task batch JSON
char batch_json[1024 * 1024];
distributed_build_task_batch_json(
batch_json,
sizeof(batch_json),
tasks + task_idx,
agent_task_count,
agent_id
);
// Send to agent via JSON-RPC
distributed_send_task_batch(
ctrl->agent_endpoints[agent_id],
batch_json
);
ctrl->agent_statuses[agent_id].tasks_assigned += agent_task_count;
task_idx += agent_task_count;
}
return 0;
}#include "plugin.h"
#include <dlfcn.h>
#include <stdio.h>
plugin_manager_t* plugin_manager_init(void) {
plugin_manager_t *pm = malloc(sizeof(*pm));
pm->plugins = malloc(32 * sizeof(loaded_plugin_t));
pm->plugin_count = 0;
return pm;
}
int plugin_manager_load(
plugin_manager_t *pm,
const char *plugin_path
) {
if (pm->plugin_count >= 32) {
fprintf(stderr, "Maximum plugins loaded\n");
return -1;
}
// Load manifest first
char manifest_path[512];
snprintf(manifest_path, sizeof(manifest_path), "%s.json", plugin_path);
// Parse JSON manifest (use simple parser or jsmn)
plugin_metadata_t metadata;
if (parse_plugin_manifest(manifest_path, &metadata) != 0) {
return -1;
}
// dlopen the plugin library
void *handle = dlopen(plugin_path, RTLD_LAZY);
if (!handle) {
fprintf(stderr, "Failed to load plugin: %s\n", dlerror());
return -1;
}
// Load entry point function
plugin_init_fn init_fn = dlsym(handle, metadata.entry_point);
if (!init_fn) {
fprintf(stderr, "Failed to find entry point: %s\n", metadata.entry_point);
dlclose(handle);
return -1;
}
// Initialize plugin
if (init_fn() != 0) {
fprintf(stderr, "Plugin initialization failed\n");
dlclose(handle);
return -1;
}
// Register plugin
loaded_plugin_t *loaded = &pm->plugins[pm->plugin_count];
loaded->handle = handle;
loaded->plugin_type = metadata.type;
strcpy(loaded->plugin_path, plugin_path);
pm->plugin_count++;
printf("Loaded plugin: %s (type=%d)\n", metadata.name, metadata.type);
return 0;
}
void plugin_manager_free(plugin_manager_t *pm) {
for (uint32_t i = 0; i < pm->plugin_count; i++) {
dlclose(pm->plugins[i].handle);
}
free(pm->plugins);
free(pm);
}// File: src/core/blackmap.c (updated)
int blackmap_scan_v32(blackmap_t *bm) {
// 1. Initialize all v3.2 components
stealth_config_v32_t *stealth = stealth_config_v32_init(bm->config.stealth);
adaptive_engine_t *adaptive = adaptive_engine_init(256, 5000, 2);
metrics_engine_t *metrics = metrics_engine_init(100);
plugin_manager_t *plugins = plugin_manager_init();
// Load plugins
for (uint32_t i = 0; i < bm->config.plugin_count; i++) {
plugin_manager_load(plugins, bm->config.plugin_paths[i]);
}
// 2. Generate scan plan
task_t *tasks = blackmap_generate_plan(bm->config.target_ips,
bm->config.target_count,
bm->config.ports,
bm->config.port_count);
// 3. Load adaptive engine baseline
uint32_t measurement_phase = 50; // First 50 measurements
// 4. Main event loop (epoll or io_uring)
while (task_queue_has_pending(bm->scheduler)) {
// 4a. Get next task
task_t *task = scheduler_next_task(bm->scheduler);
if (!task) break;
// 4b. Apply stealth delays
uint32_t delay_us = stealth_get_pre_connect_delay_us(stealth);
usleep(delay_us);
// 4c. Execute connection
int sock = network_queue_connection(bm->net_engine, task);
// 4d. Process network events
connection_t *conn = network_process_batch(bm->net_engine, 5000);
// 4e. Record metrics
metrics_record_connection(metrics, /* ... */);
adaptive_engine_record_measurement(adaptive, conn->rtt_us,
conn->state == OPEN);
// 4f. Adaptive analysis (every 100 tasks)
if (adaptive->feedback.rtt_sample_count % 100 == 0) {
adaptation_recommendation_t rec = adaptive_engine_analyze(adaptive);
adaptive_engine_apply_recommendations(adaptive, &rec);
// Update stealth timing if needed
stealth->max_global_concurrency = rec.recommended_concurrency;
stealth->timeout_ms = rec.recommended_timeout_ms;
}
// 4g. Banner analysis (Rust FFI)
service_fingerprint_c_t *fp = analysis_fingerprint_banner(
(uint8_t*)conn->banner,
conn->banner_len,
task->port
);
// 4h. Plugin hook
if (bm->config.enable_plugins) {
plugin_manager_execute_probes(plugins, sock,
(uint8_t*)conn->banner,
conn->banner_len, fp);
}
// 4i. Record service detection
metrics_record_service_detection(metrics, fp->service, fp->version);
// 4j. Time-series sampling
metrics_sample_time_series(metrics,
network_get_active_connections(bm->net_engine),
bm->scheduler->completed_count,
network_get_throughput_pps(bm->net_engine));
// Clean up
analysis_free_fingerprint(fp);
scheduler_mark_complete(bm->scheduler, task->id);
}
// 5. Finalize and export
metrics_finalize_scan(metrics);
char *json_results = metrics_export_json(metrics);
printf("%s\n", json_results);
if (bm->config.export_metrics_sqlite) {
metrics_export_sqlite(metrics, bm->config.sqlite_path);
}
// 6. Cleanup
stealth_config_free(stealth);
adaptive_engine_free(adaptive);
metrics_engine_free(metrics);
plugin_manager_free(plugins);
free(json_results);
return 0;
}Phase 1 (Weeks 1-2):
- Stealth module (fragmentation, decoys, adaptive timing)
- CLI updates for new stealth options
- Testing harness
Phase 2 (Weeks 3-4):
- Adaptive Engine (feedback collection, analysis, adjustments)
- Integration with stealth system
- Metrics tracking
Phase 3 (Weeks 5-6):
- Rust fingerprinting enhancements (30+ services, TOML loading)
- FFI boundary updates
- Service detection testing
Phase 4 (Weeks 7-8):
- metrics export (JSON, SQLite, Prometheus)
- Plugin system framework
- Distributed architecture (basic)
Phase 5 (Weeks 9-10):
- io_uring backend
- Performance tuning
- Comprehensive documentation