feat(report): SARIF 2.1.0 export + stronger cross-object reference mining (v4.2.1)

- new sarif module: projects findings to SARIF 2.1.0 (rules deduped by CWE,
  security-severity from graded CVSS, endpoint locations, OWASP/MITRE tags)
- report::write_all/rebuild now emit report.sarif alongside md/json/html/pdf
- `neurosploit sarif <run> [--out]` re-emits on demand; exposed over MCP
- assurance: report.sarif added to the known-artifacts manifest
- chaining doctrine: harvest every object identifier (ids/UUIDs/tokens/emails)
  into a reference pool and substitute across identities/endpoints — the core
  of reliable BOLA/IDOR/mass-assignment discovery
- version 4.2.1; 389 tests passing

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>

README.md

@@ -1,4 +1,4 @@
-<h1 align="center">🧠 NeuroSploit v4.2.0</h1>
+<h1 align="center">🧠 NeuroSploit v4.2.1</h1>
 
 <p align="center">
   <a href="https://github.com/JoasASantos/NeuroSploit/stargazers"><img src="https://img.shields.io/github/stars/JoasASantos/NeuroSploit?style=for-the-badge&logo=github&color=8b5cf6" alt="Stars"></a>
@@ -8,7 +8,7 @@
 </p>
 
 <p align="center">
-  <img src="https://img.shields.io/badge/Version-4.2.0-blue?style=flat-square">
+  <img src="https://img.shields.io/badge/Version-4.2.1-blue?style=flat-square">
   <img src="https://img.shields.io/badge/Harness-Rust%20%7C%20tokio-e6b673?style=flat-square">
   <img src="https://img.shields.io/badge/License-MIT-green?style=flat-square">
   <img src="https://img.shields.io/badge/MD%20Agents-458-red?style=flat-square">
@@ -52,6 +52,15 @@ Control TUI**.
 
 ### Highlights
 
+> **New in v4.2.1** — **SARIF 2.1.0 export**: every run now writes `report.sarif`
+> next to the Markdown/JSON/HTML/PDF, and `neurosploit sarif <run>` (re)emits it
+> on demand, so findings drop straight into GitHub / Azure DevOps code-scanning
+> as severity-coloured, CWE-linked alerts (also exposed over MCP). Plus stronger
+> **cross-object reference mining** in the chaining loop — the engine harvests
+> every object identifier it sees (ids, UUIDs, tokens, emails) into a reference
+> pool and substitutes them across identities and endpoints, the core of
+> reliable BOLA / IDOR / mass-assignment discovery.
+
 > **New in v4.2.0** — **binary / APK / IPA testing**: a new `mobile` mode analyses
 > a local artifact with 12 reverse-engineering skills (static binary triage,
 > APK/IPA static analysis, RASP & anti-tamper mapping, root/jailbreak, TLS
@@ -741,6 +750,13 @@ a `.http` file:
 neurosploit traffic <run>     # flows.jsonl -> traffic.http
 ```
 
+Every run also writes `report.sarif` (SARIF 2.1.0); re-emit it any time for CI
+code-scanning:
+
+```bash
+neurosploit sarif <run>       # findings -> report.sarif (GitHub/Azure code-scanning)
+```
+
 ---
 
 ## 🔌 Run it as an MCP server
@@ -761,8 +777,8 @@ and authorization are identical to the CLI. See TUTORIAL section 8.
 
 ## 📊 How we compare
 
-A rough, honest capability benchmark against Strix, Shannon, Penligent and the
+A rough, honest capability benchmark against Shannon, Penligent and other
-other open-source agents — including where NeuroSploit is **behind** (no
+open-source agents — including where NeuroSploit is **behind** (no
 container isolation, no real intercepting proxy, no published benchmark run) —
 lives in **[BENCHMARK.md](BENCHMARK.md)**.
 
@@ -958,6 +974,7 @@ Every run writes a self-contained folder `runs/ns-<ts>-<target>/`:
 | `exploitation.md` | raw per-agent transcript |
 | `findings.json` / `findings.md` | validated findings (reuse by other tools/AIs) |
 | `report.html`, `report.typ`, `report.pdf` | final report (PDF via the Typst engine) |
+| `report.sarif` | SARIF 2.1.0 results for CI code-scanning ingestion |
 
 A reinforcement-learning reward store (`data/rl_state_rs.json`) biases agent
 selection on future runs.

neurosploit-rs/Cargo.lock

@@ -929,7 +929,7 @@ dependencies = [
 
 [[package]]
 name = "neurosploit"
-version = "4.2.0"
+version = "4.2.1"
 dependencies = [
  "anyhow",
  "clap",
@@ -946,7 +946,7 @@ dependencies = [
 
 [[package]]
 name = "neurosploit-harness"
-version = "4.2.0"
+version = "4.2.1"
 dependencies = [
  "anyhow",
  "base64",

neurosploit-rs/Cargo.toml

@@ -3,7 +3,7 @@ members = ["crates/harness", "app"]
 resolver = "2"
 
 [workspace.package]
-version = "4.2.0"
+version = "4.2.1"
 edition = "2021"
 license = "MIT"
 repository = "https://github.com/JoasASantos/NeuroSploit"

neurosploit-rs/app/src/main.rs

@@ -203,6 +203,15 @@ enum Cmd {
         /// Run id or path.
         run: String,
     },
+    /// Emit SARIF 2.1.0 for a finished run so CI code-scanning (GitHub, Azure
+    /// DevOps) can ingest the findings as annotated, severity-coloured alerts.
+    Sarif {
+        /// Run id (`ns-…`) or a path to the run directory.
+        run: String,
+        /// Write to this path instead of the run's `report.sarif`.
+        #[arg(long = "out")]
+        out: Option<String>,
+    },
     /// Verify a finished run's audit trail — the hash chain and, with --anchor,
     /// the signed anchors that catch truncation and silent rebuilds.
     Audit {
@@ -808,6 +817,7 @@ async fn main() -> anyhow::Result<()> {
         }
         Cmd::Audit { run, anchor } => handle_audit(&base, &run, anchor)?,
         Cmd::Traffic { run } => handle_traffic(&base, &run)?,
+        Cmd::Sarif { run, out } => handle_sarif(&base, &run, out.as_deref())?,
         Cmd::Assurance { run, verify } => handle_assurance(&base, &run, verify)?,
         Cmd::Compliance { run, framework, include_leads } => handle_compliance(&base, &run, &framework, include_leads)?,
         Cmd::Poc { run, repeats, apply } => handle_poc(&base, &run, repeats, apply).await?,
@@ -1657,6 +1667,21 @@ fn handle_traffic(base: &std::path::Path, run: &str) -> anyhow::Result<()> {
     Ok(())
 }
 
+fn handle_sarif(base: &std::path::Path, run: &str, out: Option<&str>) -> anyhow::Result<()> {
+    let dir = resolve_run(base, run)?;
+    let findings = load_findings(&dir)?;
+    let target = std::fs::read_to_string(dir.join("meta.json"))
+        .ok()
+        .and_then(|t| serde_json::from_str::<serde_json::Value>(&t).ok())
+        .and_then(|v| v.get("target").and_then(|x| x.as_str()).map(String::from))
+        .unwrap_or_else(|| run.to_string());
+    let doc = harness::sarif::to_string(&target, &findings);
+    let dest = out.map(std::path::PathBuf::from).unwrap_or_else(|| dir.join("report.sarif"));
+    std::fs::write(&dest, doc)?;
+    println!("  {} finding(s) -> SARIF 2.1.0 at {}", findings.len(), dest.display());
+    Ok(())
+}
+
 fn handle_audit(base: &std::path::Path, run: &str, anchor: bool) -> anyhow::Result<()> {
     let dir = resolve_run(base, run)?;
     let log = harness::audit::AuditLog::open(dir.join("audit.jsonl"));

neurosploit-rs/app/src/mcp.rs

@@ -99,6 +99,7 @@ fn tool_list() -> Value {
         { "name": "neurosploit_findings", "description": "Read a finished run's findings as JSON.", "inputSchema": { "type": "object", "properties": { "run": { "type": "string", "description": "Run id or path" } }, "required": ["run"] } },
         { "name": "neurosploit_report", "description": "Read a finished run's Markdown report.", "inputSchema": { "type": "object", "properties": { "run": { "type": "string" } }, "required": ["run"] } },
         { "name": "neurosploit_rebuild", "description": "Rebuild a run's report artifacts from its findings (no model calls).", "inputSchema": { "type": "object", "properties": { "run": { "type": "string" } }, "required": ["run"] } },
+        { "name": "neurosploit_sarif", "description": "Emit SARIF 2.1.0 for a finished run (report.sarif) so CI code-scanning can ingest the findings.", "inputSchema": { "type": "object", "properties": { "run": { "type": "string" } }, "required": ["run"] } },
         { "name": "neurosploit_internal", "description": "Internal-network / Active Directory attack-graph analysis: paths to crown jewels and the choke point to fix first.", "inputSchema": { "type": "object", "properties": { "graph": { "type": "string", "description": "Path to a graph JSON" }, "scaffold": { "type": "string", "description": "Domain to scaffold, e.g. corp.local" }, "from": { "type": "string", "description": "Foothold node id" } } } },
         { "name": "neurosploit_compliance", "description": "Map a finished run's findings onto PCI-DSS, HIPAA or SOC 2 controls.", "inputSchema": { "type": "object", "properties": { "run": { "type": "string" }, "framework": { "type": "string", "enum": ["pci-dss","hipaa","soc2"] } }, "required": ["run"] } },
         { "name": "neurosploit_container", "description": "Scan an OCI container image (repo:tag / tar / Dockerfile) for vulnerable packages, secrets, misconfig and emit an SBOM.", "inputSchema": { "type": "object", "properties": { "image": { "type": "string" }, "model": { "type": "string" }, "subscription": { "type": "boolean" } }, "required": ["image"] } }
@@ -138,6 +139,7 @@ fn handle_call(id: Option<Value>, req: &Value, exe: &std::path::Path) -> Value {
             return read_run_file(id, &run, "report.md");
         }
         "neurosploit_rebuild" => { let Some(run) = s("run") else { return tool_err(id, "run is required") }; argv.push("rebuild".into()); argv.push(run); }
+        "neurosploit_sarif" => { let Some(run) = s("run") else { return tool_err(id, "run is required") }; argv.push("sarif".into()); argv.push(run); }
         "neurosploit_internal" => {
             argv.push("internal".into());
             if let Some(g) = s("graph") { argv.push("--graph".into()); argv.push(g); }

neurosploit-rs/crates/harness/src/assurance.rs

@@ -86,6 +86,7 @@ const KNOWN: &[(&str, &str)] = &[
     ("flows.jsonl", "intercepted request/response flows"),
     ("meta.json", "target metadata"),
     ("coverage.md", "what was tested and what was not"),
+    ("report.sarif", "SARIF 2.1.0 results for CI code-scanning ingestion"),
 ];
 
 fn hash_file(path: &Path) -> Option<(String, u64)> {

neurosploit-rs/crates/harness/src/lib.rs

@@ -43,6 +43,7 @@ pub mod replay;
 pub mod report;
 pub mod rl;
 pub mod sandbox;
+pub mod sarif;
 pub mod scope;
 pub mod taint;
 pub mod transport;

neurosploit-rs/crates/harness/src/pipeline.rs

@@ -607,6 +607,7 @@ const CHAIN_DOCTRINE: &str = "CHAIN THE FOOTHOLD (pivot to deeper, provable impa
   · A param that lands in a redirect/`Location` header → ALSO test CRLF/header injection on the SAME param (`%0d%0aX-Injected: pwned`, `%0d%0aSet-Cookie:`): an open redirect and response splitting share the sink, so never stop at the redirect.\n\
 - Second-order & preconditions: a payload you STORE (profile/bio/name/review/filename) may only fire on a DIFFERENT page, often a privileged one (e.g. an admin search). Plant the payload, then TRIGGER it from every identity you hold; if the trigger page needs a role you lack, FIRST look for a privesc/IDOR/mass-assign to reach it, and if none exists, report the second-order as a CHAINED lead (payload stored + trigger located, blocked only by authorization) rather than dropping it.\n\
 - Reuse loot relentlessly: every credential/JWT/cookie/API key/host you obtain is input to the next step — carry it forward across modules and try it everywhere it might be accepted.\n\
+- Mine object references (this is the BOLA/IDOR engine): from EVERY response harvest each object identifier you see — numeric ids, UUIDs, order/invoice/document/ticket numbers, account/customer ids, filenames, emails, and any signed/opaque token — into a reference pool. Then systematically SUBSTITUTE another principal's identifier into every request that accepts one (path segment, query param, JSON field, header, cookie) and diff the response against your own: another user's data returned under your session IS the proof. Do this ACROSS identities — register/hold ≥2 accounts and cross them — and across endpoints, because an id leaked on one route (a list/search/export) is often the key to an object on another (a detail/update/delete route). Enumerate sequential ids sparingly (a small benign sample, never a mass scrape) to show the pattern, then stop at proof.\n\
 - Understand the BUSINESS & LOGIC: reason about what the app is FOR (payments, orders, tenancy, KYC, entitlements) and chain toward business impact — payment/price/coupon abuse, cross-tenant data access, entitlement/limit bypass, workflow/state-machine skips (skip approval/verification steps), race conditions on balance/stock. These compound: each finding updates your model of the app for the next probe.\n\
 - Stop at proof: demonstrate the impact with the SMALLEST safe step and report the CHAIN end-to-end; never destroy, overwrite, encrypt, mass-exfiltrate, or DoS to 'prove' it.\n\n";
 
@@ -2558,7 +2559,7 @@ async fn finish(cfg: RunConfig, _lib: &Library, pool: &ModelPool, recon: String,
         let _ = tx.send(n).await;
     }
 
-    // Coverage report (Strix-style): what was tested, how, and what was NOT —
+    // Coverage report: what was tested, how, and what was NOT —
     // so a reader can see the engagement's reach, not just its findings.
     write_coverage(&cfg, &selected, &findings);
     let artifacts = persist(&cfg, &recon, &transcript, &findings);

neurosploit-rs/crates/harness/src/report.rs

@@ -810,6 +810,7 @@ pub fn write_all(target: &str, findings: &[Finding], dir: &Path) -> std::io::Res
     md.push_str(&pocs_section(dir));
     std::fs::write(dir.join("report.md"), md)?;
     std::fs::write(dir.join("report.json"), json_report(target, findings, &run_id, &meta))?;
+    std::fs::write(dir.join("report.sarif"), crate::sarif::to_string(target, findings))?;
     let pocs: Vec<String> = std::fs::read_dir(dir.join("pocs"))
         .map(|rd| rd.filter_map(|e| e.ok()).map(|e| e.file_name().to_string_lossy().to_string()).collect())
         .unwrap_or_default();

neurosploit-rs/crates/harness/src/sarif.rs

@@ -0,0 +1,248 @@
+//! SARIF 2.1.0 export for a finished run.
+//!
+//! SARIF (Static Analysis Results Interchange Format) is the format GitHub code
+//! scanning, Azure DevOps, and most CI dashboards ingest. Emitting it next to
+//! `report.md` lets a NeuroSploit run drop straight into a pipeline: upload
+//! `report.sarif` and every finding shows up as an annotated alert, coloured by
+//! severity, linked to its CWE, on the exact endpoint it was proven against.
+//!
+//! This is a pure projection of the findings already on disk — no model calls,
+//! no fabrication. It is emitted by [`crate::report::write_all`] and rebuilt by
+//! [`crate::report::rebuild`], and can be regenerated on demand from the CLI.
+//!
+//! We follow the parts of the spec CI actually consumes:
+//!   - one `run` with a `tool.driver` carrying a de-duplicated `rules` array,
+//!   - `security-severity` (0.0..10.0) on each rule, which GitHub uses to bucket
+//!     the alert into critical/high/medium/low,
+//!   - one `result` per finding with `ruleId`, `level`, a message, and a
+//!     physical location pointing at the endpoint.
+
+use crate::types::Finding;
+use serde_json::{json, Value};
+use std::collections::BTreeMap;
+
+const SCHEMA: &str = "https://raw.githubusercontent.com/oasis-tcs/sarif-spec/master/Schemata/sarif-schema-2.1.0.json";
+
+/// SARIF result level. GitHub renders error/warning/note distinctly.
+fn level_for(severity: &str) -> &'static str {
+    match severity.trim().to_ascii_lowercase().as_str() {
+        "critical" | "high" => "error",
+        "medium" => "warning",
+        "low" => "note",
+        _ => "none",
+    }
+}
+
+/// Numeric CVSS base score parsed from the leading float of the `cvss` field
+/// (e.g. "9.8 (AV:N/AC:L/...)" -> 9.8). Falls back to a severity-band midpoint
+/// so GitHub still buckets the alert when no vector was graded.
+fn security_severity(f: &Finding) -> String {
+    let parsed = f
+        .cvss
+        .trim()
+        .split(|c: char| !(c.is_ascii_digit() || c == '.'))
+        .find(|t| !t.is_empty())
+        .and_then(|t| t.parse::<f64>().ok())
+        .filter(|v| (0.0..=10.0).contains(v));
+    let score = parsed.unwrap_or_else(|| match f.severity.trim().to_ascii_lowercase().as_str() {
+        "critical" => 9.5,
+        "high" => 7.5,
+        "medium" => 5.0,
+        "low" => 2.5,
+        _ => 0.0,
+    });
+    format!("{score:.1}")
+}
+
+/// A stable rule id for a finding: prefer the CWE, else the agent class.
+fn rule_id(f: &Finding) -> String {
+    let cwe = f.cwe.trim();
+    if cwe.is_empty() {
+        let agent = f.agent.trim();
+        if agent.is_empty() { "NEUROSPLOIT.finding".to_string() } else { format!("NEUROSPLOIT.{agent}") }
+    } else if cwe.to_ascii_uppercase().starts_with("CWE-") {
+        cwe.to_ascii_uppercase()
+    } else {
+        format!("CWE-{cwe}")
+    }
+}
+
+/// Help URI for a CWE-style rule id (deep link to the MITRE entry).
+fn help_uri(rule_id: &str) -> Option<String> {
+    let num: String = rule_id.chars().filter(|c| c.is_ascii_digit()).collect();
+    if rule_id.starts_with("CWE-") && !num.is_empty() {
+        Some(format!("https://cwe.mitre.org/data/definitions/{num}.html"))
+    } else {
+        None
+    }
+}
+
+/// Build the full SARIF 2.1.0 document for a run's findings.
+pub fn to_sarif(target: &str, findings: &[Finding]) -> Value {
+    // De-duplicate rules by id; the first finding of each class defines the rule.
+    let mut rules: BTreeMap<String, Value> = BTreeMap::new();
+    for f in findings {
+        let id = rule_id(f);
+        rules.entry(id.clone()).or_insert_with(|| {
+            let mut rule = json!({
+                "id": id,
+                "name": if f.cwe.trim().is_empty() { f.agent.clone() } else { f.cwe.clone() },
+                "shortDescription": { "text": rule_short_desc(f) },
+                "defaultConfiguration": { "level": level_for(&f.severity) },
+                "properties": {
+                    "security-severity": security_severity(f),
+                    "tags": rule_tags(f),
+                }
+            });
+            if let Some(uri) = help_uri(&id) {
+                rule["helpUri"] = json!(uri);
+            }
+            rule
+        });
+    }
+
+    let results: Vec<Value> = findings.iter().map(|f| result_for(f)).collect();
+
+    json!({
+        "$schema": SCHEMA,
+        "version": "2.1.0",
+        "runs": [{
+            "tool": {
+                "driver": {
+                    "name": "NeuroSploit",
+                    "version": env!("CARGO_PKG_VERSION"),
+                    "informationUri": "https://github.com/CyberSecurityUP/neurosploit-rs",
+                    "rules": rules.into_values().collect::<Vec<_>>(),
+                }
+            },
+            "properties": { "target": target },
+            "results": results,
+        }]
+    })
+}
+
+fn rule_short_desc(f: &Finding) -> String {
+    if !f.cwe.trim().is_empty() {
+        f.title.clone()
+    } else {
+        format!("{} finding", f.agent)
+    }
+}
+
+/// Rule tags CI can facet on: OWASP + MITRE when known, plus "security".
+fn rule_tags(f: &Finding) -> Vec<String> {
+    let mut tags = vec!["security".to_string()];
+    if !f.owasp.trim().is_empty() { tags.push(f.owasp.clone()); }
+    if !f.mitre.trim().is_empty() { tags.push(f.mitre.clone()); }
+    tags
+}
+
+fn result_for(f: &Finding) -> Value {
+    // The endpoint is the closest thing to a physical location for a web
+    // finding; `location` (param/field/step) refines the message.
+    let uri = if f.endpoint.trim().is_empty() { "target".to_string() } else { f.endpoint.clone() };
+    let mut text = f.title.clone();
+    if !f.location.trim().is_empty() {
+        text.push_str(&format!(" — {}", f.location));
+    }
+    if !f.impact.trim().is_empty() {
+        text.push_str(&format!("\nImpact: {}", f.impact));
+    }
+
+    let mut props = json!({
+        "confidence": f.confidence,
+        "validated": f.validated,
+        "severity": f.severity,
+    });
+    if !f.cvss.trim().is_empty() { props["cvss"] = json!(f.cvss); }
+    if !f.owasp.trim().is_empty() { props["owasp"] = json!(f.owasp); }
+    if !f.mitre.trim().is_empty() { props["mitre"] = json!(f.mitre); }
+    if !f.review_status.trim().is_empty() { props["reviewStatus"] = json!(f.review_status); }
+
+    json!({
+        "ruleId": rule_id(f),
+        "level": level_for(&f.severity),
+        "message": { "text": text },
+        "locations": [{
+            "physicalLocation": {
+                "artifactLocation": { "uri": uri }
+            }
+        }],
+        "partialFingerprints": { "neurosploitFindingId": f.id },
+        "properties": props,
+    })
+}
+
+/// Serialize the SARIF document to pretty JSON.
+pub fn to_string(target: &str, findings: &[Finding]) -> String {
+    serde_json::to_string_pretty(&to_sarif(target, findings)).unwrap_or_else(|_| "{}".to_string())
+}
+
+#[cfg(test)]
+mod tests {
+    use super::*;
+
+    fn finding(sev: &str, cwe: &str, cvss: &str) -> Finding {
+        Finding {
+            id: "f1".into(),
+            agent: "web".into(),
+            title: "SQL injection".into(),
+            severity: sev.into(),
+            cwe: cwe.into(),
+            cvss: cvss.into(),
+            endpoint: "https://app.example.com/api/login".into(),
+            ..Default::default()
+        }
+    }
+
+    #[test]
+    fn levels_map_from_severity() {
+        assert_eq!(level_for("Critical"), "error");
+        assert_eq!(level_for("high"), "error");
+        assert_eq!(level_for("Medium"), "warning");
+        assert_eq!(level_for("Low"), "note");
+        assert_eq!(level_for("Info"), "none");
+    }
+
+    #[test]
+    fn cvss_score_parsed_from_vector_string() {
+        let f = finding("Critical", "CWE-89", "9.8 (AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H)");
+        assert_eq!(security_severity(&f), "9.8");
+    }
+
+    #[test]
+    fn cvss_falls_back_to_severity_band() {
+        let f = finding("High", "CWE-89", "");
+        assert_eq!(security_severity(&f), "7.5");
+    }
+
+    #[test]
+    fn rule_id_prefers_cwe() {
+        assert_eq!(rule_id(&finding("High", "CWE-89", "")), "CWE-89");
+        assert_eq!(rule_id(&finding("High", "89", "")), "CWE-89");
+        assert_eq!(rule_id(&finding("High", "", "")), "NEUROSPLOIT.web");
+    }
+
+    #[test]
+    fn help_uri_deep_links_cwe() {
+        assert_eq!(help_uri("CWE-89").as_deref(), Some("https://cwe.mitre.org/data/definitions/89.html"));
+        assert_eq!(help_uri("NEUROSPLOIT.web"), None);
+    }
+
+    #[test]
+    fn document_is_wellformed_and_dedupes_rules() {
+        let fs = vec![
+            finding("Critical", "CWE-89", "9.8"),
+            finding("High", "CWE-89", "8.1"),
+            finding("Medium", "CWE-79", "6.1"),
+        ];
+        let doc = to_sarif("https://app.example.com", &fs);
+        assert_eq!(doc["version"], "2.1.0");
+        let rules = doc["runs"][0]["tool"]["driver"]["rules"].as_array().unwrap();
+        assert_eq!(rules.len(), 2, "two distinct CWEs -> two rules");
+        let results = doc["runs"][0]["results"].as_array().unwrap();
+        assert_eq!(results.len(), 3);
+        assert_eq!(results[0]["ruleId"], "CWE-89");
+        assert_eq!(results[0]["level"], "error");
+    }
+}