SAST Platform Β· Actively detecting threats

Find Vulnerabilities
Before Attackers Do.

A static application security testing platform that detects SQL Injection, XSS, and insecure coding patterns using AST analysis, taint tracking, and risk scoring β€” before code ships.

AST AnalysisTaint TrackingRisk ScoringPHP / Laravel
remedicode β€” scan ./src β€” 3 vulnerabilities found
$wvs scan ./src --format=json --depth=full
Engine Initializing AST parser…
Engine Parsing 148 PHP files across 12 directories
Taint Building taint graph: 23 source β†’ sink paths
────── ───────────────────────────────────
CRITICALUserController.php:48 β€” SQL Injection (Unsanitized)
$id = $_GET['id']; DB::raw("WHERE id=$id")
HIGH search.php:112 β€” Reflected XSS (innerHTML)
INFO api/routes.php:77 β€” Taint flow: GET β†’ echo without encode
────── ───────────────────────────────────
Scan complete Β· 3 vulnerabilities found Β· 148 files Β· 2.4s
Findings
SQL Injection
UserController.php:48 Β· AST + Taint
10 / 10
Critical
Reflected XSS
search.php:112 Β· Regex + Taint
7 / 10
High
Taint Flow
api/routes.php:77 Β· Taint Tracking
4 / 10
Medium
Confidence Score
94%
Precision Β· 0 false negatives

Three layers of
vulnerability intelligence

Not just pattern matching. A hybrid engine that understands your code's data flow, structure, and intent.

🌳
AST Analysis

Parses source code into an Abstract Syntax Tree to understand code structure beyond text patterns β€” catching vulnerabilities that regex alone misses.

STRUCTURAL
⚑
Taint Tracking

Follows untrusted data from entry points (GET, POST, headers) through your codebase to sensitive sinks β€” mapping the exact exploitation path.

DATAFLOW
🎯
Risk Scoring

Every finding is ranked by severity (1–10), confidence, and exploitability β€” so teams fix what matters first, not what's easiest.

PRIORITIZATION
πŸ”
Regex Detection

High-performance pattern ruleset for known vulnerability signatures. JSON-configurable rulesets for SQLi, XSS, and custom patterns.

PATTERN MATCHING
πŸ“‹
Remediation Guidance

Each finding includes a technical explanation, secure code alternatives, and implementation examples β€” education built into the scan report.

EDUCATIONAL
πŸ—‚οΈ
File-Context Filter

Laravel-aware file routing excludes migrations, configs, and routes from application-level rules β€” eliminating false positives at the source.

PRECISION

From source to
security report

Five deterministic stages. No black boxes. Full transparency into how each finding was reached.

1
Source Code
PHP / Laravel input
2
AST Parser
Syntax tree construction
3
Detection Engine
Taint + AST + Regex
4
Risk Analysis
CVSS-style scoring
5
Remediation
Actionable fixes

See the vulnerability.
Apply the fix.

Every finding ships with a before/after comparison. Understand the attack vector, then ship the secure version.

Vulnerable β€” UserController.php
CRITICAL
// Line 46-50
function getUser(Request $req) {
$id = $req->input('id');
$user = DB::select(
"SELECT * FROM users WHERE id=$id"
);
return response()->json($user);
}
⚠️SQL Injection β€” User input flows directly into raw SQL. An attacker can inject arbitrary SQL with id=1 OR 1=1 to dump the full users table.
Remediated β€” UserController.php
FIXED
// Line 46-50 β€” parameterized query
function getUser(Request $req) {
$id = $req->input('id');
$user = DB::select(
"SELECT * FROM users WHERE id = ?",
[$id]
);
return response()->json($user);
}
βœ…Parameterized query β€” The query structure is fixed at compile time. User input is treated as data, never as SQL code. Injection is impossible.

Track your codebase
security score

Designed for students, developers, and universities. Watch your security posture improve as you apply remediations.

Security Analysis β€” Project Academy Β· Laravel Academic SystemScanned Jun 13, 2026 Β· 148 files
Vulnerability distribution by type
SQL Injection
17
Reflected XSS
12
Taint Flow
7
After Fixes
3
Precision improvement after optimization
Before
7%
β†’
After
67%
Precision
94%↑ +87%
Recall
87%
F1 Score
91%
Files Scanned
148
SCAN COMPLETE
3 critical issues require immediate remediation. 2 high severity issues detected.
94%
Detection Precision
Synthetic dataset testing
87%
Recall Rate
True positives captured
2.4s
Avg. Scan Time
148-file Laravel codebase
2+
Vulnerability Types
SQLi Β· XSS Β· Taint flows

Why RemediCode

Built specifically for PHP and Laravel codebases. Not a generic linter β€” a purpose-built SAST engine.

CapabilityRemediCodeGeneric LintersDAST Scanners
AST-based analysisβœ“~βœ—
Taint trackingβœ“βœ—~
Laravel-aware filteringβœ“βœ—βœ—
Risk scoring (1–10)βœ“~βœ“
Before/after remediationβœ“βœ—βœ—
No runtime requiredβœ“βœ“βœ—
Educational guidanceβœ“βœ—βœ—

Follow the complete workflow

From account registration to vulnerability remediation and rescanning.

1
Register Account

Register Account

Create a new account to access the RemediCode dashboard and security analysis features.

2
Login

Login

Sign in using your registered credentials to access your scans and reports.

3
Upload Source Code

Upload Source Code

Upload the PHP or Laravel project you want to analyze for security vulnerabilities.

4
Upload Completed

Upload Completed

Verify that the upload process has completed successfully before starting the scan.

5
View Scan List

View Scan List

Access all previously uploaded scans from your dashboard.

6
Open Scan Details

Open Scan Details

Open a scan report to review detected vulnerabilities and security findings.

7
Analyze Vulnerability Details

Analyze Vulnerability Details

Review affected files, severity levels, risk scores, and remediation recommendations.

8
Perform Rescan

Perform Rescan

After applying fixes, initiate a rescan to validate security improvements.

9
Review Rescan Results

Review Rescan Results

Compare the latest scan results with previous findings.

10
Verify Remediation

Verify Remediation

Inspect the detailed rescan report to ensure vulnerabilities have been resolved.

Common Questions

How does the scanner work?
The scanner combines AST analysis, taint tracking, and rule-based detection to identify vulnerable code patterns. It parses source code into an Abstract Syntax Tree, tracks untrusted data flow from sources to sinks, and flags patterns that match known vulnerability signatures β€” all before deployment.
What vulnerabilities can be detected?
Current detection focuses on SQL Injection, Cross-Site Scripting (XSS), and insecure coding patterns commonly found in web applications. The ruleset is aligned with OWASP Top 10 vulnerability classifications.
Who is this platform for?
Developers, students, educators, and security researchers who want to improve secure coding practices and understand application security risks through practical, code-level analysis.

Build More Secure
Applications.

Analyze your codebase, understand security weaknesses, and receive actionable recommendations before deployment.