CVE-2026-32735

openapi-to-java-records-mustache-templates allows users to generate Java Records from OpenAPI specifications.

Verified by Precogs Threat Research
Last Updated: Mar 19, 2026
Base Score
0UNKNOWN

Executive Summary

CVE-2026-32735 is a unknown severity vulnerability affecting ai-code. It is classified as CWE-20. Ensure your systems and dependencies are patched immediately to mitigate exposure risks.

Precogs AI Insight

"This security defect is primarily driven by within Openapi-, allowing an architectural oversight in input validation. When targeted, an adversary might use this to execute arbitrary code on the target system, potentially leading to full system compromise. The Precogs multi-engine scanning approach is specifically built to flag these architectural defects instantly."

Exploit Probability (EPSS)
Low (0.1%)
Public POC
Undisclosed
Exploit Probability
Low (<10%)
Public POC
Available
Affected Assets
ai codeCWE-20

What is this vulnerability?

CVE-2026-32735 is categorized as a critical Improper Input Validation flaw. Based on our vulnerability intelligence, this issue occurs when the application fails to securely handle untrusted data boundaries.

openapi-to-java-records-mustache-templates allows users to generate Java Records from OpenAPI specifications. Starting in version 5.1.1 and prior to versio...

This architectural defect enables adversaries to bypass intended security controls, directly manipulating the application's execution state or data layer. Immediate strategic intervention is required.

Risk Assessment

MetricValue
CVSS Base Score0 (UNKNOWN)
Vector StringN/A
PublishedMarch 18, 2026
Last ModifiedMarch 19, 2026
Related CWEsCWE-20

Impact on Systems

Chained Exploitation: Serves as the root cause enabling XSS, SQLi, and Command Injection attacks down the execution chain.

Business Logic Bypass: Manipulating unexpected inputs (e.g., negative integers for price amounts) subverts core business logic.

Denial of Service: Sending massively oversized or recursively complex inputs can exhaust CPU/Memory parsing limits.

How to fix this issue?

Implement the following strategic mitigations immediately to eliminate the attack surface.

1. Strict Allow-listing Define rigid, regex-based allow-lists for all input vectors, rejecting any data that does not conform to the expected length, type, and format.

2. Type Juggling Prevention Utilize strong static typing and strictly compare variable types before processing data structures.

3. API Gateway Defenses Deploy Web Application Firewalls (WAF) and central API Gateways to strip malformed payloads before they reach internal services.

Vulnerability Signature

// Improper Validation resulting in unexpected logic execution
function process_order(quantity) \{
    // VULNERABLE: No check if quantity is positive or an integer
    let total_price = quantity * 100.00;
    user_balance -= total_price; // Negative quantity INCREASES balance
\}

References and Sources

Vulnerability Code Signature

Attack Data Flow

StageDetail
SourceUntrusted User Input
VectorInput flows through the application logic without sanitization
SinkExecution or Rendering Sink
ImpactApplication compromise, Logic Bypass, Data Exfiltration

Vulnerable Code Pattern

# ❌ VULNERABLE: Unsanitized Input Flow
def process_request(request):
    user_input = request.GET.get('data')
    # Taint sink: processing untrusted data
    execute_logic(user_input)
    return {"status": "success"}

Secure Code Pattern

# ✅ SECURE: Input Validation & Sanitization
def process_request(request):
    user_input = request.GET.get('data')
    
    # Sanitized boundary check
    if not is_valid_format(user_input):
        raise ValueError("Invalid input format")
        
    sanitized_data = sanitize(user_input)
    execute_logic(sanitized_data)
    return {"status": "success"}

How Precogs Detects This

Precogs AI Analysis Engine maps untrusted input directly to execution sinks to catch complex application security vulnerabilities.\n

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Is your system affected?

Precogs AI detects CVE-2026-32735 in compiled binaries, LLMs, and application layers — even without source code access.