CVE-2026-6332

Executive Summary

CVE-2026-6332 is a vulnerability classified under CWE-312 (Cleartext Storage of Sensitive Information). The vulnerability allows an authorized attacker who has access to the source code (for editing or compiling) to discover sensitive information, potentially leading to the disclosure of protected source code and a loss of confidentiality. The core issue is that sensitive data is stored in cleartext within the source code or configuration files, making it accessible to anyone with read access to the codebase.

This vulnerability is particularly dangerous in DevSecOps pipelines where source code repositories may be shared among multiple developers, contractors, or automated systems. An attacker with legitimate access to the code (e.g., a disgruntled employee, compromised CI/CD pipeline, or third-party vendor) can extract secrets such as API keys, database credentials, encryption keys, or proprietary algorithms.

Supply Chain & Package Security

While this CVE does not specify a particular package ecosystem (NPM, PyPI, Go, Ruby), the nature of CWE-312 is highly relevant to supply chain security. If the vulnerable code is part of a package or library, any downstream consumer of that package would inherit the cleartext sensitive information. This could lead to widespread credential leakage across multiple organizations. Developers must ensure that secrets are never committed to source code repositories and are instead injected via environment variables or secret management services.

CVSS Breakdown & Threat Level

The CVSS score is listed as 0.0, which likely indicates that the score has not been officially assigned or is pending analysis. However, based on the description, the vulnerability would typically have a medium to high severity due to the potential for confidentiality loss.

Hypothetical CVSS Vector (if scored): CVSS:3.1/AV:L/AC:L/PR:H/UI:N/S:U/C:H/I:N/A:N

• Attack Vector (AV): Local (requires access to the source code)
• Attack Complexity (AC): Low (cleartext is easily readable)
• Privileges Required (PR): High (attacker needs authorized access to the code)
• User Interaction (UI): None
• Scope (S): Unchanged
• Confidentiality (C): High
• Integrity (I): None
• Availability (A): None

Threat Level: Medium to High, depending on the sensitivity of the exposed information.

Deep Dive & Mechanics

The vulnerability stems from the practice of storing sensitive information (e.g., passwords, tokens, API keys, encryption keys) in cleartext within source code files, configuration files, or environment files that are part of the codebase. This is a common anti-pattern in software development.

How it works:

1. A developer embeds a secret directly into the source code (e.g., const apiKey = "sk-1234567890abcdef";).
2. The code is committed to a version control system (e.g., Git).
3. An authorized attacker (someone with read access to the repository) views the source code.
4. The attacker extracts the cleartext secret.
5. The attacker uses the secret to access protected resources (e.g., cloud services, databases, third-party APIs).

Why it's dangerous:

• Persistence: Secrets in code are often hard-coded and remain in the repository history forever, even if later removed.
• Lateral Movement: The exposed secret may grant access to other systems, enabling further compromise.
• Supply Chain Impact: If the code is part of a library, all downstream users are affected.

Vulnerable vs. Patched Code

Since no specific patch or version is provided, we illustrate the vulnerable pattern and the secure alternative.

Vulnerable Code (Cleartext Storage):

// config.js
const dbPassword = "SuperSecret123!";
const apiKey = "AIzaSyD-abc123def456";

Patched Code (Using Environment Variables):

// config.js
const dbPassword = process.env.DB_PASSWORD;
const apiKey = process.env.API_KEY;

Additional Secure Practices:

• Use a secrets manager (e.g., HashiCorp Vault, AWS Secrets Manager).
• Use environment variables or .env files that are not committed to version control.
• Implement pre-commit hooks to scan for secrets (e.g., git-secrets, truffleHog).

Exploitation & Lab Setup

Red Team (Attacker)

Objective: Extract cleartext sensitive information from a source code repository.

Prerequisites:

• Read access to the target repository (e.g., GitHub, GitLab, Bitbucket).
• Basic knowledge of the codebase structure.

Steps:

1. Clone the repository:

   git clone https://github.com/target-org/vulnerable-repo.git
   cd vulnerable-repo
   

2. Search for common patterns of cleartext secrets:

   grep -r -E "(password|secret|api_key|token|credential)" --include="*.{js,py,json,yaml,env}" .
   

3. Use automated tools like truffleHog or git-secrets to scan the entire git history:

   trufflehog git https://github.com/target-org/vulnerable-repo.git
   

4. Extract and validate the discovered secrets (e.g., test an API key against the provider's endpoint).

Example Output:

Found: config.js:3: const apiKey = "AIzaSyD-abc123def456";
Found: .env:1: DB_PASSWORD=SuperSecret123!

Blue Team (Defender)

Objective: Detect and prevent cleartext secrets in the codebase.

Steps:

1. Implement pre-commit hooks to scan for secrets:

   # .git/hooks/pre-commit
   #!/bin/sh
   trufflehog --regex --entropy=False file://.
   

2. Use CI/CD pipeline scanners (e.g., GitHub Secret Scanning, GitLab Secret Detection).
3. Rotate any exposed secrets immediately.
4. Educate developers on secure coding practices.

Indicators of Compromise (IOCs)

• File Patterns:

  • Files containing hardcoded credentials (e.g., password, secret, api_key, token).
  • .env files committed to version control.
  • Configuration files with inline secrets (e.g., config.json, settings.py).

• Behavioral IOCs:

  • Unusual access to source code repositories by non-developer accounts.
  • Large number of clones or forks of a repository.
  • Automated scanning tools (e.g., truffleHog) detected in network logs.

• Network IOCs:

  • Outbound connections to cloud provider APIs using stolen keys.
  • Unauthorized access to databases or services using exposed credentials.

Detection Engineering

YARA Rule

rule Cleartext_Sensitive_Information {
    meta:
        description = "Detects cleartext storage of sensitive information in source code"
        author = "Valters IT"
        date = "2026-01-01"
        cve = "CVE-2026-6332"
    strings:
        $password = /(password|passwd|pwd)\s*[:=]\s*["'][^"']+["']/ nocase
        $secret = /(secret|api_key|apikey|token|credential)\s*[:=]\s*["'][^"']+["']/ nocase
        $env_file = ".env"
    condition:
        any of ($password, $secret) or $env_file
}

Sigma Rule

title: Cleartext Sensitive Information in Source Code
id: 12345678-1234-1234-1234-123456789012
status: experimental
description: Detects potential cleartext storage of sensitive information in source code files
author: Valters IT
date: 2026/01/01
tags:
    - cve.2026.6332
    - cwe.312
logsource:
    category: file_event
    product: windows
detection:
    selection:
        EventID: 11  # FileCreate
        TargetFilename|contains:
            - '.env'
            - 'config.json'
            - 'settings.py'
        TargetFilename|contains:
            - 'password'
            - 'secret'
            - 'token'
    condition: selection
falsepositives:
    - Legitimate use of environment variables in .env files (if not committed)
level: medium

Suricata Rule

alert tcp $HOME_NET any -> $EXTERNAL_NET $HTTP_PORTS (msg:"CVE-2026-6332 - Potential Cleartext Secret Exfiltration"; flow:to_server,established; content:"password"; nocase; content:"api_key"; nocase; distance:0; within:100; classtype:attempted-recon; sid:1000001; rev:1;)

Remediation & Mitigation

1. Immediate Actions:

   • Rotate all credentials that may have been exposed.
   • Remove cleartext secrets from the codebase and git history (use git filter-branch or BFG Repo-Cleaner).
   • Implement secret scanning in CI/CD pipelines.

2. Long-term Fixes:

   • Use environment variables or a secrets manager (e.g., HashiCorp Vault, AWS Secrets Manager).
   • Enforce code review policies to catch hardcoded secrets.
   • Educate developers on secure coding practices.

3. Detection:

   • Deploy YARA/Sigma rules to monitor for cleartext secrets.
   • Enable GitHub Secret Scanning or GitLab Secret Detection.

4. Patch Status:

   • Since no official patch is available, the fix must be implemented by the development team.

Valters IT
Securing the Digital Frontier