CVE-2013-1443
Django Denial of Service Vulnerability in the authentication framework
Executive Summary
CVE-2013-1443 is a critical severity vulnerability affecting pii-secrets. It is classified as an undisclosed flaw. Ensure your systems and dependencies are patched immediately to mitigate exposure risks.
Precogs AI Insight
"The defect is inherently caused by within The authentication framework (django.contrib.auth), allowing a failure to enforce strict data boundary conditions. A threat actor could leverage this oversight to seize control of the underlying infrastructure and pivot to adjacent networks. The Precogs PII & Secrets Scanner mitigates this by flagging exposed sensitive data patterns to identify exploitable weaknesses before attackers do."
What is this vulnerability?
CVE-2013-1443 is categorized as a critical Sensitive Data Exposure flaw. Based on our vulnerability intelligence, this issue occurs when the application fails to securely handle untrusted data boundaries.
The authentication framework (django.contrib.auth) in Django 1.4.x before 1.4.8, 1.5.x before 1.5.4, and 1.6.x before 1.6 beta 4 allows remote attackers to.
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
| Metric | Value |
|---|---|
| CVSS Base Score | 9.8 (CRITICAL) |
| Vector String | N/A |
| Published | May 17, 2022 |
| Last Modified | September 18, 2024 |
| Related CWEs | N/A |
Impact on Systems
✅ Authentication Bypass: Leaked credentials allow attackers to impersonate legitimate users or systems.
✅ Data Breach: Exposed PII triggers regulatory violations (GDPR/CCPA) and massive reputational damage.
✅ Lateral Movement: Exposed API tokens can be used to pivot deeper into internal infrastructure.
How to fix this issue?
Implement the following strategic mitigations immediately to eliminate the attack surface.
1. Secret Management Migrate all hardcoded secrets to a secure vault (e.g., AWS Secrets Manager, HashiCorp Vault).
2. Data Masking Implement automated redaction for logs to prevent PII/credentials from leaking into observability platforms.
3. Automated Scanning Deploy Precogs Secrets Scanner in pre-commit hooks and CI pipelines to prevent secret commits.
Vulnerability Signature
// Generic Secrets Exposure Vector
// DANGEROUS: Hardcoded secrets in source control or logs
const apiKey = "sk_live_1234567890abcdef";
console.log(`Connecting to API with key $\{apiKey\}`);
// SECURED: Secrets fetched from environment at runtime
const apiKey = process.env.API_SECRET_KEY;
if (!apiKey) throw new Error("API configuration missing");
// Never log secrets
console.log('Connecting to API... [REDACTED]');
References and Sources
Vulnerability Code Signature
Attack Data Flow
| Stage | Detail |
|---|---|
| Source | Source code repository or API response |
| Vector | Secrets embedded directly in the codebase or PII leaked in response |
| Sink | Version control system or HTTP response |
| Impact | Data breach, unauthorized access, compliance violation |
Vulnerable Code Pattern
// ❌ VULNERABLE: Hardcoded credential & PII Leak
public class Config {
// Taint sink: secret embedded in code
public static final String API_KEY = "sk_live_1234567890abcdef";
}
// ... API Response leaks full user details including SSN ...
Secure Code Pattern
// ✅ SECURE: Environment variables & Data Masking
public class Config {
// Sanitized configuration
public static final String API_KEY = System.getenv("STRIPE_API_KEY");
}
// ... API Response masks SSN and restricts PII exposure ...
How Precogs Detects This
Precogs PII & Secrets Scanner continuously monitors codebases and API responses for hardcoded secrets and unintended PII exposure.\n