CVE-2025-31491

[AutoGPT] Leakage of cross-domain cookies and protected headers in requests redirect

Verified by Precogs Threat Research
Last Updated: Apr 11, 2025
Base Score
8HIGH

Executive Summary

CVE-2025-31491 is a high severity vulnerability affecting pii-secrets, ai-code, binary-analysis, appsec. It is classified as Information Exposure. Ensure your systems and dependencies are patched immediately to mitigate exposure risks.

Precogs AI Insight

"Precogs PII & Secrets Scanner automatically identifies hardcoded credentials, exposed API keys, and personally identifiable information leaks across repositories, CI/CD pipelines, and deployed artifacts."

Exploit Probability
Elevated (52%)
Public POC
Undisclosed
Exploit Probability
Elevated (52%)
Public POC
Available
Affected Assets
pii secretsai codebinary analysisappsecAutoGPTCWE-200

What is this vulnerability?

CVE-2025-31491 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.

Description =========== AutoGPT uses a wrapper around the requests python library, located in [autogpt_platform/backend/backend/util/request.py](http.

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 Score8 (HIGH)
Vector StringN/A
PublishedApril 11, 2025
Last ModifiedApril 11, 2025
Related CWEsCWE-200

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

Related Vulnerabilitiesvia CWE-200