CVE-2025-22603
[AutoGPT] There is an SSRF vulnerability in AutoGPT Beta via IPv6
Executive Summary
CVE-2025-22603 is a critical severity vulnerability affecting appsec, ai-code. It is classified as Server-Side Request Forgery. Ensure your systems and dependencies are patched immediately to mitigate exposure risks.
Precogs AI Insight
"The fundamental weakness here is traced back to within the affected component, allowing an architectural oversight in input validation. In a real-world scenario, an attacker could exploit this by silently exfiltrate sensitive routing topologies and internal schemas. Precogs identifies insecure data flow paths before deployment to alert security teams to imminent boundary violations."
What is this vulnerability?
CVE-2025-22603 is categorized as a critical Application Verification Flaw flaw. Based on our vulnerability intelligence, this issue occurs when the application fails to securely handle untrusted data boundaries.
Analysis
There is an SSRF vulnerability inside component (or block) Send Web Request.
The root cause is that IPV6 address is not restricted or .
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 | 9.5 (CRITICAL) |
| Vector String | N/A |
| Published | March 8, 2025 |
| Last Modified | March 11, 2025 |
| Related CWEs | CWE-918 |
Impact on Systems
✅ Unauthorized Access: Flaws in application logic can permit unauthorized interaction with protected APIs.
✅ Data Manipulation: Adversaries may alter critical application states, such as user roles or configurations.
✅ Service Disruption: Improper error handling or unvalidated inputs can lead to resource exhaustion.
How to fix this issue?
Implement the following strategic mitigations immediately to eliminate the attack surface.
1. Defense in Depth Implement multi-layered validation (client-side, API gateway, and server-side).
2. Least Privilege Ensure backend service accounts operate with the absolute minimum rights required.
3. Security Regression Testing Integrate automated semantic security scanning into the deployment pipeline.
Vulnerability Signature
// Generic Application Security Flaw (Node.js)
app.post('/api/update-profile', (req, res) =\> \{
// DANGEROUS: Mass Assignment / Object Injection
// Attacker can pass \{ "isAdmin": true, "email": "..." \}
User.update(\{ id: req.user.id \}, req.body);
// SECURED: Explicitly select permitted fields
const \{ email, displayName, bio \} = req.body;
User.update(\{ id: req.user.id \}, \{ email, displayName, bio \});
\});
References and Sources
- NVD — CVE-2025-22603
- MITRE — CVE-2025-22603
- CWE-918 — MITRE CWE
- CWE-918 Details
- Application Security Vulnerabilities
- AI Code Security Vulnerabilities
Vulnerability Code Signature
Attack Data Flow
| Stage | Detail |
|---|---|
| Source | User-supplied URL parameter |
| Vector | Server fetches the user-controlled URL |
| Sink | HTTP request library (e.g., fetch, axios) |
| Impact | Access to internal services, metadata endpoints, or port scanning |
Vulnerable Code Pattern
// ❌ VULNERABLE: Server-Side Request Forgery
app.get('/proxy', async (req, res) => {
const targetUrl = req.query.url;
// Taint sink: unvalidated outbound request
const response = await fetch(targetUrl);
res.send(await response.text());
});
Secure Code Pattern
// ✅ SECURE: Allowlist validation
const ALLOWED_DOMAINS = ['api.partner.com'];
app.get('/proxy', async (req, res) => {
const targetUrl = new URL(req.query.url);
if (!ALLOWED_DOMAINS.includes(targetUrl.hostname)) {
return res.status(403).send("Domain not allowed");
}
// Sanitized outbound request
const response = await fetch(targetUrl.href);
res.send(await response.text());
});
How Precogs Detects This
Precogs API Security Engine actively detects SSRF vulnerabilities by tracking unvalidated URL sinks and enforcing strict allowlist policies.\n