Server-side request forgery (SSRF) In pydantic-ai-slim
Description
Pydantic AI has Server-Side Request Forgery (SSRF) in URL Download Handling
Summary
A Server-Side Request Forgery (SSRF) vulnerability exists in Pydantic AI's URL download functionality. When applications accept message history from untrusted sources, attackers can include malicious URLs that cause the server to make HTTP requests to internal network resources, potentially accessing internal services or cloud credentials.
This vulnerability only affects applications that accept message history from external users, such as those using:
Agent.to_web or clai web to serve a chat interface
VercelAIAdapter for Vercel AI SDK integration
AGUIAdapter or Agent.to_ag_ui for AG-UI protocol integration
Custom APIs that accept message history from user input
Applications that only use hardcoded or developer-controlled URLs are not affected.
Description
The download_item() helper function downloads content from URLs without validating that the target is a public internet address. When user-supplied message history contains URLs, attackers can:
Access internal services: Request http://127.0.0.1, localhost, or private IP ranges (10.x.x.x, 172.16.x.x, 192.168.x.x)
Steal cloud credentials: Access cloud metadata endpoints (AWS IMDSv1 at 169.254.169.254, GCP, Azure, Alibaba Cloud)
Scan internal networks: Enumerate internal hosts and ports
Who Is Affected
You are affected if your application:
Uses Agent.to_web or clai web - The web interface accepts file attachments via the Vercel AI Data Stream Protocol, where users can provide arbitrary URLs through chat messages.
Uses VercelAIAdapter - Chat interfaces built with Vercel AI SDK allow users to submit messages containing URLs that are processed server-side.
Uses AGUIAdapter or Agent.to_ag_ui - The AG-UI protocol allows users to provide file references with URLs as part of agent interactions.
Exposes a custom API accepting message history - Any endpoint that accepts message history or ImageUrl, AudioUrl, VideoUrl, DocumentUrl objects from user input.
Attack Scenario
Via chat interface, an attacker submits a message with a file attachment pointing to an internal resource:
{ "role": "user", "parts": [ {"type": "file", "mediaType": "image/png", "url": "http://169.254.169.254/latest/meta-data/iam/security-credentials/"} ] }
Affected Model Integrations
Multiple model integrations download URL content in certain conditions:
Provider | Downloaded Types |
|---|---|
OpenAIChatModel | AudioUrl, DocumentUrl |
AnthropicModel | DocumentUrl (text/plain) |
GoogleModel (GLA) | All URL types (except YouTube and Files API URLs) |
XaiModel | DocumentUrl |
BedrockConverseModel | ImageUrl, DocumentUrl, VideoUrl (non-S3 URLs) |
OpenRouterModel | AudioUrl |
Remediation
Upgrade to Patched Version
Upgrade to the patched version or later. The fix adds comprehensive SSRF protection:
Blocks private/internal IP addresses by default
Always blocks cloud metadata endpoints (even with allow-local)
Only allows http:// and https:// protocols
Resolves hostnames before requests to prevent DNS rebinding
Validates each redirect target
New force_download='allow-local' Option
If an application legitimately needs to access local/private network resources (e.g., in a fully trusted internal environment), it can explicitly opt in:
from pydantic_ai import ImageUrl # Default behavior: private IPs are blocked ImageUrl(url="http://internal-service/image.png") # Raises ValueError # Opt-in to allow local access (use with caution) ImageUrl(url="http://internal-service/image.png", force_download='allow-local')
Important: Cloud metadata endpoints (169.254.169.254, fd00:ec2::254, 100.100.100.200) are always blocked, even with allow-local.
Workaround for Older Versions
If a project cannot upgrade immediately, use a history processor to filter out URLs targeting local/private addresses:
import ipaddress import socket from urllib.parse import urlparse from pydantic_ai import Agent, ModelMessage, ModelRequest from pydantic_ai.messages import AudioUrl, DocumentUrl, ImageUrl, VideoUrl def is_private_url(url: str) -> bool:...
Technical Details of the Fix
The fix introduces a new _ssrf.py module with comprehensive protection:
Protocol validation: Only http:// and https:// allowed
DNS resolution before request: Prevents DNS rebinding attacks
Private IP blocking (by default):
127.0.0.0/8, ::1/128 (loopback)
10.0.0.0/8, 172.16.0.0/12, 192.168.0.0/16 (private)
169.254.0.0/16, fe80::/10 (link-local)
100.64.0.0/10 (CGNAT)
fc00::/7 (unique local)
2002::/16 (6to4, can embed private IPv4)
Cloud metadata always blocked: 169.254.169.254, fd00:ec2::254, 100.100.100.200
Safe redirect handling: Each redirect validated before following (max 10)
Mitigation
Update Impact
Minimal update. May introduce new vulnerabilities or breaking changes.
Ecosystem | Package | Affected version | Patched versions |
|---|---|---|---|
pypi | 1.56.0 | ||
pypi | 1.56.0 |
Aliases
References