PT-2026-59219 · Pypi · Langchain-Core

Published

2026-07-13

·

Updated

2026-07-13

CVSS v3.1

3.7

Low

VectorAV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:L

Server-Side Request Forgery (SSRF) in ChatOpenAI Image Token Counting

Summary

The ChatOpenAI.get num tokens from messages() method fetches arbitrary image url values without validation when computing token counts for vision-enabled models. This allows attackers to trigger Server-Side Request Forgery (SSRF) attacks by providing malicious image URLs in user input.

Severity

Low - The vulnerability allows SSRF attacks but has limited impact due to:
  • Responses are not returned to the attacker (blind SSRF)
  • Default 5-second timeout limits resource exhaustion
  • Non-image responses fail at PIL image parsing

Impact

An attacker who can control image URLs passed to get num tokens from messages() can:
  • Trigger HTTP requests from the application server to arbitrary internal or external URLs
  • Cause the server to access internal network resources (private IPs, cloud metadata endpoints)
  • Cause minor resource consumption through image downloads (bounded by timeout)
Note: This vulnerability occurs during token counting, which may happen outside of model invocation (e.g., in logging, metrics, or token budgeting flows).

Details

The vulnerable code path:
  1. get num tokens from messages() processes messages containing image url content blocks
  2. For images without detail: "low", it calls url to size() to fetch the image and compute token counts
  3. url to size() performs httpx.get(image source) on any URL without validation
  4. Prior to the patch, there was no SSRF protection, size limits, or explicit timeout
File: libs/partners/openai/langchain openai/chat models/base.py

Patches

The vulnerability has been patched in langchain-openai==1.1.9 (requires langchain-core==1.2.11).
The patch adds:
  1. SSRF validation using langchain core. security. ssrf protection.validate safe url() to block:
  • Private IP ranges (RFC 1918, loopback, link-local)
  • Cloud metadata endpoints (169.254.169.254, etc.)
  • Invalid URL schemes
  1. Explicit size limits (50 MB maximum, matching OpenAI's payload limit)
  2. Explicit timeout (5 seconds, same as httpx.get default)
  3. Allow disabling image fetching via allow fetching images=False parameter

Workarounds

If you cannot upgrade immediately:
  1. Sanitize input: Validate and filter image url values before passing messages to token counting or model invocation
  2. Use network controls: Implement egress filtering to prevent outbound requests to private IPs

Fix

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Related Identifiers

PYSEC-2026-2562

Affected Products

Langchain-Core