PT-2026-59219 · Pypi · Langchain-Core
Published
2026-07-13
·
Updated
2026-07-13
CVSS v3.1
3.7
Low
| Vector | AV: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:
get num tokens from messages()processes messages containingimage urlcontent blocks- For images without
detail: "low", it callsurl to size()to fetch the image and compute token counts url to size()performshttpx.get(image source)on any URL without validation- Prior to the patch, there was no SSRF protection, size limits, or explicit timeout
File:
libs/partners/openai/langchain openai/chat models/base.pyPatches
The vulnerability has been patched in
langchain-openai==1.1.9 (requires langchain-core==1.2.11).The patch adds:
- 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
- Explicit size limits (50 MB maximum, matching OpenAI's payload limit)
- Explicit timeout (5 seconds, same as
httpx.getdefault) - Allow disabling image fetching via
allow fetching images=Falseparameter
Workarounds
If you cannot upgrade immediately:
- Sanitize input: Validate and filter
image urlvalues before passing messages to token counting or model invocation - Use network controls: Implement egress filtering to prevent outbound requests to private IPs
Fix
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Related Identifiers
Affected Products
Langchain-Core