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Lmdeploy CVE-2026-33626

| EUVD-2026-23970 HIGH
Server-Side Request Forgery (SSRF) (CWE-918)
2026-04-20 GitHub_M GHSA-6w67-hwm5-92mq
7.5
CVSS 3.1 · GitHub Advisory
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Severity by source

GitHub Advisory PRIMARY
7.5 HIGH
AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N

Primary rating from GitHub Advisory · only source for this CVE.

CVSS VectorGitHub Advisory

CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
Attack Vector
Network
Attack Complexity
Low
Privileges Required
None
User Interaction
None
Scope
Unchanged
Confidentiality
High
Integrity
None
Availability
None

Lifecycle Timeline

8
PoC Detected
Apr 23, 2026 - 13:39 vuln.today
Public exploit code
Patch released
Apr 23, 2026 - 13:39 nvd
Patch available
Re-analysis Queued
Apr 21, 2026 - 16:22 vuln.today
cvss_changed
Patch available
Apr 20, 2026 - 22:31 EUVD
Analysis Generated
Apr 20, 2026 - 21:44 vuln.today
EUVD ID Assigned
Apr 20, 2026 - 21:15 euvd
EUVD-2026-23970
Analysis Generated
Apr 20, 2026 - 21:15 vuln.today
CVE Published
Apr 20, 2026 - 20:29 nvd
HIGH 7.5

DescriptionGitHub Advisory

LMDeploy is a toolkit for compressing, deploying, and serving large language models. Versions prior to 0.12.3 have a Server-Side Request Forgery (SSRF) vulnerability 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. Version 0.12.3 patches the issue.

AnalysisAI

Server-Side Request Forgery (SSRF) in InternLM LMDeploy's vision-language module allows remote unauthenticated attackers to access cloud metadata services, internal networks, and sensitive resources through unvalidated URL fetching in the load_image() function. Affects all versions prior to 0.12.3. …

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Attack ChainAIDerived

Hypothetical attack flow derived from CVE metadata

Access
Identify LMDeploy vision-language API endpoint
Delivery
Craft inference request with malicious URL (metadata service or internal IP)
Exploit
LMDeploy server executes SSRF via load_image()
Execution
Retrieve sensitive data from response (credentials, internal documents, network mapping)
Impact
Leverage exposed credentials for lateral movement or data exfiltration

Vulnerability AssessmentAI

Exploitation Exploitation requires the LMDeploy deployment to expose the vision-language module's image processing API (specifically any endpoint that accepts user-supplied image URLs and invokes the load_image() function in lmdeploy/vl/utils.py). … Additional conditions and limiting factors are described in the full assessment.
Risk Assessment Real-world risk is HIGH for deployments exposing LMDeploy's vision-language API to untrusted networks. … Full risk analysis with EPSS, KEV, and SSVC signal comparison available after sign-in.
Exploit Scenario An attacker identifies an internet-facing LMDeploy instance with vision-language capabilities deployed in AWS EC2. They send a crafted inference request with an image URL pointing to http://169.254.169.254/latest/meta-data/iam/security-credentials/ (AWS metadata service). …
Remediation Upgrade to InternLM LMDeploy version 0.12.3 or later immediately, as confirmed by the official release at https://github.com/InternLM/lmdeploy/releases/tag/v0.12.3. … Detailed patch versions, workarounds, and compensating controls in full report.

Recommended ActionAI

Within 24 hours: inventory all InternLM LMDeploy deployments and identify running versions below 0.12.3; isolate affected instances from production if version cannot be confirmed. …

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CVE-2026-33626 vulnerability details – vuln.today

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