Vulnary
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Critical· 9.2

CVE-2026-63764

This vulnerability lets attackers trick the lmdeploy API into fetching data from internal network addresses. By sending a specially crafted image_url that redirects to internal services, an attacker can read sensitive information such as cloud metadata. The flaw is exploitable without authentication.

publishedJul 21, 2026
last modifiedJul 23, 2026
sourcesNVD
severity · cvss
9.2
critical · how bad it is
exploitation · epss
<1%
23th percentile · chance of exploitation in 30 days
(ai-assisted) A model wrote this summary from the official data, so double-check it against the source before you act on it. Read the official advisory →
auto-deletes from the system
counting…on Sep 4, 2026

No official fix yet. If none appears within 45 days of first tracking, this entry is removed automatically.

01

Who is affected

lmdeploy's OpenAI-compatible API server. Users who deploy the lmdeploy API server and expose the chat completions endpoint to the internet are affected.

02

Real-world impact

An attacker could read internal network resources, including cloud instance metadata, potentially exposing credentials or configuration data.

03

Why this severity

The CVSS score of 9.2 reflects that the flaw is easy to exploit (low attack complexity), requires no user interaction, and gives attackers high impact on confidentiality and integrity by allowing them to read internal data.

04

What to do about it

no official fix yet
interim mitigations
  • Disable or remove the image_url feature from the chat completions endpoint until a patch is released.
  • Restrict outbound network access from the API server to prevent it from following redirects to internal addresses.

No official fix or mitigation is documented in the sources yet. Monitor the vendor advisory and apply the patch as soon as it is released.

No fix documented in sources

05

Timeline

06

How it’s attacked

Attack vectorNetwork (remote)
Attack complexityLow
Attack requirementsNone
Privileges requiredNone
User interactionNone needed
Confidentiality impactNone
Integrity impactHigh
Availability impactLow
07

References & advisories

(ai-assisted) A model wrote this summary from the official data, so double-check it against the source before you act on it. Read the official advisory →