External risk intelligence

Remote takeover of SGLang AI systems.

CVE advisorySeverity: CRITICAL (CVSS 9.8)

CVE-2026-7304

SGLang AI systems face a critical risk of takeover. An attacker can run unauthorized code remotely on systems using SGLang's generation runtime without needing any login, if a specific configuration option is enabled.

4Halo Surface Signal

Deserialization

Lmsys Sglang

0.5.10

External exposure likelihood

Halo Surface Signal score for CVE-2026-7304

SGLang functions as a model-serving framework, which is typically deployed as a network-accessible API endpoint or service to facilitate multimodal generation. Such services are commonly configured as backend APIs that receive input from applications or clients over the network, making them plausible candidates for exposure in standard production deployment patterns.

Horizon Alert

Summary of the vulnerability and why it matters

This vulnerability allows for unauthenticated remote code execution in the SGLangs multimodal generation runtime. The issue arises when a specific configuration option is enabled, allowing untrusted Python objects to be loaded and deserialized without proper validation. This could allow an attacker to execute arbitrary code on the affected system.

  • Attackers can execute code remotely.
  • Affects systems running SGLangs runtime.
  • No authentication is needed to exploit.

Attack Path

How an attacker could exploit the issue

An attacker could exploit this vulnerability by sending a specially crafted request to a SGLang multimodal generation runtime that has the `--enable-custom-logit-processor` option enabled. This would allow them to execute arbitrary code on the server due to the insecure deserialization of Python objects loaded via `dill.loads()`.

  • Unauthenticated network access.
  • Target: SGLang runtime with specific option.
  • Insecure object deserialization.

Live Threat

Current exploitation, exposure, and threat context

Attackers are likely to target this vulnerability because it enables unauthenticated remote code execution, a highly desirable outcome for compromising systems. The ability to execute arbitrary code without needing any prior access or privileges significantly lowers the barrier to exploitation.

  • Unauthenticated RCE.
  • Publicly disclosed.
  • Remote attack vector.

Priority actions

Operational Fix

Recommended remediation, mitigation, and detection steps

Prioritize disabling the `--enable-custom-logit-processor` option or isolating services using SGLang where this is enabled. The vulnerability allows unauthenticated remote code execution through unsafe deserialization, indicating a critical risk of compromise.

  • Disable `--enable-custom-logit-processor`.
  • Isolate affected SGLang services.
  • Monitor for suspicious network activity.

Frequently asked questions

What is SGLang and what is it used for?

SGLang is a multimodal generation runtime. It is used to facilitate the generation of content by AI models, likely for applications that process and create various forms of media.

What is CVE-2026-7304 and what is the weakness?

CVE-2026-7304 is a vulnerability in SGLang that allows for unauthenticated remote code execution. The weakness is insecure deserialization (CWE-502), where Python objects loaded via `dill.loads()` are processed without proper checks.

How can an attacker exploit this SGLang vulnerability?

An attacker can exploit this by sending a malicious request to a SGLang system where the `--enable-custom-logit-processor` option is active. This option enables the loading and deserialization of untrusted Python objects, which can then be used to execute arbitrary code.

Why should I care about this CVE based on Halo Surface Signal?

You should care because this vulnerability is classified as external, meaning it is likely internet-facing. SGLang is typically deployed as a network-accessible service, making it a potential target for remote attacks.

What should I do if I am running SGLang?

As a first step, consider disabling the `--enable-custom-logit-processor` option if it is not essential for your SGLang deployment. If disabling is not possible, isolate the affected SGLang services to limit potential impact.

References