PatchSiren cyber security CVE debrief
CVE-2026-15978 sgl-project CVE debrief
AI-assisted PatchSiren debrief based on the supplied source corpus. The CVE record was published on 2026-07-30T19:17:08.993Z and has not been modified since then. SGLang contains a model weight exfiltration vulnerability when no API keys are configured, allowing remote attackers to trigger distributed weight broadcasting and data transfer to exfiltrate model weights. Organizations using SGLang should verify their configurations and consider implementing compensating controls to mitigate potential model weight exfiltration. The vulnerability is caused by SGLang exposing two endpoints that allow a remote attacker to trigger distributed weight broadcasting using NCCL and then triggering data transfer. Attackers can exfiltrate all model weights by exploiting this vulnerability. It is recommended that organizations verify SGLang configurations to ensure API keys are properly set up, implement compensating controls to mitigate potential model weight exfiltration, monitor SGLang systems for suspicious activity, review SGLang configurations to ensure proper setup and security, verify affected SGLang deployments exist in managed environments and assign an owner for follow-up, and plan vendor-supported updates or mitigations through normal change control where exposure is confirmed.
- Vendor
- sgl-project
- Product
- SGLang
- CVSS
- HIGH 7.5
- CISA KEV
- Not listed in stored evidence
- Original CVE published
- 2026-07-30
- Original CVE updated
- 2026-07-31
- Advisory published
- 2026-07-30
- Advisory updated
- 2026-07-31
Who should care
Organizations using SGLang, security teams, and administrators responsible for model deployments should be aware of this vulnerability and take necessary actions to mitigate it. They should verify SGLang configurations and consider implementing compensating controls to mitigate potential model weight exfiltration. Additionally, they should monitor SGLang systems for suspicious activity and review SGLang configurations to ensure proper setup and security.
Technical summary
SGLang contains a model weight exfiltration vulnerability when no API keys are configured, allowing remote attackers to trigger distributed weight broadcasting and data transfer to exfiltrate model weights. The vulnerability is caused by SGLang exposing two endpoints that allow a remote attacker to trigger distributed weight broadcasting using NCCL and then triggering data transfer. Attackers can exfiltrate all model weights by exploiting this vulnerability.
Defensive priority
Organizations using SGLang should verify their configurations and consider implementing compensating controls to mitigate potential model weight exfiltration.
Recommended defensive actions
- Verify SGLang configurations to ensure API keys are properly set up.
- Implement compensating controls to mitigate potential model weight exfiltration.
- Monitor SGLang systems for suspicious activity.
- Review SGLang configurations to ensure proper setup and security.
- Verify affected SGLang deployments exist in managed environments and assign an owner for follow-up.
- Plan vendor-supported updates or mitigations through normal change control where exposure is confirmed.
Evidence notes
The CVE record indicates a model weight exfiltration vulnerability in SGLang when no API keys are configured. The NVD entry is currently Awaiting Analysis. Organizations should verify SGLang configurations and consider implementing compensating controls to mitigate potential model weight exfiltration. The vulnerability allows remote attackers to trigger distributed weight broadcasting and data transfer to exfiltrate model weights. SGLang contains a model weight exfiltration vulnerability when no API keys are configured, as SGLang will expose two endpoints that allow a remote attacker to trigger distributed weight broadcasting using NCCL and then triggering data transfer, attackers can exfiltrate all model weights.
Official resources
AI-assisted PatchSiren debrief based on the supplied source corpus. The CVE record was published on 2026-07-30T19:17:08.993Z and has not been modified since then.