CVE-2026-112269 — SGLang through 0.5.22 Memory Exhaustion via Unauthenticated Mooncake Decode Registrations
SGLang through 0.5.22 with the Mooncake disaggregation backend accepts unauthenticated decode registration messages on the Prefill rank ZMQ PULL socket, allowing denial of service. Network-adjacent attackers can send many registrations with unique mooncake_session_id values and large nested-buffer frames to exhaust Prefill memory until the scheduler is OOM-killed.
Who exploits it and how urgent it is
A 0–100 score combining confirmed exploitation, ransomware and APT use, public exploits, EPSS and severity.
How the score was calculated
- Technical severity (medium)+3
- CISA SSVC: exploitation "poc"+5
The score orders the patch queue; it does not replace your asset context (internet exposure, criticality, compensating controls).
Triage
Is it exploited, how likely is exploitation, what does it touch, and how severe do the sources call it.
CISA SSVC assessment CISA
Three decision points CISA publishes for the CVEs it assesses (SSVC 2.0.3). A stakeholder decision, not a severity score.
Remediation
Fixes and mitigations documented by the sources — linked to the original advisory.
No fix documented by the sources we poll. That does not mean none exists: check the vendor advisory.
First 24 hours
Ordered from the record’s own fields — exposure first, because you cannot patch what you have not found. A rule-generated starting point.
- Identify exposed assets running the affected vendor/product/version combinations (Sgl-project SGLang).
- No fix documented in the sources: reduce exposure and monitor the vendor advisory.
- Search available logs for exploit probes matching the vulnerability class (denial of service), errors and authentication anomalies.
Affected scope
Vendor, product and versions as the sources word them.
| Vendor | Product | Versions | Status | Source |
|---|---|---|---|---|
| Sgl-project | SGLang | ≤ 0.5.22 | Vulnerable | CVE Program (cve.org) e CISA ADP |
Attack characteristics
The CVSS vector, decoded. It describes the attack, not your exposure to it.
Every base score collected
Sources score independently and may disagree; each row says who scored it and under which version.
| Score | Version | Severity | Expl. | Impact | Scored by |
|---|---|---|---|---|---|
| 7.1 | CVSS 4.0 | High | — | — | disclosure@vulncheck.com via NIST National Vulnerability Database |
| 7.1 | CVSS 4.0 | High | — | — | VulnCheck via CVE Program (cve.org) e CISA ADP |
| 6.5 | CVSS 3.1 | Medium | 2.8 | 3.6 | disclosure@vulncheck.com via NIST National Vulnerability Database |
| 6.5 | CVSS 3.1 | Medium | — | — | VulnCheck via CVE Program (cve.org) e CISA ADP |
CVSS:3.1/AV:A/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H (score shown at the top: disclosure@vulncheck.com) Weakness MITRE
Weakness class according to MITRE’s CWE catalog.
CWE-770 · Allocation of Resources Without Limits or Throttling
Detection
Read off the CVSS vector and the weakness class. Starting points, not tested rules.
- Track CPU/memory spikes and availability drops correlated with request patterns.
Timeline
What happened to this CVE, newest first.
- 2026
- SSVC assessment updated
- Affected products added · sgl-project/sglang
- Record published
- CVSS changed · 6.5
- Source status changed · → Deferred
- Record created in this database
- CVE published
Source activity
Repeated readings are counted rather than listed.
- 1× Official description updated · Oct 19, 2026 – Oct 19, 2026
References
5 on the record
- github.com/sgl-project/sglang/blob/v0.5.22/python/sglang/srt/disaggregation/moon
- github.com/sgl-project/sglang/blob/v0.5.22/python/sglang/srt/disaggregation/comm
- github.com/sgl-project/sglang/issues/45012
- github.com/sgl-project/sglang/blob/v0.5.22/python/sglang/srt/disaggregation/moon
- www.vulncheck.com/advisories/sglang-through-0.5.22-memory-exhaustion-via-unauthenticate
Elsewhere on this site
Related CVEs (same products)
- Medium CVE-2026-112270 SGLang through 0.5.22 Memory Exhaustion via Mooncake STAGING_RSP chunk_idx 1d
- Medium CVE-2026-112267 SGLang through 0.5.22 SSRF via bootstrap_host and bootstrap_port on Decode Worker 1d
- Medium CVE-2026-112266 SGLang through 0.5.22 Cross-Request Abort via rid Prefix Matching 1d
- High CVE-2026-112082 sgl-project SGLang Expert-Distribution Recording Endpoint expert_distribution.py Scheduler.expert_distribution_handle denial of service 1d
- Medium CVE-2026-112083 sgl-project SGLang Weight Exporter weight_exporter.py WeightExporter.send_weights_to_remote_instance denial of service 1d
- Medium CVE-2026-111392 SGLang through 0.5.21 KV Cache Poisoning via mm_hashes in /generate 4d
Not in any source we poll
Listed rather than left blank: an empty field and an unmeasured one look identical on screen, and only one is a reason to look elsewhere.
- No FIRST EPSS score.
- No fixed version, patch or mitigation documented.
- No confirmed IOCs, IP addresses, domains, file hashes, or malware artifacts supplied.
- No organization-specific asset inventory, compensating-control status, or patch deployment evidence supplied.
- No exploit packet captures, log samples, or incident case IDs supplied.
Answered from this record
Text assembled only from the fields above — no additional claims.
What should defenders know first?
CVE-2026-112269 is "SGLang through 0.5.22 Memory Exhaustion via Unauthenticated Mooncake Decode Registrations", rated Medium. It affects SGLang (Sgl-project); versions are in the scope table. It is not in CISA KEV, which does not rule out exploitation. CVSS 6.5 describes technical severity. First verify whether exposed or business-critical assets run the affected versions, apply vendor fixes or mitigations, and preserve logs for review.
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