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SGLang EUVD-2026-34185

| CVE-2026-10775 LOW
Improper Resource Shutdown or Release (CWE-404)
2026-06-03 VulDB GHSA-jrcc-j37m-v8fg
1.1
CVSS 4.0 · NVD

Severity by source

NVD PRIMARY
1.1 LOW
CVSS:4.0/AV:L/AC:H/AT:N/PR:L/UI:N/VC:N/VI:L/VA:L/SC:N/SI:N/SA:N/E:P/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X

Primary rating from NVD · only source for this CVE.

CVSS VectorNVD

CVSS:4.0/AV:L/AC:H/AT:N/PR:L/UI:N/VC:N/VI:L/VA:L/SC:N/SI:N/SA:N/E:P/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
Attack Vector
Local
Attack Complexity
High
Privileges Required
Low
User Interaction
None
Scope
X

Lifecycle Timeline

3
Source Code Evidence Fetched
Jun 03, 2026 - 23:31 vuln.today
Analysis Generated
Jun 03, 2026 - 23:31 vuln.today
CVSS changed
Jun 03, 2026 - 23:22 NVD
3.6 (LOW) 1.1 (LOW)

DescriptionCVE.org

A vulnerability was determined in sgl-project SGLang up to 0.5.11. Affected by this vulnerability is the function data_hash of the component Cache Handler. This manipulation causes denial of service. The attack is restricted to local execution. A high degree of complexity is needed for the attack. The exploitation appears to be difficult. The exploit has been publicly disclosed and may be utilized. The pull request to fix this issue awaits acceptance.

AnalysisAI

Hash collision weaknesses in SGLang's multimodal Cache Handler (all versions through 0.5.11) allow a local low-privilege attacker to craft multimodal tensor inputs that produce identical cache keys via truncated SHA256 digests, causing incorrect cache lookups or cache invalidation failures that disrupt LLM serving workflows. The CVSS 4.0 score of 1.1 reflects the strictly local attack vector and high exploitation complexity, limiting real-world impact primarily to multi-tenant inference deployments. …

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Attack ChainAIDerived

Hypothetical attack flow derived from CVE metadata

Access
Obtain local low-privilege access to SGLang host
Delivery
Analyze multimodal cache key derivation logic
Exploit
Craft tensor inputs with colliding 8-byte SHA256 truncations
Execution
Submit inputs to trigger cache key collision in data_hash
Persist
Corrupt cache entries for subsequent multimodal requests
Impact
Degrade service availability or integrity via incorrect cached embeddings

Vulnerability AssessmentAI

Exploitation Local system access is required - this vulnerability cannot be exploited remotely (AV:L). … Additional conditions and limiting factors are described in the full assessment.
Risk Assessment The CVSS 4.0 score of 1.1 (AV:L/AC:H/AT:N/PR:L/UI:N/VC:N/VI:L/VA:L with E:P) places this at the bottom of the severity scale. … Full risk analysis with EPSS, KEV, and SSVC signal comparison available after sign-in.
Exploit Scenario A local user on a shared SGLang multimodal inference server submits a crafted series of tensor inputs engineered to produce identical 8-byte-truncated SHA256 cache keys. Because tensor shape and dtype are not incorporated into the hash, two tensors with identical raw byte values but different shapes hash identically. …
Remediation Upstream fix available via GitHub PR #22033 (https://github.com/sgl-project/sglang/pull/22033), which expands SHA256 truncation from 8 to 16 bytes across all hash functions, introduces shape and dtype boundary markers as structural metadata in tensor hash derivation, replaces Python's non-deterministic hash() in multimodal_cache.py with deterministic SHA256, and adds type-tagged serialization for nested list inputs to prevent cross-type collisions. … Detailed patch versions, workarounds, and compensating controls in full report.

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EUVD-2026-34185 vulnerability details – vuln.today

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