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vLLM CVE-2026-90713

| EUVDEUVD-2026-77463 LOW
Improper Resource Shutdown or Release (CWE-404)
2026-09-14 VulDB GHSA-hvv2-qg7m-ffqp
1.9
CVSS 4.0 · Vendor: VulDB

Severity by source

Vendor (VulDB) PRIMARY
1.9 MEDIUM
CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/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
vuln.today AI
3.3 LOW

Local-only attack via controlled vocab file, low privilege required, only availability (process crash) impacted, no scope change.

3.1 AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L
4.0 AV:L/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N

Primary rating from Vendor (VulDB).

CVSS VectorVendor: VulDB

Attack Vector
Local
Attack Complexity
Low
Privileges Required
Low
User Interaction
None
Scope
X

Lifecycle Timeline

5
Source Code Evidence Fetched
Sep 15, 2026 - 07:17 vuln.today
Analysis Generated
Sep 15, 2026 - 07:17 vuln.today
Severity Changed
Sep 14, 2026 - 13:22 NVD
MEDIUM LOW
CVSS changed
Sep 14, 2026 - 13:22 NVD
4.8 (MEDIUM) 1.9 (LOW)
CVE Published
Sep 14, 2026 - 12:00 cve.org
LOW 1.9

DescriptionCVE.org

A security flaw has been discovered in vllm-project vLLM up to 0.29.0. The affected element is the function TiktokenTokenizer::new of the file rust/src/text/src/backend/hf/mod.rs of the component tiktoken vocab File Handler. The manipulation results in denial of service. The attack is only possible with local access. The exploit has been released to the public and may be used for attacks. The pull request to fix this issue awaits acceptance.

AnalysisAI

Denial-of-service in vLLM's Rust-based tiktoken tokenizer allows a local low-privileged attacker to crash the vLLM process by supplying a crafted vocab file containing duplicate token ranks. The TiktokenTokenizer::new() function in the Rust tokenizer backend previously panicked unconditionally when parsing a tiktoken file with two tokens sharing the same rank value, rather than returning a graceful error. …

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Attack ChainAIDerived

Hypothetical attack flow derived from CVE metadata

Access
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Delivery
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Exploit
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Execution
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Persist
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Impact
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Vulnerability AssessmentAI

Exploitation Exploitation requires local access to the host running vLLM and the ability to supply a crafted tiktoken vocabulary file path that the vLLM process will attempt to load - either by writing to a directory from which vLLM reads tokenizer configs, or by influencing the tokenizer file path through a vLLM configuration mechanism accessible to the attacker. … Additional conditions and limiting factors are described in the full assessment.
Risk Assessment The CVSS 4.0 score of 1.9 (AV:L/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:L) accurately reflects the constrained threat model: exploitation requires local system access and the ability to supply or manipulate a tiktoken vocab file path consumed by vLLM. … Full risk analysis with EPSS, KEV, and SSVC signal comparison available after sign-in.
Exploit Scenario Full exploit scenario with step-by-step reproduction available after sign-in.
Remediation No released patched version is available at time of analysis - the fix exists as an open pull request (https://github.com/vllm-project/vllm/pull/51135) that has not yet been merged or tagged into a release. … Detailed patch versions, workarounds, and compensating controls in full report.

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CVE-2026-90713 vulnerability details – vuln.today

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